fix(web): expand settings controls to content width

Co-authored-by: Cursor <cursoragent@cursor.com>

CHANGELOG.md

@@ -4,56 +4,62 @@ Hy Memory and MemHub are versioned and released independently.
 
 ## Unreleased
 
-- MemHub multi-user hardening (follow-up to #250):
-  - Read responses name the user they were read for: `user_id` (the one
-    asked for, `local` by default) is now on `GET /api/v2/memory-library`,
-    `/memory-library/layers`, `/user-profile`, `/home-summary`,
-    `/memories/graph`, `/raw`, and `POST /api/v2/context/search`,
-    `/api/v1/recall`, `/api/v2/memories/ask`. `ask/stream` carries it on its
-    first (`recall`) event. The Host Bridge context validator accepts the new
-    field and still accepts a Core without it.
-  - `DELETE /api/v2/memories/{id}` answers 404 `memory_not_found` for another
-    user's memory and for an id that does not exist (the same response, so
-    existence is still not revealed), and also when the SDK finds nothing to
-    delete; 204 only when the caller's own memory was deleted. The App treats
-    that 404 as already gone (a double-click delete no longer shows an
-    error); `memhub memories delete` prints "未找到记忆 <id>（可能已删除）",
-    exits 0, and its JSON is `state: "committed"` with `already_gone: true`.
-  - Hermes never reads a `profiles/` directory at any depth (scan, detect and
-    live sync), so a root granted above `~/.hermes` cannot pick up another
-    user's profile. Connecting refuses a root that is the `profiles`
-    container itself (422 `hermes_root_is_profiles_container`) and a root
-    equal to, containing or inside another user's active Hermes grant (409
-    `hermes_root_overlaps_other_user`, symlinks resolved); `local` on
-    `~/.hermes` with another user on `~/.hermes/profiles/<name>` stays
-    allowed. The CLI explains both codes.
-  - `memhub sources connect --user-id` with an invalid id now says the user
-    id need not equal the Hermes profile name (e.g. `--user-id wife-work
-    --root ~/.hermes/profiles/wife:work`).
+- MemHub App now exposes the complete memory-mode lifecycle. New installs
+  explicitly choose lite or pro during onboarding; pro completes only after a
+  generation model is active, while ultra remains an advanced Settings choice.
+  Settings shows mode effects, graph backfill, the default 03:00 evolve
+  schedule and manual evolve. The memory page shows original conversations in
+  lite and advanced memories in pro/ultra. Existing installs remain pro unless
+  the user changes them, and embedding maintenance blocks mode/evolve changes.
 
-- MemHub's DeepSeek Harness app page can grant recall again (#230). The
-  "一键插入应用" switch used to be greyed out with `unsupported_host`, and a
-  profile installed from the CLI stayed `install-only` with no way to approve
-  it. The one switch now covers every detected profile
-  (`deepseek-harness:<profile>`): on installs each profile's MCP patch and
-  grants recall, off removes the patch and revokes the grant. The page lists
-  each profile with its state, and names any profile that failed while
-  keeping the others. While the switch is on, a profile created later is
-  installed and granted automatically, without restarting MemHub; the Runtime
-  also no longer fails every host read when it meets a profile created after
-  it started. The harness docs no longer describe an unmounted sources page.
+## Hy Memory 2.0.13 — 2026-11-02
 
-- MemHub's `deepseek-harness` source imports session files whose names carry the
-  format generation: `session.v3.jsonl.zstd` and `session.v4.jsonl.zstd` are now
-  discovered alongside the original `session.jsonl[.zstd]`. Discovery accepts
-  any `session[.vN].jsonl[.zstd]` name and the header's `version` decides
-  whether the session is parsed (v0/v3/v4) or refused as `unsupported_schema`.
-  A refused file is reported and keeps no cursor, so the release that learns
-  its format reads it from the top.
-  v4 tool results, which are written as plain `text` blocks rather than
-  `tool-result` blocks, are read through the same clipping and credential
-  scrubbing path. Previously every versioned session was invisible: the import
-  job completed with `discovered 0` while the files sat on disk.
+- A model failure during a write now reports failure and stores
+  nothing. **Behaviour change for direct SDK users:** writes that used to
+  return `success: true` in a degraded state now return `success: false`;
+  retry them with a new `request_id` once the model is back.
+  - Reconcile (pro / ultra `add` and `add_extracted`): when the reconcile model
+    call fails, returns HTTP 200 with empty content, or returns a reply that
+    cannot be parsed, or reconcile raises before anything is stored, the write
+    used to fall back to adding every extracted memory as-is (no dedup or
+    evolution) and report success. That fallback is removed, with its
+    `degraded` / `degraded_reason` result fields. The write now returns
+    `success: false`, `error_code: 502`,
+    `agent_error_code: "RECONCILE_FAILED"`, and the cause in the new
+    `reconcile_error_code` (`LLM_UNAVAILABLE`, `EMPTY_RESPONSE`,
+    `JSON_PARSE_FAILED`, `RECONCILE_EXCEPTION`). None of the new memories are
+    stored, the episode counter does not advance, and `add` rolls back its
+    raw turn the same way as an extraction failure
+    (`l1_rollback.retry_safe: true`). An empty 200 reply was previously
+    counted as "no changes" and reported success with 0 memories; only a
+    literal `[]` reply still means that. `RECONCILE_ENABLED=false` is a
+    configuration choice and still writes directly.
+  - Working / coding path: an extraction model failure used to return
+    success with 0 operations. It now returns `success: false` with
+    `agent_error_code` `LLM_ERROR`, `EMPTY_RESPONSE` or `JSON_PARSE_FAILED`.
+    A model that answers with nothing worth remembering is still a success.
+    An embedding failure used to store the experience or fact without a
+    vector, where search never finds it, and report success; it now returns
+    `EMBEDDING_FAILED` and the node is not stored. A fact embedding is checked
+    before any older fact is superseded. A failed write no longer appends its
+    turns to the recent trace and records no `chain_rounds`.
+    With `MEMORY_CODING_VERBATIM_FALLBACK_ENABLED` turned on, extraction
+    failures keep the verbatim fallback.
+  - Working / coding reconcile: when the experience reconcile or the fact
+    reconcile model call fails, returns empty content, or returns a reply that
+    is not a JSON object with an `ops` list, the write returns
+    `success: false`, `agent_error_code: "RECONCILE_FAILED"` and the cause in
+    `reconcile_error_code` (`LLM_UNAVAILABLE`, `EMPTY_RESPONSE`,
+    `JSON_PARSE_FAILED`), the same as chat. Before, experience reconcile fell
+    back to adding every draft, and fact reconcile inserted the new fact
+    without superseding older ones. Both model decisions now run before
+    anything is stored, so a failure in either leaves no experience or fact
+    from the write and supersedes no older fact. An experience reply of
+    `{"ops": []}` is a valid "no changes" decision: the write succeeds and no
+    experience is stored. A non-empty `ops` list with no recognizable op is a
+    parse failure. A fact reply of `{"ops": []}` inserts the new fact without
+    superseding anything. Fact reconcile still makes no model call when there
+    are no candidates.
 
 ## Hy Memory 2.0.12 — 2026-11-02
 
@@ -77,14 +83,17 @@ Hy Memory and MemHub are versioned and released independently.
 
 ## MemHub 1.0.6 — 2026-11-02
 
-Build 37, on `hy-memory==2.0.11`. Linux x64/arm64 Runtime and macOS arm64
+Build 40, on `hy-memory==2.0.13`. Linux x64/arm64 Runtime and macOS arm64
 App and Runtime.
 
 - Interfaces in 11 languages: English, Simplified and Traditional Chinese,
   Japanese, Spanish, German, Portuguese, French, Korean, Russian and
-  Indonesian. Choosing any language other than Simplified Chinese also sets
-  the SDK prompt language; Simplified Chinese keeps the automatic zh/en
-  detection.
+  Indonesian. Every interface language, Simplified Chinese included, sets the
+  SDK prompt language (#270). **User-visible:** zh-Hans users now get Chinese
+  prompts and Chinese memory text for every conversation, English ones
+  included; the App sends the language it displays, also when it follows the
+  system. Only an unset language (CLI/API installs, `memhub settings language
+  system`) keeps the SDK's zh/en detection.
 - Memory modes: lite (no LLM, keeps raw conversations), pro (LLM extraction)
   and ultra (pro plus the knowledge graph and a nightly evolve run). Set with
   `GET`/`PUT /api/v1/settings/memory-mode` or `memhub settings mode`. Raw
@@ -97,10 +106,52 @@ App and Runtime.
   embedding service is unavailable, search returns `embedding_unavailable`.
 - Multi-user Runtime: memory APIs and the CLI take `user_id` (default
   `local`); records are isolated per user; Hermes profiles can be connected as
-  separate users. The App keeps using `local`.
+  separate users. The App keeps using `local`. Hardening (#280): read
+  responses echo `user_id`; deleting another user's memory, or one that does
+  not exist, is 404 `memory_not_found` (the App and `memhub memories delete`
+  treat it as already gone); Hermes never reads a `profiles/` directory, and
+  a root that is the `profiles` container or overlaps another user's grant is
+  refused (`hermes_root_is_profiles_container`,
+  `hermes_root_overlaps_other_user`).
 - Configurable SDK features through the CLI and API (`memhub settings
   features`): graph rerank, episode recall, session episodes, episode
-  summaries, intention and few-shot. Defaults are unchanged.
+  summaries, intention and few-shot, and the intention dedup switch with its
+  threshold (`intention_dedup`, `intention_dedup_threshold`, #277). Defaults
+  are unchanged.
+- Memory writes retry themselves (#278), each time under a new SDK request
+  id after checking whether the previous one landed; interrupted writes
+  re-run automatically. A model provider failure (401/403, 404, 408, 429,
+  5xx, timeout, unreachable) keeps the job pending in place without spending
+  a retry, and a per-profile circuit breaker paces the queue (5 s doubling to
+  180 s, one probe job at a time). Any other failure is retried after 30, 60
+  and 120 s, then `failed`. With `hy-memory==2.0.13` a model failure is no
+  longer a silent success, and a failed job's `error_code` names the SDK's
+  cause (`hy_sdk_reconcile_empty_response`, `hy_sdk_llm_error`, ...) rather
+  than `hy_sdk_write_failed`. **User-visible:** the manual 重新整理 button,
+  the "整理结果不确定" display and
+  `POST /api/v1/memory-processing/retry-unknown` are gone; a banner
+  ("模型配置有问题……记忆暂停处理，已有 N 条在排队") with a button to the model
+  settings shows while a model problem pauses processing, and clears on
+  recovery.
+- Queue, WAL and recall (#278): the WAL stays bounded (64 MiB journal limit,
+  idle `TRUNCATE` checkpoints); a disabled or revoked source's jobs are
+  `suspended` and resume when it is turned back on; SDK writes and recall
+  reads use separate thread pools, and recall has a total budget (504
+  `recall_timeout`, `broker_timeout` in clients) instead of starving behind
+  stuck writes.
+- One Runtime per data dir (#273). App quit asks the service manager at quit
+  time: an enabled background service is never stopped, a disabled one has
+  every Runtime of the data dir stopped (only after an authenticated identity
+  check), and an unknown state stops nothing. At start the App adopts a
+  Runtime of the same build, replaces an older one, and silently adopts a
+  newer one. The tray quit label follows the current state.
+- DeepSeek Harness: the app page's one switch installs and grants recall for
+  every detected profile, and keeps new profiles granted without a restart
+  (#230); versioned session files (`session.v3.jsonl.zstd`,
+  `session.v4.jsonl.zstd`) are imported, and v4 tool output goes through the
+  same clipping and scrubbing (#175).
+- The packaged Runtime accepts only a full 40-character commit, lowercased; a
+  malformed `ONE_MEMORY_COMMIT` fails the build (#235, #236).
 - Search and recall pass through the SDK's search parameters with server-side
   score floors; the memory library filters by layer; `/api/v2/raw` returns
   data again; v2 source and import routes; profile version history.

README.md

@@ -33,7 +33,7 @@ English | [中文](README.zh.md)
 ## Latest News
 
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 🚀 **Open-sourced** quantized **FP8** (**[Hy-Memory-30B-A3B-FP8](https://huggingface.co/tencent/Hy-Memory-30B-A3B-FP8)**) and **GGUF** (**[Hy-Memory-30B-A3B-GGUF](https://huggingface.co/tencent/Hy-Memory-30B-A3B-GGUF)**) versions of **Hy-Memory-30B-A3B** on Hugging Face!
-* *<mark>[new]</mark>* 🔥🔥🔥 **[2026-11]**: 📦 **Released [MemHub v1.0.6](https://github.com/Tencent-Hunyuan/Hy-Memory/releases/tag/v1.0.6)** with interfaces in 11 languages, memory modes (lite / pro / ultra with nightly evolve), safe embedding-model switching, multi-user support for the CLI and API, and more reliable upgrades, on **`hy-memory==2.0.11`**. See the release notes for details.
+* *<mark>[new]</mark>* 🔥🔥🔥 **[2026-11]**: 📦 **Released [MemHub v1.0.6](https://github.com/Tencent-Hunyuan/Hy-Memory/releases/tag/v1.0.6)** with interfaces in 11 languages, memory modes (lite / pro / ultra with nightly evolve), safe embedding-model switching, multi-user support for the CLI and API, memory writes that retry themselves and pause while the model provider is down, and more reliable upgrades, on **`hy-memory==2.0.13`**. See the release notes for details.
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 📦 **Released [MemHub v1.0.5](https://github.com/Tencent-Hunyuan/Hy-Memory/releases/tag/v1.0.5)** with Chinese, English and Spanish interfaces, one-time pairing codes for more custom Harnesses, and smoother browsing, search, startup and recovery, on **`hy-memory==2.0.8`**. See the release notes for details.
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 📦 **Released [MemHub v1.0.4](https://github.com/Tencent-Hunyuan/Hy-Memory/releases/tag/v1.0.4)** and **[memhub-cli 1.0.5](https://www.npmjs.com/package/memhub-cli/v/1.0.5)**, with a signed macOS desktop app and verified macOS/Linux Runtimes!
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 🚀 **Released** **Hy Memory 2.0 (`hy-memory==2.0.4`)** on [PyPI](https://pypi.org/project/hy-memory/2.0.4/) and open-sourced the **Hy-Memory** monorepo together with **[MemHub](memhub/README.md)**!

README.zh.md

@@ -33,7 +33,7 @@
 ## 最新动态
 
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 🚀 **模型开源** 在 Hugging Face 发布 **Hy-Memory-30B-A3B** 的 **FP8**（**[Hy-Memory-30B-A3B-FP8](https://huggingface.co/tencent/Hy-Memory-30B-A3B-FP8)**）与 **GGUF**（**[Hy-Memory-30B-A3B-GGUF](https://huggingface.co/tencent/Hy-Memory-30B-A3B-GGUF)**）量化版本模型！
-* *<mark>[new]</mark>* 🔥🔥🔥 **[2026-11]**: 📦 **正式发布 [MemHub v1.0.6](https://github.com/Tencent-Hunyuan/Hy-Memory/releases/tag/v1.0.6)**：界面支持 11 种语言，新增记忆模式（lite / pro / ultra，ultra 每晚自动整理），可安全切换嵌入模型，CLI 和 API 支持多用户，升级更可靠；底层使用 **`hy-memory==2.0.11`**。详见发布说明。
+* *<mark>[new]</mark>* 🔥🔥🔥 **[2026-11]**: 📦 **正式发布 [MemHub v1.0.6](https://github.com/Tencent-Hunyuan/Hy-Memory/releases/tag/v1.0.6)**：界面支持 11 种语言，新增记忆模式（lite / pro / ultra，ultra 每晚自动整理），可安全切换嵌入模型，CLI 和 API 支持多用户，记忆写入自动重试、模型服务异常时暂停排队，升级更可靠；底层使用 **`hy-memory==2.0.13`**。详见发布说明。
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 📦 **正式发布 [MemHub v1.0.5](https://github.com/Tencent-Hunyuan/Hy-Memory/releases/tag/v1.0.5)**：支持中文、英文和西班牙语界面，可通过一次性配对码连接更多自定义 Harness，并优化了记忆浏览、搜索、启动和异常恢复；底层使用 **`hy-memory==2.0.8`**。详见发布说明。
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 📦 **正式发布 [MemHub v1.0.4](https://github.com/Tencent-Hunyuan/Hy-Memory/releases/tag/v1.0.4)** 与 **[memhub-cli 1.0.5](https://www.npmjs.com/package/memhub-cli/v/1.0.5)**，提供已签名的 macOS 桌面应用及经过验证的 macOS/Linux Runtime！
 * *<mark>[new]</mark>* 🔥🔥🔥 **[2026-10]**: 🚀 **正式发布** **Hy Memory 2.0 (`hy-memory==2.0.4`)**（已上线 [PyPI](https://pypi.org/project/hy-memory/2.0.4/)），并开源 **Hy-Memory** monorepo 与 **[MemHub](memhub/README.md)**！

docs/multi_speaker_design.md

@@ -107,5 +107,5 @@ L1_RAW 保存的内容使用上述渲染格式。历史回读时：
 ```bash
 python -m pytest -q \
   tests/test_multi_speaker_format.py \
-  tests/test_reconcile_fallback.py
+  tests/test_reconcile_failure.py
 ```

docs/scene_coding_usage.md

@@ -150,7 +150,23 @@ working/coding 写入返回双层结果：
 }
 ```
 
-`scene="coding"` 还会返回 `chain_rounds`。出于历史兼容，该字段当前统计本次识别并处理
+抽取 LLM 调用失败、返回空 content 或回复解析不出 JSON，以及经验 / 事实向量化失败时，
+写入返回 `success=False`、`error_code=502`，`agent_error_code` 依次为 `LLM_ERROR`、
+`EMPTY_RESPONSE`、`JSON_PARSE_FAILED`、`EMBEDDING_FAILED`，`error_message` 以
+`[CODE]` 开头；没有向量的经验 / 事实不会落库，失败的写入也不追加对话 trace，换一个
+`request_id` 重跑即可。模型正常作答但没有值得记的内容仍是 `success=True`、0 条。
+显式开启 `MEMORY_CODING_VERBATIM_FALLBACK_ENABLED` 时抽取失败沿用原文兜底。
+
+经验层 / 事实层 reconcile 的模型决策同样不再兜底：LLM 调用失败、返回空 content 或回复
+不是带 `ops` 列表的 JSON 对象时，写入返回 `success=False`、
+`agent_error_code="RECONCILE_FAILED"`，原因在 `reconcile_error_code`（`LLM_UNAVAILABLE` /
+`EMPTY_RESPONSE` / `JSON_PARSE_FAILED`，与 chat 链路一致）。两层的模型决策都在落库之前
+完成，任何一层失败时本次一条经验 / 事实都不存，旧事实也不会被覆盖。经验层回复
+`{"ops": []}` 表示「无需任何操作」，写入成功、经验层不存；`ops` 非空却没有一条可识别的
+op 视为解析失败。事实层回复 `{"ops": []}` 表示都不覆盖、照常插入新事实；没有候选时不
+调用 LLM。
+
+`scene="coding"` 还会返回 `chain_rounds`（写入失败时不记录演进链，也不返回该字段）。出于历史兼容，该字段当前统计本次识别并处理
 的 diff hunk 数，而不保证等于最终合并后的唯一演进 round 数。`0` 表示没有识别到可记录
 的代码修改，不代表双层 memory 写入失败。
 

docs/usage.md

@@ -128,6 +128,14 @@ result = client.add(
 双层 reconcile 操作、`experience_ids`、`fact_ids` 等字段，完整结构见
 [scene_coding_usage.md](scene_coding_usage.md#4-返回结构)。
 
+写入失败时 `success=False`，`error_code` 为 HTTP 风格的整数，`agent_error_code` 给出稳定
+失败码。pro / ultra 的 reconcile（新事实与已有记忆判重、合并）模型调用失败、返回空
+content 或回复解析不出时，`add` 与 `add_extracted` 都报 `agent_error_code="RECONCILE_FAILED"`，
+具体原因在 `reconcile_error_code`（`LLM_UNAVAILABLE` / `EMPTY_RESPONSE` /
+`JSON_PARSE_FAILED` / `RECONCILE_EXCEPTION`）。此时本次一条新记忆都不落库，`add` 已写入
+的原始对话按抽取失败同样回滚（`l1_rollback.retry_safe=True`）；模型恢复后换一个
+`request_id` 重跑即可。`RECONCILE_ENABLED=false` 时不调用 reconcile，直接写入。
+
 `mode="lite"` 不执行 LLM 抽取，写入内容直接以 `L1_RAW` 形式保存。lite 的 Search 是
 严格的 raw-only 向量检索：无论调用方传入什么 `layers`、`scene` 或 `search_mode`，都只
 召回 `L1_RAW`，不会进入 working/coding、Schema 或 Intention 链路，也不会调用场景判断

hy_memory/agent/reconciler.py

@@ -136,10 +136,10 @@ class ReconcileResult:
     ops: List[ReconcileOp] = field(default_factory=list)
     success: bool = True
     error: Optional[str] = None
-    # True = reconcile 失败后走了「全部 ADD」兜底（见 _fallback_add_ops）。
-    # 结果仍然可用（success=True），但没有做过去重/演化判定，可能引入重复。
-    degraded: bool = False
-    degraded_reason: Optional[str] = None
+    # success=False 时的稳定失败码：LLM_UNAVAILABLE / EMPTY_RESPONSE /
+    # JSON_PARSE_FAILED / RECONCILE_EXCEPTION。失败时 ops 恒为空：writer 什么都
+    # 不落库，整次写入报失败，调用方换个 request_id 重跑即可（reconcile 会判重）。
+    error_code: Optional[str] = None
     # reconcile 链路 LLM token 消耗（search-query + reconcile 两次 LLM 调用之和）
     prompt_tokens: int = 0
     completion_tokens: int = 0
@@ -151,7 +151,7 @@ class ReconcileResult:
     # 用 content 作 key 而不是 node_id：新记忆此刻还没入库、没有 id。
     candidate_scores: Dict[str, List[Tuple[str, float]]] = field(default_factory=dict)
     # reconcile 候选检索已经为每条新 memory 算过 embedding。把原始文本对应向量交回
-    # writer，ADD-all / degraded ADD 可直接落库，避免同一事实再次请求 embedding。
+    # writer，原文不变的 ADD 可直接落库，避免同一事实再次请求 embedding。
     # 仅按完全相同 content 复用；LLM 改写后的 UPDATE/SUPERSEDE 会重新计算，防止错配。
     new_memory_embeddings: Dict[str, List[float]] = field(default_factory=dict)
 
@@ -394,49 +394,6 @@ class MemoryReconciler:
 
         return [], None
 
-    @staticmethod
-    def _fallback_add_ops(
-        new_memories: List[str],
-        new_memories_with_meta: Optional[List[Dict]] = None,
-    ) -> List[ReconcileOp]:
-        """reconcile 彻底失败时的兜底：把抽取结果**原样全部 ADD**。
-
-        为什么必须有这个兜底：reconcile 只是决定「新事实和旧记忆怎么合」。它挂了（网关 500、
-        JSON 解析不出）不代表抽取结果没价值 —— 此前的行为是把一整批完好的事实**全部丢弃**，
-        线上实测因此丢掉过整块内容（含评测题的正确答案）。宁可留重复也不要丢内容：
-        重复还能被后续 dedup / reconcile 收拾，丢了就永远找不回来。
-        """
-        metas = new_memories_with_meta or []
-        by_content = {
-            (m.get("content") or ""): m for m in metas if isinstance(m, dict)
-        }
-        ops: List[ReconcileOp] = []
-        for text in new_memories:
-            if not text:
-                continue
-            meta = by_content.get(text) or {}
-            ops.append(ReconcileOp(
-                op="ADD",
-                content=text,
-                layer=meta.get("layer"),
-                tags=meta.get("tags") or [],
-                owner=meta.get("owner"),
-                topic_paths=meta.get("topic_paths") or [],
-                event_facet=meta.get("event_facet") or {},
-                topic_assignments=meta.get("topic_assignments") or [],
-                topic_paths_provided=bool(
-                    meta.get("topic_paths_provided", "topic_paths" in meta)
-                ),
-                event_facet_provided=bool(
-                    meta.get("event_facet_provided", "event_facet" in meta)
-                ),
-                topic_assignments_provided=bool(meta.get(
-                    "topic_assignments_provided", "topic_assignments" in meta,
-                )),
-                reason="reconcile unavailable → stored as-is (degraded)",
-            ))
-        return ops
-
     async def reconcile(
         self,
         new_memories: List[str],
@@ -1088,8 +1045,8 @@ class MemoryReconciler:
                     )
                 except Exception as e:
                     # LLM 彻底不可用（provider 已按 max_retries 重试过，网关 500 /
-                    # 连接错误等）。**不能让它冒泡** —— 冒泡会让整批抽取结果连带丢弃。
-                    # 交给下面的 ADD-all 兜底。
+                    # 连接错误等）。不冒泡：下面统一记 RECONCILE 失败日志，再返回
+                    # success=False —— writer 不落任何新记忆，整次写入报失败。
                     _llm_error = f"{type(e).__name__}: {e}"
                     logger.warning(f"[reconciler] RECONCILE LLM unavailable: {_llm_error}")
                     break
@@ -1097,7 +1054,7 @@ class MemoryReconciler:
                 _tok_pt += response.prompt_tokens
                 _tok_ct += response.completion_tokens
                 _tok_total += response.tokens_used
-                raw_response = response.content
+                raw_response = response.content or ""
                 ops = self._parse_ops(raw_response)
                 ops = enforce_time_order(ops, current_time, candidate_map)
                 ops = self._inherit_exact_input_structure(
@@ -1106,7 +1063,9 @@ class MemoryReconciler:
                 if _structure_metadata_on:
                     ops = self._resolve_structure_references(ops, candidate_map)
 
-                _is_empty_array = self._strip_code_fence(raw_response) in ("[]", "")
+                # 只有字面量 "[]" 才是「模型判定无需任何操作」。HTTP 200 但 content
+                # 为空不是决策，是失败：按 EMPTY_RESPONSE 处理，不能当成 0 条成功。
+                _is_empty_array = self._strip_code_fence(raw_response) == "[]"
                 if ops or _is_empty_array:
                     _parse_ok = True
                     break
@@ -1136,7 +1095,7 @@ class MemoryReconciler:
                     error_msg = (
                         f"RECONCILE LLM returned empty response after {_n_attempts} attempts"
                     )
-                    error_code = "EMPTY_RESPONSE" 
+                    error_code = "EMPTY_RESPONSE"
                 logger.warning(f"[reconciler] {error_msg}")
 
                 if cache and request_id:
@@ -1153,14 +1112,13 @@ class MemoryReconciler:
                                 {
                                     "error": error_code,
                                     "message": error_msg,
-                                    "fallback": "ADD_ALL",
-                                    "fallback_count": len(new_memories or []),
+                                    "stored": 0,
                                 },
                                 ensure_ascii=False,
                             ),
                             elapsed_ms=recon_elapsed,
-                            # LLM 彻底不可用时 response 是 None —— 这行本身会抛
-                            # AttributeError，而它正好在兜底路径上，会把兜底也一起废掉
+                            # LLM 彻底不可用时 response 是 None —— 直接取属性会抛
+                            # AttributeError，把失败日志本身也废掉
                             prompt_tokens=getattr(response, "prompt_tokens", 0) or 0,
                             completion_tokens=getattr(response, "completion_tokens", 0) or 0,
                             total_tokens=getattr(response, "tokens_used", 0) or 0,
@@ -1170,22 +1128,16 @@ class MemoryReconciler:
                             f"[reconciler] store failed RECONCILE log failed: {e}"
                         )
 
-                # 兜底：JSON 解析不出来不等于抽取结果没价值 —— 全部 ADD，别丢内容。
-                _fb = self._fallback_add_ops(new_memories, new_memories_with_meta)
-                logger.warning(
-                    f"[reconciler] falling back to ADD-all: {len(_fb)} memories "
-                    f"({error_code})"
-                )
+                # 不做 ADD-all 兜底：没经过判重 / 演化的整批 ADD 会在重跑时产生重复，
+                # 而且调用方看到 success 就不会重试。这里报失败、不落库，由调用方重跑。
                 return ReconcileResult(
-                    ops=_fb,
-                    success=bool(_fb),
-                    error=None if _fb else error_msg,
-                    degraded=bool(_fb),
-                    degraded_reason=error_code,
+                    ops=[],
+                    success=False,
+                    error=error_msg,
+                    error_code=error_code,
                     prompt_tokens=_tok_pt,
                     completion_tokens=_tok_ct,
                     total_tokens=_tok_total,
-                    new_memory_embeddings=new_memory_embeddings,
                 )
 
             # 写 RECONCILE pipeline log
@@ -1250,20 +1202,14 @@ class MemoryReconciler:
 
         except Exception as e:
             logger.error(f"[reconciler] failed: {e}", exc_info=True)
-            # 兜底同样适用于「reconcile 链路任意环节炸了」（候选检索、embed、
-            # prompt 组装…）。此前这里返回 ops=[] → writer 直接丢弃整批抽取结果。
-            _fb = self._fallback_add_ops(new_memories, new_memories_with_meta)
-            if _fb:
-                logger.warning(
-                    f"[reconciler] falling back to ADD-all after unexpected error: "
-                    f"{len(_fb)} memories"
-                )
-                return ReconcileResult(
-                    ops=_fb, success=True,
-                    degraded=True, degraded_reason=f"EXCEPTION:{type(e).__name__}",
-                    new_memory_embeddings=dict(new_memory_embeddings or {}),
-                )
-            return ReconcileResult(ops=[], success=False, error=str(e))
+            # reconcile 链路任意环节炸了（候选检索、embed、prompt 组装…）：此时还
+            # 没有任何新记忆落库，报失败让整次写入可以干净地重跑。
+            return ReconcileResult(
+                ops=[],
+                success=False,
+                error=f"{type(e).__name__}: {e}",
+                error_code="RECONCILE_EXCEPTION",
+            )
 
     @staticmethod
     def _inherit_exact_input_structure(

hy_memory/client.py

@@ -134,6 +134,7 @@ _WRITE_DIAGNOSTIC_KEYS = (
     "agent_status",
     "agent_error_code",
     "agent_error",
+    "reconcile_error_code",
     "l1_rollback",
     "l1_rollback_failed",
     "partial_agent_persist",
@@ -1863,6 +1864,7 @@ class HyMemoryClient:
         branch: Optional[str] = None,
         request_id: Optional[str] = None,
         layers: Optional[List[Any]] = None,
+        statuses: Optional[List[Any]] = None,
         embed_override: Optional[Dict[str, Any]] = None,
         query_embedding: Optional[List[float]] = None,
         rerank: bool = True,
@@ -1955,6 +1957,8 @@ class HyMemoryClient:
             layers:             可选。pro/ultra 下只召回指定层级（字符串或
                                 MemoryLayer），在召回阶段生效。lite 下忽略该参数并
                                 强制只召回 L1_RAW。
+            statuses:           仅用于 L1_RAW 定向搜索，可显式包含 active / shadow。
+                                非 raw 搜索或 scene="all" 传入时拒绝，避免静默忽略。
             rerank:             默认 True（原行为）。False 时本次调用跳过全部重排阶段：
                                 chat 路的本地 cross-encoder 重排（recall.local_rerank_enabled）
                                 与记忆关系图重排（graph_rerank / episode 扩展），working/
@@ -1998,7 +2002,7 @@ class HyMemoryClient:
             intention_limit=intention_limit, created_after=created_after,
             reader=reader,
             workspace_id=workspace_id, branch=branch,
-            request_id=request_id, layers=layers,
+            request_id=request_id, layers=layers, statuses=statuses,
             embed_override=embed_override,
             query_embedding=query_embedding,
             rerank=rerank,
@@ -3032,7 +3036,9 @@ class HyMemoryClient:
                 # 版本演进链层（scene="coding" 独有）。放在 writer.write 之后、返回
                 # 之前，因为它只依赖对话原文，与向量层写入结果无关。
                 # best-effort：这层挂不上不影响本次 add 的向量层产出。
-                if scene_variant == "coding":
+                # 向量层写入失败（success=False）时跳过：调用方会重跑整段，失败的
+                # 那次不该先把改动记进演进链。
+                if scene_variant == "coding" and resp.get("success"):
                     resp["chain_rounds"] = self._observe_chain(
                         chat_messages, user_id=uid,
                         workspace_id=workspace_id, branch=branch,
@@ -3384,12 +3390,14 @@ class HyMemoryClient:
         request_id: str,
         t0: float,
         query_embedding: Optional[List[float]],
+        statuses: Optional[List[Any]],
     ) -> Dict[str, Any]:
         """Implement `search(..., layers=['l1_raw'])` without a second API."""
         from .models.memory import MemoryLayer, MemoryStatus
 
         embedding = query_embedding or await self._embed_service.embed(query)
         fetch = min(max(limit * (10 if session_ids else 2), limit), 10_000)
+        status_filter = self._normalize_statuses(statuses) or [MemoryStatus.ACTIVE]
         hits = await self._vector_store.search(
             query_embedding=embedding,
             user_ids=user_ids,
@@ -3399,7 +3407,7 @@ class HyMemoryClient:
             layers=[MemoryLayer.L1_RAW],
             limit=fetch,
             score_threshold=min_score,
-            status_filter=[MemoryStatus.ACTIVE],
+            status_filter=status_filter,
             only_latest=False,
             created_after=created_after,
         )
@@ -3417,7 +3425,7 @@ class HyMemoryClient:
                     "memory_id": row.pop("raw_id"),
                     **row,
                     "layer": MemoryLayer.L1_RAW.value,
-                    "status": MemoryStatus.ACTIVE.value,
+                    "status": node.status.value,
                     "score": round(float(hit.get("score", 0.0)), 4),
                 }
             )
@@ -3861,6 +3869,7 @@ class HyMemoryClient:
         branch: Optional[str] = None,
         request_id: Optional[str] = None,
         layers: Optional[List[Any]] = None,
+        statuses: Optional[List[Any]] = None,
         embed_override: Optional[Dict[str, Any]] = None,
         query_embedding: Optional[List[float]] = None,
         rerank: bool = True,
@@ -3890,7 +3899,7 @@ class HyMemoryClient:
                     schema_min_score=schema_min_score, schema_limit=schema_limit,
                     intention_limit=intention_limit, created_after=created_after,
                     reader=reader, workspace_id=workspace_id, branch=branch,
-                    request_id=request_id, layers=layers,
+                    request_id=request_id, layers=layers, statuses=statuses,
                     query_embedding=query_embedding,
                     rerank=rerank,
                 )
@@ -3905,7 +3914,7 @@ class HyMemoryClient:
             schema_min_score=schema_min_score, schema_limit=schema_limit,
             intention_limit=intention_limit, created_after=created_after,
             reader=reader, workspace_id=workspace_id, branch=branch,
-            request_id=request_id, layers=layers,
+            request_id=request_id, layers=layers, statuses=statuses,
             query_embedding=query_embedding,
             rerank=rerank,
         )
@@ -3935,6 +3944,7 @@ class HyMemoryClient:
         branch: Optional[str] = None,
         request_id: Optional[str] = None,
         layers: Optional[List[Any]] = None,
+        statuses: Optional[List[Any]] = None,
         query_embedding: Optional[List[float]] = None,
         rerank: bool = True,
     ) -> Dict[str, Any]:
@@ -4020,6 +4030,17 @@ class HyMemoryClient:
                 "Use single agent_id with multiple session_ids, or multiple agent_ids without session_ids."
             )
 
+        if statuses is not None:
+            from .models.memory import MemoryLayer
+
+            requested_layers = self._normalize_layers(layers)
+            if scene_all or (
+                not lite_mode and requested_layers != [MemoryLayer.L1_RAW]
+            ):
+                raise ValueError(
+                    "statuses is supported only for explicit L1_RAW search"
+                )
+
         if scene_all:
             return await self._search_all_scenes(
                 query, queries=queries, search_mode=search_mode,
@@ -4355,6 +4376,7 @@ class HyMemoryClient:
                 request_id=request_id,
                 t0=t0,
                 query_embedding=query_embedding,
+                statuses=statuses,
             )
 
         read_req = ReadRequest(

hy_memory/coding/__init__.py

@@ -12,6 +12,7 @@ HY Memory - Coding Memory 模块
 
 from .types import (
     CodingMemory,
+    CodingWriteError,
     CodingMemoryDraft,
     ReconcileOp,
     WorkingFact,
@@ -26,6 +27,7 @@ from .types import (
 
 __all__ = [
     "CodingMemory",
+    "CodingWriteError",
     "CodingMemoryDraft",
     "ReconcileOp",
     "WorkingFact",

hy_memory/coding/extractor.py

@@ -33,7 +33,7 @@ from .preproc import (
     prepare_extractor_messages,
 )
 from .judge import _store_coding_log
-from .types import CodingMemoryDraft, WorkingFactDraft
+from .types import CodingMemoryDraft, CodingWriteError, WorkingFactDraft
 
 
 
@@ -217,6 +217,10 @@ class CodingMemoryExtractor:
         Returns:
             (经验草稿, 事实草稿)。两层都可能为空。只有显式启用
             verbatim_fallback_enabled 时，模型没产出 fact 才调用 _verbatim_fact。
+
+        Raises:
+            CodingWriteError: 未开启原文兜底时，LLM 调用失败（LLM_ERROR）、返回空
+                content（EMPTY_RESPONSE）或回复解析不出 JSON 对象（JSON_PARSE_FAILED）。
         """
         if not messages:
             return [], []
@@ -268,8 +272,9 @@ class CodingMemoryExtractor:
             )
         except Exception as e:
             logger.warning(f"[coding-extract] LLM call failed: {e}")
-            # 经验层不兜底。事实层原文兜底也默认关闭，避免 assistant/tool 轨迹被
-            # 当作 statement 直接展示；仅在配置显式开启时保留旧行为。
+            # 经验层不兜底。事实层原文兜底默认关闭，避免 assistant/tool 轨迹被
+            # 当作 statement 直接展示；关闭时 LLM 失败抛 CodingWriteError(LLM_ERROR)，
+            # 整次写入报失败，而不是「成功、0 条」。仅在配置显式开启时保留旧行为。
             verbatim = (
                 self._verbatim_fact(messages)
                 if self.verbatim_fallback_enabled else None
@@ -296,9 +301,33 @@ class CodingMemoryExtractor:
                 ),
                 elapsed_ms=round((time.perf_counter() - _t0) * 1000, 2),
             )
+            if not self.verbatim_fallback_enabled:
+                raise CodingWriteError(
+                    "LLM_ERROR",
+                    f"coding extract LLM call failed: {type(e).__name__}: {e}",
+                ) from e
             return [], ([verbatim] if verbatim else [])
         _elapsed = round((time.perf_counter() - _t0) * 1000, 2)
 
+        # 模型答了且没有可记的内容（如 {"experiences": [], "fact": null}）是正常的空
+        # 抽取；200 但 content 为空、或回复解析不出 JSON 对象，是模型失败，不能当成
+        # 「成功、0 条」。原文兜底显式开启时沿用旧行为（交给下面的 verbatim 兜底）。
+        failure = self._output_failure(resp.content)
+        if failure is not None and not self.verbatim_fallback_enabled:
+            code, message = failure
+            await _store_coding_log(
+                self.cache, request_id=request_id, user_id=user_id, agent_id=agent_id,
+                session_id=session_id or "", step="CODING_EXTRACT", prompt=prompt,
+                response=resp.content or "",
+                parsed=json.dumps(
+                    {"drafts": 0, "error": code, "message": message},
+                    ensure_ascii=False,
+                ),
+                elapsed_ms=_elapsed, prompt_tokens=resp.prompt_tokens,
+                completion_tokens=resp.completion_tokens, total_tokens=resp.tokens_used,
+            )
+            raise CodingWriteError(code, message)
+
         raw_experiences, raw_facts = self._parse_output(resp.content)
 
         # 经验层的 files 走规则抽取（整段轨迹碰过的文件）；事实层的 files 由 LLM
@@ -478,12 +507,22 @@ class CodingMemoryExtractor:
         return "\n".join(rows)
 
     @classmethod
-    def _parse_output(
-        cls, text: str
-    ) -> Tuple[List[Dict[str, Any]], List[Dict[str, Any]]]:
-        """宽松解析 LLM 输出 JSON，返回 (experiences, facts) 两个原始列表。"""
+    def _output_failure(cls, text: Optional[str]) -> Optional[Tuple[str, str]]:
+        """回复本身是失败时返回 (error_code, message)；正常（含空抽取）返回 None。"""
+        if not (text or "").strip():
+            return "EMPTY_RESPONSE", "coding extract LLM returned empty response"
+        if cls._load_output_object(text) is None:
+            return (
+                "JSON_PARSE_FAILED",
+                f"coding extract output is not a JSON object ({len(text)} chars)",
+            )
+        return None
+
+    @staticmethod
+    def _load_output_object(text: Optional[str]) -> Optional[Dict[str, Any]]:
+        """宽松解析 LLM 输出，返回顶层 JSON 对象；解析不出返回 None。"""
         if not text:
-            return [], []
+            return None
         s = text.strip()
         # 去 markdown fence
         if s.startswith("```"):
@@ -509,8 +548,17 @@ class CodingMemoryExtractor:
                     obj = json.loads(s[start: end + 1])
                 except Exception:
                     obj = None
+        return obj if isinstance(obj, dict) else None
 
-        if not isinstance(obj, dict):
+    @classmethod
+    def _parse_output(
+        cls, text: str
+    ) -> Tuple[List[Dict[str, Any]], List[Dict[str, Any]]]:
+        """宽松解析 LLM 输出 JSON，返回 (experiences, facts) 两个原始列表。"""
+        if not text:
+            return [], []
+        obj = cls._load_output_object(text)
+        if obj is None:
             logger.warning(
                 f"[coding-extract] failed to parse output ({len(text or '')} chars)"
             )

hy_memory/coding/fact_reconciler.py

@@ -18,6 +18,7 @@ import json
 import logging
 import os
 import uuid
+from dataclasses import dataclass, field
 from datetime import datetime
 from typing import Any, Dict, List, Optional, Tuple
 
@@ -34,6 +35,7 @@ from .types import (
 
 
     MAX_FACT_CHAIN_ENTRIES,
+    CodingWriteError,
     FactReconcileOp,
     WorkingFact,
     WorkingFactDraft,
@@ -259,6 +261,16 @@ def build_chain_summary_prompt(
     return with_output_language(prompt, code, explicit=explicit is not None), code
 
 
+@dataclass
+class FactReconcilePlan:
+    """plan() 的产物：覆盖判定已完成、尚未落库。apply() 才执行 store 操作。"""
+
+    drafts: List[WorkingFactDraft]
+    candidates: List[List[WorkingFact]] = field(default_factory=list)
+    supersedes: Dict[int, List[str]] = field(default_factory=dict)
+    context: Dict[str, Any] = field(default_factory=dict)
+
+
 # ================================================================
 # WorkingFactReconciler
 # ================================================================
@@ -327,15 +339,63 @@ class WorkingFactReconciler:
         language: Optional[str] = None,
     ) -> Tuple[List[WorkingFact], List[FactReconcileOp]]:
         """
-        执行 reconcile + 持久化。memory_at 是这段对话的时间，记到新事实上。
-        language 为显式 prompt 语言码（None → zh/en 自动检测），同时用于演变总结。
+        执行 reconcile + 持久化（plan() 后紧接 apply()）。memory_at 是这段对话的
+        时间，记到新事实上。language 为显式 prompt 语言码（None → zh/en 自动检测），
+        同时用于演变总结。
 
         Returns:
-            (真正落库的新事实, 执行过的 ops)。LLM 挂掉时退化为全 INSERT 不覆盖，
-            宁可多留一条过期事实，也不因为一次调用失败丢结论。
+            (真正落库的新事实, 执行过的 ops)。
+
+        Raises:
+            CodingWriteError(RECONCILE_FAILED)：覆盖判定的 LLM 失败 / 空回复 /
+                解析不出。此时既不插入新事实，也不覆盖任何旧事实。
         """
+        plan = await self.plan(
+            drafts,
+            user_id=user_id,
+            agent_id=agent_id,
+            session_id=session_id,
+            workspace_id=workspace_id,
+            branch=branch,
+            source=source,
+            memory_at=memory_at,
+            language=language,
+        )
+        return await self.apply(plan)
+
+    async def plan(
+        self,
+        drafts: List[WorkingFactDraft],
+        *,
+        user_id: str,
+        agent_id: str = "default_agent",
+        session_id: Optional[str] = None,
+        workspace_id: Optional[str] = None,
+        branch: Optional[str] = None,
+        source: str = "default",
+        memory_at: Optional[datetime] = None,
+        language: Optional[str] = None,
+    ) -> FactReconcilePlan:
+        """检索 candidates + 覆盖判定，不落库。
+
+        没有任何候选时不调 LLM（全部 INSERT 是确定的结论，不是兜底）。调了 LLM 时，
+        有效回复 = JSON 对象且 "ops" 是列表（空列表 = 都不覆盖、只插入）。LLM 调用
+        失败（LLM_UNAVAILABLE）、200 但 content 为空（EMPTY_RESPONSE）、回复不是
+        上述形状（JSON_PARSE_FAILED）时抛 CodingWriteError(RECONCILE_FAILED)。
+        此前 LLM 失败会退化为全 INSERT 不覆盖，留下本该被接续的旧事实。
+        """
+        context = dict(
+            user_id=user_id,
+            agent_id=agent_id,
+            session_id=session_id,
+            workspace_id=workspace_id,
+            branch=branch,
+            source=source,
+            memory_at=memory_at,
+            language=language,
+        )
         if not drafts:
-            return [], []
+            return FactReconcilePlan(drafts=[], context=context)
 
         candidates = await self._retrieve_candidates(
             drafts,
@@ -349,27 +409,37 @@ class WorkingFactReconciler:
 
         try:
             supersedes = await self._llm_decide(drafts, candidates, language=language)
+        except CodingWriteError:
+            raise
         except Exception as e:
-            logger.warning(
-                f"[fact-reconcile] LLM decide failed, insert without supersede: {e}"
-            )
-            supersedes = {}
+            logger.warning(f"[fact-reconcile] LLM decide failed: {e}")
+            raise CodingWriteError(
+                "RECONCILE_FAILED",
+                f"working fact reconcile LLM call failed: {type(e).__name__}: {e}",
+                cause="LLM_UNAVAILABLE",
+            ) from e
 
+        return FactReconcilePlan(
+            drafts=list(drafts),
+            candidates=candidates,
+            supersedes=supersedes,
+            context=context,
+        )
+
+    async def apply(
+        self, plan: FactReconcilePlan,
+    ) -> Tuple[List[WorkingFact], List[FactReconcileOp]]:
+        """执行 plan() 的决策（覆盖旧事实 + 插入新事实）。"""
+        if not plan.drafts:
+            return [], []
         facts, ops = await self._execute(
-            drafts,
-            candidates,
-            supersedes,
-            user_id=user_id,
-            agent_id=agent_id,
-            session_id=session_id,
-            workspace_id=workspace_id,
-            branch=branch,
-            source=source,
-            memory_at=memory_at,
-            language=language,
+            plan.drafts,
+            plan.candidates,
+            plan.supersedes,
+            **plan.context,
         )
         logger.info(
-            f"[fact-reconcile] drafts={len(drafts)} inserted={len(facts)} "
+            f"[fact-reconcile] drafts={len(plan.drafts)} inserted={len(facts)} "
             f"superseded={sum(1 for o in ops if o.action == 'SUPERSEDE')}"
         )
         return facts, ops
@@ -473,6 +543,11 @@ class WorkingFactReconciler:
             max_tokens=self.max_tokens,
             audit_stage="coding_fact_reconcile",
         )
+        failure = self._reply_failure(resp.content)
+        if failure is not None:
+            code, message = failure
+            logger.warning(f"[fact-reconcile] {code}: {message}")
+            raise CodingWriteError("RECONCILE_FAILED", message, cause=code)
         return self._parse_ops(resp.content)
 
     # ------------------------------------------------------------
@@ -599,11 +674,24 @@ class WorkingFactReconciler:
             rows.append(f"for draft[{i}]:\n" + "\n".join(cand_rows))
         return "\n\n".join(rows) if rows else "(none)"
 
+    @classmethod
+    def _reply_failure(cls, text: Optional[str]) -> Optional[Tuple[str, str]]:
+        """回复本身是失败时返回 (cause, message)；有效回复（含 {"ops": []}）返回 None。"""
+        if not (text or "").strip():
+            return "EMPTY_RESPONSE", "working fact reconcile LLM returned empty response"
+        obj = cls._load_object(text)
+        if not isinstance(obj, dict) or not isinstance(obj.get("ops"), list):
+            return (
+                "JSON_PARSE_FAILED",
+                f"working fact reconcile output has no ops list ({len(text)} chars)",
+            )
+        return None
+
     @staticmethod
-    def _parse_ops(text: str) -> Dict[int, List[str]]:
-        """宽松解析 ops，返回 {draft_idx: [fact_id...]}。"""
+    def _load_object(text: Optional[str]) -> Optional[Dict[str, Any]]:
+        """宽松解析出顶层 JSON 对象；解析不出返回 None。"""
         if not text:
-            return {}
+            return None
         s = text.strip()
         # 去 markdown fence
         if s.startswith("```"):
@@ -621,7 +709,14 @@ class WorkingFactReconciler:
                     obj = json.loads(s[start: end + 1])
                 except Exception:
                     obj = None
+        return obj if isinstance(obj, dict) else None
 
+    @classmethod
+    def _parse_ops(cls, text: str) -> Dict[int, List[str]]:
+        """宽松解析 ops，返回 {draft_idx: [fact_id...]}。"""
+        if not text:
+            return {}
+        obj = cls._load_object(text)
         if not isinstance(obj, dict):
             logger.warning(
                 f"[fact-reconcile] failed to parse ops output ({len(text or '')} chars)"
@@ -689,6 +784,11 @@ class WorkingFactReconciler:
                 memory_at=memory_at,
             )
 
+            # 先确认新事实能向量化，再去覆盖旧事实：否则 embedding 挂掉时旧事实
+            # 已被软删、新事实又落不了库，这条结论就凭空没了。失败抛
+            # CodingWriteError(EMBEDDING_FAILED)，整次写入报失败。
+            new_embedding = await self.store.embed_fact(new_fact)
+
             allowed = {c.fact_id for c in (candidates[idx] if idx < len(candidates) else [])}
             targets = [
                 fid for fid in supersedes.get(idx, [])
@@ -769,7 +869,9 @@ class WorkingFactReconciler:
                         )
 
             try:
-                await self.store.insert_fact(new_fact)
+                await self.store.insert_fact(new_fact, embedding=new_embedding)
+            except CodingWriteError:
+                raise
             except Exception as e:
                 logger.warning(f"[fact-reconcile] INSERT failed: {e}")
                 continue

hy_memory/coding/reconciler.py

@@ -7,6 +7,9 @@ Coding Memory Reconciler
         （DELETE 由 LLM 在 draft 与 candidate 关系中观察到"明确否定/作废"时附带产出）
 
 执行端：reconcile() 调用 store 完成实际 ADD / UPDATE / DELETE 持久化操作。
+CodingWriter 分两步用：先 plan()（检索 + LLM 决策，不落库），等经验层与事实层的
+模型决策都成功后再 apply()（落库）。LLM 失败 / 空回复 / 解析不出时 plan() 抛
+CodingWriteError(RECONCILE_FAILED)，本次写入什么都不存。
 
 复用 LLMConfig.model（与 chat reconciler 共用）。
 
@@ -17,6 +20,7 @@ import json
 import logging
 import time
 import uuid
+from dataclasses import dataclass, field
 from typing import Any, Dict, List, Optional, Tuple
 
 from ..agent.llm_provider import LLMProvider
@@ -29,7 +33,7 @@ from ..prompts import (
 )
 from .judge import _store_coding_log
 from .store import CodingMemoryStore
-from .types import CodingMemory, CodingMemoryDraft, ReconcileOp
+from .types import CodingMemory, CodingMemoryDraft, CodingWriteError, ReconcileOp
 
 
 
@@ -93,6 +97,15 @@ def build_experience_reconcile_prompt(
     return with_output_language(prompt, code, explicit=explicit is not None), code
 
 
+@dataclass
+class ExperienceReconcilePlan:
+    """plan() 的产物：模型已决策、尚未落库。apply() 才执行 store 操作。"""
+
+    drafts: List[CodingMemoryDraft]
+    candidates_per_draft: List[List[CodingMemory]] = field(default_factory=list)
+    ops: List[ReconcileOp] = field(default_factory=list)
+
+
 # ================================================================
 # CodingMemoryReconciler
 # ================================================================
@@ -143,21 +156,52 @@ class CodingMemoryReconciler:
         language: Optional[str] = None,
     ) -> List[ReconcileOp]:
         """
-        执行 reconcile + 持久化。返回执行的 ReconcileOp[]（含成功执行的 ADD/UPDATE/DELETE/SKIP）。
+        执行 reconcile + 持久化（plan() 后紧接 apply()）。返回执行的 ReconcileOp[]
+        （含成功执行的 ADD/UPDATE/DELETE/SKIP）。
 
-        执行错误（如 LLM 失败）会 fail-safe 回退到对每个 draft 直接 ADD。
+        LLM 失败、空回复或解析不出时抛 CodingWriteError(RECONCILE_FAILED)，什么都
+        不落库——不再回退成「全部 ADD」。
+        """
+        plan = await self.plan(
+            drafts,
+            request_id=request_id,
+            user_id=user_id,
+            agent_id=agent_id,
+            session_id=session_id,
+            language=language,
+        )
+        return await self.apply(plan)
 
-        cache 非空时落 CODING_RECONCILE pipeline log——在 LLM 决策后、执行入库前打点，
-        这样即使 store 入库崩溃，reconcile 决策仍已可见（crash 不丢）。
+    async def plan(
+        self,
+        drafts: List[CodingMemoryDraft],
+        *,
+        request_id: str = "",
+        user_id: str = "",
+        agent_id: str = "default_agent",
+        session_id: str = "",
+        language: Optional[str] = None,
+    ) -> ExperienceReconcilePlan:
+        """检索 candidates + LLM 决策，不落库。
+
+        有效回复 = 一个 JSON 对象，其 "ops" 是列表：
+          - {"ops": []}：模型判定「无需任何操作」（与 chat reconcile 的 [] 同义），
+            成功、本层什么都不存；
+          - 非空列表：至少要有一条可识别的 op（ADD/UPDATE/DELETE/SKIP），否则视为
+            解析失败。漏掉的 draft 仍按原规则补 ADD（那是对有效回复的校验兜底，
+            不是模型失败兜底）。
+        LLM 调用失败（LLM_UNAVAILABLE）、200 但 content 为空（EMPTY_RESPONSE）、
+        回复不是上述形状（JSON_PARSE_FAILED）时抛 CodingWriteError(RECONCILE_FAILED)。
+
+        cache 非空时落 CODING_RECONCILE pipeline log（成功、失败都落）。
         """
         if not drafts:
-            return []
+            return ExperienceReconcilePlan(drafts=[])
 
         # 从 draft 回填 trace 身份（writer 通常显式传，这里兜底）
-        if drafts:
-            user_id = user_id or drafts[0].user_id
-            agent_id = agent_id or drafts[0].agent_id
-            session_id = session_id or (drafts[0].session_id or "")
+        user_id = user_id or drafts[0].user_id
+        agent_id = agent_id or drafts[0].agent_id
+        session_id = session_id or (drafts[0].session_id or "")
 
         # 1. 检索 candidates
         candidates_per_draft: List[List[CodingMemory]] = await self._retrieve_candidates(drafts)
@@ -167,19 +211,20 @@ class CodingMemoryReconciler:
         _decide_prompt = ""
         _decide_raw = ""
         _decide_resp = None
+        failure: Optional[Tuple[str, str]] = None
+        ops: List[ReconcileOp] = []
         try:
             ops, _decide_prompt, _decide_raw, _decide_resp = await self._llm_decide(
                 drafts, candidates_per_draft, language=language,
             )
+            failure = self._reply_failure(_decide_raw)
         except Exception as e:
-            logger.warning(f"[coding-reconcile] LLM decide failed, fallback to ADD-all: {e}")
-            ops = [ReconcileOp(action="ADD", draft_idx=i) for i in range(len(drafts))]
+            logger.warning(f"[coding-reconcile] LLM decide failed: {e}")
             _decide_raw = f"[LLM error] {type(e).__name__}: {str(e)[:300]}"
-
-        if not ops:
-            # LLM 输出无 ops，但有 drafts → fallback ADD-all
-            logger.info("[coding-reconcile] LLM returned no ops, fallback to ADD-all")
-            ops = [ReconcileOp(action="ADD", draft_idx=i) for i in range(len(drafts))]
+            failure = (
+                "LLM_UNAVAILABLE",
+                f"coding reconcile LLM call failed: {type(e).__name__}: {e}",
+            )
 
         _decide_elapsed = round((time.perf_counter() - _t0) * 1000, 2)
         # CODING_RECONCILE：LLM 决策完成即打点（执行入库之前，crash 不丢）
@@ -187,17 +232,42 @@ class CodingMemoryReconciler:
             self.cache, request_id=request_id, user_id=user_id, agent_id=agent_id,
             session_id=session_id, step="CODING_RECONCILE",
             prompt=_decide_prompt, response=_decide_raw,
-            parsed=json.dumps({"ops": [o.to_dict() for o in ops]}, ensure_ascii=False, default=str),
+            parsed=json.dumps(
+                {"error": failure[0], "message": failure[1], "stored": 0}
+                if failure else {"ops": [o.to_dict() for o in ops]},
+                ensure_ascii=False, default=str,
+            ),
             elapsed_ms=_decide_elapsed,
             prompt_tokens=getattr(_decide_resp, "prompt_tokens", 0) if _decide_resp else 0,
             completion_tokens=getattr(_decide_resp, "completion_tokens", 0) if _decide_resp else 0,
             total_tokens=getattr(_decide_resp, "tokens_used", 0) if _decide_resp else 0,
         )
+        if failure is not None:
+            code, message = failure
+            logger.warning(f"[coding-reconcile] {code}: {message}")
+            raise CodingWriteError("RECONCILE_FAILED", message, cause=code)
 
-        # 3. 校验 + 执行
-        executed = await self._execute(ops, drafts, candidates_per_draft)
+        return ExperienceReconcilePlan(
+            drafts=list(drafts),
+            candidates_per_draft=candidates_per_draft,
+            ops=ops,
+        )
+
+    async def apply(self, plan: ExperienceReconcilePlan) -> List[ReconcileOp]:
+        """执行 plan() 的决策（store ADD / UPDATE / DELETE）。"""
+        if not plan.drafts:
+            return []
+        if not plan.ops:
+            # 有效的 {"ops": []}：模型判定无需任何操作，本层什么都不存。
+            logger.info(
+                f"[coding-reconcile] drafts={len(plan.drafts)} LLM decided no ops"
+            )
+            return []
+        executed = await self._execute(
+            plan.ops, plan.drafts, plan.candidates_per_draft,
+        )
         logger.info(
-            f"[coding-reconcile] drafts={len(drafts)} ops={len(executed)} "
+            f"[coding-reconcile] drafts={len(plan.drafts)} ops={len(executed)} "
             + ", ".join(f"{a}={sum(1 for o in executed if o.action == a)}"
                         for a in ("ADD", "UPDATE", "DELETE", "SKIP"))
         )
@@ -316,11 +386,30 @@ class CodingMemoryReconciler:
             rows.append(f"for draft[{i}]:\n" + "\n".join(cand_rows))
         return "\n\n".join(rows) if rows else "(none)"
 
+    @classmethod
+    def _reply_failure(cls, text: Optional[str]) -> Optional[Tuple[str, str]]:
+        """回复本身是失败时返回 (cause, message)；有效回复（含 {"ops": []}）返回 None。"""
+        if not (text or "").strip():
+            return "EMPTY_RESPONSE", "coding reconcile LLM returned empty response"
+        obj = cls._load_object(text)
+        ops_raw = obj.get("ops") if isinstance(obj, dict) else None
+        if not isinstance(ops_raw, list):
+            return (
+                "JSON_PARSE_FAILED",
+                f"coding reconcile output has no ops list ({len(text)} chars)",
+            )
+        if ops_raw and not cls._parse_ops(text):
+            return (
+                "JSON_PARSE_FAILED",
+                f"coding reconcile output has no recognizable op ({len(text)} chars)",
+            )
+        return None
+
     @staticmethod
-    def _parse_ops(text: str) -> List[ReconcileOp]:
-        """宽松解析 ops 列表。"""
+    def _load_object(text: Optional[str]) -> Optional[Dict[str, Any]]:
+        """宽松解析出顶层 JSON 对象；解析不出返回 None。"""
         if not text:
-            return []
+            return None
         s = text.strip()
         # 去 markdown fence
         if s.startswith("```"):
@@ -344,8 +433,15 @@ class CodingMemoryReconciler:
                     obj = json.loads(s[start: end + 1])
                 except Exception:
                     obj = None
+        return obj if isinstance(obj, dict) else None
 
-        if not obj or not isinstance(obj, dict):
+    @classmethod
+    def _parse_ops(cls, text: str) -> List[ReconcileOp]:
+        """宽松解析 ops 列表。"""
+        if not text:
+            return []
+        obj = cls._load_object(text)
+        if not obj:
             logger.warning(
                 f"[coding-reconcile] failed to parse ops output ({len(text or '')} chars)"
             )
@@ -394,6 +490,9 @@ class CodingMemoryReconciler:
         - UPDATE  需 draft_idx 合法 + target_experience_id 非空
         - DELETE  需 target_experience_id 非空
         - SKIP    不执行任何 store 操作
+
+        向量化失败（CodingWriteError(EMBEDDING_FAILED)）不吞成「少执行一条」，
+        原样抛给 CodingWriter，整次写入报失败。
         """
         executed: List[ReconcileOp] = []
         # 已被 UPDATE 占用的 draft_idx → 防止同 draft 被重复 ADD/UPDATE
@@ -414,6 +513,8 @@ class CodingMemoryReconciler:
                     op.target_experience_id = memory.experience_id  # 回写 id 供 caller 读
                     executed.append(op)
                     consumed.add(op.draft_idx)
+                except CodingWriteError:
+                    raise
                 except Exception as e:
                     logger.warning(f"[coding-reconcile] ADD failed: {e}")
 
@@ -444,6 +545,8 @@ class CodingMemoryReconciler:
                     await self.store.update(memory)
                     executed.append(op)
                     consumed.add(op.draft_idx)
+                except CodingWriteError:
+                    raise
                 except Exception as e:
                     logger.warning(f"[coding-reconcile] UPDATE failed: {e}")
 
@@ -487,6 +590,8 @@ class CodingMemoryReconciler:
                     target_experience_id=memory.experience_id,
                     reason="fallback ADD (no LLM op)",
                 ))
+            except CodingWriteError:
+                raise
             except Exception as e:
                 logger.warning(f"[coding-reconcile] fallback ADD failed: {e}")
 

hy_memory/coding/store.py

@@ -44,7 +44,7 @@ from ..data.vector_store import create_vector_store
 from ..data.vector_store_base import VectorStoreBase
 from ..models.memory import MemoryLayer, MemoryNode, MemoryStatus
 from ..utils.async_executor import run_in_executor_guarded
-from .types import CodingMemory, WorkingFact
+from .types import CodingMemory, CodingWriteError, WorkingFact
 
 logger = logging.getLogger(__name__)
 
@@ -599,10 +599,15 @@ class CodingMemoryStore:
     # ------------------------------------------------------------
 
     async def insert(self, memory: CodingMemory) -> None:
-        """新增一条 coding memory（SQLite + VDB 全套）"""
+        """新增一条 coding memory（SQLite + VDB 全套）。
+
+        先向量化再落 SQLite：向量化失败抛 CodingWriteError(EMBEDDING_FAILED)，
+        什么都不写，不留一条没有向量、永远检索不到的经验。
+        """
         self._fill_timestamps(memory)
+        embeddings = await self._embed_vec_keys(memory)
         await _run_in_pool(self._upsert_sql_sync, memory)
-        await self._upsert_vec_keys(memory)
+        await self._upsert_vec_keys(memory, embeddings=embeddings)
         logger.info(
             f"[coding-store] inserted experience_id={memory.experience_id} "
             f"keys={1 + len(memory.search_keys)}"
@@ -627,6 +632,8 @@ class CodingMemoryStore:
         ):
             raise ValueError("coding_memory_update_authority_mismatch")
         prev_key_count = 1 + len(prev.search_keys)
+        # 先向量化：失败时旧经验（SQLite 与向量行）原样保留，不改一个字。
+        embeddings = await self._embed_vec_keys(memory)
 
         memory.updated_at = datetime.utcnow()
         if memory.created_at is None:
@@ -637,7 +644,7 @@ class CodingMemoryStore:
         # 删旧 VDB
         await self._delete_vec_keys_by_count(memory.experience_id, prev_key_count)
         # 写新 VDB
-        await self._upsert_vec_keys(memory)
+        await self._upsert_vec_keys(memory, embeddings=embeddings)
         logger.info(
             f"[coding-store] updated experience_id={memory.experience_id} "
             f"old_keys={prev_key_count} new_keys={1 + len(memory.search_keys)}"
@@ -1000,12 +1007,22 @@ class CodingMemoryStore:
     # 事实层
     # ------------------------------------------------------------
 
-    async def insert_fact(self, fact: WorkingFact) -> None:
-        """新增一条事实（SQLite + 事实 collection 各一行）。"""
+    async def insert_fact(
+        self, fact: WorkingFact, embedding: Optional[List[float]] = None,
+    ) -> None:
+        """新增一条事实（SQLite + 事实 collection 各一行）。
+
+        embedding 可由调用方预先用 embed_fact() 算好（fact reconcile 要在覆盖旧
+        事实之前确认新事实能向量化）；不传时这里算。向量化失败抛
+        CodingWriteError(EMBEDDING_FAILED)，什么都不写。
+        """
         if fact.created_at is None:
             fact.created_at = datetime.utcnow()
+        # 先向量化再落 SQLite，理由同 insert()：不落没有向量的事实。
+        if embedding is None:
+            embedding = await self.embed_fact(fact)
         await _run_in_pool(self._upsert_fact_sql_sync, fact)
-        await self._upsert_fact_vec(fact)
+        await self._upsert_fact_vec(fact, embedding=embedding)
         logger.info(f"[coding-store] inserted fact_id={fact.fact_id}")
         logger.debug(
             f"[coding-store] inserted fact_id={fact.fact_id} "
@@ -1574,25 +1591,64 @@ class CodingMemoryStore:
     # VDB 实现
     # ------------------------------------------------------------
 
-    async def _upsert_vec_keys(self, memory: CodingMemory) -> None:
-        """把 task + search_keys 写入 VDB（每行一个 MemoryNode）。"""
-        if self._vec is None:
-            return
-
+    @staticmethod
+    def _vec_key_texts(memory: CodingMemory) -> List[Tuple[str, str]]:
         all_keys: List[Tuple[str, str]] = [("task", memory.task)]
         for k in memory.search_keys:
             if k:
                 all_keys.append(("aspect", k))
+        return all_keys
+
+    async def _embed_vec_keys(
+        self, memory: CodingMemory
+    ) -> Optional[List[List[float]]]:
+        """写入链路用：向量化 task + search_keys，失败抛 CodingWriteError。
+
+        无 VDB 时返回 None（不需要向量）。
+        """
+        if self._vec is None:
+            return None
+        texts = [t for _, t in self._vec_key_texts(memory)]
+        try:
+            embeddings = await self.embed_service.embed_batch(texts)
+        except Exception as e:
+            logger.warning(f"[coding-store] embed_batch failed: {e}")
+            raise CodingWriteError(
+                "EMBEDDING_FAILED",
+                f"coding experience embedding failed: {type(e).__name__}: {e}",
+            ) from e
+        if len(embeddings or []) != len(texts) or not all(embeddings):
+            raise CodingWriteError(
+                "EMBEDDING_FAILED",
+                "coding experience embedding returned no vector",
+            )
+        return embeddings
+
+    async def _upsert_vec_keys(
+        self,
+        memory: CodingMemory,
+        embeddings: Optional[List[List[float]]] = None,
+    ) -> None:
+        """把 task + search_keys 写入 VDB（每行一个 MemoryNode）。
+
+        embeddings 由写入链路预先算好（见 _embed_vec_keys）；不传时现算，
+        失败只记 warning（edit_experience 的手动编辑路径沿用这一行为）。
+        """
+        if self._vec is None:
+            return
+
+        all_keys = self._vec_key_texts(memory)
         if not all_keys:
             return
 
         # batch embed
         texts = [t for _, t in all_keys]
-        try:
-            embeddings = await self.embed_service.embed_batch(texts)
-        except Exception as e:
-            logger.warning(f"[coding-store] embed_batch failed: {e}")
-            return
+        if embeddings is None:
+            try:
+                embeddings = await self.embed_service.embed_batch(texts)
+            except Exception as e:
+                logger.warning(f"[coding-store] embed_batch failed: {e}")
+                return
 
         nodes: List[MemoryNode] = []
         for i, ((kind, text), emb) in enumerate(zip(all_keys, embeddings)):
@@ -1623,7 +1679,34 @@ class CodingMemoryStore:
         except Exception as e:
             logger.warning(f"[coding-store] vdb upsert_batch failed: {e}")
 
-    async def _upsert_fact_vec(self, fact: WorkingFact) -> None:
+    @staticmethod
+    def _fact_vector_text(fact: WorkingFact) -> str:
+        return f"{fact.subject}: {fact.statement}" if fact.subject else fact.statement
+
+    async def embed_fact(self, fact: WorkingFact) -> Optional[List[float]]:
+        """写入链路用：向量化事实检索文本，失败抛 CodingWriteError。
+
+        无事实 VDB 或 statement 为空时返回 None（不需要向量）。
+        """
+        if self._fact_vec is None or not fact.statement:
+            return None
+        try:
+            embedding = await self.embed_service.embed(self._fact_vector_text(fact))
+        except Exception as e:
+            logger.warning(f"[coding-store] fact embed failed: {e}")
+            raise CodingWriteError(
+                "EMBEDDING_FAILED",
+                f"working fact embedding failed: {type(e).__name__}: {e}",
+            ) from e
+        if not embedding:
+            raise CodingWriteError(
+                "EMBEDDING_FAILED", "working fact embedding returned no vector",
+            )
+        return embedding
+
+    async def _upsert_fact_vec(
+        self, fact: WorkingFact, embedding: Optional[List[float]] = None,
+    ) -> None:
         """事实入向量库。一条事实一行，node_id 就是 fact_id。
 
         检索文本是 statement，前面缀上 subject（有的话）。subject 通常已经在
@@ -1634,14 +1717,14 @@ class CodingMemoryStore:
         """
         if self._fact_vec is None or not fact.statement:
             return
-        vector_text = (
-            f"{fact.subject}: {fact.statement}" if fact.subject else fact.statement
-        )
-        try:
-            embedding = await self.embed_service.embed(vector_text)
-        except Exception as e:
-            logger.warning(f"[coding-store] fact embed failed: {e}")
-            return
+        vector_text = self._fact_vector_text(fact)
+        if embedding is None:
+            # edit_fact 的手动编辑路径：现算，失败只记 warning。
+            try:
+                embedding = await self.embed_service.embed(vector_text)
+            except Exception as e:
+                logger.warning(f"[coding-store] fact embed failed: {e}")
+                return
 
         node = MemoryNode(
             node_id=fact.fact_id,

hy_memory/coding/types.py

@@ -25,6 +25,25 @@ FactStatus = Literal["active", "superseded"]
 MAX_FACT_CHAIN_ENTRIES = 8
 
 
+class CodingWriteError(RuntimeError):
+    """working / coding 写入链路里让整次写入失败的模型错误。
+
+    error_code 是稳定失败码，CodingWriter 原样透传为 agent_error_code：
+    - LLM_ERROR          抽取 LLM 调用失败
+    - EMPTY_RESPONSE     抽取 LLM 返回 200 但 content 为空
+    - JSON_PARSE_FAILED  抽取 LLM 的回复解析不出 JSON 对象
+    - EMBEDDING_FAILED   经验 / 事实向量化失败（不落没有向量的节点）
+    - RECONCILE_FAILED   经验 / 事实 reconcile 的模型决策失败；具体原因在 cause
+                         （LLM_UNAVAILABLE / EMPTY_RESPONSE / JSON_PARSE_FAILED），
+                         透传为 reconcile_error_code，与 chat 链路一致
+    """
+
+    def __init__(self, error_code: str, message: str, cause: Optional[str] = None):
+        super().__init__(message)
+        self.error_code = error_code
+        self.cause = cause
+
+
 def _epoch(value: Optional[datetime]) -> Optional[int]:
     """memory_at 对外是秒级 epoch，与 chat 一致。"""
     return int(value.timestamp()) if isinstance(value, datetime) else None

hy_memory/coding/writer.py

@@ -10,8 +10,9 @@ CodingWriter - 写入端协调器
              ├── recent history: 最近 K 个 user-turn（只作上下文）
              ├── new messages: 本次全部 turn（只做单条限长）
              ├── extractor.extract(...)            ← 一次 LLM 产出双层草稿
-             ├── reconciler.reconcile(经验草稿)     ← ADD/UPDATE/DELETE/SKIP
-             ├── fact_reconciler.reconcile(事实草稿) ← INSERT/SUPERSEDE
+             ├── reconciler.plan(经验草稿)          ← ADD/UPDATE/DELETE/SKIP 决策
+             ├── fact_reconciler.plan(事实草稿)      ← INSERT/SUPERSEDE 决策
+             ├── reconciler.apply / fact_reconciler.apply ← 两层决策都成功后才落库
              └── _crosslink(...)                   ← 同批全互链回填
 """
 
@@ -30,7 +31,7 @@ from .judge import classify_messages_is_coding
 from .preproc import has_any_tool_message, prepare_extractor_messages
 from .reconciler import CodingMemoryReconciler
 from .store import CodingMemoryStore
-from .types import FactReconcileOp, ReconcileOp, WorkingFact
+from .types import CodingWriteError, FactReconcileOp, ReconcileOp, WorkingFact
 
 logger = logging.getLogger(__name__)
 
@@ -104,6 +105,13 @@ class CodingWriter:
                 ],
                 "fact_ids": ["..."],         # 这趟真正落库的 fact_id
             }
+
+        模型失败（抽取 LLM 调用失败 / 空回复 / 解析不出）或向量化失败时返回
+        success=False，agent_error_code 为 LLM_ERROR / EMPTY_RESPONSE /
+        JSON_PARSE_FAILED / EMBEDDING_FAILED，error_code=502。经验层 / 事实层
+        reconcile 的模型决策失败时 agent_error_code=RECONCILE_FAILED，原因在
+        reconcile_error_code（LLM_UNAVAILABLE / EMPTY_RESPONSE / JSON_PARSE_FAILED），
+        本次什么都不落库。模型答了但没有值得记的内容仍是 success=True、0 条。
         """
         request_id = request_id or str(uuid.uuid4())
         t0 = time.perf_counter()
@@ -143,6 +151,10 @@ class CodingWriter:
         # 跟库里已有的什么关系是 reconcile 的事。把已有 task 摆到它面前，它会把
         # 一个其实不同的任务往清单里某个措辞上靠，reconciler 随后判成 UPDATE 合并
         # 掉，那个区别就没了——措辞对不上顶多多存一条，措辞被带偏是直接写错。
+        #
+        # 模型失败（LLM 调用失败 / 空回复 / 解析不出）抛 CodingWriteError：整次写入
+        # 报失败、什么都不存，连 trace 也不追加——调用方换个 request_id 重跑时，
+        # 历史窗口里不会多出这段本该是「新消息」的对话。
         try:
             drafts, fact_drafts = await self.extractor.extract(
                 messages,
@@ -156,26 +168,26 @@ class CodingWriter:
                 request_id=request_id,
                 language=language,
             )
-        finally:
-            # 历史服务于下一次 write；即使本次没跨过价值门槛，也不能丢掉上下文。
-            try:
-                await self.store.append_trace(
-                    current_messages,
-                    request_id=request_id,
-                    user_id=user_id,
-                    agent_id=agent_id or "default_agent",
-                    session_id=session_id,
-                    workspace_id=workspace_id,
-                    branch=branch,
-                    source=source,
-                )
-            except Exception as e:
-                logger.warning(f"[coding-write] append trace failed: {e}")
+        except CodingWriteError as e:
+            return self._failure_response(request_id, t0, e)
+
+        trace_kwargs = dict(
+            request_id=request_id,
+            user_id=user_id,
+            agent_id=agent_id or "default_agent",
+            session_id=session_id,
+            workspace_id=workspace_id,
+            branch=branch,
+            source=source,
+        )
 
         if not drafts and not fact_drafts:
+            # 模型答了、只是没有值得记的：正常的空抽取，仍算成功。历史服务于下一次
+            # write；即使本次没跨过价值门槛，也不能丢掉上下文。
             logger.info(
                 f"[coding-write] no drafts produced (value bar); request_id={request_id}"
             )
+            await self._append_trace(current_messages, **trace_kwargs)
             return self._empty_response(request_id, t0)
 
         # extractor 只负责内容；调用来源由 SDK 入口注入，不能交给 LLM 生成。
@@ -183,34 +195,51 @@ class CodingWriter:
             draft.source = source
             draft.memory_at = memory_at
 
-        # 3. 经验层 reconcile + 持久化
-        ops: List[ReconcileOp] = (
-            await self.reconciler.reconcile(
-                drafts,
-                request_id=request_id,
-                user_id=user_id,
-                agent_id=agent_id,
-                session_id=session_id or "",
-                language=language,
-            )
-            if drafts else []
-        )
-
-        # 4. 事实层 reconcile + 持久化（独立链路，不受经验层结果影响）
+        # 3. 两层 reconcile 的模型决策（只检索 + 调 LLM，不落库）
+        # 4. 两层决策都成功后才落库：经验层 apply → 事实层 apply
+        #
+        # 先把所有模型决策做完再写库，任何一层的决策失败（LLM 失败 / 空回复 /
+        # 解析不出 → CodingWriteError(RECONCILE_FAILED)）都发生在落库之前，本次
+        # 写入一条经验 / 事实都没存、也没覆盖旧事实，换个 request_id 重跑即干净。
+        # 两层决策互不依赖（各自检索各自的候选），提前做不改变结果。
+        #
+        # 向量化失败抛 CodingWriteError(EMBEDDING_FAILED)：不落没有向量的节点，
+        # 整次写入报失败。
         facts: List[WorkingFact] = []
         fact_ops: List[FactReconcileOp] = []
-        if fact_drafts:
-            facts, fact_ops = await self.fact_reconciler.reconcile(
-                fact_drafts,
-                user_id=user_id,
-                agent_id=agent_id,
-                session_id=session_id,
-                workspace_id=workspace_id,
-                branch=branch,
-                source=source,
-                memory_at=memory_at,
-                language=language,
+        ops: List[ReconcileOp] = []
+        try:
+            experience_plan = (
+                await self.reconciler.plan(
+                    drafts,
+                    request_id=request_id,
+                    user_id=user_id,
+                    agent_id=agent_id,
+                    session_id=session_id or "",
+                    language=language,
+                )
+                if drafts else None
             )
+            fact_plan = (
+                await self.fact_reconciler.plan(
+                    fact_drafts,
+                    user_id=user_id,
+                    agent_id=agent_id,
+                    session_id=session_id,
+                    workspace_id=workspace_id,
+                    branch=branch,
+                    source=source,
+                    memory_at=memory_at,
+                    language=language,
+                )
+                if fact_drafts else None
+            )
+            if experience_plan is not None:
+                ops = await self.reconciler.apply(experience_plan)
+            if fact_plan is not None:
+                facts, fact_ops = await self.fact_reconciler.apply(fact_plan)
+        except CodingWriteError as e:
+            return self._failure_response(request_id, t0, e)
 
         experience_ids = [op.target_experience_id for op in ops
                           if op.action in ("ADD", "UPDATE") and op.target_experience_id]
@@ -218,6 +247,7 @@ class CodingWriter:
 
         # 5. 同批全互链
         await self._crosslink(experience_ids, facts, user_id=user_id)
+        await self._append_trace(current_messages, **trace_kwargs)
 
         add_cnt = sum(1 for op in ops if op.action == "ADD")
         update_cnt = sum(1 for op in ops if op.action == "UPDATE")
@@ -298,6 +328,41 @@ class CodingWriter:
                         f"[coding-write] crosslink fact {f.fact_id} failed: {e}"
                     )
 
+    async def _append_trace(self, current_messages: List[ChatMessage], **kwargs) -> None:
+        """把本次对话追加进 recent trace（下一次 write 的历史上下文），best-effort。"""
+        try:
+            await self.store.append_trace(current_messages, **kwargs)
+        except Exception as e:
+            logger.warning(f"[coding-write] append trace failed: {e}")
+
+    def _failure_response(
+        self, request_id: str, t0: float, error: CodingWriteError,
+    ) -> Dict[str, Any]:
+        """模型 / 向量化失败：success=False，稳定失败码在 agent_error_code。
+
+        形状与 chat 链路的失败回执一致（error_code=502，error_message 带
+        「[CODE] 」前缀），调用方据 success 判定并重跑。
+        """
+        code = error.error_code
+        cause = getattr(error, "cause", None)
+        message = f"{cause}: {error}" if cause else str(error)
+        logger.warning(
+            f"[coding-write] failed: code={code} request_id={request_id}: {message}"
+        )
+        resp = self._empty_response(request_id, t0)
+        resp.update({
+            "success": False,
+            "error_code": 502,
+            "error_message": f"[{code}] {message}",
+            "agent_status": "failed",
+            "agent_error_code": code,
+            "agent_error": message,
+        })
+        if cause:
+            # 与 chat 链路一致：reconcile 失败的具体原因
+            resp["reconcile_error_code"] = cause
+        return resp
+
     def _empty_response(self, request_id: str, t0: float) -> Dict[str, Any]:
         return {
             "success": True,

hy_memory/pipelines/writer.py

@@ -73,6 +73,19 @@ def _write_apply_verify_enabled() -> bool:
 _RECONCILE_LOOP_USER_LOCKS = weakref.WeakKeyDictionary()
 
 
+class ReconcileFailure(str):
+    """reconcile 失败时 `_reconcile_and_store` 返回的 error：仍是错误信息字符串，
+    另带稳定的失败码 `code`（LLM_UNAVAILABLE / EMPTY_RESPONSE / JSON_PARSE_FAILED /
+    RECONCILE_EXCEPTION），供 writer 透传给调用方。"""
+
+    code: str = "RECONCILE_FAILED"
+
+    def __new__(cls, message: str, code: str = "RECONCILE_FAILED"):
+        obj = super().__new__(cls, message)
+        obj.code = code
+        return obj
+
+
 def _reconcile_user_lock(user_id: str) -> asyncio.Lock:
     loop = asyncio.get_running_loop()
     locks = _RECONCILE_LOOP_USER_LOCKS.get(loop)
@@ -1262,15 +1275,6 @@ class MemoryWriter(WritePipeline):
             recon_tokens 含 prompt/completion/total（reconcile 链路 LLM 消耗）
         """
         stored_ids: List[str] = []
-        # Episode：本次写入归属的内部会话 id（跨 write 把"一件事"归到一起）。
-        # 只数 user 侧记忆（与 rolling summary 只数 pending_user_count 一致）——
-        # agent 侧记忆若参与计数会把 episode 提前撑到上限、切得过碎，白付摘要的 token。
-        episode_id = await self._resolve_episode_id(
-            request, _count_user_owned(new_memories_meta)
-        )
-        session_episode_id = self._session_episode_id(request)
-        if session_episode_id:
-            episode_id = session_episode_id
         # 关系图用：收集本次落库的 (node, op)，供 graph 投影建边。
         # 收 op 是为了拿 op.related（LLM 标注的 typed 关系）。
         graph_payload: List[Tuple[Any, Any]] = []
@@ -1297,7 +1301,32 @@ class MemoryWriter(WritePipeline):
         )
 
         if not recon_result.success:
-            return [], recon_result.error, {"add": 0, "supersede": 0, "update": 0, "total": 0}, {"prompt": 0, "completion": 0, "total": 0}
+            # reconcile 失败：本次一条新记忆都不落库（不做 ADD-all 兜底），由调用方重跑。
+            # episode 状态也还没推进，重跑不会把同一批记忆重复计数。
+            error = ReconcileFailure(
+                recon_result.error or "reconcile failed",
+                code=recon_result.error_code or "RECONCILE_FAILED",
+            )
+            logger.warning(
+                f"TRACE_PERF [{req_id}] S1_RECONCILE_FAILED "
+                f"code={error.code} candidates={len(new_memory_texts)} stored=0"
+            )
+            return [], error, {"add": 0, "supersede": 0, "update": 0, "total": 0}, {
+                "prompt": recon_result.prompt_tokens,
+                "completion": recon_result.completion_tokens,
+                "total": recon_result.total_tokens,
+            }
+
+        # Episode：本次写入归属的内部会话 id（跨 write 把"一件事"归到一起）。
+        # 只数 user 侧记忆（与 rolling summary 只数 pending_user_count 一致）——
+        # agent 侧记忆若参与计数会把 episode 提前撑到上限、切得过碎，白付摘要的 token。
+        # 放在 reconcile 成功之后：失败的写入不能推进 episode 计数。
+        episode_id = await self._resolve_episode_id(
+            request, _count_user_owned(new_memories_meta)
+        )
+        session_episode_id = self._session_episode_id(request)
+        if session_episode_id:
+            episode_id = session_episode_id
 
         # 分类统计
         _op_counts = {}
@@ -1308,16 +1337,7 @@ class MemoryWriter(WritePipeline):
         logger.info(
             f"TRACE_PERF [{req_id}] S1_RECONCILE_DONE "
             f"ops={len(recon_result.ops)} candidates={len(new_memory_texts)} | {_op_counts_str}"
-            + (f" | DEGRADED({recon_result.degraded_reason})"
-               if getattr(recon_result, "degraded", False) else "")
         )
-        if getattr(recon_result, "degraded", False):
-            # 走了 ADD-all 兜底：内容保住了，但没做去重/演化判定。必须可观测，
-            # 否则线上只会看到"记忆变多了"而不知道为什么。
-            logger.warning(
-                f"[write] reconcile degraded → ADD-all "
-                f"({recon_result.degraded_reason}), {len(recon_result.ops)} memories stored as-is"
-            )
         # 逐条 op 详情由 reconciler 的 "[reconciler] ops detail" 单条 JSON list 输出，
         # 这里不再逐条打印（避免重复刷屏）。
 
@@ -2507,12 +2527,10 @@ class MemoryWriter(WritePipeline):
             response.extra["extract_tokens"] = {"prompt": 0, "completion": 0, "total": 0}
 
             if recon_error is not None:
-                response.success = False
-                response.error_code = 502
-                response.error_message = f"[RECONCILE_FAILED] {recon_error}"
-                response.extra["agent_status"] = "failed"
-                response.extra["agent_error"] = recon_error
-                response.extra["agent_nodes"] = 0
+                # 与 write() 一致：reconcile 失败不落任何记忆，报失败供调用方重跑。
+                self._mark_reconcile_failure(response, recon_error)
+                response.extra["agent_mode"] = "extracted"
+                logger.warning(f"[write_extracted] reconcile failed: {recon_error}")
                 return response
 
             response.success = True
@@ -3531,12 +3549,11 @@ class MemoryWriter(WritePipeline):
                 response.extra["reconcile_ops"] = ops_counts
                 response.extra["reconcile_tokens"] = recon_tokens
                 if recon_error is not None:
+                    # stored_ids 为空：reconcile 失败时一条新记忆都不落库，write()
+                    # 随后回滚 L1_RAW（retry_safe=True），换个 request_id 重跑即可。
                     response.extra["agent_stored_ids"] = stored_ids
-                    self._mark_agent_failure(
-                        response,
-                        error_code="RECONCILE_FAILED",
-                        error_message=recon_error,
-                        agent_nodes=len(stored_ids),
+                    self._mark_reconcile_failure(
+                        response, recon_error, agent_nodes=len(stored_ids),
                     )
                     logger.warning(f"[write] reconcile failed: {recon_error}")
                     return
@@ -3659,6 +3676,29 @@ class MemoryWriter(WritePipeline):
         response.error_code = 502
         response.error_message = f"[{code}] {message}"
 
+    @classmethod
+    def _mark_reconcile_failure(
+        cls,
+        response: WriteResponse,
+        recon_error: str,
+        *,
+        agent_nodes: int = 0,
+    ) -> None:
+        """reconcile 失败：agent_error_code 恒为 RECONCILE_FAILED，具体原因
+        （LLM_UNAVAILABLE / EMPTY_RESPONSE / JSON_PARSE_FAILED / RECONCILE_EXCEPTION）
+        放在 reconcile_error_code。"""
+        reason = getattr(recon_error, "code", "") or "RECONCILE_FAILED"
+        response.extra["reconcile_error_code"] = reason
+        cls._mark_agent_failure(
+            response,
+            error_code="RECONCILE_FAILED",
+            error_message=(
+                f"{reason}: {recon_error}"
+                if reason != "RECONCILE_FAILED" else str(recon_error)
+            ),
+            agent_nodes=agent_nodes,
+        )
+
     async def _handle_agent_failure(self, request, response, agent_result, tracer_span, extract_timing: Optional[Dict[str, Any]] = None) -> None:
         """处理 agent extract 失败的情况。"""
         if agent_result is None:

memhub/README.md

@@ -18,8 +18,8 @@ If you run into a problem, please open an Issue with the version, platform,repro
 
 ## 发行与平台合同
 
-源码当前固定使用公开 PyPI 正式版 `hy-memory==2.0.12`。MemHub 源码版本为 `1.0.6`
-（build 37），GitHub 仓库为
+源码当前固定使用公开 PyPI 正式版 `hy-memory==2.0.13`。MemHub 源码版本为 `1.0.6`
+（build 40），GitHub 仓库为
 [`Tencent-Hunyuan/Hy-Memory`](https://github.com/Tencent-Hunyuan/Hy-Memory)，npm 包名为
 `memhub-cli`。当前代码架构见
 [`docs/ARCHITECTURE.md`](docs/ARCHITECTURE.md)。
@@ -118,7 +118,7 @@ MemHub 的 SQLite 数据默认位于 `~/.one-memory`，不在 npm 包或 Runtime
 
 ## Hy Memory
 
-SDK 依赖固定为公开 PyPI 正式版 `hy-memory==2.0.12`。SDK 配置、权限边界及 search
+SDK 依赖固定为公开 PyPI 正式版 `hy-memory==2.0.13`。SDK 配置、权限边界及 search
 返回格式见 [`MEMORY.md`](MEMORY.md)。HY search 返回的 `content` 已包含 SDK 统一生成的
 逻辑时间和演化上下文；调用方不应再次转换时间戳或重复拼接 `When`。
 

memhub/SBOM.spdx.json

@@ -2352,7 +2352,7 @@
     {
       "SPDXID": "SPDXRef-Package-hy-memory",
       "name": "hy-memory",
-      "versionInfo": "2.0.12",
+      "versionInfo": "2.0.13",
       "downloadLocation": "NOASSERTION",
       "filesAnalyzed": false,
       "licenseConcluded": "Apache-2.0",

memhub/THIRD_PARTY_NOTICES.md

@@ -9,7 +9,7 @@ Per-package license texts are not reproduced here yet; the license
 column is filled in as part of release review, and the SBOM records
 `NOASSERTION` until then rather than guessing.
 
-## hy-memory 2.0.12
+## hy-memory 2.0.13
 
 License: Apache-2.0
 

memhub/apps/cli/src/core-client.ts

@@ -17,11 +17,14 @@ const READ_ONLY_PATHS = [
   "/api/v1/model-profiles",
   "/api/v1/source-grants",
   "/api/v1/sources",
+  "/api/v2/home-projection",
   "/api/v2/home-summary",
+  "/api/v2/raw",
   "/api/v2/memory-library",
   "/api/v2/user-profile",
   "/api/v2/user-profile/versions",
   "/api/v1/settings/memory-mode",
+  "/api/v1/settings/memory-mode/plan",
   "/api/v1/settings/memory-features",
   "/api/v1/settings/ui-language",
   "/api/v2/evolve",

memhub/apps/cli/src/core-responses.ts

@@ -1,4 +1,5 @@
 import type {
+  HomeProjectionV1,
   ImportIssue,
   ImportJob,
   LiveSyncHealth,
@@ -26,6 +27,9 @@ export const MEMORY_STATUSES = [
 const ID_MAX = 128;
 const LABEL_MAX = 256;
 const LIST_MAX = 500;
+const USER_ID = /^[A-Za-z0-9._-]{1,64}$/;
+const ISO_TIME =
+  /^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(?:\.\d+)?(?:Z|[+-]\d{2}:\d{2})$/;
 const LIVE_SYNC_STATES = [
   "idle",
   "running",
@@ -406,6 +410,153 @@ export function validateHomeSummary(value: unknown): SdkHomeSummary | null {
   return summary as unknown as SdkHomeSummary;
 }
 
+/** `GET /api/v2/home-projection`: the mode-aware home content plane. */
+export function validateHomeProjection(
+  value: unknown,
+): HomeProjectionV1 | null {
+  const projection = exactRecord(value, [
+    "projection_version",
+    "user_id",
+    "effective_mode",
+    "capabilities",
+    "visible_count",
+    "display_state",
+    "latest",
+    "observed_at",
+  ]);
+  if (!projection) return null;
+  const mode = projection.effective_mode;
+  const capabilities = exactRecord(projection.capabilities, [
+    "content_plane",
+    "generation_required",
+    "graph_enabled",
+    "evolve_available",
+  ]);
+  if (
+    projection.projection_version !== 1 ||
+    typeof projection.user_id !== "string" ||
+    !USER_ID.test(projection.user_id) ||
+    !oneOf(mode, ["lite", "pro", "ultra"] as const) ||
+    !capabilities ||
+    capabilities.content_plane !== (mode === "lite" ? "raw" : "memory") ||
+    capabilities.generation_required !== (mode !== "lite") ||
+    capabilities.graph_enabled !== (mode === "ultra") ||
+    capabilities.evolve_available !== (mode === "ultra") ||
+    count(projection.visible_count) === null ||
+    !oneOf(projection.display_state, [
+      "empty",
+      "excerpt",
+      "no_user_excerpt",
+      "no_displayable_memory",
+    ] as const) ||
+    !isoTime(projection.observed_at) ||
+    !validProjectionLatest(projection.latest, mode)
+  ) {
+    return null;
+  }
+  const visible = projection.visible_count as number;
+  const latest = projection.latest as Record<string, unknown> | null;
+  if (
+    (visible === 0 &&
+      (latest !== null || projection.display_state !== "empty")) ||
+    (visible > 0 && projection.display_state === "empty") ||
+    (latest === null &&
+      ["excerpt", "no_user_excerpt"].includes(
+        projection.display_state as string,
+      )) ||
+    (latest?.type === "raw" &&
+      projection.display_state !== latest.display_state) ||
+    (latest?.type === "memory" && projection.display_state !== "excerpt")
+  ) {
+    return null;
+  }
+  return projection as unknown as HomeProjectionV1;
+}
+
+function validProjectionLatest(
+  value: unknown,
+  mode: "lite" | "pro" | "ultra",
+): boolean {
+  if (value === null) return true;
+  const base = [
+    "type",
+    "time",
+    "time_basis",
+    "excerpt",
+    "truncated",
+    "source_id",
+  ];
+  const candidate = record(value);
+  if (!candidate) return false;
+  const keys =
+    candidate.type === "raw"
+      ? [...base, "raw_id", "session_id", "display_state"]
+      : [...base, "memory_id", "scene", "kind", "variant"];
+  const latest = exactRecord(value, keys);
+  if (
+    !latest ||
+    !(latest.time === null || isoTime(latest.time)) ||
+    ![null, "conversation", "import", "write", "update"].includes(
+      latest.time_basis as null | string,
+    ) ||
+    text(latest.excerpt, 200) === null ||
+    typeof latest.truncated !== "boolean" ||
+    text(latest.source_id, ID_MAX) === null
+  ) {
+    return false;
+  }
+  if (latest.type === "raw") {
+    return (
+      mode === "lite" &&
+      nonemptyText(latest.raw_id, ID_MAX) &&
+      nonemptyText(latest.session_id, LABEL_MAX) &&
+      oneOf(latest.display_state, ["excerpt", "no_user_excerpt"] as const) &&
+      (latest.display_state !== "no_user_excerpt" ||
+        (latest.excerpt === "" && latest.truncated === false))
+    );
+  }
+  return (
+    latest.type === "memory" &&
+    mode !== "lite" &&
+    nonemptyText(latest.memory_id, ID_MAX) &&
+    oneOf(latest.scene, ["chat", "working", "coding"] as const) &&
+    oneOf(latest.kind, ["chat", "experience"] as const) &&
+    [null, "working", "coding"].includes(latest.variant as null | string) &&
+    ((latest.kind === "chat" &&
+      latest.scene === "chat" &&
+      latest.variant === null) ||
+      (latest.kind === "experience" &&
+        latest.scene === latest.variant &&
+        oneOf(latest.scene, ["working", "coding"] as const)))
+  );
+}
+
+/** The bounded `/api/v2/raw?limit=1` envelope used only for its real total. */
+export function validateRawTotal(value: unknown): number | null {
+  const page = exactRecord(value, [
+    "user_id",
+    "items",
+    "total",
+    "offset",
+    "limit",
+    "time_filtered",
+  ]);
+  if (
+    !page ||
+    typeof page.user_id !== "string" ||
+    !USER_ID.test(page.user_id) ||
+    !Array.isArray(page.items) ||
+    page.items.length > 1 ||
+    count(page.total) === null ||
+    page.offset !== 0 ||
+    page.limit !== 1 ||
+    page.time_filtered !== false
+  ) {
+    return null;
+  }
+  return page.total as number;
+}
+
 function identifiers(value: unknown): string[] | null {
   return list(value ?? [], (item) => text(item, ID_MAX));
 }
@@ -430,6 +581,30 @@ function record(value: unknown): Record<string, unknown> | null {
     : null;
 }
 
+function exactRecord(
+  value: unknown,
+  keys: readonly string[],
+): Record<string, unknown> | null {
+  const item = record(value);
+  return item &&
+    Object.keys(item).length === keys.length &&
+    keys.every((key) => Object.hasOwn(item, key))
+    ? item
+    : null;
+}
+
+function isoTime(value: unknown): value is string {
+  return (
+    typeof value === "string" &&
+    ISO_TIME.test(value) &&
+    Number.isFinite(Date.parse(value))
+  );
+}
+
+function nonemptyText(value: unknown, max: number): value is string {
+  return typeof value === "string" && value.length > 0 && value.length <= max;
+}
+
 function text(value: unknown, max: number): string | null {
   return typeof value === "string" && value.length <= max ? value : null;
 }

memhub/apps/cli/src/embedding-switch-cli.test.ts

@@ -250,6 +250,20 @@ describe("models activate with an embedding change", () => {
       code: "embedding_switch_required",
     });
   });
+
+  it("does not treat a domain 404 as an old-Core route miss", async () => {
+    transport.post.mockResolvedValue({
+      status: 404,
+      data: { detail: "embedding_switch_not_found" },
+    });
+    const result = await capturedRun(["models", "activate", PROFILE, "--json"]);
+    expect(result.code).toBe(1);
+    expect(
+      transport.post.mock.calls.some(([url]) =>
+        String(url).endsWith("/activate"),
+      ),
+    ).toBe(false);
+  });
 });
 
 describe("models switch and spaces", () => {

memhub/apps/cli/src/embedding-switch-flow.ts

@@ -9,6 +9,7 @@
  * makes it live. The CLI shows the plan, asks, starts the job and follows it.
  */
 
+import { isBareNotFound } from "@one-memory/operations";
 import type { CoreReader } from "./core-client.js";
 import type {
   CoreDeleteOperations,
@@ -387,7 +388,11 @@ async function requestPlan(
   }
   if (outcome.state === "rejected") {
     // A Core before the registry has no plan route: activation as before.
-    if (outcome.http_status === 404 && outcome.code === "http_404") {
+    if (
+      outcome.http_status === 404 &&
+      outcome.code === "http_404" &&
+      isBareNotFound(outcome.body)
+    ) {
       return { state: "unsupported" };
     }
     const plan = parsePlan(record(outcome.body)?.plan);

memhub/apps/cli/src/read-only-queries.test.ts

@@ -161,6 +161,7 @@ const CORE = new Map<string, { status: number; data: unknown }>([
         blocked_stages: [
           { kind: "extract", reason: "model_missing", count: 2 },
         ],
+        pipeline: { mode: "pro", configured_mode: "pro" },
       },
     },
   ],
@@ -202,7 +203,9 @@ const READ_ONLY_PATHS = [
   "/api/v1/live-sync",
   "/api/v1/memory-processing",
   "/api/v1/model-profiles",
+  "/api/v2/home-projection",
   "/api/v2/home-summary",
+  "/api/v2/raw",
   "/api/v2/memory-library",
   "/api/v2/memories/",
   "/api/v2/user-profile",
@@ -257,6 +260,9 @@ describe("CLI-20 status summary", () => {
     expect(report.sections.model).toMatchObject({ state: "ok", profiles: 1 });
     expect(report.sections.memories).toMatchObject({
       state: "ok",
+      content_plane: "memory",
+      visible_count: 42,
+      effective_mode: "pro",
       memory_count: 42,
     });
     expect(report.summary.state).toBe("ok");
@@ -903,7 +909,10 @@ describe("CLI-21 memory reads", () => {
     expect(isReadOnlyPath("/api/v2/memories/ask")).toBe(false);
     expect(isReadOnlyPath("/api/v2/memories/m1")).toBe(true);
     expect(isReadOnlyPath("/api/v2/memory-library")).toBe(true);
+    expect(isReadOnlyPath("/api/v2/home-projection")).toBe(true);
     expect(isReadOnlyPath("/api/v2/home-summary")).toBe(true);
+    expect(isReadOnlyPath("/api/v2/raw")).toBe(true);
+    expect(isReadOnlyPath("/api/v1/settings/memory-mode/plan")).toBe(true);
     // The retired v1 data plane is no longer a CLI read.
     expect(isReadOnlyPath("/api/v1/memories/m1")).toBe(false);
     expect(isReadOnlyPath("/api/v1/home-summary")).toBe(false);
@@ -1085,7 +1094,8 @@ describe("malformed success responses", () => {
 
   it("refuses a model profile whose string fields are not strings", async () => {
     transport.get.mockImplementation(async (url: string) => {
-      if (url !== "/api/v1/model-profiles") return CORE.get(url);
+      if (url !== "/api/v1/model-profiles")
+        return CORE.get(url) ?? { status: 404, data: { detail: "not_found" } };
       return {
         status: 200,
         data: [

memhub/apps/cli/src/status-report.test.ts

@@ -147,3 +147,140 @@ describe("status and doctor on an unfinished upgrade migration", () => {
     expect(report.runtime.log_file).toBeUndefined();
   });
 });
+
+describe("mode-aware status content projection", () => {
+  const runtime = {
+    state: "running" as const,
+    code: "runtime_verified",
+    host: "127.0.0.1",
+    port: 30001,
+  };
+  const processing = (mode: "lite" | "pro" | "ultra") => ({
+    pending: 0,
+    fresh_pending: 0,
+    backlog_pending: 0,
+    outside_window_pending: 0,
+    running: 0,
+    waiting_for_model: 0,
+    completed: 0,
+    failed: 0,
+    pipeline: { mode, configured_mode: mode },
+  });
+  const projection = {
+    projection_version: 1,
+    user_id: "local",
+    effective_mode: "lite",
+    capabilities: {
+      content_plane: "raw",
+      generation_required: false,
+      graph_enabled: false,
+      evolve_available: false,
+    },
+    visible_count: 7,
+    display_state: "excerpt",
+    latest: {
+      type: "raw",
+      raw_id: "raw-1",
+      session_id: "session-1",
+      display_state: "excerpt",
+      time: null,
+      time_basis: null,
+      excerpt: "hello",
+      truncated: false,
+      source_id: "cursor",
+    },
+    observed_at: "2026-11-04T00:00:00Z",
+  };
+
+  it("uses the projection without reading either legacy count endpoint", async () => {
+    const calls: string[] = [];
+    const reader: CoreReader = async <T>(path: string) => {
+      calls.push(path);
+      const data =
+        path === "/api/v2/home-projection"
+          ? projection
+          : path === "/api/v1/memory-processing"
+            ? processing("lite")
+            : null;
+      return { state: "ok", data } as ReadOutcome<T>;
+    };
+    const report = await composeStatusReport({
+      dataDir: "/tmp/isolated",
+      runtime,
+      background: null,
+      reader,
+    });
+    expect(report.sections.memories).toEqual({
+      state: "ok",
+      content_plane: "raw",
+      visible_count: 7,
+      effective_mode: "lite",
+      raw_count: 7,
+    });
+    expect(calls).not.toContain("/api/v2/raw");
+    expect(calls).not.toContain("/api/v2/home-summary");
+    expect(renderStatusText(report, "MemHub")).toContain(
+      "原始对话：原始对话 7",
+    );
+  });
+
+  it("falls back to the real raw total only for an old Lite Core", async () => {
+    const reader: CoreReader = async <T>(path: string) => {
+      if (path === "/api/v2/home-projection")
+        return { state: "not_found", code: "http_404" } as ReadOutcome<T>;
+      if (path === "/api/v1/memory-processing")
+        return {
+          state: "ok",
+          data: processing("lite"),
+        } as ReadOutcome<T>;
+      if (path === "/api/v2/raw")
+        return {
+          state: "ok",
+          data: {
+            user_id: "local",
+            items: [],
+            total: 9,
+            offset: 0,
+            limit: 1,
+            time_filtered: false,
+          },
+        } as ReadOutcome<T>;
+      return { state: "unavailable", code: "x" } as ReadOutcome<T>;
+    };
+    const report = await composeStatusReport({
+      dataDir: "/tmp/isolated",
+      runtime,
+      background: null,
+      reader,
+    });
+    expect(report.sections.memories).toMatchObject({
+      state: "ok",
+      content_plane: "raw",
+      visible_count: 9,
+      raw_count: 9,
+    });
+    expect(report.sections.memories).not.toHaveProperty("memory_count");
+  });
+
+  it("rejects extra projection fields instead of falling back or leaking them", async () => {
+    const reader: CoreReader = async <T>(path: string) =>
+      ({
+        state: "ok",
+        data:
+          path === "/api/v2/home-projection"
+            ? { ...projection, secret: "must-not-leak" }
+            : processing("lite"),
+      }) as ReadOutcome<T>;
+    const report = await composeStatusReport({
+      dataDir: "/tmp/isolated",
+      runtime,
+      background: null,
+      reader,
+    });
+    expect(report.sections.memories).toEqual({
+      state: "invalid",
+      code: "response_invalid",
+    });
+    expect(JSON.stringify(report)).not.toContain("must-not-leak");
+  });
+});

memhub/apps/cli/src/status-report.ts

@@ -1,4 +1,5 @@
 import type {
+  HomeProjectionV1,
   LiveSyncHealth,
   MemoryProcessingSummary,
   ModelProfile,
@@ -12,10 +13,12 @@ import { sdkMigrationLogPath } from "@one-memory/runtime-control";
 import type { CoreReader, ReadOutcome } from "./core-client.js";
 import {
   type SdkHomeSummary,
+  validateHomeProjection,
   validateHomeSummary,
   validateLiveSync,
   validateModelProfiles,
   validateProcessing,
+  validateRawTotal,
   validateSources,
 } from "./core-responses.js";
 import { describeEmbeddingSwitchSummary } from "./embedding-switch-flow.js";
@@ -211,12 +214,12 @@ export async function composeStatusReport(options: {
     for (const name of SECTION_NAMES) sections[name] = { state, code };
   } else {
     const reader = options.reader;
-    const [sources, sync, processing, model, memories] = await Promise.all([
+    const [sources, sync, processing, model, projection] = await Promise.all([
       reader<unknown>("/api/v1/sources"),
       reader<unknown>("/api/v1/live-sync"),
       reader<unknown>("/api/v1/memory-processing"),
       reader<unknown>("/api/v1/model-profiles"),
-      reader<unknown>("/api/v2/home-summary"),
+      reader<unknown>("/api/v2/home-projection"),
     ]);
     sections.sources = section(sources, validateSources, describeSources);
     sections.sync = section(sync, validateLiveSync, describeSync);
@@ -228,11 +231,7 @@ export async function composeStatusReport(options: {
     pipeline =
       processing.state === "ok" ? describePipeline(processing.data) : null;
     sections.model = section(model, validateModelProfiles, describeModel);
-    sections.memories = section(
-      memories,
-      validateHomeSummary,
-      describeMemories,
-    );
+    sections.memories = await memorySection(reader, projection, pipeline);
   }
   // A bridge we could not inspect is unknown, not broken and not fine.
   const bridge: StatusDocument["bridge"] =
@@ -312,7 +311,9 @@ export function renderStatusText(
   ];
   for (const name of SECTION_NAMES) {
     lines.push(
-      `${SECTION_LABELS[name]}：${sectionLine(report.sections[name])}`,
+      `${sectionLabel(name, report.sections[name])}：${sectionLine(
+        report.sections[name],
+      )}`,
     );
   }
   if (report.pipeline) lines.push(`记忆模式：${pipelineLine(report.pipeline)}`);
@@ -409,8 +410,17 @@ const SECTION_LINE_OMITTED = new Set([
   "embedding_switch",
   "llm_backoff_until",
   "llm_backoff_error",
+  "content_plane",
+  "visible_count",
+  "effective_mode",
 ]);
 
+function sectionLabel(name: string, section: Section | undefined): string {
+  return name === "memories" && section?.content_plane === "raw"
+    ? "原始对话"
+    : SECTION_LABELS[name];
+}
+
 function sectionLine(section: Section | undefined): string {
   if (!section) return "未检查";
   if (section.state === "not_checked") return "未检查";
@@ -462,6 +472,10 @@ function fieldLabel(key: string): string {
     profiles: "配置",
     active: "当前",
     memory_count: "记忆",
+    raw_count: "原始对话",
+    visible_count: "可见",
+    content_plane: "内容层",
+    effective_mode: "模式",
   };
   return labels[key] ?? key;
 }
@@ -595,6 +609,70 @@ function describeMemories(summary: SdkHomeSummary): Record<string, unknown> {
   };
 }
 
+async function memorySection(
+  reader: CoreReader,
+  projection: ReadOutcome<unknown>,
+  pipeline: PipelineSummary | null,
+): Promise<Section> {
+  if (projection.state === "ok") {
+    const parsed = validateHomeProjection(projection.data);
+    return parsed === null
+      ? { state: "invalid", code: "response_invalid" }
+      : { state: "ok", ...describeProjection(parsed) };
+  }
+  if (projection.state !== "not_found") {
+    return {
+      state: projection.state === "denied" ? "denied" : "unavailable",
+      code: projection.code,
+    };
+  }
+  if (pipeline === null) {
+    return { state: "unavailable", code: "effective_mode_unavailable" };
+  }
+  if (pipeline.mode === "lite") {
+    const raw = await reader<unknown>("/api/v2/raw", {
+      limit: 1,
+      offset: 0,
+    });
+    if (raw.state !== "ok") {
+      return {
+        state: raw.state === "denied" ? "denied" : "unavailable",
+        code: raw.code,
+      };
+    }
+    const total = validateRawTotal(raw.data);
+    return total === null
+      ? { state: "invalid", code: "response_invalid" }
+      : {
+          state: "ok",
+          content_plane: "raw",
+          visible_count: total,
+          effective_mode: "lite",
+          raw_count: total,
+        };
+  }
+  const legacy = await reader<unknown>("/api/v2/home-summary");
+  return section(legacy, validateHomeSummary, (summary) => ({
+    content_plane: "memory",
+    visible_count: summary.memory_count,
+    effective_mode: pipeline.mode,
+    ...describeMemories(summary),
+  }));
+}
+
+function describeProjection(
+  projection: HomeProjectionV1,
+): Record<string, unknown> {
+  return {
+    content_plane: projection.capabilities.content_plane,
+    visible_count: projection.visible_count,
+    effective_mode: projection.effective_mode,
+    ...(projection.capabilities.content_plane === "raw"
+      ? { raw_count: projection.visible_count }
+      : { memory_count: projection.visible_count }),
+  };
+}
+
 function sum(
   sources: SourceResponse[],
   key: "imported_conversations" | "imported_messages",

memhub/apps/core/pyproject.toml

@@ -12,7 +12,7 @@ dependencies = [
     "fastapi>=0.141.1",
     "filelock>=3.32.4",
     # Public SDK version validated against MemHub's permission and recall contracts.
-    "hy-memory==2.0.12",
+    "hy-memory==2.0.13",
     # chromadb arrives through the HY SDK; locked here so an unrelated upgrade
     # cannot move the SDK's store. Built-in embedding consumes numpy directly.
     "chromadb==1.5.9",

memhub/apps/core/src/one_memory/api.py

@@ -264,7 +264,13 @@ from one_memory.model_request_audit import (
     ModelRequestAuditStore,
 )
 from one_memory.model_request_budget import BudgetedModelTransport, ModelRequestBudget
-from one_memory.onboarding import OnboardingState, OnboardingStore
+from one_memory.onboarding import (
+    OnboardingCompletedError,
+    OnboardingProgressUpdate,
+    OnboardingState,
+    OnboardingStore,
+)
+from one_memory.raw_turns import RawDisplayTurn, raw_display_turns
 from one_memory.recall import (
     GovernedRecallTarget,
     RecallReceipt,
@@ -323,6 +329,13 @@ from one_memory.ui_language import (
     UiLanguage,
     sdk_language,
 )
+from one_memory.ui_projection import (
+    HomeProjectionCapabilities,
+    HomeProjectionV1,
+    home_capabilities,
+    raw_list_filters,
+    read_home_projection,
+)
 from one_memory.user_scope import (
     DEFAULT_USER_ID,
     MULTI_USER_SOURCES,
@@ -592,24 +605,37 @@ class SdkRawItem(HySdkRawRecord):
     role: str | None = None
     content_hash: str
     created: datetime | None = None
+    turn_id: str | None = Field(default=None, min_length=1, max_length=96)
+    turn_index: int | None = Field(default=None, ge=0)
+    turn_count: int | None = Field(default=None, ge=1)
 
     @classmethod
-    def of(cls, record: HySdkRawRecord) -> "SdkRawItem":
+    def of(
+        cls, record: HySdkRawRecord, turn: RawDisplayTurn | None = None
+    ) -> "SdkRawItem":
+        content = turn.content if turn is not None else record.content
+        raw_messages = (
+            turn.messages if turn is not None else raw_turn_messages(record.content)
+        )
         messages = tuple(
             SdkRawMessage(role=role, content=text)
-            for role, text in raw_turn_messages(record.content)
+            for role, text in raw_messages
         )
         roles = {message.role for message in messages}
         return cls(
-            **record.model_dump(),
+            **record.model_dump(exclude={"content"}),
+            content=content,
             messages=messages,
             role=next(iter(roles)) if len(roles) == 1 and "" not in roles else None,
-            content_hash="sha256:" + hashlib.sha256(record.content.encode("utf-8")).hexdigest(),
+            content_hash="sha256:" + hashlib.sha256(content.encode("utf-8")).hexdigest(),
             created=(
                 datetime.fromtimestamp(record.gmt_created, tz=UTC)
                 if record.gmt_created is not None
                 else None
             ),
+            turn_id=turn.turn_id if turn is not None else None,
+            turn_index=turn.turn_index if turn is not None else None,
+            turn_count=turn.turn_count if turn is not None else None,
         )
 
 
@@ -622,9 +648,9 @@ class SdkRawPage(BaseModel):
     total: int = Field(ge=0)
     offset: int = Field(ge=0)
     limit: int = Field(ge=1, le=500)
-    #: Set when a time filter was applied to this page in Core (the SDK list
-    #: has none): `items` is the page's rows inside the range, `total` stays
-    #: the SDK's count before that filter.
+    unit: Literal["raw", "turn"] = "raw"
+    #: Set when a time filter was applied in Core. For storage `raw`, `total`
+    #: remains the SDK count; for product `turn`, it is the filtered turn count.
     time_filtered: bool = False
 
 
@@ -640,11 +666,6 @@ class SdkLayerCounts(BaseModel):
     statuses: tuple[str, ...] | None = None
 
 
-#: Raw lifecycle states that are still a kept conversation. Pro marks a raw
-#: SHADOW once extraction succeeds; lite leaves it ACTIVE.
-RAW_STATUSES = ("active", "shadow")
-
-
 class MemoryProcessingBlock(BaseModel):
     kind: str
     reason: str
@@ -740,6 +761,8 @@ class MemoryModeState(BaseModel):
     mode: MemoryMode
     #: The saved setting (default pro).
     configured_mode: MemoryMode
+    #: True once a person chose a mode, including explicitly choosing pro.
+    explicitly_configured: bool
     #: `ONE_MEMORY_GRAPH_STORE` (dev) forces ultra over the setting.
     forced_by_env: bool
     modes: tuple[MemoryMode, ...] = MEMORY_MODES
@@ -769,6 +792,29 @@ class MemoryModeChange(MemoryModeState):
     effects: tuple[MemoryModeEffect, ...] = ()
 
 
+MemoryModeBlocker = Literal[
+    "active_model_required",
+    "embedding_maintenance_in_progress",
+    "memory_lifecycle_busy",
+    "graph_store_unavailable",
+]
+MemoryModeWarning = Literal["forced_by_env", "effective_no_change"]
+
+
+class MemoryModePlan(BaseModel):
+    """Shared validation result used by plan and PUT."""
+
+    model_config = ConfigDict(extra="forbid")
+
+    current: MemoryMode
+    target: MemoryMode
+    effective_target: MemoryMode
+    capabilities: HomeProjectionCapabilities
+    effects: tuple[MemoryModeEffect, ...] = ()
+    warnings: tuple[MemoryModeWarning, ...] = ()
+    blockers: tuple[MemoryModeBlocker, ...] = ()
+
+
 class EvolveScheduleUpdate(BaseModel):
     model_config = ConfigDict(extra="forbid")
 
@@ -1440,10 +1486,15 @@ def create_app(
                 service=app.state.evolve_service,
                 schedule=lambda: _config_store(app).evolve_schedule(),
                 users_with_memories=lambda: _users_with_memories(app),
+                lifecycle_lock=app.state.memory_mode_lock,
+                lifecycle_open=lambda: (
+                    _embedding_writes_open(app) and not app.state.memory_graph_backfill.running
+                ),
             )
             app.state.memory_graph_backfill = MemoryGraphBackfill(
                 coordinator=app.state.sdk_write_coordinator,
                 state=app.state.evolve_state_store,
+                lifecycle_open=lambda: _embedding_writes_open(app),
             )
             # C2 owns the single production budget (handle 5s + reserve 250ms,
             # total 5.25s, lease 10s, renew 1s, claim 250ms). The composition
@@ -1465,22 +1516,15 @@ def create_app(
 
             async def admit_hy_invocation(
                 source_id: str,
+                requires_generation: bool,
                 mark_invoked: Callable[[], Awaitable[bool]],
             ) -> bool:
-                """Serialize pause with the last boundary before an HY call."""
-                source_lock = app.state.source_permission_locks.setdefault(
-                    source_id, asyncio.Lock()
+                return await _admit_pipeline_invocation(
+                    app,
+                    source_id,
+                    requires_generation,
+                    mark_invoked,
                 )
-                async with app.state.sedimentation_lock, source_lock:
-                    if not _config_store(app).sedimentation_enabled():
-                        raise RuntimeError("model_sedimentation_disabled")
-                    if not _embedding_writes_open(app):
-                        # Re-checked at the last boundary: a switch that began
-                        # after the claim keeps this job queued, unsent.
-                        raise RuntimeError("embedding_switch_in_progress")
-                    if not _source_writes_on(app, source_id):
-                        raise RuntimeError("model_content_source_disabled")
-                    return await mark_invoked()
 
             memory_write_drain = DurableWriteDrain(
                 memory_write_queue,
@@ -1529,7 +1573,7 @@ def create_app(
                 # therefore skipped on every drain tick — the note stayed
                 # "saved, waiting" with no task behind it, forever.
                 source_claim_enabled=lambda source_id: _sedimentation_claim_enabled(app, source_id),
-                model_claim_allowance=app.state.model_backoff.allowance,
+                model_claim_allowance=lambda: _model_claim_allowance(app),
             )
             app.state.memory_write_drain = memory_write_drain
 
@@ -1842,6 +1886,16 @@ def create_app(
                         name="one-memory-durable-write-drain",
                     )
 
+                async def resume_graph_backfill() -> None:
+                    saved = app.state.evolve_state_store.graph_build()
+                    if saved.state != "running":
+                        return
+                    if _memory_mode(app) != "ultra":
+                        app.state.evolve_state_store.set_graph_build(GraphBuildState())
+                        return
+                    users = await asyncio.to_thread(_known_user_ids, app)
+                    app.state.memory_graph_backfill.recover(users)
+
                 async def start_evolve_schedule() -> None:
                     # Idle outside ultra: each tick asks the mode first.
                     app.state.evolve_scheduler.start()
@@ -1930,7 +1984,14 @@ def create_app(
                     # served from the live space throughout.
                     if sdk:
                         await step("embedding_spaces", resume_embedding_spaces)
+                        await step("graph_backfill", resume_graph_backfill)
                     await step("write_drain", start_write_drain)
+                    if sdk and _memory_mode(app) == "lite":
+                        # A previous pro run may have parked jobs while model
+                        # sedimentation was off. Lite needs no generation model:
+                        # readmit them in the background so startup can finish
+                        # while raw conversations begin appearing.
+                        _resume_sedimentation(app)
                     if sdk:
                         await step("evolve_schedule", start_evolve_schedule)
                     else:
@@ -2484,6 +2545,21 @@ def create_app(
     def get_onboarding() -> OnboardingState:
         return _onboarding_store(app).get()
 
+    @app.api_route(
+        "/api/v1/onboarding/progress",
+        methods=["PATCH", "PUT"],
+        response_model=OnboardingState,
+        dependencies=protected,
+    )
+    async def update_onboarding_progress(
+        update: OnboardingProgressUpdate,
+    ) -> OnboardingState:
+        """Persist only resumable onboarding choices; secrets are never accepted."""
+        try:
+            return await asyncio.to_thread(_onboarding_store(app).update_progress, update)
+        except OnboardingCompletedError as error:
+            raise HTTPException(status_code=409, detail=str(error)) from error
+
     @app.post(
         "/api/v1/onboarding/complete",
         response_model=OnboardingState,
@@ -3829,6 +3905,30 @@ def create_app(
         app.state.memory_task_store.pause_profile_for_model(profile_id)
         return Response(status_code=204)
 
+    @app.get(
+        "/api/v2/home-projection",
+        response_model=HomeProjectionV1,
+        dependencies=strict,
+    )
+    async def home_projection(
+        user_id: str = Query(default=DEFAULT_USER_ID, pattern=USER_ID_PATTERN),
+    ) -> HomeProjectionV1:
+        """The mode-neutral homepage read model owned by Core."""
+        try:
+            mode = _memory_mode(app)
+            handle = _sdk_client_handle(app)
+            if isinstance(handle, ActiveProfileReadHandle):
+                client = await handle.client_for_mode(mode)
+            else:
+                client = await handle.client()
+            return await read_home_projection(
+                client,
+                user_id=user_id,
+                mode=mode,
+            )
+        except Exception as error:
+            raise _sdk_http_error(error, "home_projection_read_failed") from None
+
     @app.get(
         "/api/v2/home-summary",
         response_model=SdkHomeSummary,
@@ -3995,7 +4095,9 @@ def create_app(
             client = await _sdk_client_handle(app).client()
 
             def count(layer: str) -> int:
-                layer_statuses = chosen or (list(RAW_STATUSES) if layer == "l1_raw" else ["active"])
+                layer_statuses = chosen or (
+                    raw_list_filters()["statuses"] if layer == "l1_raw" else ["active"]
+                )
                 raw = client.list_memories(
                     user_id=user_id,
                     layers=[layer],
@@ -4353,6 +4455,16 @@ def create_app(
             raise _sdk_http_error(error, "hy_memory_delete_failed") from None
         return Response(status_code=204)
 
+    raw_turn_cache: dict[
+        tuple[object, ...],
+        tuple[
+            int,
+            tuple[tuple[str, str | None], ...],
+            tuple[tuple[HySdkRawRecord, RawDisplayTurn], ...],
+        ],
+    ] = {}
+    raw_turn_cache_locks: dict[tuple[object, ...], asyncio.Lock] = {}
+
     @app.get(
         "/api/v2/raw",
         response_model=SdkRawPage,
@@ -4362,6 +4474,7 @@ def create_app(
         source: list[str] | None = Query(default=None),  # noqa: B008
         offset: int = Query(default=0, ge=0),
         limit: int = Query(default=100, ge=1, le=500),
+        unit: Literal["raw", "turn"] = Query(default="raw"),
         user_id: str = Query(default=DEFAULT_USER_ID, pattern=USER_ID_PATTERN),
         exclude_sources: list[str] | None = Query(default=None),  # noqa: B008
         session_id: list[str] | None = Query(default=None),  # noqa: B008
@@ -4375,38 +4488,162 @@ def create_app(
         The SDK lists raw only when asked for `layers=["l1_raw"]`, and only
         active rows unless told otherwise. Pro shadows a raw once extraction
         succeeds, so a raw page reads active and shadow (`statuses` narrows
-        it). `source` and `session_id` (a conversation) may repeat or be comma
+        it). `unit=turn` projects storage batches into stable product turns;
+        the first read builds an append-only in-memory index and later polls
+        only probe the latest SDK page unless it changed. `source` and
+        `session_id` (a conversation) may repeat or be comma
         separated. `after`/`before` (unix seconds, against the conversation
         time, else the stored time) have no SDK list filter: they cut this
         page in Core and mark it `time_filtered`.
         """
-        chosen_statuses = _library_values(
-            statuses or [], MEMORY_STATUSES, "memory_status_unknown"
-        ) or list(RAW_STATUSES)
+        chosen_statuses = (
+            _library_values(statuses or [], MEMORY_STATUSES, "memory_status_unknown")
+            or raw_list_filters()["statuses"]
+        )
         sources = split_csv(source)
         excluded = split_csv(exclude_sources)
         sessions = split_csv(session_id)
         try:
             client = await _sdk_client_handle(app).client()
-            value = await asyncio.to_thread(
-                client.list_memories,
-                user_id=user_id,
-                layers=["l1_raw"],
-                statuses=chosen_statuses,
-                include_sources=sources or None,
-                exclude_sources=excluded or None,
-                session_ids=sessions or None,
-                offset=offset,
-                limit=limit,
-                order=order,
-            )
-            page = HySdkRawPage.from_memory_list(value, limit=limit, offset=offset)
+            query = {
+                "user_id": user_id,
+                **raw_list_filters(chosen_statuses),
+                "include_sources": sources or None,
+                "exclude_sources": excluded or None,
+                "session_ids": sessions or None,
+                "order": order if unit == "raw" else "desc",
+            }
+            if unit == "raw":
+                value = await asyncio.to_thread(
+                    client.list_memories,
+                    **query,
+                    offset=offset,
+                    limit=limit,
+                )
+                page = HySdkRawPage.from_memory_list(value, limit=limit, offset=offset)
+                records = page.raw
+            else:
+                cache_key = (
+                    user_id,
+                    tuple(sorted(chosen_statuses)),
+                    tuple(sorted(sources)),
+                    tuple(sorted(excluded)),
+                    tuple(sorted(sessions)),
+                )
+                if len(raw_turn_cache_locks) > 64:
+                    for stale_key, stale_lock in tuple(raw_turn_cache_locks.items()):
+                        if (
+                            stale_key not in raw_turn_cache
+                            and not stale_lock.locked()
+                        ):
+                            raw_turn_cache_locks.pop(stale_key, None)
+                lock = raw_turn_cache_locks.setdefault(cache_key, asyncio.Lock())
+                async with lock:
+                    for _attempt in range(3):
+                        value = await asyncio.to_thread(
+                            client.list_memories,
+                            **query,
+                            offset=0,
+                            limit=500,
+                        )
+                        first_page = HySdkRawPage.from_memory_list(
+                            value, limit=500, offset=0
+                        )
+                        signature = tuple(
+                            (record.raw_id, record.status) for record in first_page.raw
+                        )
+                        cached = raw_turn_cache.get(cache_key)
+                        if (
+                            cached is not None
+                            and cached[0] == first_page.total
+                            and cached[1] == signature
+                        ):
+                            projected_turns = cached[2]
+                            break
+
+                        records_list = list(first_page.raw)
+                        raw_offset = len(first_page.raw)
+                        raw_total = first_page.total
+                        while first_page.raw and raw_offset < raw_total:
+                            value = await asyncio.to_thread(
+                                client.list_memories,
+                                **query,
+                                offset=raw_offset,
+                                limit=500,
+                            )
+                            raw_page = HySdkRawPage.from_memory_list(
+                                value, limit=500, offset=raw_offset
+                            )
+                            records_list.extend(raw_page.raw)
+                            raw_offset += len(raw_page.raw)
+                            if not raw_page.raw:
+                                break
+
+                        verify_value = await asyncio.to_thread(
+                            client.list_memories,
+                            **query,
+                            offset=0,
+                            limit=500,
+                        )
+                        verify = HySdkRawPage.from_memory_list(
+                            verify_value, limit=500, offset=0
+                        )
+                        verify_signature = tuple(
+                            (record.raw_id, record.status) for record in verify.raw
+                        )
+                        if (
+                            verify.total != first_page.total
+                            or verify_signature != signature
+                        ):
+                            continue
+                        projected_turns = tuple(
+                            (record, turn)
+                            for record in records_list
+                            for turn in reversed(raw_display_turns(record))
+                        )
+                        raw_turn_cache[cache_key] = (
+                            first_page.total,
+                            signature,
+                            projected_turns,
+                        )
+                        while len(raw_turn_cache) > 32:
+                            oldest = next(iter(raw_turn_cache))
+                            raw_turn_cache.pop(oldest)
+                            old_lock = raw_turn_cache_locks.get(oldest)
+                            if old_lock is not None and not old_lock.locked():
+                                raw_turn_cache_locks.pop(oldest, None)
+                        break
+                    else:
+                        raise RuntimeError("hy_memory_raw_snapshot_busy")
+                if cache_key not in raw_turn_cache and not lock.locked():
+                    raw_turn_cache_locks.pop(cache_key, None)
         except HTTPException:
             raise
         except Exception as error:
             raise _sdk_http_error(error, "hy_memory_raw_list_failed") from None
-        records = page.raw
         time_filtered = after is not None or before is not None
+        if unit == "turn":
+            turns = projected_turns
+            if time_filtered:
+                turns = tuple(
+                    (record, turn)
+                    for record, turn in turns
+                    if (at := record.memory_at or record.gmt_created) is not None
+                    and (after is None or at >= after)
+                    and (before is None or at < before)
+                )
+            if order == "asc":
+                turns = tuple(reversed(turns))
+            selected = turns[offset : offset + limit]
+            return SdkRawPage(
+                user_id=user_id,
+                items=tuple(SdkRawItem.of(record, turn) for record, turn in selected),
+                total=len(turns),
+                offset=offset,
+                limit=limit,
+                unit="turn",
+                time_filtered=time_filtered,
+            )
         if time_filtered:
             records = tuple(
                 record
@@ -4421,6 +4658,7 @@ def create_app(
             total=page.total,
             offset=offset,
             limit=limit,
+            unit="raw",
             time_filtered=time_filtered,
         )
 
@@ -4675,6 +4913,15 @@ def create_app(
         """The SDK mode (lite / pro / ultra): configured, effective, and why."""
         return _memory_mode_state(app)
 
+    @app.post(
+        "/api/v1/settings/memory-mode/plan",
+        response_model=MemoryModePlan,
+        dependencies=strict,
+    )
+    def plan_memory_mode(request: MemoryModeUpdate) -> MemoryModePlan:
+        """Validate and explain a mode change without mutating anything."""
+        return _memory_mode_plan(app, request.mode)
+
     @app.put(
         "/api/v1/settings/memory-mode",
         response_model=MemoryModeChange,
@@ -4693,13 +4940,14 @@ def create_app(
         added to the graph once, in the background (`graph_build`). No raw is
         ever deleted, in any mode. See docs/contracts/memory-mode-evolve-v1.md.
         """
-        if request.mode == "ultra" and importlib.util.find_spec("kuzu") is None:
-            raise HTTPException(status_code=409, detail="graph_store_unavailable")
         store = _config_store(app)
         async with app.state.memory_mode_lock:
-            previous_effective = _memory_mode(app)
+            plan = _memory_mode_plan(app, request.mode)
+            if plan.blockers:
+                raise HTTPException(status_code=409, detail=plan.blockers[0])
+            previous_effective = plan.current
             previous = store.memory_mode()
-            if previous != request.mode or "memory_mode" not in store.document().model_fields_set:
+            if previous != request.mode or not store.memory_mode_explicitly_configured():
                 await asyncio.to_thread(store.set_memory_mode, request.mode)
             effective = _memory_mode(app)
             backfill: bool | None = None
@@ -4718,6 +4966,8 @@ def create_app(
                     outcome="succeeded",
                     details={"mode": effective, "previous_mode": previous_effective},
                 )
+        if effective == "lite" and effective != previous_effective:
+            _resume_sedimentation(app)
         return MemoryModeChange(
             **_memory_mode_state(app).model_dump(),
             previous_mode=previous_effective,
@@ -4862,14 +5112,18 @@ def create_app(
         in flight and holds their next writes until it ends, and repeats
         while the SDK says there is more to do (up to 20 rounds).
         """
-        try:
-            return _evolve_service(app).start(
-                request.user_id,
-                agent_id=request.agent_id,
-                max_batches=request.max_batches,
-            )
-        except EvolveModeError:
-            raise HTTPException(status_code=409, detail="memory_mode_not_ultra") from None
+        async with app.state.memory_mode_lock:
+            _refuse_pipeline_change_during_embedding_maintenance(app)
+            if app.state.memory_graph_backfill.running:
+                raise HTTPException(status_code=409, detail="memory_lifecycle_busy")
+            try:
+                return _evolve_service(app).start(
+                    request.user_id,
+                    agent_id=request.agent_id,
+                    max_batches=request.max_batches,
+                )
+            except EvolveModeError:
+                raise HTTPException(status_code=409, detail="memory_mode_not_ultra") from None
 
     @app.get(
         "/api/v2/evolve",
@@ -4987,16 +5241,16 @@ def create_app(
         """Start or stop model-driven sedimentation, keeping the configuration.
 
         Stopping is the user's cost control: nothing further goes to the model
-        and already queued work waits rather than failing, so starting again
-        resumes it. Importing conversations is not affected either way.
+        and already queued work remains pending rather than failing. Starting
+        again lets the normal claim tick continue it; this route never broadly
+        re-admits permission/model parked jobs. Importing conversations is not
+        affected either way.
         """
         store = _config_store(app)
-        changed = False
         async with app.state.sedimentation_lock:
             previous = store.sedimentation_enabled()
             if previous is not request.enabled:
                 await asyncio.to_thread(store.set_sedimentation_enabled, request.enabled)
-                changed = True
                 diagnostic_event(
                     level="info",
                     component="memory.sedimentation",
@@ -5004,11 +5258,6 @@ def create_app(
                     outcome="succeeded",
                     details={"enabled": request.enabled},
                 )
-        if changed and request.enabled:
-            # Work parked by the stop is picked up again rather than waiting
-            # for the next natural dispatch, but not on this request's time:
-            # see _resume_sedimentation.
-            _resume_sedimentation(app)
         return SedimentationState(enabled=store.sedimentation_enabled())
 
     @app.post(
@@ -5808,10 +6057,19 @@ def _resume_sedimentation(app: FastAPI) -> None:
     """
     running = cast("asyncio.Task[None] | None", getattr(app.state, "sedimentation_resume", None))
     if running is not None and not running.done():
+        app.state.sedimentation_resume_again = True
         return
+
+    async def resume_until_stable() -> None:
+        while True:
+            app.state.sedimentation_resume_again = False
+            await _sdk_memory_runtime(app).resume_allowed()
+            if not app.state.sedimentation_resume_again:
+                return
+
     app.state.sedimentation_resume = watched_task(
         asyncio.get_running_loop(),
-        lambda: _sdk_memory_runtime(app).resume_allowed(),
+        resume_until_stable,
         component="memory.sedimentation",
         name="one-memory-sedimentation-resume",
     )
@@ -6178,14 +6436,65 @@ def _memory_mode(app: FastAPI) -> MemoryMode:
 
 def _memory_mode_state(app: FastAPI) -> MemoryModeState:
     mode = _memory_mode(app)
+    store = _config_store(app)
     return MemoryModeState(
         mode=mode,
-        configured_mode=_config_store(app).memory_mode(),
+        configured_mode=store.memory_mode(),
+        explicitly_configured=store.memory_mode_explicitly_configured(),
         forced_by_env=graph_store_enabled(),
         graph_build=app.state.evolve_state_store.graph_build(),
     )
 
 
+def _memory_mode_plan(app: FastAPI, target: MemoryMode) -> MemoryModePlan:
+    """One validator for previews and mutations, in stable blocker order."""
+    current = _memory_mode(app)
+    effective_target = cast(MemoryMode, effective_memory_mode(target))
+    blockers: list[MemoryModeBlocker] = []
+    if not _embedding_writes_open(app):
+        blockers.append("embedding_maintenance_in_progress")
+    if (
+        effective_target != current
+        and effective_target in {"pro", "ultra"}
+        and _model_profile_store(app).active_identity() is None
+    ):
+        blockers.append("active_model_required")
+    if effective_target != current and (
+        _evolve_service(app).running() or app.state.memory_graph_backfill.running
+    ):
+        blockers.append("memory_lifecycle_busy")
+    if (
+        effective_target != current
+        and effective_target == "ultra"
+        and importlib.util.find_spec("kuzu") is None
+    ):
+        blockers.append("graph_store_unavailable")
+
+    warnings: list[MemoryModeWarning] = []
+    if graph_store_enabled():
+        warnings.append("forced_by_env")
+    if effective_target == current:
+        warnings.append("effective_no_change")
+
+    graph_backfill: bool | None = None
+    if effective_target == "ultra" and current != "ultra":
+        graph_backfill = not app.state.memory_graph_backfill.running
+    effects = memory_mode_effects(
+        current,
+        effective_target,
+        graph_backfill=graph_backfill,
+    )
+    return MemoryModePlan(
+        current=current,
+        target=target,
+        effective_target=effective_target,
+        capabilities=home_capabilities(effective_target),
+        effects=() if blockers else effects,
+        warnings=tuple(warnings),
+        blockers=tuple(blockers),
+    )
+
+
 def _evolve_service(app: FastAPI) -> EvolveService:
     return cast(EvolveService, app.state.evolve_service)
 
@@ -6559,7 +6868,7 @@ def _sedimentation_claim_enabled(app: FastAPI, source_id: str) -> bool:
     """
 
     return (
-        _config_store(app).sedimentation_enabled()
+        _pipeline_writes_enabled(app)
         and _embedding_writes_open(app)
         and (_memory_mode(app) == "lite" or _model_profile_store(app).active_identity() is not None)
         and _history_import_gate_released(app)
@@ -6568,6 +6877,40 @@ def _sedimentation_claim_enabled(app: FastAPI, source_id: str) -> bool:
     )
 
 
+async def _admit_pipeline_invocation(
+    app: FastAPI,
+    source_id: str,
+    requires_generation: bool,
+    mark_invoked: Callable[[], Awaitable[bool]],
+) -> bool:
+    """Serialize the final source and pipeline checks with the durable mark."""
+
+    source_lock = app.state.source_permission_locks.setdefault(source_id, asyncio.Lock())
+    async with app.state.sedimentation_lock, source_lock:
+        if requires_generation and not _config_store(app).sedimentation_enabled():
+            raise RuntimeError("model_sedimentation_disabled")
+        if not _embedding_writes_open(app):
+            raise RuntimeError("embedding_switch_in_progress")
+        if not _source_writes_on(app, source_id):
+            raise RuntimeError("model_content_source_disabled")
+        return await mark_invoked()
+
+
+def _pipeline_writes_enabled(app: FastAPI) -> bool:
+    """Raw-only lite writes run even when model sedimentation is paused."""
+
+    return _memory_mode(app) == "lite" or _config_store(app).sedimentation_enabled()
+
+
+def _model_claim_allowance(app: FastAPI) -> int | None:
+    """A failed generation model never pauses raw-only lite ingestion."""
+
+    backoff = cast(ModelBackoff, app.state.model_backoff)
+    if _memory_mode(app) == "lite":
+        return backoff.allowance(kind="embedding")
+    return backoff.allowance()
+
+
 def _user_evolving(app: FastAPI, user_id: str) -> bool:
     """Whether evolve holds this user's writes right now."""
     coordinator = getattr(app.state, "sdk_write_coordinator", None)
@@ -6612,6 +6955,12 @@ def _refuse_write_during_embedding_switch(app: FastAPI) -> None:
         raise HTTPException(status_code=409, detail="embedding_switch_in_progress")
 
 
+def _refuse_pipeline_change_during_embedding_maintenance(app: FastAPI) -> None:
+    """Keep mode/evolve lifecycle changes out of embedding maintenance."""
+    if not _embedding_writes_open(app):
+        raise HTTPException(status_code=409, detail="embedding_maintenance_in_progress")
+
+
 _EMBEDDING_PATCH_FIELDS = frozenset(
     {"embedding_model", "embedding_provider_kind", "embedding_base_url", "embedding_dimensions"}
 )

memhub/apps/core/src/one_memory/context_models.py

@@ -66,6 +66,8 @@ class SdkContextSearchRequest(ContextSearchRequest, SdkSearchOptions):
     limit: int = Field(default=10, ge=1, le=20, strict=True)
     schema_limit: int = Field(default=3, ge=0, le=20, strict=True)
     intention_limit: int = Field(default=1, ge=0, le=20, strict=True)
+    #: Product callers can request one item per turn instead of SDK raw batches.
+    raw_unit: Literal["raw", "turn"] = "raw"
     #: Whose memories to search. The App never sends it and reads `local`.
     user_id: UserId = DEFAULT_USER_ID
 
@@ -123,6 +125,9 @@ class SdkRawContextItem(BaseModel):
     memory_at: datetime | None = None
     score: float = Field(ge=0, le=1)
     truncated: bool = False
+    turn_id: str | None = Field(default=None, min_length=1, max_length=96)
+    turn_index: int | None = Field(default=None, ge=0)
+    turn_count: int | None = Field(default=None, ge=1)
 
 
 class SdkMemoryContextItem(BaseModel):

memhub/apps/core/src/one_memory/context_routes.py

@@ -30,6 +30,7 @@ from one_memory.hy_sdk_types import (
     parse_sdk_search,
 )
 from one_memory.imports.storage import EvidenceStore
+from one_memory.raw_turns import raw_display_turns
 from one_memory.sdk_search_options import SdkSearchFilters, SearchLane
 from one_memory.semantic_deadline import SemanticMemoryHit
 from one_memory.user_scope import owns
@@ -120,6 +121,9 @@ def sdk_context_router(dependencies: Sequence[Depends]) -> APIRouter:
             sources = raw_lane_sources(authority.raw_sources, value.include_sources)
             if sources is None:
                 return ()
+            candidate_limit = (
+                min(value.limit * 10, 200) if value.raw_unit == "turn" else value.limit
+            )
             raw = await asyncio.to_thread(
                 client.search,
                 value.query,
@@ -127,7 +131,7 @@ def sdk_context_router(dependencies: Sequence[Depends]) -> APIRouter:
                     "user_ids": [value.user_id],
                     "agent_ids": [],
                     "include_sources": sources,
-                    "limit": value.limit,
+                    "limit": candidate_limit,
                     "min_score": 0.0,
                     "schema_min_score": 0.0,
                     "schema_limit": 0,
@@ -135,27 +139,59 @@ def sdk_context_router(dependencies: Sequence[Depends]) -> APIRouter:
                     "scene": "chat",
                     "reader": HY_MEMORY_READER,
                     "layers": ["l1_raw"],
+                    "statuses": ["active", "shadow"],
                     **raw_lane_overrides(value),
                 },
             )
             hits = tuple(
                 hit for hit in parse_sdk_raw_search(raw) if value.passes_floor("raw", hit.score)
             )
-            return tuple(
-                SdkRawContextItem(
-                    raw_id=hit.raw_id,
-                    content=hit.content,
-                    source=hit.source,
-                    session_id=hit.session_id,
-                    memory_at=(
-                        datetime.fromtimestamp(hit.memory_at, tz=UTC)
-                        if hit.memory_at is not None
-                        else None
-                    ),
-                    score=hit.score,
-                )
-                for hit in hits
-            )
+            items: list[SdkRawContextItem] = []
+            for hit in hits:
+                turns = raw_display_turns(hit) if value.raw_unit == "turn" else ()
+                if turns:
+                    query = value.query.casefold()
+                    lexical = tuple(turn for turn in turns if query in turn.content.casefold())
+                    # A batch-level embedding cannot identify which contained
+                    # turn matched semantically. Return only turns grounded by
+                    # the query text instead of assigning every sibling the
+                    # batch score and showing unrelated conversations.
+                    for turn in lexical:
+                        items.append(
+                            SdkRawContextItem(
+                                raw_id=hit.raw_id,
+                                turn_id=turn.turn_id,
+                                turn_index=turn.turn_index,
+                                turn_count=turn.turn_count,
+                                content=turn.content,
+                                source=hit.source,
+                                session_id=hit.session_id,
+                                memory_at=(
+                                    datetime.fromtimestamp(hit.memory_at, tz=UTC)
+                                    if hit.memory_at is not None
+                                    else None
+                                ),
+                                score=hit.score,
+                            )
+                        )
+                else:
+                    items.append(
+                        SdkRawContextItem(
+                            raw_id=hit.raw_id,
+                            content=hit.content,
+                            source=hit.source,
+                            session_id=hit.session_id,
+                            memory_at=(
+                                datetime.fromtimestamp(hit.memory_at, tz=UTC)
+                                if hit.memory_at is not None
+                                else None
+                            ),
+                            score=hit.score,
+                        )
+                    )
+                if len(items) >= value.limit:
+                    break
+            return tuple(items[: value.limit])
 
         async def memory_lane() -> tuple[SdkMemoryContextItem, ...]:
             # lite extracts nothing: its search answers raw turns, which the

memhub/apps/core/src/one_memory/embedding_switch_routes.py

@@ -126,15 +126,23 @@ def embedding_switch_router(dependencies: Sequence[Depends]) -> APIRouter:
 
     @router.post("/api/v1/embedding-switches", status_code=202, response_model=None)
     async def start_embedding_switch(value: EmbeddingSwitchStartRequest, request: Request) -> Any:
-        try:
-            job = await _service(request).start_switch(
-                value.profile_id,
-                expected_revision=value.expected_revision,
-                plan_token=value.plan_token,
-                requested_by=value.requested_by,
-            )
-        except EmbeddingSwitchError as error:
-            return refusal(error.code, plan=error.plan)
+        # One lifecycle lock orders mode/evolve/backfill and embedding
+        # maintenance. Without it each endpoint could pass its own preflight
+        # and then begin concurrently.
+        async with request.app.state.memory_mode_lock:
+            evolve = request.app.state.evolve_service
+            backfill = request.app.state.memory_graph_backfill
+            if evolve.running() or backfill.running:
+                return refusal("memory_lifecycle_busy")
+            try:
+                job = await _service(request).start_switch(
+                    value.profile_id,
+                    expected_revision=value.expected_revision,
+                    plan_token=value.plan_token,
+                    requested_by=value.requested_by,
+                )
+            except EmbeddingSwitchError as error:
+                return refusal(error.code, plan=error.plan)
         return job.model_dump(mode="json")
 
     @router.get("/api/v1/embedding-switches/current")

memhub/apps/core/src/one_memory/hy_runtime_config.py

@@ -14,7 +14,7 @@ from pathlib import Path
 from typing import Literal, cast
 
 HY_MEMORY_DISTRIBUTION = "hy-memory"
-HY_MEMORY_VERSION = "2.0.12"
+HY_MEMORY_VERSION = "2.0.13"
 HY_MEMORY_NAMESPACE = "governed-v2"
 DiagnosticLogLevel = Literal["error", "warning", "info", "debug"]
 

memhub/apps/core/src/one_memory/hy_sdk_migration.py

@@ -503,7 +503,7 @@ def _ensure_coding_schema(path: Path) -> None:
         CodingMemoryStore,
     )
 
-    # Relies on the pinned SDK's internals (hy-memory==2.0.12 is pinned exactly).
+    # Relies on the pinned SDK's internals (hy-memory==2.0.13 is pinned exactly).
     store = CodingMemoryStore.__new__(CodingMemoryStore)
     store._db_path = str(path)
     store._conn = None

memhub/apps/core/src/one_memory/hy_sdk_types.py

@@ -75,6 +75,9 @@ class HySdkMemoryRecord(BaseModel):
     # Epoch seconds. `updated_at` falls back to `created_at`.
     created_at: int | None = None
     updated_at: int | None = None
+    # Actual scene=all ordering timestamp before the public fallback above.
+    # Internal-only: callers keep the existing SdkMemoryRecord wire shape.
+    sort_updated_at: int | None = Field(default=None, exclude=True, repr=False)
 
     @classmethod
     def from_sdk(cls, raw: object) -> HySdkMemoryRecord:
@@ -95,6 +98,10 @@ class HySdkMemoryRecord(BaseModel):
             if created_at is None:
                 created_at = gmt_created
             updated_at = _epoch(raw.get("updated_at"))
+            modified_at = _epoch(raw.get("gmt_modified"))
+            sort_updated_at = (
+                modified_at if modified_at is not None else updated_at
+            )
             return cls(
                 memory_id=str(raw["memory_id"]),
                 content=str(raw["content"]),
@@ -116,6 +123,7 @@ class HySdkMemoryRecord(BaseModel):
                 gmt_created=gmt_created,
                 created_at=created_at,
                 updated_at=updated_at if updated_at is not None else created_at,
+                sort_updated_at=sort_updated_at,
             )
         except (KeyError, TypeError, ValueError) as error:
             raise HySdkReadError("hy_memory_record_shape_unknown") from error
@@ -180,6 +188,7 @@ class HySdkMemoryRecord(BaseModel):
                 solution=solution,
                 created_at=created_at,
                 updated_at=updated_at if updated_at is not None else created_at,
+                sort_updated_at=updated_at,
             )
         except (KeyError, TypeError, ValueError) as error:
             raise HySdkReadError("hy_memory_record_shape_unknown") from error

memhub/apps/core/src/one_memory/imports/sources/parsing.py

@@ -10,7 +10,10 @@ from pydantic import JsonValue
 from one_memory.input_sanitization import sanitize_model_input
 
 _REMINDER_TAGS = r"additional_data|system[-_]reminder|working_memory_reminder"
-_CONTEXT_TAGS = r"user_info|rules|agent_transcripts|system[-_]notification|pipeline_log"
+_CONTEXT_TAGS = (
+    r"user_info|rules|agent_transcripts|attached_files|image_local_path|"
+    r"system[-_]notification|pipeline_log"
+)
 _TAG_ATTRIBUTES = r"""(?:\s+[\w:-]+\s*=\s*(?:"[^"<>]*"|'[^'<>]*'))*\s*"""
 _HOST_PREFIX = re.compile(rf"<(?P<tag>{_REMINDER_TAGS}|{_CONTEXT_TAGS}){_TAG_ATTRIBUTES}>")
 _REMINDER_START = re.compile(rf"<(?P<tag>{_REMINDER_TAGS}){_TAG_ATTRIBUTES}>")

memhub/apps/core/src/one_memory/memory_evolution.py

@@ -465,12 +465,16 @@ class EvolveScheduler:
         service: EvolveService,
         schedule: Callable[[], EvolveSchedule],
         users_with_memories: Callable[[], Awaitable[Iterable[str]]],
+        lifecycle_lock: asyncio.Lock | None = None,
+        lifecycle_open: Callable[[], bool] = lambda: True,
         now: Callable[[], datetime] = lambda: datetime.now().astimezone(),
         check_seconds: float = SCHEDULE_CHECK_SECONDS,
     ) -> None:
         self.service = service
         self.schedule = schedule
         self.users_with_memories = users_with_memories
+        self.lifecycle_lock = lifecycle_lock
+        self.lifecycle_open = lifecycle_open
         self._now = now
         self.check_seconds = check_seconds
         self._task: asyncio.Task[None] | None = None
@@ -492,7 +496,15 @@ class EvolveScheduler:
             if not evolve_due(now, schedule, last, anchor):
                 continue
             try:
-                receipt = self.service.start(user_id, trigger="scheduled")
+                if self.lifecycle_lock is None:
+                    if not self.lifecycle_open():
+                        break
+                    receipt = self.service.start(user_id, trigger="scheduled")
+                else:
+                    async with self.lifecycle_lock:
+                        if not self.lifecycle_open():
+                            break
+                        receipt = self.service.start(user_id, trigger="scheduled")
             except EvolveModeError:
                 break
             await self.service.wait(receipt.run_id)
@@ -533,10 +545,12 @@ class MemoryGraphBackfill:
         *,
         coordinator: EvolveCoordinator,
         state: EvolveStateStore,
+        lifecycle_open: Callable[[], bool] = lambda: True,
         now: Callable[[], datetime] = lambda: datetime.now(UTC),
     ) -> None:
         self.coordinator = coordinator
         self.state = state
+        self.lifecycle_open = lifecycle_open
         self._now = now
         self._task: asyncio.Task[None] | None = None
 
@@ -557,6 +571,35 @@ class MemoryGraphBackfill:
         self._task = asyncio.create_task(self._run(users), name="one-memory-graph-backfill")
         return state
 
+    def recover(self, user_ids: Iterable[str]) -> GraphBuildState:
+        """Resume an interrupted backfill without repeating completed users."""
+        if self.running:
+            return self.state.graph_build()
+        saved = self.state.graph_build()
+        if saved.state != "running":
+            return saved
+        users = tuple(dict.fromkeys((*saved.users.keys(), *user_ids)))
+        pending = tuple(
+            user_id
+            for user_id in users
+            if saved.users.get(user_id, GraphBuildUser()).state != "succeeded"
+        )
+        resumed = saved.model_copy(deep=True)
+        for user_id in pending:
+            resumed.users[user_id] = GraphBuildUser()
+        if not pending:
+            resumed.state = "succeeded"
+            resumed.finished_at = self._now()
+            self.state.set_graph_build(resumed)
+            return resumed
+        resumed.state = "running"
+        resumed.finished_at = None
+        self.state.set_graph_build(resumed)
+        self._task = asyncio.create_task(
+            self._run(pending), name="one-memory-graph-backfill-recovery"
+        )
+        return resumed
+
     async def wait(self) -> None:
         if self._task is not None:
             await asyncio.shield(self._task)
@@ -564,6 +607,8 @@ class MemoryGraphBackfill:
     async def _run(self, users: tuple[str, ...]) -> None:
         state = self.state.graph_build()
         for user_id in users:
+            while not self.lifecycle_open():
+                await asyncio.sleep(0.2)
             state.users[user_id] = GraphBuildUser(state="running")
             await asyncio.to_thread(self.state.set_graph_build, state.model_copy(deep=True))
             try:

memhub/apps/core/src/one_memory/memory_server/config_state.py

@@ -153,6 +153,11 @@ class ConfigStore:
         with self._lock:
             return self._document.memory_mode
 
+    def memory_mode_explicitly_configured(self) -> bool:
+        """Whether a person chose the mode, including choosing the default."""
+        with self._lock:
+            return "memory_mode" in self._document.model_fields_set
+
     def set_memory_mode(self, mode: MemoryMode) -> ConfigDocument:
         if mode not in MEMORY_MODES:
             raise ValueError("invalid_memory_mode")

memhub/apps/core/src/one_memory/memory_server/durable_queue.py

@@ -2540,7 +2540,7 @@ async def execute_job(
     evidence: EvidenceStore,
     owner: str | None = None,
     source_writes_permitted: Callable[[str], bool] | None = None,
-    admit_hy_invocation: Callable[[str, Callable[[], Awaitable[bool]]], Awaitable[bool]]
+    admit_hy_invocation: Callable[[str, bool, Callable[[], Awaitable[bool]]], Awaitable[bool]]
     | None = None,
     model_failures: Callable[[], AbstractContextManager[ModelAttempt | None]] | None = None,
 ) -> None:
@@ -2593,7 +2593,7 @@ async def execute_job(
 
     hy_invoked = False
 
-    async def mark_hy_invocation() -> None:
+    async def mark_hy_invocation(requires_generation: bool) -> None:
         """Persist the durable boundary immediately before the real HY call."""
         nonlocal hy_invoked
         if hy_invoked:
@@ -2621,7 +2621,7 @@ async def execute_job(
             return await in_the_background(queue.mark_invoked, job_id, owner=owner)
 
         if admit_hy_invocation is not None:
-            admitted = await admit_hy_invocation(source_id, mark)
+            admitted = await admit_hy_invocation(source_id, requires_generation, mark)
         else:
             if source_writes_permitted is not None and not source_writes_permitted(source_id):
                 raise RuntimeError("model_content_source_disabled")
@@ -3261,11 +3261,9 @@ class DurableWriteDrain:
                 "durable_write_drain_job_ceiling_exceeded job_id=%s",
                 job_id,
             )
-            await in_the_background(
-                self.queue.settle_worker_error,
+            await self._settle_worker_error(
                 job_id,
                 error_code="durable_work_ceiling_exceeded",
-                owner=self.owner,
             )
         except Exception as error:
             logger.error(
@@ -3274,11 +3272,9 @@ class DurableWriteDrain:
                 type(error).__name__,
             )
             self._record_database_error(error)
-            await in_the_background(
-                self.queue.settle_worker_error,
+            await self._settle_worker_error(
                 job_id,
                 error_code="durable_executor_error",
-                owner=self.owner,
             )
         finally:
             execution.cancel()
@@ -3287,6 +3283,36 @@ class DurableWriteDrain:
                 with contextlib.suppress(asyncio.CancelledError, Exception):
                     await task
 
+    async def _settle_worker_error(self, job_id: str, *, error_code: str) -> None:
+        """Best-effort settlement must not kill the long-lived drain.
+
+        The row still has a durable lease when this fallback runs. If the
+        single SQLite writer is busy, waiting and retrying here only extends
+        the same contention that made the executor fail. Leave the row where
+        it is instead: lease recovery later moves a never-invoked job back to
+        pending and a possibly-invoked job to unknown, preserving the
+        no-blind-retry boundary.
+
+        Only transient lock/busy refusals are deferred. A malformed query or
+        other programming error still escapes to the outer per-job fence.
+        """
+        try:
+            await in_the_background(
+                self.queue.settle_worker_error,
+                job_id,
+                error_code=error_code,
+                owner=self.owner,
+            )
+        except sqlite3.OperationalError as error:
+            if "locked" not in str(error).lower() and "busy" not in str(error).lower():
+                raise
+            self._sample_database_failure("settle_worker_error", error)
+            logger.warning(
+                "durable_write_worker_settlement_deferred job_id=%s error_type=%s",
+                job_id,
+                type(error).__name__,
+            )
+
     async def _execute_with_ceiling(self, job_id: str) -> None:
         ceiling = (
             await in_the_background(self.work_ceiling)
@@ -3324,7 +3350,26 @@ class DurableWriteDrain:
                 finished = {task for task in active if task.done()}
                 active.difference_update(finished)
                 for task in finished:
-                    await task
+                    try:
+                        await task
+                    except asyncio.CancelledError:
+                        raise
+                    except _LeaseRenewalFatalError:
+                        # Renewal is the ownership fence. If it is broken,
+                        # continuing could let another worker reclaim a job
+                        # while this process is still executing it.
+                        raise
+                    except Exception as error:
+                        # A job task is a fault-containment boundary. Its row
+                        # retains the durable lease and is recovered according
+                        # to hy_invoked; killing this only consumer would strand
+                        # every unrelated write behind it.
+                        self._record_database_error(error)
+                        logger.error(
+                            "durable_write_drain_job_task_failed task_name=%s error_type=%s",
+                            task.get_name(),
+                            type(error).__name__,
+                        )
                 if self.budget is not None and work_deadline is not None:
                     now = _time.monotonic()
                     # Always admit the first unit of a cycle even when the
@@ -3349,7 +3394,12 @@ class DurableWriteDrain:
                         else ()
                     )
                     for job_id in ids:
-                        active.add(asyncio.create_task(self._run_claimed_job(job_id)))
+                        active.add(
+                            asyncio.create_task(
+                                self._run_claimed_job(job_id),
+                                name=f"durable-write:{job_id}",
+                            )
+                        )
                     executed = len(ids)
                     self._database_failure_streaks.pop("claim", None)
                 except asyncio.CancelledError:

memhub/apps/core/src/one_memory/memory_server/migrations.py

@@ -3190,6 +3190,51 @@ async def _061_write_job_retries(cursor: Any) -> None:
         await cursor.execute(statement)
 
 
+ONBOARDING_PROGRESS_MIGRATION_VERSION = 62
+
+
+def onboarding_progress_ddl(dialect: str = "mysql") -> str:
+    """Append resumable onboarding choices without rewriting migration 12."""
+    if dialect == "sqlite":
+        return """
+ALTER TABLE onboarding_state
+ADD COLUMN mode_intent TEXT NULL;
+ALTER TABLE onboarding_state
+ADD COLUMN setup_step TEXT NULL;
+ALTER TABLE onboarding_state
+ADD COLUMN model_profile_id TEXT NULL;
+"""
+    return """
+ALTER TABLE onboarding_state
+ADD COLUMN mode_intent VARCHAR(16) NULL AFTER updated_at;
+ALTER TABLE onboarding_state
+ADD COLUMN setup_step VARCHAR(16) NULL AFTER mode_intent;
+ALTER TABLE onboarding_state
+ADD COLUMN model_profile_id VARCHAR(36) NULL AFTER setup_step;
+"""
+
+
+async def _062_onboarding_progress(cursor: Any) -> None:
+    if _dialect(cursor) == "sqlite":
+        existing = await cursor.columns("onboarding_state")
+        statements = _split_statements(onboarding_progress_ddl("sqlite"))
+        for column, statement in zip(
+            ("mode_intent", "setup_step", "model_profile_id"),
+            statements,
+            strict=True,
+        ):
+            if column not in existing:
+                await cursor.execute(statement)
+        return
+    for statement in _split_statements(onboarding_progress_ddl("mysql")):
+        try:
+            await cursor.execute(statement)
+        except Exception as error:  # noqa: BLE001 - MySQL driver error type varies
+            if _is_duplicate_column(error):
+                continue
+            raise
+
+
 def _split_statements(sql: str) -> list[str]:
     """Split a multi-statement script, dropping blanks, PRAGMA and comments.
 
@@ -3490,4 +3535,10 @@ MIGRATIONS: tuple[Migration, ...] = (
         ("memory_note_requests",),
     ),
     Migration(61, "write_job_retries", _061_write_job_retries),
+    Migration(
+        ONBOARDING_PROGRESS_MIGRATION_VERSION,
+        "onboarding_progress",
+        _062_onboarding_progress,
+        ("onboarding_state",),
+    ),
 )

memhub/apps/core/src/one_memory/model_backoff.py

@@ -247,15 +247,17 @@ class ModelBackoff:
                 and self._clock() < self._until
             )
 
-    def allowance(self) -> int | None:
-        """How many model jobs may be claimed now: None for no limit.
+    def allowance(self, *, kind: str | None = None) -> int | None:
+        """How many matching provider jobs may be claimed now.
 
         0 while paused; once the pause is over, one probe at a time until it
-        reports or `PROBE_HOLD_SECONDS` pass.
+        reports or `PROBE_HOLD_SECONDS` pass. ``kind`` keeps a failed chat
+        model from pausing raw-only work that needs embeddings, while an
+        embedding outage still paces that work.
         """
         now = self._clock()
         with self._lock:
-            if self._failures == 0:
+            if self._failures == 0 or (kind is not None and kind not in self._failing):
                 return None
             if now < self._until or now < self._probe_until:
                 return 0

memhub/apps/core/src/one_memory/onboarding.py

@@ -4,9 +4,10 @@ from collections.abc import Iterator
 from contextlib import contextmanager
 from datetime import UTC, datetime
 from pathlib import Path
-from typing import Any
+from typing import Any, Literal
+from uuid import UUID
 
-from pydantic import BaseModel, ConfigDict
+from pydantic import BaseModel, ConfigDict, Field, field_validator
 
 from one_memory.database import (
     take_the_write_lock_first,
@@ -14,11 +15,25 @@ from one_memory.database import (
 from one_memory.database_access import main_database
 
 #: Schema owned by `memory_server.migrations` (migration 12). No local copy.
-from one_memory.memory_server.migrations import onboarding_state_ddl
-from one_memory.memory_server.sql_compat import execute, is_mysql
+from one_memory.memory_server.migrations import (
+    onboarding_progress_ddl,
+    onboarding_state_ddl,
+)
+from one_memory.memory_server.sql_compat import execute, is_mysql, row_to_dict
 from one_memory.memory_server.store_binding import store_for
 
 SCHEMA = onboarding_state_ddl("sqlite")
+ONBOARDING_COLUMNS = (
+    "singleton",
+    "status",
+    "selected_source_ids_json",
+    "started_at",
+    "completed_at",
+    "updated_at",
+    "mode_intent",
+    "setup_step",
+    "model_profile_id",
+)
 
 #: The start/complete upserts, per engine.
 #:
@@ -51,11 +66,13 @@ START_MYSQL = """
         updated_at = VALUES(updated_at)
 """
 COMPLETE_UPDATE_SQLITE = (
-    "UPDATE onboarding_state SET status = 'completed', completed_at = ?, updated_at = ? "
+    "UPDATE onboarding_state SET status = 'completed', completed_at = ?, updated_at = ?, "
+    "mode_intent = NULL, setup_step = NULL, model_profile_id = NULL "
     "WHERE singleton = 1"
 )
 COMPLETE_UPDATE_MYSQL = (
-    "UPDATE onboarding_state SET status = 'completed', completed_at = %s, updated_at = %s "
+    "UPDATE onboarding_state SET status = 'completed', completed_at = %s, updated_at = %s, "
+    "mode_intent = NULL, setup_step = NULL, model_profile_id = NULL "
     "WHERE singleton = 1"
 )
 COMPLETE_INSERT_SQLITE = (
@@ -71,13 +88,27 @@ COMPLETE_INSERT_MYSQL = (
 RESET_UPDATE_SQLITE = (
     "UPDATE onboarding_state SET status = 'not_started', "
     "selected_source_ids_json = '[]', started_at = NULL, completed_at = NULL, "
+    "mode_intent = NULL, setup_step = NULL, model_profile_id = NULL, "
     "updated_at = ? WHERE singleton = 1"
 )
 RESET_UPDATE_MYSQL = (
     "UPDATE onboarding_state SET status = 'not_started', "
     "selected_source_ids_json = '[]', started_at = NULL, completed_at = NULL, "
+    "mode_intent = NULL, setup_step = NULL, model_profile_id = NULL, "
     "updated_at = %s WHERE singleton = 1"
 )
+ENSURE_PROGRESS_SQLITE = (
+    "INSERT INTO onboarding_state ("
+    "singleton,status,selected_source_ids_json,started_at,completed_at,updated_at"
+    ") VALUES (1,'not_started','[]',NULL,NULL,?) "
+    "ON CONFLICT(singleton) DO NOTHING"
+)
+ENSURE_PROGRESS_MYSQL = (
+    "INSERT INTO onboarding_state ("
+    "singleton,status,selected_source_ids_json,started_at,completed_at,updated_at"
+    ") VALUES (1,'not_started','[]',NULL,NULL,%s) "
+    "ON DUPLICATE KEY UPDATE singleton=VALUES(singleton)"
+)
 
 
 class OnboardingState(BaseModel):
@@ -87,6 +118,35 @@ class OnboardingState(BaseModel):
     selected_source_ids: tuple[str, ...]
     started_at: datetime | None
     completed_at: datetime | None
+    mode_intent: Literal["lite", "pro"] | None
+    setup_step: Literal["review", "mode", "model"] | None
+    model_profile_id: str | None
+
+
+class OnboardingProgressUpdate(BaseModel):
+    """Only non-sensitive, resumable choices accepted from the onboarding UI."""
+
+    model_config = ConfigDict(frozen=True, extra="forbid")
+
+    mode_intent: Literal["lite", "pro"] | None = None
+    setup_step: Literal["review", "mode", "model"] | None = None
+    model_profile_id: str | None = Field(default=None, min_length=36, max_length=36)
+
+    @field_validator("model_profile_id")
+    @classmethod
+    def validate_model_profile_id(cls, value: str | None) -> str | None:
+        if value is None:
+            return None
+        try:
+            if str(UUID(value)) != value:
+                raise ValueError
+        except (ValueError, TypeError, AttributeError):
+            raise ValueError("invalid_model_profile_id") from None
+        return value
+
+
+class OnboardingCompletedError(RuntimeError):
+    pass
 
 
 class OnboardingStore:
@@ -103,12 +163,31 @@ class OnboardingStore:
         """
         with self._connect(initialize=True) as connection:
             execute(connection, is_mysql(self._store), SCHEMA)
+            if not is_mysql(self._store):
+                existing = {
+                    str(row[1]) for row in connection.execute("PRAGMA table_info(onboarding_state)")
+                }
+                statements = tuple(
+                    statement.strip()
+                    for statement in onboarding_progress_ddl("sqlite").split(";")
+                    if statement.strip()
+                )
+                for column, statement in zip(
+                    ("mode_intent", "setup_step", "model_profile_id"),
+                    statements,
+                    strict=True,
+                ):
+                    if column not in existing:
+                        connection.execute(statement)
 
     def get(self) -> OnboardingState:
         mysql = is_mysql(self._store)
         with self._connect() as connection:
             row = execute(
-                connection, mysql, "SELECT * FROM onboarding_state WHERE singleton = 1"
+                connection,
+                mysql,
+                "SELECT " + ", ".join(ONBOARDING_COLUMNS) + " "
+                "FROM onboarding_state WHERE singleton = 1",
             ).fetchone()
         if row is None:
             return OnboardingState(
@@ -116,8 +195,11 @@ class OnboardingStore:
                 selected_source_ids=(),
                 started_at=None,
                 completed_at=None,
+                mode_intent=None,
+                setup_step=None,
+                model_profile_id=None,
             )
-        return self._to_state(row)
+        return self._to_state(row, mysql=mysql)
 
     def start(self, source_ids: tuple[str, ...]) -> OnboardingState:
         now = datetime.now(UTC).isoformat()
@@ -150,6 +232,43 @@ class OnboardingStore:
                 )
         return self.get()
 
+    def update_progress(self, update: OnboardingProgressUpdate) -> OnboardingState:
+        fields = tuple(
+            field
+            for field in ("mode_intent", "setup_step", "model_profile_id")
+            if field in update.model_fields_set
+        )
+        if not fields:
+            state = self.get()
+            if state.status == "completed":
+                raise OnboardingCompletedError("onboarding_completed")
+            return state
+        mysql = is_mysql(self._store)
+        placeholder = "%s" if mysql else "?"
+        assignments = [f"{field} = {placeholder}" for field in fields]
+        assignments.append(f"updated_at = {placeholder}")
+        values = [getattr(update, field) for field in fields]
+        now = datetime.now(UTC).isoformat()
+        values.append(now)
+        with self._connect(writing=True) as connection:
+            execute(
+                connection,
+                mysql,
+                ENSURE_PROGRESS_MYSQL if mysql else ENSURE_PROGRESS_SQLITE,
+                (now,),
+            )
+            updated = execute(
+                connection,
+                mysql,
+                "UPDATE onboarding_state SET "
+                + ", ".join(assignments)
+                + " WHERE singleton = 1 AND status != 'completed'",
+                tuple(values),
+            )
+            if updated.rowcount != 1:
+                raise OnboardingCompletedError("onboarding_completed")
+        return self.get()
+
     def reset(self) -> OnboardingState:
         """Return onboarding to its first-run state, touching nothing else.
 
@@ -207,33 +326,53 @@ class OnboardingStore:
             yield connection
 
     @staticmethod
-    def _to_state(row: Any) -> OnboardingState:
-        """Read the row by position, so it works for `sqlite3.Row` and tuples.
-
-        `SELECT *` makes the column order part of the contract here, which is
-        why the query is `SELECT *` and the indices are named: relying on
-        `row["..."]` would only work on SQLite, and relying on position alone
-        without saying which column is which would be unreadable.
-
-        Timestamps are a further engine difference: SQLite hands back the stored
-        string, MySQL hands back a `datetime`. Accepting both is not padding —
-        parsing a `datetime` raises, and treating a string as one would be
-        silently wrong.
-        """
-        # singleton, status, selected_source_ids_json, started_at, completed_at, updated_at
-        raw_ids = json.loads(row[2])
+    def _to_state(row: Any, *, mysql: bool) -> OnboardingState:
+        """Map SQLite rows and MySQL tuples through the shared database adapter."""
+        if mysql:
+            if not isinstance(row, tuple):
+                raise ValueError("onboarding_row_shape_invalid")
+        elif not isinstance(row, sqlite3.Row):
+            raise ValueError("onboarding_row_shape_invalid")
+        if len(row) != len(ONBOARDING_COLUMNS):
+            raise ValueError("onboarding_row_shape_invalid")
+        if mysql:
+            values = dict(zip(ONBOARDING_COLUMNS, tuple(row), strict=True))
+        else:
+            values = row_to_dict(row, ONBOARDING_COLUMNS, mysql=False)
+            if set(values) != set(ONBOARDING_COLUMNS):
+                raise ValueError("onboarding_row_shape_invalid")
+        _as_datetime(values["updated_at"], mysql=mysql, nullable=False)
+        raw_ids = json.loads(values["selected_source_ids_json"])
         return OnboardingState(
-            status=row[1],
+            status=values["status"],
             selected_source_ids=tuple(value for value in raw_ids if isinstance(value, str)),
-            started_at=_as_datetime(row[3]),
-            completed_at=_as_datetime(row[4]),
+            started_at=_as_datetime(values["started_at"], mysql=mysql),
+            completed_at=_as_datetime(values["completed_at"], mysql=mysql),
+            mode_intent=values["mode_intent"],
+            setup_step=values["setup_step"],
+            model_profile_id=values["model_profile_id"],
         )
 
 
-def _as_datetime(value: object) -> datetime | None:
-    """SQLite stores these as text; MySQL returns `datetime` objects."""
-    if value is None or value == "":
+def _as_datetime(
+    value: object,
+    *,
+    mysql: bool,
+    nullable: bool = True,
+) -> datetime | None:
+    """Validate the engine's timestamp shape and normalize it to UTC."""
+    if value is None:
+        if not nullable:
+            raise ValueError("onboarding_datetime_invalid")
         return None
-    if isinstance(value, datetime):
-        return value
-    return datetime.fromisoformat(str(value))
+    if mysql:
+        if not isinstance(value, datetime):
+            raise ValueError("onboarding_datetime_invalid")
+        parsed = value
+    else:
+        if not isinstance(value, str) or value == "":
+            raise ValueError("onboarding_datetime_invalid")
+        parsed = datetime.fromisoformat(value)
+    if parsed.tzinfo is None:
+        return parsed.replace(tzinfo=UTC)
+    return parsed.astimezone(UTC)

memhub/apps/core/src/one_memory/raw_turns.py

@@ -0,0 +1,62 @@
+"""Turn-level read projection for SDK raw batches.
+
+HY keeps several complete conversation turns in one L1 raw node so model
+writes stay batched. Product readers must not expose that storage batch as
+one conversation item: this module gives every contained turn a stable
+identity while retaining the parent raw id for traceability.
+"""
+
+from __future__ import annotations
+
+import hashlib
+from dataclasses import dataclass
+
+from one_memory.hy_sdk_types import HySdkRawRecord, raw_turn_messages
+
+
+@dataclass(frozen=True)
+class RawDisplayTurn:
+    turn_id: str
+    turn_index: int
+    turn_count: int
+    content: str
+    messages: tuple[tuple[str, str], ...]
+
+
+def raw_display_turns(record: HySdkRawRecord) -> tuple[RawDisplayTurn, ...]:
+    """Split one stored raw batch into user-opened turns.
+
+    A user message opens a new turn; assistant/tool/system messages stay with
+    that user message until the next user message. Legacy content with no user
+    marker remains one turn so it never disappears from the product.
+    """
+    messages = raw_turn_messages(record.content)
+    grouped: list[list[tuple[str, str]]] = []
+    for message in messages:
+        role, _ = message
+        has_user = bool(grouped) and any(item[0] == "user" for item in grouped[-1])
+        if not grouped or (role == "user" and has_user):
+            grouped.append([message])
+        else:
+            grouped[-1].append(message)
+    if not grouped:
+        grouped = [[("", record.content)]]
+
+    digest = hashlib.sha256(record.raw_id.encode("utf-8")).hexdigest()
+    count = len(grouped)
+    return tuple(
+        RawDisplayTurn(
+            turn_id=f"raw-turn:{digest}:{index}",
+            turn_index=index,
+            turn_count=count,
+            content=_turn_content(turn),
+            messages=tuple(turn),
+        )
+        for index, turn in enumerate(grouped)
+    )
+
+
+def _turn_content(messages: list[tuple[str, str]]) -> str:
+    return "\n".join(
+        f"[{role}]: {content}" if role else content for role, content in messages
+    )

memhub/apps/core/src/one_memory/sdk_memory_runtime.py

@@ -25,7 +25,7 @@ from one_memory.hy_runtime_config import HY_MEMORY_READER
 from one_memory.hy_sdk_runtime import SdkClientHandle, sdk_relevance_floor
 from one_memory.hy_sdk_types import HySdkError, parse_sdk_search
 from one_memory.memory_queue import ExtractionWindowPreset, QueueDepths
-from one_memory.memory_server.durable_queue import DurableWriteQueue
+from one_memory.memory_server.durable_queue import WAITING_FOR_MODEL, DurableWriteQueue
 from one_memory.sdk_write_processor import SdkWriteCoordinator
 from one_memory.semantic_deadline import SemanticMemoryHit
 
@@ -309,7 +309,10 @@ class SdkMemoryRuntime:
         return []
 
     async def resume_allowed(self) -> None:
-        await asyncio.to_thread(self.write_queue.readmit_parked)
+        await asyncio.to_thread(
+            self.write_queue.readmit_parked,
+            states=(WAITING_FOR_MODEL,),
+        )
 
     def accepted_backfill_status(self) -> None:
         return None

memhub/apps/core/src/one_memory/sdk_read_handle.py

@@ -94,6 +94,11 @@ class ActiveProfileReadHandle(SdkClientHandle):
         handle = await self.current_handle()
         return self._guarded(handle, await handle.client())
 
+    async def client_for_mode(self, mode: str) -> Any:
+        """Build/read with the caller's one mode snapshot, without rereading it."""
+        handle = await self.current_handle(mode=mode)
+        return self._guarded(handle, await handle.client())
+
     def _guarded(self, handle: SdkClientHandle, client: Any) -> Any:
         """A remote embedding's searches report `embedding_unavailable` (no fallback)."""
         profile = getattr(handle, "profile", None)
@@ -111,15 +116,15 @@ class ActiveProfileReadHandle(SdkClientHandle):
             ),
         )
 
-    async def current_handle(self) -> SdkClientHandle:
+    async def current_handle(self, *, mode: str | None = None) -> SdkClientHandle:
         """The handle of the live space, held for the asking task."""
         space, identity = await in_sdk_read(self._resolve)
-        mode, features = self.memory_mode(), self.current_features()
+        selected_mode, features = mode or self.memory_mode(), self.current_features()
         language = self.current_language()
         key = (
             space.space_id if space is not None else "",
             *identity,
-            mode,
+            selected_mode,
             features,
             language,
         )
@@ -128,7 +133,9 @@ class ActiveProfileReadHandle(SdkClientHandle):
             if handle is None:
                 # Only on a change of space or profile: resolving a key can
                 # reach the system keychain, so it is not done on every read.
-                handle = await in_sdk_read(self._build, space, identity, mode, features, language)
+                handle = await in_sdk_read(
+                    self._build, space, identity, selected_mode, features, language
+                )
                 self._handles[key] = handle
             self._retired.update(value for name, value in self._handles.items() if name != key)
             self._handles = {key: handle}

memhub/apps/core/src/one_memory/sdk_write_processor.py

@@ -3,6 +3,7 @@
 from __future__ import annotations
 
 import asyncio
+import re
 import threading
 from collections.abc import AsyncIterator, Awaitable, Callable, Mapping, Sequence
 from contextlib import asynccontextmanager
@@ -22,11 +23,12 @@ from one_memory.hy_sdk_runtime import (
     SdkClientHandle,
     builtin_retrieval_snapshot,
     language_kwargs,
+    retrieval_view,
 )
 from one_memory.imports.models import EvidenceContentKind, EvidenceOrigin, EvidenceRecord
 from one_memory.input_sanitization import sanitize_model_input
 from one_memory.memory_features import FeatureOverrides
-from one_memory.model_profiles import ModelProfileSnapshot, ModelProfileStore
+from one_memory.model_profiles import ModelProfileSnapshot, ModelProfileStore, ProviderKind
 from one_memory.secrets import SecretStore, SecretStoreUnavailableError
 
 PRODUCT_AGENT_ID = "all-apps"
@@ -111,7 +113,7 @@ class SdkWriteProcessor:
         records: tuple[EvidenceRecord, ...],
         *,
         request_id: str,
-        before_hy_invocation: Callable[[], Awaitable[None]],
+        before_hy_invocation: Callable[[bool], Awaitable[None]],
     ) -> SdkWriteReceipt:
         if not records:
             raise RuntimeError("hy_memory_task_without_inputs")
@@ -138,7 +140,7 @@ class SdkWriteProcessor:
 
         if extracted and not self._lite:
             contents = [sanitize_model_input(record.verbatim) for record in records]
-            await before_hy_invocation()
+            await before_hy_invocation(True)
             result = await _write(
                 request_id,
                 client.add_extracted,
@@ -166,7 +168,7 @@ class SdkWriteProcessor:
             ]
             if not messages:
                 raise RuntimeError("hy_memory_task_without_inputs")
-            await before_hy_invocation()
+            await before_hy_invocation(not self._lite)
             result = await _write(
                 request_id,
                 client.add,
@@ -282,10 +284,8 @@ class SdkWriteCoordinator:
         records: tuple[EvidenceRecord, ...],
         *,
         request_id: str,
-        before_hy_invocation: Callable[[], Awaitable[None]],
+        before_hy_invocation: Callable[[bool], Awaitable[None]],
     ) -> SdkWriteReceipt:
-        if not self.sedimentation_enabled():
-            raise RuntimeError("model_sedimentation_disabled")
         if not self.writes_open():
             # An embedding switch paused writes: the drain puts the job back.
             raise RuntimeError("embedding_switch_in_progress")
@@ -296,9 +296,8 @@ class SdkWriteCoordinator:
         self._writing[user_id] = self._writing.get(user_id, 0) + 1
         try:
             async with self._active_handle() as handle:
-                return await SdkWriteProcessor(
-                    handle, lite=getattr(handle, "mode", None) == "lite"
-                ).process_sdk_job(
+                lite = getattr(handle, "mode", None) == "lite"
+                return await SdkWriteProcessor(handle, lite=lite).process_sdk_job(
                     records,
                     request_id=request_id,
                     before_hy_invocation=before_hy_invocation,
@@ -465,24 +464,27 @@ class SdkWriteCoordinator:
             return (builtin.profile_id, builtin.revision), builtin, None, space
         identity = (space.profile_id, space.profile_revision)
         profile = self.profiles.snapshot(*identity)
-        try:
-            secret = self.profiles.resolve_snapshot_secret(*identity, self.secrets)
-        except SecretStoreUnavailableError:
-            raise RuntimeError("secure_storage_unavailable") from None
-        if profile.has_api_key and secret is None:
-            raise RuntimeError("model_secret_unavailable")
-        return identity, profile, secret, space
+        view = retrieval_view(profile)
+        secret: str | None = None
+        if view.embedding_provider_kind is ProviderKind.OPENAI_COMPATIBLE:
+            try:
+                secret = self.profiles.resolve_snapshot_secret(*identity, self.secrets)
+            except SecretStoreUnavailableError:
+                raise RuntimeError("secure_storage_unavailable") from None
+            if secret is None:
+                raise RuntimeError("model_secret_unavailable")
+        return identity, view, secret, space
 
     def _read_active_credentials(
         self,
         mode: str = "pro",
     ) -> tuple[tuple[str, int], ModelProfileSnapshot, str | None, EmbeddingSpace | None]:
+        if mode == "lite":
+            # A lite write is an embedding-only view of the live space. Never
+            # resolve or inject the generation model endpoint or its secret.
+            return self._lite_credentials()
         identity = self.profiles.active_identity()
         if identity is None:
-            if mode == "lite":
-                # lite stores raw turns with one embedding and calls no model:
-                # the live space's own, so they land where reads look.
-                return self._lite_credentials()
             raise RuntimeError("model_profile_not_active")
         profile = self.profiles.snapshot(*identity)
         space = self._live_space() if self.spaces is not None else None
@@ -568,11 +570,36 @@ def _is_extracted_content(record: EvidenceRecord) -> bool:
     )
 
 
+#: The SDK's stable failure codes are upper snake case (`RECONCILE_FAILED`).
+_SDK_FAILURE_CODE = re.compile(r"[A-Z][A-Z0-9_]{0,47}")
+
+
+def sdk_write_failure_code(value: Mapping[object, object]) -> str:
+    """The job's `error_code` for a failed SDK write: the SDK's own cause if it gave one.
+
+    hy-memory 2.0.13 names why a write failed: `agent_error_code`
+    (`LLM_ERROR`, `EMPTY_RESPONSE`, `JSON_PARSE_FAILED`, `EMBEDDING_FAILED`,
+    `RECONCILE_FAILED`) and, for a failed reconcile, `reconcile_error_code`
+    (`LLM_UNAVAILABLE`, `EMPTY_RESPONSE`, `JSON_PARSE_FAILED`,
+    `RECONCILE_EXCEPTION`). They become `hy_sdk_reconcile_empty_response`,
+    `hy_sdk_llm_error`, ... Without a recognisable code it stays
+    `hy_sdk_write_failed`. Only the code is kept, never the SDK's message.
+    """
+    reconcile = value.get("reconcile_error_code")
+    if isinstance(reconcile, str) and _SDK_FAILURE_CODE.fullmatch(reconcile):
+        cause = reconcile.removeprefix("RECONCILE_") or "FAILED"
+        return f"hy_sdk_reconcile_{cause.lower()}"
+    agent = value.get("agent_error_code")
+    if isinstance(agent, str) and _SDK_FAILURE_CODE.fullmatch(agent):
+        return f"hy_sdk_{agent.lower()}"
+    return "hy_sdk_write_failed"
+
+
 def _receipt_from_result(value: object) -> SdkWriteReceipt:
     if not isinstance(value, Mapping):
         raise RuntimeError("hy_sdk_write_receipt_shape_invalid")
     if value.get("success") is not True:
-        raise RuntimeError("hy_sdk_write_failed")
+        raise RuntimeError(sdk_write_failure_code(value))
 
     # Read only documented public receipt fields. ``variant`` identifies the
     # productivity namespace; IDs from both variants are canonical memory IDs.

memhub/apps/core/src/one_memory/ui_projection.py

@@ -0,0 +1,283 @@
+"""Stable UI projections over the HY SDK's mode-specific storage shapes."""
+
+from __future__ import annotations
+
+import asyncio
+import re
+from datetime import UTC, datetime
+from typing import Any, Literal, cast
+
+from pydantic import BaseModel, ConfigDict, Field
+
+from one_memory.hy_sdk_types import (
+    HySdkMemoryPage,
+    HySdkMemoryRecord,
+    HySdkRawPage,
+    HySdkRawRecord,
+    raw_turn_messages,
+)
+from one_memory.imports.sources.parsing import unwrap_host_envelope_with_positions
+
+MemoryMode = Literal["lite", "pro", "ultra"]
+TimeBasis = Literal["conversation", "import", "write", "update"]
+ProjectionDisplayState = Literal["empty", "excerpt", "no_user_excerpt", "no_displayable_memory"]
+RAW_STATUSES = ("active", "shadow")
+HOME_PROJECTION_CANDIDATES = 10
+HOME_EXCERPT_CODEPOINTS = 200
+
+_SPACE = re.compile(r"\s+")
+_CONTROL_ONLY = re.compile(
+    r"^(?:"
+    r"<<?\s*(?:image|attachment|system[_-]?reminder|no[_ -]?content)\s*>>?"
+    r"|\[\s*(?:image|attachment|system[_ -]?reminder|no[_ -]?content)\s*\]"
+    r")$",
+    re.IGNORECASE,
+)
+
+
+class HomeProjectionCapabilities(BaseModel):
+    model_config = ConfigDict(frozen=True, extra="forbid")
+
+    content_plane: Literal["raw", "memory"]
+    generation_required: bool
+    graph_enabled: bool
+    evolve_available: bool
+
+
+class _HomeLatest(BaseModel):
+    model_config = ConfigDict(frozen=True, extra="forbid")
+
+    time: datetime | None
+    time_basis: TimeBasis | None
+    excerpt: str
+    truncated: bool
+    source_id: str
+
+
+class HomeRawLatest(_HomeLatest):
+    type: Literal["raw"] = "raw"
+    raw_id: str
+    session_id: str
+    display_state: Literal["excerpt", "no_user_excerpt"]
+
+
+class HomeMemoryLatest(_HomeLatest):
+    type: Literal["memory"] = "memory"
+    memory_id: str
+    scene: Literal["chat", "working", "coding"]
+    # scene=all lists chat rows and productivity experiences; facts are not
+    # part of that page or its total.
+    kind: Literal["chat", "experience"]
+    variant: Literal["working", "coding"] | None
+
+
+class HomeProjectionV1(BaseModel):
+    model_config = ConfigDict(frozen=True, extra="forbid")
+
+    projection_version: Literal[1] = 1
+    user_id: str
+    effective_mode: MemoryMode
+    capabilities: HomeProjectionCapabilities
+    visible_count: int = Field(ge=0)
+    display_state: ProjectionDisplayState
+    latest: HomeRawLatest | HomeMemoryLatest | None
+    observed_at: datetime
+
+
+def raw_list_filters(statuses: list[str] | tuple[str, ...] | None = None) -> dict[str, list[str]]:
+    """The one kept-raw definition shared by `/raw` and the home projection."""
+    return {
+        "layers": ["l1_raw"],
+        "statuses": list(statuses or RAW_STATUSES),
+    }
+
+
+def home_capabilities(mode: MemoryMode) -> HomeProjectionCapabilities:
+    return HomeProjectionCapabilities(
+        content_plane="raw" if mode == "lite" else "memory",
+        generation_required=mode != "lite",
+        graph_enabled=mode == "ultra",
+        evolve_available=mode == "ultra",
+    )
+
+
+def raw_user_excerpt(content: str, *, limit: int = HOME_EXCERPT_CODEPOINTS) -> tuple[str, bool]:
+    """Return only displayable user text from one SDK raw turn.
+
+    Role selection happens before wrapper removal, so assistant/system content
+    can never become a homepage excerpt after sanitization.
+    """
+    candidates: list[str] = []
+    for role, text in raw_turn_messages(content):
+        if role != "user":
+            continue
+        envelope = unwrap_host_envelope_with_positions(text)
+        if envelope.status == "ambiguous":
+            # An uncertain host envelope may contain system context. Showing
+            # nothing is safer than guessing which bytes the person authored.
+            continue
+        cleaned = envelope.text or ""
+        cleaned = _SPACE.sub(" ", cleaned).strip()
+        if not cleaned or _CONTROL_ONLY.fullmatch(cleaned):
+            continue
+        candidates.append(cleaned)
+    joined = " ".join(candidates)
+    return joined[:limit], len(joined) > limit
+
+
+def _epoch(value: int | None) -> datetime | None:
+    return datetime.fromtimestamp(value, tz=UTC) if value is not None else None
+
+
+def _raw_time(record: HySdkRawRecord) -> tuple[datetime | None, TimeBasis | None]:
+    if record.memory_at is not None:
+        return _epoch(record.memory_at), "conversation"
+    if record.gmt_created is not None:
+        return _epoch(record.gmt_created), "import"
+    return None, None
+
+
+def _memory_time(record: HySdkMemoryRecord) -> tuple[datetime | None, TimeBasis | None]:
+    # Exactly the scene=all merge key. `memory_at` is event time and does not
+    # decide which row list_memories returns first.
+    if record.sort_updated_at is not None:
+        return _epoch(record.sort_updated_at), "update"
+    written = record.gmt_created if record.scene == "chat" else record.created_at
+    if written is not None:
+        return _epoch(written), "write"
+    return None, None
+
+
+def _bounded(text: str) -> tuple[str, bool]:
+    flattened = _SPACE.sub(" ", text).strip()
+    return flattened[:HOME_EXCERPT_CODEPOINTS], len(flattened) > HOME_EXCERPT_CODEPOINTS
+
+
+def project_raw_latest(records: tuple[HySdkRawRecord, ...]) -> HomeRawLatest | None:
+    if not records:
+        return None
+    for record in records:
+        excerpt, truncated = raw_user_excerpt(record.content)
+        if excerpt:
+            at, basis = _raw_time(record)
+            return HomeRawLatest(
+                raw_id=record.raw_id,
+                session_id=record.session_id,
+                display_state="excerpt",
+                time=at,
+                time_basis=basis,
+                excerpt=excerpt,
+                truncated=truncated,
+                source_id=record.source,
+            )
+    newest = records[0]
+    at, basis = _raw_time(newest)
+    return HomeRawLatest(
+        raw_id=newest.raw_id,
+        session_id=newest.session_id,
+        display_state="no_user_excerpt",
+        time=at,
+        time_basis=basis,
+        excerpt="",
+        truncated=False,
+        source_id=newest.source,
+    )
+
+
+def project_memory_latest(
+    records: tuple[HySdkMemoryRecord, ...],
+) -> HomeMemoryLatest | None:
+    record = next(
+        (
+            item
+            for item in records
+            if item.kind in {"chat", "experience"}
+            and (
+                (item.kind == "chat" and item.scene == "chat" and item.variant is None)
+                or (
+                    item.kind == "experience"
+                    and item.scene in {"working", "coding"}
+                    and item.variant == item.scene
+                )
+            )
+        ),
+        None,
+    )
+    if record is None:
+        return None
+    excerpt, truncated = _bounded(record.content)
+    at, basis = _memory_time(record)
+    return HomeMemoryLatest(
+        memory_id=record.memory_id,
+        scene=record.scene,
+        kind=cast(Literal["chat", "experience"], record.kind),
+        variant=record.variant,
+        time=at,
+        time_basis=basis,
+        excerpt=excerpt,
+        truncated=truncated,
+        source_id=record.source or "",
+    )
+
+
+async def read_home_projection(
+    client: Any,
+    *,
+    user_id: str,
+    mode: MemoryMode,
+) -> HomeProjectionV1:
+    """Read one authoritative projection; any SDK/shape failure escapes."""
+    client_mode = getattr(client, "mode", mode)
+    if client_mode != mode:
+        raise RuntimeError("home_projection_mode_mismatch")
+    if mode == "lite":
+        raw = await asyncio.to_thread(
+            client.list_memories,
+            user_id=user_id,
+            **raw_list_filters(),
+            limit=HOME_PROJECTION_CANDIDATES,
+            offset=0,
+            order="desc",
+        )
+        raw_page = HySdkRawPage.from_memory_list(raw, limit=HOME_PROJECTION_CANDIDATES, offset=0)
+        visible_count = raw_page.total
+        raw_latest = project_raw_latest(raw_page.raw)
+        latest: HomeRawLatest | HomeMemoryLatest | None = raw_latest
+        display_state: ProjectionDisplayState = (
+            "empty"
+            if visible_count == 0
+            else raw_latest.display_state
+            if raw_latest is not None
+            else "no_user_excerpt"
+        )
+    else:
+        raw = await asyncio.to_thread(
+            client.list_memories,
+            user_id=user_id,
+            scene="all",
+            statuses=["active"],
+            limit=HOME_PROJECTION_CANDIDATES,
+            offset=0,
+            order="desc",
+        )
+        memory_page, _skipped = HySdkMemoryPage.from_sdk_skipping_invalid(
+            raw, limit=HOME_PROJECTION_CANDIDATES, offset=0
+        )
+        visible_count = memory_page.total
+        latest = project_memory_latest(memory_page.memories)
+        display_state = (
+            "empty"
+            if visible_count == 0
+            else "excerpt"
+            if latest is not None
+            else "no_displayable_memory"
+        )
+    return HomeProjectionV1(
+        user_id=user_id,
+        effective_mode=mode,
+        capabilities=home_capabilities(mode),
+        visible_count=visible_count,
+        display_state=display_state,
+        latest=latest,
+        observed_at=datetime.now(UTC),
+    )

memhub/apps/core/tests/TEST_INDEX.md

@@ -111,6 +111,7 @@
 | `test_health.py` | `contract` | 覆盖 a backfill that fails says so rather than disappearing、a failed catch up leaves a traceback behind、configured model without content consent does not start backfill 等 15 个场景。 |
 | `test_hermes_gateway_injection.py` | `contract` | Hermes gateway text in `user` rows: notices are skipped, relayed messages unwrapped. |
 | `test_history_listing_rotation.py` | `contract` | 覆盖 history listing alternates started and untouched files、history listing drains whichever cohort is longer 场景。 |
+| `test_home_projection.py` | `contract` | 覆盖 memory projection covers pro and ultra、memory projection preserves productivity namespace、project raw latest uses import time without conversation time 等 7 个场景。 |
 | `test_host_capabilities.py` | `unit` | A plugin does not become realtime on every host or every unknown version. |
 | `test_hourly_c1_peak_replay_contract.py` | `contract` | Guard the package peak-replay probe's error accounting. |
 | `test_hourly_c1_recall_stage_probe_contract.py` | `contract` | Guard the packaged recall stage probe's command and error semantics. |
@@ -320,4 +321,4 @@
 | `test_workspace_recall.py` | `contract` | Workspace memories were unreachable from every host; these pin the way in. |
 | `test_write_queue_lease_renewal.py` | `contract` | Rule 8: a lease must outlive the work it covers, and be renewed while it runs. |
 
-共 315 个测试文件。
+共 316 个测试文件。

memhub/apps/core/tests/core_test_classification.py

@@ -14,8 +14,8 @@ from pathlib import Path
 import pytest
 
 PRIMARY_MARKERS = ("unit", "contract", "integration", "performance", "live")
-EXPECTED_TEST_FILE_COUNT = 315
-EXPECTED_TEST_FILES_SHA256 = "681258b2a13ca852e273707071b286afe6b0b2fe537f90a8a2c64d83ec662772"
+EXPECTED_TEST_FILE_COUNT = 316
+EXPECTED_TEST_FILES_SHA256 = "011482974a26e9d43ba03bb88cbd168e645175beacd96c02ff642bc17dac49da"
 
 # Pure transformations, validation models, parity checks and state machines.
 # This list is intentionally small: uncertain files default to contract.

memhub/apps/core/tests/test_embedding_switch_api.py

@@ -263,6 +263,48 @@ def test_a_switch_over_the_api_pauses_writes_and_keeps_intake(tmp_path, backend)
     asyncio.run(scenario())
 
 
+def test_graph_backfill_blocks_starting_an_embedding_switch(tmp_path, backend):
+    backend.store.put(
+        builtin_base(),
+        512,
+        {"m1": ("memory", "local")},
+        model="bge-small-zh-v1.5",
+    )
+
+    async def scenario():
+        app = application(tmp_path)
+        async with app.router.lifespan_context(app), client_for(app) as client:
+            await recovered(client)
+            profile = remote_profile(app)
+            plan = (
+                await client.post(
+                    "/api/v1/embedding-switches/plan",
+                    json={"profile_id": profile.profile_id},
+                )
+            ).json()
+            hold = asyncio.Event()
+            task = asyncio.create_task(hold.wait())
+            app.state.memory_graph_backfill._task = task
+            try:
+                response = await client.post(
+                    "/api/v1/embedding-switches",
+                    json={
+                        "profile_id": profile.profile_id,
+                        "expected_revision": profile.revision,
+                        "plan_token": plan["plan_token"],
+                    },
+                )
+                assert response.status_code == 409
+                assert response.json()["detail"] == "memory_lifecycle_busy"
+                assert app.state.embedding_switch.writes_open() is True
+            finally:
+                task.cancel()
+                await asyncio.gather(task, return_exceptions=True)
+                app.state.memory_graph_backfill._task = None
+
+    asyncio.run(scenario())
+
+
 def test_cancel_over_the_api(tmp_path, backend):
     backend.store.put(builtin_base(), 512, {f"m{i}": (f"m {i}", "local") for i in range(4)})
 

memhub/apps/core/tests/test_home_projection.py

@@ -0,0 +1,397 @@
+from __future__ import annotations
+
+import asyncio
+
+import pytest
+from fastapi.testclient import TestClient
+from pydantic import SecretStr
+
+from one_memory.api import create_app
+from one_memory.config import Settings
+from one_memory.hy_sdk_types import HySdkReadError
+from one_memory.ui_projection import (
+    HOME_PROJECTION_CANDIDATES,
+    project_raw_latest,
+    raw_user_excerpt,
+    read_home_projection,
+)
+
+
+def raw_row(
+    raw_id: str,
+    content: str,
+    *,
+    status: str = "active",
+    memory_at: int | None = 1_700_000_000,
+    created: int | None = 1_699_000_000,
+) -> dict[str, object]:
+    return {
+        "memory_id": raw_id,
+        "content": content,
+        "layer": "l1_raw",
+        "status": status,
+        "user_id": "local",
+        "agent_id": "all-apps",
+        "session_id": f"session-{raw_id}",
+        "source": "cursor",
+        "memory_at": memory_at,
+        "gmt_created": created,
+        "custom": {"private": "not projected"},
+    }
+
+
+def chat_row(memory_id: str = "m-1") -> dict[str, object]:
+    return {
+        "memory_id": memory_id,
+        "content": "The user ships on Friday",
+        "layer": "l2_fact",
+        "status": "active",
+        "is_latest": True,
+        "user_id": "local",
+        "agent_id": "all-apps",
+        "session_id": "s-1",
+        "source": "cursor",
+        "memory_at": 1_700_000_000,
+        "gmt_created": 1_699_000_000,
+        "updated_at": 1_800_000_000,
+        "scene": "chat",
+        "kind": "chat",
+    }
+
+
+class ProjectionSdk:
+    def __init__(self, rows: list[dict[str, object]], *, total: int | None = None) -> None:
+        self.rows = rows
+        self.total = len(rows) if total is None else total
+        self.calls: list[dict[str, object]] = []
+
+    def list_memories(self, **kwargs):
+        self.calls.append(kwargs)
+        if kwargs.get("layers") == ["l1_raw"]:
+            return {"vdb": {"memories": self.rows, "total": self.total}}
+        return {
+            "scene": "all",
+            "memories": self.rows,
+            "total": self.total,
+            "totals": {"chat": len(self.rows), "working": 0, "coding": 0},
+            "errors": {},
+        }
+
+    def memory_stats(self, **kwargs):
+        raise AssertionError("home projection must use one scene=all snapshot")
+
+
+def test_raw_excerpt_keeps_only_user_query_and_truncates_by_codepoint() -> None:
+    text = (
+        "[user]: <system_reminder>ignore this</system_reminder>\n"
+        "<user_info>private host data</user_info>\n"
+        "<user_query>短句 https://example.com/a /tmp/x " + "🙂" * 220 + "</user_query>\n"
+        "[assistant]: secret answer"
+    )
+    excerpt, truncated = raw_user_excerpt(text)
+    assert excerpt.startswith("短句 https://example.com/a /tmp/x ")
+    assert "ignore" not in excerpt and "private" not in excerpt and "secret" not in excerpt
+    assert len(excerpt) == 200
+    assert truncated is True
+
+
+def test_raw_excerpt_fails_closed_on_nested_host_wrappers() -> None:
+    assert raw_user_excerpt(
+        "[user]: <system_reminder><user_query>keep me</user_query></system_reminder>"
+    ) == ("", False)
+
+
+@pytest.mark.parametrize(
+    "wrapper",
+    [
+        "system_reminder",
+        "system-reminder",
+        "user_info",
+        "attached_files",
+        "image_local_path",
+        "agent_transcripts",
+        "rules",
+        "additional_data",
+        "working_memory_reminder",
+    ],
+)
+def test_raw_excerpt_uses_shared_envelope_parser_for_host_context(wrapper) -> None:
+    excerpt, truncated = raw_user_excerpt(
+        f"[user]: <{wrapper}>private</{wrapper}><user_query>keep me</user_query>"
+    )
+    assert (excerpt, truncated) == ("keep me", False)
+
+
+@pytest.mark.parametrize(
+    "text",
+    [
+        "[user]: <system_reminder>unclosed <user_query>do not guess</user_query>",
+        "[user]: <user_query>unclosed",
+        "[user]: <rules><rules>nested</rules><user_query>ambiguous</user_query></rules>",
+    ],
+)
+def test_raw_excerpt_fails_closed_on_ambiguous_envelopes(text) -> None:
+    assert raw_user_excerpt(text) == ("", False)
+
+
+def test_raw_projection_uses_shadow_rows_and_k10_without_leaking_payload() -> None:
+    sdk = ProjectionSdk(
+        [
+            raw_row("r-1", "[assistant]: no user here", status="shadow"),
+            raw_row("r-2", "[user]: deploy Friday", status="active"),
+        ],
+        total=42,
+    )
+    result = asyncio.run(read_home_projection(sdk, user_id="local", mode="lite"))
+    assert result.visible_count == 42
+    assert result.latest is not None and result.latest.type == "raw"
+    assert result.latest.raw_id == "r-2"
+    assert result.latest.excerpt == "deploy Friday"
+    assert result.latest.time_basis == "conversation"
+    assert result.display_state == "excerpt"
+    assert sdk.calls == [
+        {
+            "user_id": "local",
+            "layers": ["l1_raw"],
+            "statuses": ["active", "shadow"],
+            "limit": HOME_PROJECTION_CANDIDATES,
+            "offset": 0,
+            "order": "desc",
+        }
+    ]
+    assert set(result.latest.model_dump()) == {
+        "type",
+        "raw_id",
+        "session_id",
+        "display_state",
+        "time",
+        "time_basis",
+        "excerpt",
+        "truncated",
+        "source_id",
+    }
+    serialized = result.model_dump(mode="json")
+    assert serialized["projection_version"] == 1
+    assert serialized["latest"]["time"].endswith("Z")
+    assert "content" not in serialized["latest"]
+
+
+def test_raw_projection_reports_no_user_excerpt_when_k_has_none() -> None:
+    sdk = ProjectionSdk([raw_row("r-1", "[assistant]: answer")])
+    result = asyncio.run(read_home_projection(sdk, user_id="local", mode="lite"))
+    assert result.latest is not None and result.latest.type == "raw"
+    assert result.latest.raw_id == "r-1"
+    assert result.latest.display_state == "no_user_excerpt"
+    assert result.latest.excerpt == ""
+
+
+@pytest.mark.parametrize(
+    ("mode", "graph", "evolve"),
+    [("pro", False, False), ("ultra", True, True)],
+)
+def test_memory_projection_covers_pro_and_ultra(mode, graph, evolve) -> None:
+    sdk = ProjectionSdk([chat_row()], total=9)
+    result = asyncio.run(read_home_projection(sdk, user_id="local", mode=mode))
+    assert result.visible_count == 9
+    assert result.display_state == "excerpt"
+    assert result.capabilities.content_plane == "memory"
+    assert result.capabilities.graph_enabled is graph
+    assert result.capabilities.evolve_available is evolve
+    assert result.latest is not None and result.latest.type == "memory"
+    assert result.latest.memory_id == "m-1"
+    assert result.latest.time_basis == "update"
+    assert result.latest.time.isoformat() == "2027-01-15T08:00:00+00:00"
+
+
+def test_chat_projection_prefers_gmt_modified_when_the_sdk_supplies_it() -> None:
+    row = {**chat_row(), "gmt_modified": 1_810_000_000}
+    result = asyncio.run(read_home_projection(ProjectionSdk([row]), user_id="local", mode="pro"))
+    assert result.latest is not None
+    assert result.latest.time_basis == "update"
+    assert result.latest.time.timestamp() == 1_810_000_000
+
+
+def test_memory_projection_uses_productivity_updated_at() -> None:
+    row = {
+        "kind": "experience",
+        "experience_id": "e-1",
+        "task": "Release",
+        "solution": "Run tests",
+        "scene": "working",
+        "status": "active",
+        "user_id": "local",
+        "agent_id": "all-apps",
+        "source": "manual",
+        "memory_at": 1_600_000_000,
+        "created_at": 1_700_000_000,
+        "updated_at": 1_710_000_000,
+    }
+    result = asyncio.run(read_home_projection(ProjectionSdk([row]), user_id="local", mode="pro"))
+    assert result.latest is not None and result.latest.type == "memory"
+    assert (result.latest.scene, result.latest.kind, result.latest.variant) == (
+        "working",
+        "experience",
+        "working",
+    )
+    assert result.latest.time_basis == "update"
+    assert result.latest.time.isoformat() == "2024-03-09T16:00:00+00:00"
+
+
+@pytest.mark.parametrize(
+    "row",
+    [
+        {**chat_row(), "updated_at": None},
+        {
+            "kind": "experience",
+            "experience_id": "e-1",
+            "task": "Release",
+            "solution": "Run tests",
+            "scene": "coding",
+            "status": "active",
+            "user_id": "local",
+            "agent_id": "all-apps",
+            "source": "manual",
+            "created_at": 1_700_000_000,
+            "updated_at": None,
+        },
+    ],
+)
+def test_memory_projection_sort_time_falls_back_to_scene_creation(row) -> None:
+    result = asyncio.run(read_home_projection(ProjectionSdk([row]), user_id="local", mode="pro"))
+    assert result.latest is not None
+    assert result.latest.time_basis == "write"
+    expected = row.get("gmt_created") or row.get("created_at")
+    assert result.latest.time.timestamp() == expected
+
+
+def test_fact_is_not_a_home_scene_all_item() -> None:
+    row = {
+        "kind": "fact",
+        "fact_id": "f-1",
+        "statement": "Uses pytest",
+        "scene": "coding",
+        "status": "active",
+        "user_id": "local",
+        "agent_id": "all-apps",
+        "source": "manual",
+        "created_at": 1_700_000_000,
+    }
+    result = asyncio.run(read_home_projection(ProjectionSdk([row]), user_id="local", mode="pro"))
+    assert result.visible_count == 1
+    assert result.latest is None
+    assert result.display_state == "no_displayable_memory"
+
+
+def test_invalid_latest_uses_next_parseable_candidate_from_same_snapshot() -> None:
+    sdk = ProjectionSdk(
+        [
+            {"memory_id": "broken", "content": "", "scene": "chat", "kind": "chat"},
+            chat_row("m-2"),
+        ],
+        total=2,
+    )
+    result = asyncio.run(read_home_projection(sdk, user_id="local", mode="pro"))
+    assert result.visible_count == 2
+    assert result.latest is not None and result.latest.memory_id == "m-2"
+    assert len(sdk.calls) == 1
+
+
+def test_scene_all_rejects_boolean_total() -> None:
+    sdk = ProjectionSdk([chat_row()])
+    sdk.total = True  # type: ignore[assignment]
+    with pytest.raises(HySdkReadError):
+        asyncio.run(read_home_projection(sdk, user_id="local", mode="pro"))
+
+
+def test_projection_read_failure_is_not_converted_to_an_empty_projection() -> None:
+    class Broken:
+        def list_memories(self, **kwargs):
+            raise OSError("down")
+
+    with pytest.raises(OSError, match="down"):
+        asyncio.run(read_home_projection(Broken(), user_id="local", mode="lite"))
+
+
+def test_projection_refuses_a_client_built_for_another_mode() -> None:
+    sdk = ProjectionSdk([chat_row()])
+    sdk.mode = "lite"
+    with pytest.raises(RuntimeError, match="home_projection_mode_mismatch"):
+        asyncio.run(read_home_projection(sdk, user_id="local", mode="pro"))
+
+
+def test_home_projection_route_maps_whole_read_failure_to_503(tmp_path, monkeypatch) -> None:
+    class Broken:
+        def list_memories(self, **kwargs):
+            raise OSError("down")
+
+    class Handle:
+        async def client(self):
+            return Broken()
+
+    app = create_app(
+        Settings(
+            _env_file=None,
+            data_dir=tmp_path / "data",
+            source_home=tmp_path,
+            api_token=SecretStr("test"),
+            imports_enabled=False,
+            automatic_memory_processing=False,
+            live_sync_enabled=False,
+        ),
+        source_catalog={},
+    )
+    monkeypatch.setattr("one_memory.api._sdk_client_handle", lambda _app: Handle())
+    with TestClient(app, headers={"Authorization": "Bearer test"}) as client:
+        response = client.get("/api/v2/home-projection")
+    assert response.status_code == 503
+    assert response.json() == {"detail": "home_projection_read_failed"}
+
+
+def test_home_projection_reads_mode_once_and_matches_the_client(tmp_path, monkeypatch) -> None:
+    sdk = ProjectionSdk([chat_row()])
+    sdk.mode = "pro"
+
+    class Handle:
+        async def client(self):
+            return sdk
+
+    app = create_app(
+        Settings(
+            _env_file=None,
+            data_dir=tmp_path / "data",
+            source_home=tmp_path,
+            api_token=SecretStr("test"),
+            imports_enabled=False,
+            automatic_memory_processing=False,
+            live_sync_enabled=False,
+        ),
+        source_catalog={},
+    )
+    reads = 0
+
+    def mode(_app):
+        nonlocal reads
+        reads += 1
+        return "pro"
+
+    with TestClient(app, headers={"Authorization": "Bearer test"}) as client:
+        monkeypatch.setattr("one_memory.api._memory_mode", mode)
+        monkeypatch.setattr("one_memory.api._sdk_client_handle", lambda _app: Handle())
+        response = client.get("/api/v2/home-projection")
+    assert response.status_code == 200, response.text
+    assert response.json()["effective_mode"] == "pro"
+    assert reads == 1
+
+
+def test_project_raw_latest_uses_import_time_without_conversation_time() -> None:
+    from one_memory.hy_sdk_types import HySdkRawRecord
+
+    record = HySdkRawRecord.from_sdk(
+        {
+            **raw_row("r-1", "[user]: hello", memory_at=None),
+            "raw_id": "r-1",
+        }
+    )
+    latest = project_raw_latest((record,))
+    assert latest is not None
+    assert latest.time_basis == "import"

memhub/apps/core/tests/test_live_capture.py

@@ -298,7 +298,7 @@ def test_hook_job_completes_after_file_identity_adoption(tmp_path) -> None:
                     assert current is not None
                     assert ingest_journal.matches_current(connection, current)
                 connection.rollback()
-            await before_hy_invocation()
+            await before_hy_invocation(True)
             return SdkWriteReceipt()
 
     drain = DurableWriteDrain(queue, execute=lambda _job: None)

memhub/apps/core/tests/test_memory_features.py

@@ -524,6 +524,11 @@ def test_features_api_get_put_reset_and_status(tmp_path, monkeypatch) -> None:
             "episode_recall": True,
         }
 
+        monkeypatch.setattr(
+            app.state.model_profile_store,
+            "active_identity",
+            lambda: ("active-profile", 1),
+        )
         await client.put("/api/v1/settings/memory-mode", json={"mode": "ultra"})
         await app.state.memory_graph_backfill.wait()
         ultra = _by_name((await client.get("/api/v1/settings/memory-features")).json())

memhub/apps/core/tests/test_memory_mode_and_evolve.py

@@ -41,6 +41,8 @@ from one_memory.memory_evolution import (
     EvolveScheduler,
     EvolveService,
     EvolveStateStore,
+    GraphBuildState,
+    GraphBuildUser,
     MemoryGraphBackfill,
     evolve_due,
 )
@@ -58,8 +60,10 @@ def test_mode_defaults_to_pro_and_the_env_still_forces_ultra(tmp_path, monkeypat
     monkeypatch.delenv("ONE_MEMORY_GRAPH_STORE", raising=False)
     store = ConfigStore(tmp_path)
     assert store.memory_mode() == "pro"
+    assert store.memory_mode_explicitly_configured() is False
     assert effective_memory_mode(store.memory_mode()) == "pro"
     store.set_memory_mode("lite")
+    assert store.memory_mode_explicitly_configured() is True
     assert ConfigStore(tmp_path).memory_mode() == "lite"
     assert json.loads((tmp_path / "config.json").read_text())["memory_mode"] == "lite"
     monkeypatch.setenv("ONE_MEMORY_GRAPH_STORE", "kuzu")
@@ -70,6 +74,21 @@ def test_mode_defaults_to_pro_and_the_env_still_forces_ultra(tmp_path, monkeypat
         store.set_memory_mode("max")  # type: ignore[arg-type]
 
 
+def test_old_config_defaults_to_implicit_pro_until_pro_is_explicitly_set(tmp_path) -> None:
+    (tmp_path / "config.json").write_text(
+        json.dumps({"schema_version": 1, "sources": {}}), encoding="utf-8"
+    )
+    store = ConfigStore(tmp_path)
+    assert store.memory_mode() == "pro"
+    assert store.memory_mode_explicitly_configured() is False
+
+    store.set_memory_mode("pro")
+
+    assert store.memory_mode_explicitly_configured() is True
+    assert json.loads((tmp_path / "config.json").read_text())["memory_mode"] == "pro"
+    assert ConfigStore(tmp_path).memory_mode_explicitly_configured() is True
+
+
 def test_an_untouched_install_writes_no_new_settings(tmp_path) -> None:
     store = ConfigStore(tmp_path)
     store.set_sync("cursor", True)
@@ -158,6 +177,37 @@ def test_the_read_handle_rebuilds_on_a_mode_or_profile_change(monkeypatch, tmp_p
     asyncio.run(scenario())
 
 
+def test_read_handle_can_bind_one_caller_mode_snapshot(monkeypatch, tmp_path) -> None:
+    from one_memory import sdk_read_handle
+
+    callback_reads = 0
+
+    def current_mode() -> str:
+        nonlocal callback_reads
+        callback_reads += 1
+        return "pro"
+
+    monkeypatch.setattr(
+        sdk_read_handle,
+        "SdkClientHandle",
+        lambda profile, **kwargs: _FakeHandle(kwargs.get("mode") or "pro", profile.profile_id),
+    )
+    reads = sdk_read_handle.ActiveProfileReadHandle(
+        profiles=_Profiles(identity=None),  # type: ignore[arg-type]
+        secrets=None,  # type: ignore[arg-type]
+        data_dir=tmp_path,
+        memory_mode=current_mode,
+    )
+
+    async def scenario():
+        client = await reads.client_for_mode("lite")
+        assert client.mode == "lite"
+        await reads.close()
+
+    asyncio.run(scenario())
+    assert callback_reads == 0
+
+
 class _FakeHandle:
     def __init__(self, mode: str, profile_id: str = "p") -> None:
         self.mode = mode
@@ -288,7 +338,7 @@ class _SdkHandle:
         return None
 
 
-async def _noop() -> None:
+async def _noop(_requires_generation: bool) -> None:
     return None
 
 
@@ -311,14 +361,14 @@ def test_a_note_in_lite_is_stored_as_raw_and_never_calls_add_extracted() -> None
     ]
 
 
-def test_a_lite_write_runs_through_the_coordinator_without_a_model(monkeypatch) -> None:
+def test_a_lite_write_ignores_the_model_sedimentation_pause(monkeypatch) -> None:
     sdk = _WritingSdk()
     coordinator = sdk_write_processor.SdkWriteCoordinator(
         profiles=_Profiles(identity=None),  # type: ignore[arg-type]
         secrets=None,  # type: ignore[arg-type]
         data_dir=None,
         transport_factory=lambda _profile: None,
-        sedimentation_enabled=lambda: True,
+        sedimentation_enabled=lambda: False,
         memory_mode=lambda: "lite",
     )
     monkeypatch.setattr(
@@ -335,6 +385,37 @@ def test_a_lite_write_runs_through_the_coordinator_without_a_model(monkeypatch)
     assert [name for name, _ in sdk.calls] == ["add"]
 
 
+def test_a_lite_write_ignores_the_model_sedimentation_switch(monkeypatch) -> None:
+    sdk = _WritingSdk()
+    coordinator = sdk_write_processor.SdkWriteCoordinator(
+        profiles=_Profiles(identity=None),  # type: ignore[arg-type]
+        secrets=None,  # type: ignore[arg-type]
+        data_dir=None,
+        transport_factory=lambda _profile: None,
+        sedimentation_enabled=lambda: False,
+        memory_mode=lambda: "lite",
+    )
+    monkeypatch.setattr(
+        sdk_write_processor, "SdkClientHandle", lambda profile, **kwargs: _SdkHandle(sdk, "lite")
+    )
+    admitted = 0
+
+    async def admit(_requires_generation: bool) -> None:
+        nonlocal admitted
+        admitted += 1
+
+    receipt = asyncio.run(
+        coordinator.process_sdk_job(
+            (_record("still stored as raw", extracted=False),),
+            request_id="r-off-lite",
+            before_hy_invocation=admit,
+        )
+    )
+    assert receipt.raw_ids == ("raw-1",)
+    assert admitted == 1
+    assert [name for name, _ in sdk.calls] == ["add"]
+
+
 def test_no_raw_is_ever_deleted_in_any_mode() -> None:
     """Owner decision: MemHub keeps every raw; there is no retention window."""
     from one_memory import sdk_memory_runtime
@@ -624,6 +705,38 @@ def test_the_scheduler_runs_each_due_user_once_in_ultra_only(tmp_path, monkeypat
     assert state.user("wife").last_result["trigger"] == "scheduled"
 
 
+def test_scheduled_evolve_obeys_the_shared_lifecycle_gate(tmp_path, monkeypatch) -> None:
+    sdk = _EvolveSdk(continuing=0)
+    state = EvolveStateStore(tmp_path)
+    state.anchor(_at(1, 12))
+    open_gate = [False]
+    service = EvolveService(
+        coordinator=_Coordinator(sdk, monkeypatch),
+        state=state,
+        memory_mode=lambda: "ultra",
+        now=lambda: _at(2, 3, 2),
+    )
+
+    async def users():
+        return ("local",)
+
+    async def scenario():
+        scheduler = EvolveScheduler(
+            service=service,
+            schedule=EvolveSchedule,
+            users_with_memories=users,
+            lifecycle_lock=asyncio.Lock(),
+            lifecycle_open=lambda: open_gate[0],
+            now=lambda: _at(2, 3, 2),
+        )
+        assert await scheduler.tick() == ()
+        assert sdk.calls == []
+        open_gate[0] = True
+        assert await scheduler.tick() == ("local",)
+
+    asyncio.run(scenario())
+
+
 def test_the_graph_backfill_runs_once_per_user(tmp_path, monkeypatch) -> None:
     sdk = _EvolveSdk()
     state = EvolveStateStore(tmp_path)
@@ -643,6 +756,63 @@ def test_the_graph_backfill_runs_once_per_user(tmp_path, monkeypatch) -> None:
     }
 
 
+def test_an_interrupted_graph_backfill_resumes_only_unfinished_users(tmp_path, monkeypatch) -> None:
+    sdk = _EvolveSdk()
+    state = EvolveStateStore(tmp_path)
+    state.set_graph_build(
+        GraphBuildState(
+            state="running",
+            started_at=_at(1, 3),
+            users={
+                "local": GraphBuildUser(state="succeeded", memories_scanned=4, nodes=4),
+                "wife": GraphBuildUser(state="running"),
+            },
+        )
+    )
+    backfill = MemoryGraphBackfill(coordinator=_Coordinator(sdk, monkeypatch), state=state)
+
+    async def scenario():
+        resumed = backfill.recover(["local", "wife"])
+        assert resumed.state == "running"
+        assert resumed.users["local"].state == "succeeded"
+        assert resumed.users["wife"].state == "pending"
+        await backfill.wait()
+
+    asyncio.run(scenario())
+    assert sdk.graph_builds == ["wife"]
+    assert state.graph_build().state == "succeeded"
+
+
+def test_graph_backfill_waits_for_embedding_maintenance_to_finish(tmp_path, monkeypatch) -> None:
+    sdk = _EvolveSdk()
+    state = EvolveStateStore(tmp_path)
+    gate = [False]
+    checked = asyncio.Event()
+
+    def lifecycle_open() -> bool:
+        checked.set()
+        return gate[0]
+
+    backfill = MemoryGraphBackfill(
+        coordinator=_Coordinator(sdk, monkeypatch),
+        state=state,
+        lifecycle_open=lifecycle_open,
+    )
+
+    async def scenario():
+        backfill.start(["local"])
+        await checked.wait()
+        assert sdk.graph_builds == []
+        assert state.graph_build().state == "running"
+        assert state.graph_build().users["local"].state == "pending"
+        gate[0] = True
+        await backfill.wait()
+
+    asyncio.run(scenario())
+    assert sdk.graph_builds == ["local"]
+    assert state.graph_build().state == "succeeded"
+
+
 # --- the HTTP surface -----------------------------------------------------------
 
 
@@ -701,23 +871,38 @@ def test_mode_api_get_put_and_its_effects(tmp_path, monkeypatch) -> None:
     async def scenario(app, sdk, client):
         current = (await client.get("/api/v1/settings/memory-mode")).json()
         assert current["mode"] == current["configured_mode"] == "pro"
+        assert current["explicitly_configured"] is False
         assert current["forced_by_env"] is False
         assert app.state.sdk_write_coordinator.memory_mode() == "pro"
+        assert (
+            await client.put("/api/v1/sedimentation", json={"enabled": False})
+        ).status_code == 200
+        from one_memory.api import _sedimentation_claim_enabled
 
+        app.state.history_import_gate_released = True
+        assert not _sedimentation_claim_enabled(app, "one-memory-manual")
+
+        app.state.config_store.set_sedimentation_enabled(False)
         lite = await client.put("/api/v1/settings/memory-mode", json={"mode": "lite"})
         assert lite.status_code == 200, lite.text
         body = lite.json()
         assert body["mode"] == "lite" and body["previous_mode"] == "pro"
+        assert body["explicitly_configured"] is True
         assert body["effects"] == ["higher_mode_memories_hidden"]
+        resume = getattr(app.state, "sedimentation_resume", None)
+        assert resume is not None
+        await asyncio.wait_for(asyncio.shield(resume), 5)
         assert app.state.sdk_write_coordinator.memory_mode() == "lite"
         assert _sdk_client_handle(app).memory_mode() == "lite"
         # lite claims queued work without a generation model.
-        from one_memory.api import _sedimentation_claim_enabled
-
         assert app.state.model_profile_store.active_identity() is None
-        app.state.history_import_gate_released = True
         assert _sedimentation_claim_enabled(app, "one-memory-manual")
 
+        monkeypatch.setattr(
+            app.state.model_profile_store,
+            "active_identity",
+            lambda: ("active-profile", 1),
+        )
         ultra = await client.put("/api/v1/settings/memory-mode", json={"mode": "ultra"})
         assert ultra.status_code == 200, ultra.text
         assert "existing_memories_added_to_graph" in ultra.json()["effects"]
@@ -741,6 +926,173 @@ def test_mode_api_get_put_and_its_effects(tmp_path, monkeypatch) -> None:
     run_app(tmp_path, monkeypatch, scenario)
 
 
+@pytest.mark.fresh_sdk
+def test_mode_plan_and_put_share_validation_and_effects(tmp_path, monkeypatch) -> None:
+    async def scenario(app, _sdk, client):
+        plan = await client.post(
+            "/api/v1/settings/memory-mode/plan",
+            json={"mode": "lite"},
+        )
+        assert plan.status_code == 200
+        body = plan.json()
+        assert body == {
+            "current": "pro",
+            "target": "lite",
+            "effective_target": "lite",
+            "capabilities": {
+                "content_plane": "raw",
+                "generation_required": False,
+                "graph_enabled": False,
+                "evolve_available": False,
+            },
+            "effects": ["higher_mode_memories_hidden"],
+            "warnings": [],
+            "blockers": [],
+        }
+        changed = await client.put("/api/v1/settings/memory-mode", json={"mode": "lite"})
+        assert changed.status_code == 200
+        assert changed.json()["effects"] == body["effects"]
+
+        missing_model = (
+            await client.post(
+                "/api/v1/settings/memory-mode/plan",
+                json={"mode": "pro"},
+            )
+        ).json()
+        assert missing_model["blockers"] == ["active_model_required"]
+        assert missing_model["effects"] == []
+        refused = await client.put("/api/v1/settings/memory-mode", json={"mode": "pro"})
+        assert refused.status_code == 409
+        assert refused.json()["detail"] == missing_model["blockers"][0]
+
+        monkeypatch.setenv("ONE_MEMORY_GRAPH_STORE", "kuzu")
+        forced = (
+            await client.post(
+                "/api/v1/settings/memory-mode/plan",
+                json={"mode": "lite"},
+            )
+        ).json()
+        assert forced["effective_target"] == "ultra"
+        assert forced["warnings"] == ["forced_by_env", "effective_no_change"]
+
+    run_app(tmp_path, monkeypatch, scenario)
+
+
+@pytest.mark.fresh_sdk
+def test_mode_plan_reports_all_blockers_without_planned_effects(tmp_path, monkeypatch) -> None:
+    async def scenario(app, _sdk, client):
+        changed = await client.put("/api/v1/settings/memory-mode", json={"mode": "lite"})
+        assert changed.status_code == 200
+        switch = app.state.embedding_switch
+        switch._scan_hold = True
+        hold = asyncio.Event()
+        task = asyncio.create_task(hold.wait())
+        app.state.memory_graph_backfill._task = task
+        monkeypatch.setattr("one_memory.api.importlib.util.find_spec", lambda _name: None)
+        try:
+            plan = (
+                await client.post(
+                    "/api/v1/settings/memory-mode/plan",
+                    json={"mode": "ultra"},
+                )
+            ).json()
+            assert plan["blockers"] == [
+                "embedding_maintenance_in_progress",
+                "active_model_required",
+                "memory_lifecycle_busy",
+                "graph_store_unavailable",
+            ]
+            assert plan["effects"] == []
+        finally:
+            switch._scan_hold = False
+            task.cancel()
+            await asyncio.gather(task, return_exceptions=True)
+            app.state.memory_graph_backfill._task = None
+
+    run_app(tmp_path, monkeypatch, scenario)
+
+
+@pytest.mark.fresh_sdk
+def test_lite_startup_readmits_jobs_while_model_sedimentation_is_off(tmp_path, monkeypatch) -> None:
+    store = ConfigStore(tmp_path / "data")
+    store.set_memory_mode("lite")
+    store.set_sedimentation_enabled(False)
+    resumed = asyncio.Event()
+    original = SdkMemoryRuntime.resume_allowed
+
+    async def resume_allowed(runtime):
+        await original(runtime)
+        resumed.set()
+
+    monkeypatch.setattr(SdkMemoryRuntime, "resume_allowed", resume_allowed)
+
+    async def scenario(app, _sdk, _client):
+        await asyncio.wait_for(resumed.wait(), 5)
+        assert app.state.config_store.sedimentation_enabled() is False
+        assert app.state.config_store.memory_mode() == "lite"
+
+    run_app(tmp_path, monkeypatch, scenario)
+
+
+@pytest.mark.fresh_sdk
+def test_embedding_maintenance_blocks_mode_put_and_evolve_but_not_mode_get(
+    tmp_path, monkeypatch
+) -> None:
+    async def scenario(app, _sdk, client):
+        switch = app.state.embedding_switch
+
+        switch._scan_hold = True
+        current = await client.get("/api/v1/settings/memory-mode")
+        assert current.status_code == 200
+        assert current.json()["explicitly_configured"] is False
+        for response in (
+            await client.put("/api/v1/settings/memory-mode", json={"mode": "pro"}),
+            await client.post("/api/v2/evolve", json={}),
+        ):
+            assert response.status_code == 409
+            assert response.json()["detail"] == "embedding_maintenance_in_progress"
+        assert app.state.config_store.memory_mode_explicitly_configured() is False
+
+        switch._scan_hold = False
+        switch._open_cache = True
+        assert (await client.get("/api/v1/settings/memory-mode")).status_code == 200
+        for response in (
+            await client.put("/api/v1/settings/memory-mode", json={"mode": "lite"}),
+            await client.post("/api/v2/evolve", json={}),
+        ):
+            assert response.status_code == 409
+            assert response.json()["detail"] == "embedding_maintenance_in_progress"
+
+        switch._open_cache = False
+        explicitly_pro = await client.put("/api/v1/settings/memory-mode", json={"mode": "pro"})
+        assert explicitly_pro.status_code == 200
+        assert explicitly_pro.json()["explicitly_configured"] is True
+        assert explicitly_pro.json()["effects"] == []
+
+    run_app(tmp_path, monkeypatch, scenario)
+
+
+@pytest.mark.fresh_sdk
+def test_graph_backfill_blocks_mode_change_and_manual_evolve(tmp_path, monkeypatch) -> None:
+    async def scenario(app, _sdk, client):
+        hold = asyncio.Event()
+        task = asyncio.create_task(hold.wait())
+        app.state.memory_graph_backfill._task = task
+        try:
+            for response in (
+                await client.put("/api/v1/settings/memory-mode", json={"mode": "lite"}),
+                await client.post("/api/v2/evolve", json={}),
+            ):
+                assert response.status_code == 409
+                assert response.json()["detail"] == "memory_lifecycle_busy"
+        finally:
+            task.cancel()
+            await asyncio.gather(task, return_exceptions=True)
+            app.state.memory_graph_backfill._task = None
+
+    run_app(tmp_path, monkeypatch, scenario)
+
+
 @pytest.mark.fresh_sdk
 def test_evolve_api_is_ultra_only_async_and_scoped_per_user(tmp_path, monkeypatch) -> None:
     async def scenario(app, sdk, client):
@@ -748,7 +1100,13 @@ def test_evolve_api_is_ultra_only_async_and_scoped_per_user(tmp_path, monkeypatc
         assert refused.status_code == 409
         assert refused.json()["detail"] == "memory_mode_not_ultra"
 
-        await client.put("/api/v1/settings/memory-mode", json={"mode": "ultra"})
+        monkeypatch.setattr(
+            app.state.model_profile_store,
+            "active_identity",
+            lambda: ("active-profile", 1),
+        )
+        changed = await client.put("/api/v1/settings/memory-mode", json={"mode": "ultra"})
+        assert changed.status_code == 200, changed.text
         await app.state.memory_graph_backfill.wait()
         started = await client.post(
             "/api/v2/evolve", json={"user_id": "wife", "agent_id": "all-apps", "max_batches": 2}
@@ -865,3 +1223,87 @@ def test_a_job_written_in_lite_stays_done_and_a_pending_job_takes_the_new_mode(
         await coordinator.close()
 
     run_app(tmp_path, monkeypatch, scenario)
+
+
+@pytest.mark.fresh_sdk
+def test_paused_model_still_writes_a_lite_job_through_the_durable_boundary(
+    tmp_path, monkeypatch
+) -> None:
+    from one_memory.api import _admit_pipeline_invocation
+    from one_memory.memory_server.durable_queue import DurableWriteDrain, execute_job
+
+    seen: list[str] = []
+
+    class Sdk:
+        mode = "lite"
+
+        def add(self, messages, **kwargs):
+            seen.append("add")
+            return {"success": True, "raw_ids": ["raw-lite"]}
+
+        def add_extracted(self, contents, **kwargs):
+            seen.append("add_extracted")
+            raise AssertionError("lite must never call add_extracted")
+
+    monkeypatch.setattr(
+        sdk_write_processor,
+        "SdkClientHandle",
+        lambda profile, **kwargs: _SdkHandle(Sdk(), "lite"),
+    )
+    coordinator = sdk_write_processor.SdkWriteCoordinator(
+        profiles=_Profiles(identity=None),  # type: ignore[arg-type]
+        secrets=None,  # type: ignore[arg-type]
+        data_dir=None,
+        transport_factory=lambda _profile: None,
+        sedimentation_enabled=lambda: False,
+        memory_mode=lambda: "lite",
+    )
+
+    async def never(_job_id):
+        return None
+
+    async def scenario(app, _sdk, client):
+        app.state.memory_write_drain.stop()
+        if app.state.memory_write_drain_task is not None:
+            await app.state.memory_write_drain_task
+            app.state.memory_write_drain_task = None
+        await client.put("/api/v1/sedimentation", json={"enabled": False})
+        await client.put("/api/v1/settings/memory-mode", json={"mode": "lite"})
+        app.state.history_import_gate_released = True
+        written = await client.post(
+            "/api/v2/memory-writes",
+            json={
+                "request_id": "paused-lite-turn",
+                "session_id": "paused-lite-session",
+                "source_id": "one-memory-manual",
+                "messages": [
+                    {"role": "user", "content": "保留原始会话"},
+                    {"role": "assistant", "content": "已保留"},
+                ],
+            },
+        )
+        assert written.status_code == 202
+        queue = app.state.memory_write_queue
+        drain = DurableWriteDrain(queue, execute=never, lease=timedelta(seconds=30))
+        [job_id] = drain.claim(limit=1)
+        await execute_job(
+            job_id,
+            queue=queue,
+            supervisor=coordinator,
+            evidence=None,  # type: ignore[arg-type]
+            admit_hy_invocation=lambda source_id, requires_generation, mark: (
+                _admit_pipeline_invocation(
+                    app,
+                    source_id,
+                    requires_generation,
+                    mark,
+                )
+            ),
+        )
+        current = queue.get("paused-lite-turn")
+        assert current is not None and current.state == "completed"
+        assert current.sdk_raw_ids == ("raw-lite",)
+        assert seen == ["add"]
+        await coordinator.close()
+
+    run_app(tmp_path, monkeypatch, scenario)

memhub/apps/core/tests/test_memory_server_durable_queue.py

@@ -832,7 +832,7 @@ class _Recorder:
     async def process_sdk_job(self, records, **_kwargs):
         self.seen.append(tuple(record.evidence_id for record in records))
         if self.invoke_hy:
-            await _kwargs["before_hy_invocation"]()
+            await _kwargs["before_hy_invocation"](True)
         if self.error is not None:
             raise self.error
         return type("Receipt", (), {"raw_ids": (), "memory_ids": ()})()
@@ -844,10 +844,10 @@ class _TwoInvocationRecorder:
         self.invocations = 0
 
     async def process_sdk_job(self, _records, **kwargs):
-        await kwargs["before_hy_invocation"]()
+        await kwargs["before_hy_invocation"](True)
         self.invocations += 1
         self.pause_after_first()
-        await kwargs["before_hy_invocation"]()
+        await kwargs["before_hy_invocation"](True)
         self.invocations += 1
         return type("Receipt", (), {"raw_ids": (), "memory_ids": ()})()
 
@@ -916,7 +916,7 @@ def test_execute_job_persists_sdk_ids_returned_after_the_single_add(tmp_path) ->
         @classmethod
         async def process_sdk_job(cls, _records, **kwargs):
             cls.calls += 1
-            await kwargs["before_hy_invocation"]()
+            await kwargs["before_hy_invocation"](True)
             return type(
                 "Result",
                 (),
@@ -1045,7 +1045,7 @@ def test_sdk_write_processor_calls_add_once_with_public_scope_and_receipt() -> N
     )
 
     async def run() -> SdkWriteReceipt:
-        async def before() -> None:
+        async def before(_requires_generation: bool) -> None:
             client.events.append("before")
 
         return await processor.process_sdk_job(
@@ -1105,7 +1105,7 @@ def test_sdk_write_processor_uses_add_extracted_for_memory_content_and_additions
     processor = SdkWriteProcessor(_SdkPublicHandle(client))  # type: ignore[arg-type]
 
     async def run() -> SdkWriteReceipt:
-        async def before() -> None:
+        async def before(_requires_generation: bool) -> None:
             client.events.append("before")
 
         return await processor.process_sdk_job(
@@ -1260,7 +1260,7 @@ def test_a_profile_change_does_not_close_the_client_of_a_write_in_flight(monkeyp
 
     async def process(self, records, *, request_id, before_hy_invocation):
         client = await self._client_handle.client()
-        await before_hy_invocation()
+        await before_hy_invocation(getattr(client, "mode", None) != "lite")
         seen.append((client.profile_id, client.closed))
         if client.profile_id == "profile-a":
             await writing.wait()
@@ -1270,7 +1270,7 @@ def test_a_profile_change_does_not_close_the_client_of_a_write_in_flight(monkeyp
 
     monkeypatch.setattr(sdk_write_processor.SdkWriteProcessor, "process_sdk_job", process)
 
-    async def noop():
+    async def noop(_requires_generation: bool):
         return None
 
     async def scenario():
@@ -1728,7 +1728,7 @@ def test_a_failed_job_logs_where_it_failed_but_never_the_message(tmp_path, caplo
 
     class _Failing:
         async def process_sdk_job(self, _records, **kwargs):
-            await kwargs["before_hy_invocation"]()
+            await kwargs["before_hy_invocation"](True)
             try:
                 closed_store(type("Client", (), {"private_store_name": None})())
             except AttributeError as error:
@@ -4138,6 +4138,71 @@ def test_a_failing_renewal_does_not_kill_the_drain(tmp_path) -> None:
     assert queue.get("idem-1").state == COMPLETED
 
 
+def test_a_locked_fallback_settlement_does_not_kill_the_drain(tmp_path, monkeypatch) -> None:
+    """The incident shape: executor and its fallback both lose the writer.
+
+    The first row keeps its lease for normal reclaim; an unrelated row must
+    still run instead of being stranded behind a dead drain task.
+    """
+    queue = DurableWriteQueue(tmp_path / "one-memory.sqlite3")
+    first = queue.submit(_request(key="first", source="cursor"))
+    second = queue.submit(_request(key="second", source="codex"))
+    executed: list[str] = []
+
+    async def execute(job_id: str) -> None:
+        executed.append(job_id)
+        if job_id == first.job_id:
+            raise RuntimeError("executor failed")
+        queue.settle(job_id, state=COMPLETED)
+        drain.stop()
+
+    drain = DurableWriteDrain(queue, execute=execute, max_concurrent_sources=1)
+
+    def locked_settlement(*_args, **_kwargs):
+        raise sqlite3.OperationalError("database is locked")
+
+    monkeypatch.setattr(queue, "settle_worker_error", locked_settlement)
+
+    asyncio.run(asyncio.wait_for(drain.run_forever(idle_pause=0.005), 1))
+
+    assert executed == [first.job_id, second.job_id]
+    assert queue.get("first").state == RUNNING
+    assert queue.get("second").state == COMPLETED
+
+
+def test_an_unexpected_job_task_failure_is_contained_by_the_drain(
+    tmp_path, monkeypatch, caplog
+) -> None:
+    """A programming error stays visible without taking down the consumer."""
+    queue = DurableWriteQueue(tmp_path / "one-memory.sqlite3")
+    first = queue.submit(_request(key="first", source="cursor"))
+    second = queue.submit(_request(key="second", source="codex"))
+    executed: list[str] = []
+
+    async def run_job(job_id: str) -> None:
+        executed.append(job_id)
+        if job_id == first.job_id:
+            raise RuntimeError("unexpected job task failure")
+        drain.stop()
+
+    drain = DurableWriteDrain(
+        queue,
+        execute=_never_execute,
+        max_concurrent_sources=1,
+    )
+    monkeypatch.setattr(drain, "_run_claimed_job", run_job)
+
+    with caplog.at_level(logging.ERROR, logger="one_memory.memory_server.durable_queue"):
+        asyncio.run(asyncio.wait_for(drain.run_forever(idle_pause=0.005), 1))
+
+    assert executed == [first.job_id, second.job_id]
+    assert any(
+        "durable_write_drain_job_task_failed" in message.getMessage()
+        and "error_type=RuntimeError" in message.getMessage()
+        for message in caplog.records
+    )
+
+
 @pytest.mark.parametrize("terminal", [COMPLETED, FAILED, DEAD])
 def test_a_terminal_row_is_sticky_against_a_late_settle(tmp_path, terminal: str) -> None:
     """A late settle must not overwrite an outcome that already happened.
@@ -4758,7 +4823,7 @@ def test_sedimentation_pause_releases_claim_without_spending_an_attempt(tmp_path
     drain = DurableWriteDrain(queue, execute=_never_execute, owner="pause-owner")
     assert drain.claim(limit=1) == (record.job_id,)
 
-    async def refuse_before_hy(_source_id, _mark_invoked):
+    async def refuse_before_hy(_source_id, _requires_generation, _mark_invoked):
         raise RuntimeError("model_sedimentation_disabled")
 
     asyncio.run(
@@ -4980,6 +5045,27 @@ def test_permanent_renewal_error_stops_the_worker(tmp_path, monkeypatch) -> None
         asyncio.run(drain.run_one())
 
 
+def test_permanent_renewal_error_stops_the_long_lived_drain(tmp_path, monkeypatch) -> None:
+    queue = DurableWriteQueue(tmp_path / "one-memory.sqlite3")
+    queue.submit(_request())
+    drain = DurableWriteDrain(
+        queue,
+        execute=lambda _job_id: asyncio.sleep(0.03),
+        lease=timedelta(seconds=1),
+        renew_every=timedelta(milliseconds=10),
+    )
+    monkeypatch.setattr(
+        drain,
+        "renew",
+        lambda *_args, **_kwargs: (_ for _ in ()).throw(
+            sqlite3.OperationalError("database schema is corrupt")
+        ),
+    )
+
+    with pytest.raises(RuntimeError):
+        asyncio.run(asyncio.wait_for(drain.run_forever(idle_pause=0.005), 1))
+
+
 def test_lost_renewal_waits_for_execution_before_releasing_source(tmp_path, monkeypatch) -> None:
     path = tmp_path / "one-memory.sqlite3"
     queue = DurableWriteQueue(path)

memhub/apps/core/tests/test_memory_server_migrations.py

@@ -17,6 +17,7 @@ from one_memory.memory_server.migration_runner import (
     InMemoryMigrationStore,
     MigrationResult,
     MigrationSchemaMismatchError,
+    SqliteMigrationStore,
     ledger_sql,
     migrate,
 )
@@ -138,6 +139,76 @@ def test_sdk_write_receipts_are_owned_by_migration_56() -> None:
         assert "CREATE TABLE IF NOT EXISTS memory_task_sdk_receipts" in ddl
 
 
+def test_onboarding_progress_migrates_old_sqlite_columns_in_append_order(tmp_path) -> None:
+    path = tmp_path / "old-onboarding.sqlite3"
+    with sqlite3.connect(path) as database:
+        database.execute(
+            """
+            CREATE TABLE onboarding_state (
+                singleton INTEGER PRIMARY KEY CHECK (singleton = 1),
+                status TEXT NOT NULL,
+                selected_source_ids_json TEXT NOT NULL,
+                started_at TEXT,
+                completed_at TEXT,
+                updated_at TEXT NOT NULL
+            )
+            """
+        )
+        database.execute(
+            "INSERT INTO onboarding_state VALUES "
+            "(1,'importing','[\"cursor\"]',NULL,NULL,'2026-11-04T00:00:00+00:00')"
+        )
+
+    migration = next(item for item in MIGRATIONS if item.version == 62)
+    result = asyncio.run(migrate(SqliteMigrationStore(path), (migration,)))
+
+    assert result.applied == (62,)
+    with sqlite3.connect(path) as database:
+        columns = [str(row[1]) for row in database.execute("PRAGMA table_info(onboarding_state)")]
+        row = database.execute(
+            "SELECT mode_intent, setup_step, model_profile_id FROM onboarding_state"
+        ).fetchone()
+    assert columns == [
+        "singleton",
+        "status",
+        "selected_source_ids_json",
+        "started_at",
+        "completed_at",
+        "updated_at",
+        "mode_intent",
+        "setup_step",
+        "model_profile_id",
+    ]
+    assert row == (None, None, None)
+
+
+def test_onboarding_progress_mysql_retries_each_duplicate_column() -> None:
+    class DuplicateColumnError(Exception):
+        pass
+
+    class Cursor:
+        dialect = "mysql"
+
+        def __init__(self) -> None:
+            self.attempted: list[str] = []
+            self.applied: list[str] = []
+
+        async def execute(self, statement: str) -> None:
+            self.attempted.append(statement)
+            if "ADD COLUMN mode_intent" in statement or "ADD COLUMN setup_step" in statement:
+                raise DuplicateColumnError(1060, "duplicate column")
+            self.applied.append(statement)
+
+    cursor = Cursor()
+    migration = next(item for item in MIGRATIONS if item.version == 62)
+
+    asyncio.run(migration.apply(cursor))
+
+    assert len(cursor.attempted) == 3
+    assert len(cursor.applied) == 1
+    assert "model_profile_id" in cursor.applied[0]
+
+
 def test_sdk_matter_references_are_owned_by_migration_57() -> None:
     from one_memory.memory_server.migrations import MIGRATIONS, sdk_matter_references_ddl
 

memhub/apps/core/tests/test_memory_server_unified_entry.py

@@ -259,7 +259,7 @@ def test_old_branch_job_executes_its_frozen_revision_after_harness_rewind(tmp_pa
         ):
             assert request_id == old_job.request_id
             captured.extend(records)
-            await before_hy_invocation()
+            await before_hy_invocation(True)
             return SimpleNamespace(raw_ids=(), memory_ids=())
 
     asyncio.run(

memhub/apps/core/tests/test_model_backoff.py

@@ -14,6 +14,13 @@ from pydantic import SecretStr
 
 from one_memory.api import create_app
 from one_memory.config import Settings
+from one_memory.imports.models import (
+    EvidenceInput,
+    EvidenceOrigin,
+    OriginMetadata,
+    WrittenBy,
+    materialize_write_input,
+)
 from one_memory.memory_server.contracts import BatchIdentity, WriteRequest
 from one_memory.memory_server.durable_queue import (
     FAILED,
@@ -29,6 +36,7 @@ from one_memory.model_backoff import (
     ModelBackoffRefusal,
     backoff_seconds,
 )
+from one_memory.sdk_write_processor import SdkWriteProcessor, sdk_write_failure_code
 from one_memory.secrets import InMemorySecretStore
 
 CHAT = "https://models.example.com/v1/chat/completions"
@@ -176,6 +184,17 @@ def test_a_working_embedding_endpoint_does_not_clear_a_broken_chat_model() -> No
     assert backoff.paused()
 
 
+def test_claim_allowance_can_pace_embedding_without_pausing_lite_for_chat() -> None:
+    backoff = ModelBackoff(clock=_Clock())
+    backoff.record_failure("model_not_found", "p:1", "chat")
+    assert backoff.allowance(kind="embedding") is None
+    assert backoff.allowance(kind="chat") == 0
+
+    backoff.reset()
+    backoff.record_failure("embedding_service_failed", "p:1", "embedding")
+    assert backoff.allowance(kind="embedding") == 0
+
+
 def test_an_unreachable_provider_is_paused_like_a_refusing_one() -> None:
     clock = _Clock()
     backoff = ModelBackoff(clock=clock)
@@ -302,7 +321,7 @@ class _FakeSdk:
         self.fail_with: str | None = None
 
     async def process_sdk_job(self, records, *, request_id, before_hy_invocation):
-        await before_hy_invocation()
+        await before_hy_invocation(True)
         self.request_ids.append(request_id)
         if request_id in self.outcomes:
             if self.outcomes[request_id] == "failed":
@@ -605,3 +624,252 @@ def test_the_manual_retry_endpoint_is_gone(tmp_path) -> None:
             return response.status_code
 
     assert asyncio.run(scenario()) in {404, 405}
+
+
+# --- hy-memory 2.0.13: a model failure is `success: false`, never a silent success ---
+
+
+class _Sdk2013Client:
+    """`HyMemoryClient.add` as hy-memory 2.0.13 answers it.
+
+    Each write makes one model call through MemHub's transport, so the
+    breaker sees what the provider answered. The SDK turns a failed or
+    unusable model reply into `success: false` with its stable codes; the
+    shape of those results is the SDK's own (`_mark_reconcile_failure`,
+    `CodingWriter`).
+    """
+
+    def __init__(self, transport: BackedOffModelTransport) -> None:
+        self.transport = transport
+        self.reply = "[]"
+        self.messages: list[list[dict[str, str]]] = []
+
+    def add(self, messages, **_kwargs):
+        self.messages.append(messages)
+        coding = any(message["role"] == "tool" for message in messages)
+        try:
+            response = asyncio.run(self.transport.handle_async_request(httpx.Request("POST", CHAT)))
+        except httpx.TransportError:
+            return self._failed(coding, "LLM_UNAVAILABLE", "LLM_ERROR")
+        if response.status_code >= 400:
+            return self._failed(coding, "LLM_UNAVAILABLE", "LLM_ERROR")
+        if not self.reply:
+            return self._failed(coding, "EMPTY_RESPONSE", "EMPTY_RESPONSE")
+        if not self.reply.startswith("["):
+            return self._failed(coding, "JSON_PARSE_FAILED", "JSON_PARSE_FAILED")
+        return {"success": True, "memory_ids": ["m-1"]}
+
+    @staticmethod
+    def _failed(coding: bool, reconcile_cause: str, coding_code: str) -> dict[str, object]:
+        if coding:
+            return {"success": False, "agent_error_code": coding_code}
+        return {
+            "success": False,
+            "error_code": 502,
+            "agent_error_code": "RECONCILE_FAILED",
+            "reconcile_error_code": reconcile_cause,
+        }
+
+
+class _Sdk2013Handle:
+    mode = "pro"
+
+    def __init__(self, client: _Sdk2013Client) -> None:
+        self.sdk = client
+
+    async def client(self) -> _Sdk2013Client:
+        return self.sdk
+
+
+class _Sdk2013Supervisor:
+    def __init__(self, client: _Sdk2013Client) -> None:
+        self.processor = SdkWriteProcessor(_Sdk2013Handle(client))  # type: ignore[arg-type]
+
+    async def process_sdk_job(self, records, *, request_id, before_hy_invocation):
+        return await self.processor.process_sdk_job(
+            records, request_id=request_id, before_hy_invocation=before_hy_invocation
+        )
+
+    async def inquire_write_outcome(self, _request_id):
+        return None
+
+
+class _Turns:
+    """Evidence for one conversation batch: a chat turn, or a coding turn with tools."""
+
+    def __init__(self, roles: tuple[str, ...]) -> None:
+        self.records = {
+            f"e-{index}": materialize_write_input(
+                EvidenceInput(
+                    user_id="local",
+                    source_id="cursor",
+                    conversation_id="sess-1",
+                    message_id=f"msg-{index}",
+                    role=role,
+                    written_by=WrittenBy.PERSON,
+                    created_at=datetime(2026, 10, 1, tzinfo=UTC),
+                    verbatim=f"{role} says something worth keeping ({index})",
+                    origin_meta={EvidenceOrigin.FILE: OriginMetadata()},
+                )
+            )
+            for index, role in enumerate(roles)
+        }
+
+    def get(self, evidence_id: str):
+        return self.records[evidence_id]
+
+    def request(self) -> WriteRequest:
+        return WriteRequest(
+            internal_session_id="sess-1",
+            batch_identity=BatchIdentity(internal_session_id="sess-1", first_round=1, last_round=1),
+            evidence_ids=list(self.records),
+            idempotency_key="idem-000",
+            source_id="cursor",
+        )
+
+
+def _outage_then_recovery(tmp_path, roles: tuple[str, ...], failure) -> tuple[list, list]:
+    clock = _Clock()
+    backoff = ModelBackoff(clock=clock)
+    calls: list[float] = []
+
+    def provider(request: httpx.Request) -> httpx.Response:
+        calls.append(clock.now)
+        if clock.now < 60.0:
+            return failure(request)
+        return httpx.Response(200)
+
+    client = _Sdk2013Client(
+        BackedOffModelTransport(backoff, profile_id="p:1", inner=httpx.MockTransport(provider))
+    )
+    turns = _Turns(roles)
+    path = tmp_path / "one-memory.sqlite3"
+    queue = DurableWriteQueue(path)
+    queue.submit(turns.request())
+    drain = DurableWriteDrain(
+        queue, execute=_never_execute, owner="outage", model_claim_allowance=backoff.allowance
+    )
+    seen: list[tuple[str, int, int, str | None]] = []
+    for second in range(120):
+        clock.now = float(second)
+        for job_id in drain.claim(limit=1):
+            asyncio.run(
+                execute_job(
+                    job_id,
+                    queue=queue,
+                    supervisor=_Sdk2013Supervisor(client),
+                    evidence=turns,
+                    owner="outage",
+                    model_failures=backoff.attempt,
+                )
+            )
+            seen.append(_jobs(path)[0][1:])
+    assert all(len(sent) == len(roles) for sent in client.messages)
+    return calls, seen
+
+
+def _timeout(request: httpx.Request) -> httpx.Response:
+    raise httpx.ReadTimeout("provider timed out", request=request)
+
+
+@pytest.mark.parametrize(
+    ("failure", "code"),
+    [
+        (lambda _request: httpx.Response(401), "model_auth_failed"),
+        (lambda _request: httpx.Response(503), "model_server_error"),
+        (_timeout, "model_timeout"),
+    ],
+    ids=["401", "503", "timeout"],
+)
+def test_a_reconcile_model_failure_waits_for_the_provider_and_completes_after_it(
+    tmp_path, failure, code
+) -> None:
+    """hy-memory 2.0.13 fails the write when reconcile cannot reach its model.
+
+    The breaker saw the provider fail, so the job waits in place without
+    spending a retry, is tried once per pause, and lands after recovery.
+    """
+    calls, seen = _outage_then_recovery(tmp_path, ("user", "assistant"), failure)
+    assert calls == [0.0, 5.0, 15.0, 35.0, 75.0]
+    assert seen[:-1] == [("pending", attempt, 0, code) for attempt in range(1, 5)]
+    assert seen[-1] == ("completed", 4, 0, None)
+
+
+def test_a_coding_batch_whose_extractor_fails_at_the_provider_waits_like_chat(tmp_path) -> None:
+    """Tool turns go down the SDK's coding path; its `LLM_ERROR` waits the same way."""
+    calls, seen = _outage_then_recovery(
+        tmp_path, ("user", "assistant", "tool", "assistant"), lambda _request: httpx.Response(502)
+    )
+    assert calls == [0.0, 5.0, 15.0, 35.0, 75.0]
+    assert seen[:-1] == [("pending", attempt, 0, "model_server_error") for attempt in range(1, 5)]
+    assert seen[-1] == ("completed", 4, 0, None)
+
+
+@pytest.mark.parametrize(
+    ("reply", "code"),
+    [
+        ("", "hy_sdk_reconcile_empty_response"),
+        ("I am not sure what you mean.", "hy_sdk_reconcile_json_parse_failed"),
+    ],
+    ids=["empty", "unparseable"],
+)
+def test_a_reconcile_reply_the_sdk_cannot_use_is_retried_then_failed_with_its_cause(
+    tmp_path, reply, code
+) -> None:
+    """HTTP 200 with nothing usable is not a provider failure: 3 retries, then `failed`.
+
+    The job's `error_code` names the SDK's cause instead of a bare
+    `hy_sdk_write_failed`, and the provider is never paused.
+    """
+    backoff = ModelBackoff(clock=_Clock())
+    client = _Sdk2013Client(
+        BackedOffModelTransport(
+            backoff, profile_id="p:1", inner=httpx.MockTransport(lambda _r: httpx.Response(200))
+        )
+    )
+    client.reply = reply
+    turns = _Turns(("user", "assistant"))
+    path = tmp_path / "one-memory.sqlite3"
+    queue = DurableWriteQueue(path)
+    queue.submit(turns.request())
+    drain = DurableWriteDrain(queue, execute=_never_execute, owner="bad-reply")
+    now = datetime.now(UTC)
+    for offset in (0, 40, 150, 400):
+        for job_id in drain.claim(limit=1, now=now + timedelta(seconds=offset)):
+            asyncio.run(
+                execute_job(
+                    job_id,
+                    queue=queue,
+                    supervisor=_Sdk2013Supervisor(client),
+                    evidence=turns,
+                    owner="bad-reply",
+                    model_failures=backoff.attempt,
+                )
+            )
+    assert _jobs(path)[0][1:] == ("failed", 3, 3, code)
+    assert queue.get("idem-000").error_code == code
+    assert len(client.messages) == 4
+    assert backoff.allowance() is None
+
+
+@pytest.mark.parametrize(
+    ("result", "code"),
+    [
+        (
+            {"agent_error_code": "RECONCILE_FAILED", "reconcile_error_code": "LLM_UNAVAILABLE"},
+            "hy_sdk_reconcile_llm_unavailable",
+        ),
+        (
+            {"agent_error_code": "RECONCILE_FAILED", "reconcile_error_code": "RECONCILE_EXCEPTION"},
+            "hy_sdk_reconcile_exception",
+        ),
+        ({"agent_error_code": "RECONCILE_FAILED"}, "hy_sdk_reconcile_failed"),
+        ({"agent_error_code": "EMBEDDING_FAILED"}, "hy_sdk_embedding_failed"),
+        ({"agent_error_code": "JSON_PARSE_FAILED"}, "hy_sdk_json_parse_failed"),
+        ({"agent_error_code": "provider said: bad key sk-123"}, "hy_sdk_write_failed"),
+        ({"agent_error_code": 502}, "hy_sdk_write_failed"),
+        ({}, "hy_sdk_write_failed"),
+    ],
+)
+def test_a_failed_sdk_write_keeps_only_the_sdks_stable_code(result, code) -> None:
+    assert sdk_write_failure_code({"success": False, **result}) == code

memhub/apps/core/tests/test_model_profiles.py

@@ -35,6 +35,12 @@ def test_profile_uses_one_model_and_keeps_key_out_of_database(tmp_path) -> None:
     )
 
     assert profile.has_api_key is True
+    assert profile.embedding_provider_kind is ProviderKind.LOCAL_ONNX
+    assert profile.embedding_model == "bge-small-zh-v1.5"
+    assert profile.embedding_dimensions == 512
+    assert profile.timeout_seconds == 240
+    assert profile.max_concurrency == 4
+    assert profile.context_window is None
     assert "api_key" not in profile.model_dump()
     assert API_KEY.encode() not in database.read_bytes()
     assert secrets.resolve(store.secret_ref(profile.profile_id) or "") == API_KEY

memhub/apps/core/tests/test_onboarding_profile.py

@@ -1,13 +1,17 @@
 """Onboarding endpoints manage UI state without touching SDK memory."""
 
 import asyncio
+import sqlite3
+from datetime import UTC, datetime
 from pathlib import Path
 
+import pytest
 from httpx import ASGITransport, AsyncClient
 from pydantic import SecretStr
 
 from one_memory.api import create_app
 from one_memory.config import Settings
+from one_memory.onboarding import OnboardingStore
 
 
 def _app(tmp_path: Path):
@@ -63,13 +67,29 @@ def test_reset_returns_to_first_run_without_touching_sdk_data(tmp_path: Path) ->
             sdk_marker = tmp_path / "data" / "hy-memory" / "governed-v2" / "memory.marker"
             sdk_marker.parent.mkdir(parents=True, exist_ok=True)
             sdk_marker.write_text("keep-sdk-memory", encoding="utf-8")
+            progress = await client.patch(
+                "/api/v1/onboarding/progress",
+                json={
+                    "mode_intent": "pro",
+                    "setup_step": "model",
+                    "model_profile_id": "9be6d465-4cf2-4c72-93f7-15f3c012bc80",
+                },
+            )
+            assert progress.status_code == 200
 
-            assert (await client.post("/api/v1/onboarding/complete")).status_code == 200
+            completed = await client.post("/api/v1/onboarding/complete")
+            assert completed.status_code == 200
+            assert completed.json()["mode_intent"] is None
+            assert completed.json()["setup_step"] is None
+            assert completed.json()["model_profile_id"] is None
             reset = await client.post("/api/v1/onboarding/reset")
 
             assert reset.status_code == 200
             assert reset.json()["status"] == "not_started"
             assert reset.json()["completed_at"] is None
+            assert reset.json()["mode_intent"] is None
+            assert reset.json()["setup_step"] is None
+            assert reset.json()["model_profile_id"] is None
             assert (await client.get("/api/v1/onboarding")).json()["status"] == "not_started"
             assert sdk_marker.read_text(encoding="utf-8") == "keep-sdk-memory"
 
@@ -92,6 +112,7 @@ def test_sdk_unavailability_cannot_block_onboarding_completion(tmp_path: Path) -
     async def scenario() -> None:
         app = _app(tmp_path)
         async with app.router.lifespan_context(app), _client(app) as client:
+
             async def unavailable() -> dict[str, object]:
                 raise RuntimeError("hy_sdk_unavailable")
 
@@ -102,3 +123,197 @@ def test_sdk_unavailability_cannot_block_onboarding_completion(tmp_path: Path) -
             assert finished.json()["status"] == "completed"
 
     asyncio.run(scenario())
+
+
+def test_progress_patch_and_put_round_trip_only_resumable_choices(tmp_path: Path) -> None:
+    async def scenario() -> None:
+        app = _app(tmp_path)
+        async with app.router.lifespan_context(app), _client(app) as client:
+            patched = await client.patch(
+                "/api/v1/onboarding/progress",
+                json={"mode_intent": "pro", "setup_step": "mode"},
+            )
+            assert patched.status_code == 200
+            assert patched.json()["mode_intent"] == "pro"
+            assert patched.json()["setup_step"] == "mode"
+            assert patched.json()["model_profile_id"] is None
+
+            profile_id = "9be6d465-4cf2-4c72-93f7-15f3c012bc80"
+            replaced = await client.put(
+                "/api/v1/onboarding/progress",
+                json={"setup_step": "model", "model_profile_id": profile_id},
+            )
+            assert replaced.status_code == 200
+            assert replaced.json()["mode_intent"] == "pro"
+            assert replaced.json()["setup_step"] == "model"
+            assert replaced.json()["model_profile_id"] == profile_id
+            assert (await client.get("/api/v1/onboarding")).json() == replaced.json()
+
+    asyncio.run(scenario())
+
+
+def test_progress_rejects_unknown_or_invalid_fields(tmp_path: Path) -> None:
+    async def scenario() -> None:
+        app = _app(tmp_path)
+        async with app.router.lifespan_context(app), _client(app) as client:
+            secret = await client.patch(
+                "/api/v1/onboarding/progress",
+                json={"mode_intent": "lite", "api_key": "must-not-be-stored"},
+            )
+            invalid_id = await client.put(
+                "/api/v1/onboarding/progress",
+                json={"model_profile_id": "not-a-profile-id"},
+            )
+            invalid_mode = await client.patch(
+                "/api/v1/onboarding/progress",
+                json={"mode_intent": "ultra"},
+            )
+
+            assert secret.status_code == 422
+            assert "must-not-be-stored" not in secret.text
+            assert invalid_id.status_code == 422
+            assert invalid_mode.status_code == 422
+            state = (await client.get("/api/v1/onboarding")).json()
+            assert state["mode_intent"] is None
+            assert state["model_profile_id"] is None
+
+    asyncio.run(scenario())
+
+
+def test_progress_row_adapter_accepts_mysql_tuple_shape() -> None:
+    started_at = datetime(2026, 11, 4, 1, 0, tzinfo=UTC)
+    updated_at = datetime(2026, 11, 4, 1, 1)
+    state = OnboardingStore._to_state(
+        (
+            1,
+            "importing",
+            '["cursor"]',
+            started_at,
+            None,
+            updated_at,
+            "lite",
+            "review",
+            None,
+        ),
+        mysql=True,
+    )
+
+    assert state.selected_source_ids == ("cursor",)
+    assert state.started_at == started_at
+    assert state.mode_intent == "lite"
+    assert state.setup_step == "review"
+
+
+def test_progress_row_adapter_accepts_real_sqlite_row_and_text_datetime() -> None:
+    with sqlite3.connect(":memory:") as connection:
+        connection.row_factory = sqlite3.Row
+        row = connection.execute(
+            "SELECT 1 AS singleton, 'importing' AS status, '[\"cursor\"]' "
+            "AS selected_source_ids_json, '2026-11-04T01:00:00+00:00' AS started_at, "
+            "NULL AS completed_at, '2026-11-04T01:01:00+00:00' AS updated_at, "
+            "'pro' AS mode_intent, 'model' AS setup_step, "
+            "'9be6d465-4cf2-4c72-93f7-15f3c012bc80' AS model_profile_id"
+        ).fetchone()
+    assert row is not None
+
+    state = OnboardingStore._to_state(row, mysql=False)
+
+    assert state.started_at == datetime(2026, 11, 4, 1, 0, tzinfo=UTC)
+    assert state.mode_intent == "pro"
+    assert state.setup_step == "model"
+
+
+def test_progress_row_adapter_rejects_wrong_length() -> None:
+    with pytest.raises(ValueError, match="onboarding_row_shape_invalid"):
+        OnboardingStore._to_state((1, "importing"), mysql=True)
+
+
+def test_progress_row_adapter_rejects_wrong_row_types() -> None:
+    values = (
+        1,
+        "importing",
+        "[]",
+        None,
+        None,
+        datetime(2026, 11, 4, 1, 1),
+        None,
+        None,
+        None,
+    )
+    with pytest.raises(ValueError, match="onboarding_row_shape_invalid"):
+        OnboardingStore._to_state(list(values), mysql=True)
+    with pytest.raises(ValueError, match="onboarding_row_shape_invalid"):
+        OnboardingStore._to_state(values, mysql=False)
+
+
+def test_progress_row_adapter_rejects_wrong_engine_datetime_shape() -> None:
+    with pytest.raises(ValueError, match="onboarding_datetime_invalid"):
+        OnboardingStore._to_state(
+            (
+                1,
+                "importing",
+                "[]",
+                "2026-11-04T01:00:00+00:00",
+                None,
+                datetime(2026, 11, 4, 1, 1),
+                None,
+                None,
+                None,
+            ),
+            mysql=True,
+        )
+
+
+def test_runtime_sqlite_upgrade_does_not_record_progress_migration(tmp_path: Path) -> None:
+    database = tmp_path / "old.sqlite3"
+    with sqlite3.connect(database) as connection:
+        connection.executescript(
+            """
+            CREATE TABLE schema_migrations (
+                version INTEGER PRIMARY KEY,
+                name TEXT NOT NULL,
+                applied_at TEXT NOT NULL
+            );
+            INSERT INTO schema_migrations VALUES (61, 'write_job_retries', '2026-11-03');
+            CREATE TABLE onboarding_state (
+                singleton INTEGER PRIMARY KEY CHECK (singleton = 1),
+                status TEXT NOT NULL,
+                selected_source_ids_json TEXT NOT NULL,
+                started_at TEXT,
+                completed_at TEXT,
+                updated_at TEXT NOT NULL
+            );
+            """
+        )
+
+    OnboardingStore(database)
+
+    with sqlite3.connect(database) as connection:
+        recorded = connection.execute(
+            "SELECT name FROM schema_migrations WHERE version=62"
+        ).fetchone()
+        columns = {str(row[1]) for row in connection.execute("PRAGMA table_info(onboarding_state)")}
+    assert recorded is None
+    assert {"mode_intent", "setup_step", "model_profile_id"} <= columns
+
+
+def test_progress_rejects_updates_after_completion(tmp_path: Path) -> None:
+    async def scenario() -> None:
+        app = _app(tmp_path)
+        async with app.router.lifespan_context(app), _client(app) as client:
+            assert (await client.post("/api/v1/onboarding/complete")).status_code == 200
+
+            populated = await client.patch(
+                "/api/v1/onboarding/progress",
+                json={"mode_intent": "lite"},
+            )
+            empty = await client.put("/api/v1/onboarding/progress", json={})
+
+            assert populated.status_code == 409
+            assert populated.json()["detail"] == "onboarding_completed"
+            assert empty.status_code == 409
+            state = (await client.get("/api/v1/onboarding")).json()
+            assert state["status"] == "completed"
+            assert state["mode_intent"] is None
+
+    asyncio.run(scenario())

memhub/apps/core/tests/test_sdk_api_surface.py

@@ -42,7 +42,10 @@ RAW_ROWS = {
     "local": [
         {
             "memory_id": "raw-1",
-            "content": "[user]: 我叫费天翔\n[assistant]: 好的，记住了。",
+            "content": (
+                "[user]: 我叫费天翔\n[assistant]: 好的，记住了。"
+                "\n[user]: 我喜欢绿茶\n[assistant]: 也记住了。"
+            ),
             "status": "shadow",
             "session_id": "s-1",
             "source": "hermes",
@@ -347,6 +350,33 @@ def test_every_context_search_option_reaches_the_sdk_and_absent_ones_keep_the_ol
     run_with_sdk(tmp_path, monkeypatch, scenario)
 
 
+@pytest.mark.fresh_sdk
+def test_raw_context_search_can_return_turns_instead_of_storage_batches(
+    tmp_path, monkeypatch
+) -> None:
+    async def scenario(app, sdk, client):
+        response = await client.post(
+            "/api/v2/context/search",
+            json={
+                "query": "绿茶",
+                "kinds": ["raw"],
+                "raw_unit": "turn",
+                "limit": 20,
+            },
+        )
+        assert response.status_code == 200, response.text
+        raw_one = [
+            item for item in response.json()["items"] if item["raw_id"] == "raw-1"
+        ]
+        assert len(raw_one) == 1
+        assert raw_one[0]["turn_index"] == 1
+        assert "我喜欢绿茶" in raw_one[0]["content"]
+        assert "我叫费天翔" not in raw_one[0]["content"]
+        assert sdk.last("search")["statuses"] == ["active", "shadow"]
+
+    run_with_sdk(tmp_path, monkeypatch, scenario)
+
+
 @pytest.mark.fresh_sdk
 def test_every_recall_and_ask_option_reaches_the_sdk(tmp_path, monkeypatch) -> None:
     async def scenario(app, sdk, client):
@@ -574,7 +604,12 @@ def test_raw_lists_active_and_shadow_turns_with_roles_and_hashes(tmp_path, monke
         assert sent["layers"] == ["l1_raw"] and sent["statuses"] == ["active", "shadow"]
         first = next(item for item in body["items"] if item["raw_id"] == "raw-1")
         assert first["status"] == "shadow"
-        assert [message["role"] for message in first["messages"]] == ["user", "assistant"]
+        assert [message["role"] for message in first["messages"]] == [
+            "user",
+            "assistant",
+            "user",
+            "assistant",
+        ]
         assert first["messages"][0]["content"] == "我叫费天翔"
         assert first["role"] is None
         expected = hashlib.sha256(first["content"].encode()).hexdigest()
@@ -584,6 +619,27 @@ def test_raw_lists_active_and_shadow_turns_with_roles_and_hashes(tmp_path, monke
         second = next(item for item in body["items"] if item["raw_id"] == "raw-2")
         assert second["role"] == "user"
 
+        turns = (await client.get("/api/v2/raw", params={"unit": "turn"})).json()
+        assert turns["unit"] == "turn" and turns["total"] == 3
+        first_turns = [item for item in turns["items"] if item["raw_id"] == "raw-1"]
+        assert [item["turn_index"] for item in first_turns] == [1, 0]
+        assert len({item["turn_id"] for item in first_turns}) == 2
+        assert [[message["content"] for message in item["messages"]] for item in first_turns] == [
+            ["我喜欢绿茶", "也记住了。"],
+            ["我叫费天翔", "好的，记住了。"],
+        ]
+        calls_before_refresh = len(sdk.all("list_memories"))
+        await client.get("/api/v2/raw", params={"unit": "turn"})
+        assert len(sdk.all("list_memories")) == calls_before_refresh + 1
+
+        ascending = (
+            await client.get("/api/v2/raw", params={"unit": "turn", "order": "asc"})
+        ).json()
+        ascending_first = [
+            item for item in ascending["items"] if item["raw_id"] == "raw-1"
+        ]
+        assert [item["turn_index"] for item in ascending_first] == [0, 1]
+
         await client.get(
             "/api/v2/raw",
             params=[("source", "hermes,codex"), ("session_id", "s-1"), ("order", "asc")],

memhub/apps/core/tests/test_sdk_data_plane_migration.py

@@ -1613,7 +1613,7 @@ def test_a_completed_sdk_write_does_not_touch_retired_evidence(store) -> None:
     class Supervisor:
         async def process_sdk_job(self, records, *, request_id, before_hy_invocation):
             del records, request_id
-            await before_hy_invocation()
+            await before_hy_invocation(True)
             return SimpleNamespace(raw_ids=("raw-1",), memory_ids=("m-1",))
 
     asyncio.run(

memhub/apps/core/tests/test_sdk_migration_bundle.py

@@ -91,7 +91,7 @@ def test_bundle_contains_management_sdk_config_and_verified_manifest(tmp_path):
     assert manifest["bundle_id"] == "migration-1"
     assert manifest["sdk_namespace"] == "governed-v2"
     assert manifest["runtime_build"] == "build-13"
-    assert manifest["snapshot_sdk_version"] == "2.0.12"
+    assert manifest["snapshot_sdk_version"] == "2.0.13"
     paths = {item["path"]: item for item in manifest["files"]}
     assert {
         "management/one-memory.sqlite3",

memhub/apps/core/tests/test_sedimentation_switch.py

@@ -1,13 +1,12 @@
-"""The sedimentation API persists decisions and resumes the SDK queue."""
-
-import asyncio
-import threading
+"""The sedimentation API persists decisions without rewriting parked work."""
 
 from fastapi.testclient import TestClient
 from pydantic import SecretStr
 
 from one_memory.api import create_app
 from one_memory.config import Settings
+from one_memory.memory_server.contracts import BatchIdentity, WriteRequest
+from one_memory.memory_server.durable_queue import WAITING_FOR_PERMISSION
 
 
 def _app(tmp_path):
@@ -25,51 +24,62 @@ def _app(tmp_path):
     )
 
 
-def test_sedimentation_route_persists_and_resumes_without_restart(tmp_path) -> None:
+def test_sedimentation_route_persists_without_restart(tmp_path) -> None:
     with TestClient(_app(tmp_path), headers={"Authorization": "Bearer test"}) as client:
         assert client.get("/api/v1/sedimentation").json()["enabled"] is True
-        assert client.put(
-            "/api/v1/sedimentation", json={"enabled": False}
-        ).json()["enabled"] is False
+        assert (
+            client.put("/api/v1/sedimentation", json={"enabled": False}).json()["enabled"] is False
+        )
         assert client.get("/api/v1/sedimentation").json()["enabled"] is False
-        assert client.put(
-            "/api/v1/sedimentation", json={"enabled": True}
-        ).json()["enabled"] is True
+        assert client.put("/api/v1/sedimentation", json={"enabled": True}).json()["enabled"] is True
 
 
-def test_switch_answers_before_sdk_queue_resume_finishes(tmp_path, monkeypatch) -> None:
+def test_switch_does_not_run_the_broad_parked_queue_resume(tmp_path, monkeypatch) -> None:
     app = _app(tmp_path)
-    released = threading.Event()
-    finished = threading.Event()
+    called = False
 
     with TestClient(app, headers={"Authorization": "Bearer test"}) as client:
-        async def slow_resume() -> None:
-            await asyncio.get_running_loop().run_in_executor(None, released.wait, 10.0)
-            finished.set()
 
-        monkeypatch.setattr(app.state.sdk_memory_runtime, "resume_allowed", slow_resume)
-        assert client.put(
-            "/api/v1/sedimentation", json={"enabled": False}
-        ).status_code == 200
+        async def forbidden_resume() -> None:
+            nonlocal called
+            called = True
+
+        monkeypatch.setattr(app.state.sdk_memory_runtime, "resume_allowed", forbidden_resume)
+        assert client.put("/api/v1/sedimentation", json={"enabled": False}).status_code == 200
         resumed = client.put("/api/v1/sedimentation", json={"enabled": True})
 
         assert resumed.status_code == 200
         assert resumed.json()["enabled"] is True
-        assert finished.is_set() is False
-        released.set()
+        assert called is False
 
 
-def test_a_failing_sdk_queue_resume_does_not_fail_the_switch(tmp_path, monkeypatch) -> None:
+def test_switch_does_not_rewrite_permission_parked_jobs(tmp_path) -> None:
     app = _app(tmp_path)
     with TestClient(app, headers={"Authorization": "Bearer test"}) as client:
-        async def broken_resume() -> None:
-            raise RuntimeError("sdk_queue_unavailable")
+        queue = app.state.memory_write_queue
+        queue.evidence = None
+        request = WriteRequest(
+            internal_session_id="session-1",
+            source_id="cursor",
+            batch_identity=BatchIdentity(
+                internal_session_id="session-1",
+                first_round=1,
+                last_round=1,
+            ),
+            evidence_ids=["e-1"],
+            idempotency_key="permission-parked",
+        )
+        record = queue.submit(request)
+        queue.settle(
+            record.job_id,
+            state=WAITING_FOR_PERMISSION,
+            error_code="model_content_permission_required",
+            hy_invoked=False,
+        )
 
-        monkeypatch.setattr(app.state.sdk_memory_runtime, "resume_allowed", broken_resume)
-        assert client.put(
-            "/api/v1/sedimentation", json={"enabled": False}
-        ).status_code == 200
-        resumed = client.put("/api/v1/sedimentation", json={"enabled": True})
+        assert client.put("/api/v1/sedimentation", json={"enabled": False}).status_code == 200
+        assert client.put("/api/v1/sedimentation", json={"enabled": True}).status_code == 200
 
-        assert resumed.status_code == 200
-        assert resumed.json()["enabled"] is True
+        parked = queue.get("permission-parked")
+        assert parked.state == WAITING_FOR_PERMISSION
+        assert parked.detail == "model_content_permission_required"

memhub/apps/core/tests/test_source_connection_intents.py

@@ -16,7 +16,7 @@ from one_memory.imports.connections import SourceConnectionStore
 from one_memory.imports.grants import SourceGrantStore
 from one_memory.imports.jobs import ImportJobStore
 from one_memory.imports.sources.registry import build_source_catalog
-from one_memory.onboarding import OnboardingStore
+from one_memory.onboarding import OnboardingProgressUpdate, OnboardingStore
 
 
 @pytest.mark.parametrize("entry", ["connect", "authorize"])
@@ -371,7 +371,14 @@ def test_onboarding_persists_one_history_window_on_every_accepted_source(tmp_pat
     database = tmp_path / "data.sqlite"
     grants = SourceGrantStore(database, home=home)
     jobs = ImportJobStore(database)
-    OnboardingStore(database)
+    onboarding = OnboardingStore(database)
+    onboarding.update_progress(
+        OnboardingProgressUpdate(
+            mode_intent="pro",
+            setup_step="model",
+            model_profile_id="9be6d465-4cf2-4c72-93f7-15f3c012bc80",
+        )
+    )
     store = SourceConnectionStore(grants, jobs, home=home)
     catalog = build_source_catalog(home=home, environment={})
     cutoff = datetime(2026, 10, 13, 5, 0, tzinfo=UTC)
@@ -391,3 +398,7 @@ def test_onboarding_persists_one_history_window_on_every_accepted_source(tmp_pat
     assert receipt.accepted_source_ids == ("claude-code", "codex")
     assert {job.history_after for job in receipt.jobs} == {cutoff}
     assert store.get("bounded-first-import") == receipt
+    state = onboarding.get()
+    assert state.mode_intent == "pro"
+    assert state.setup_step == "model"
+    assert state.model_profile_id == "9be6d465-4cf2-4c72-93f7-15f3c012bc80"

memhub/apps/core/uv.lock

@@ -991,7 +991,7 @@ wheels = [
 
 [[package]]
 name = "hy-memory"
-version = "2.0.12"
+version = "2.0.13"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "chromadb" },
@@ -1008,9 +1008,9 @@ dependencies = [
     { name = "scikit-learn" },
     { name = "tiktoken" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/44/19/bcd0de44ae2011ee1ad70579996aad72e18f0ca292df22d1545db05db850/hy_memory-2.0.12.tar.gz", hash = "sha256:c1231596b4cf12595775541f81680d4819461cb69e4aa4dc449f876d4c3b6742", size = 1246969, upload-time = "2026-11-02T06:30:37.448Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/88/46/7d5a2d76be135664302d91e15f0d5018cf8e228956e4c80b86583b131cb3/hy_memory-2.0.13.tar.gz", hash = "sha256:f95850d492de74e91891502716da96e8b5297c3fc045dc70ec3474ed240da958", size = 1252802, upload-time = "2026-11-02T09:30:40.331Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/75/9e/b64c7643c1bad1ddca4623a39bb62423bed0c22e7fd0d86be1ff73b2a17a/hy_memory-2.0.12-py3-none-any.whl", hash = "sha256:7a2332288197fafb89d5037eac7fef97df4c80794ead18159d21da84cde431df", size = 1316922, upload-time = "2026-11-02T06:30:35.105Z" },
+    { url = "https://files.pythonhosted.org/packages/99/63/2b4d21d555a5dd50ab838fad944c7fdd6cf90d2dc814e2a8e79eca3d4e03/hy_memory-2.0.13-py3-none-any.whl", hash = "sha256:128cf4729e6ea10b9da3c7fdf21005191294621a65378cd9583827904eea064a", size = 1322154, upload-time = "2026-11-02T09:30:37.746Z" },
 ]
 
 [[package]]
@@ -1837,7 +1837,7 @@ requires-dist = [
     { name = "fastapi", specifier = ">=0.141.1" },
     { name = "filelock", specifier = ">=3.32.4" },
     { name = "httpx", specifier = ">=0.28.1" },
-    { name = "hy-memory", specifier = "==2.0.12" },
+    { name = "hy-memory", specifier = "==2.0.13" },
     { name = "keyring", specifier = ">=25.7.0" },
     { name = "numpy", specifier = "==2.5.2" },
     { name = "onnxruntime", specifier = "==1.23.2" },

memhub/apps/web/src/App.r6.test.tsx

@@ -9,6 +9,11 @@ import {
 import userEvent from "@testing-library/user-event";
 import { afterEach, beforeEach, expect, it, vi } from "vitest";
 import { App } from "./App";
+import {
+  commitConfirmedMemoryMode,
+  issueConfirmedModeTicket,
+  resetConfirmedMemoryModeForTests,
+} from "./confirmed-memory-mode";
 import { LANGUAGE_STORAGE_KEY, LanguageProvider } from "./gui-language";
 
 it("localizes shared navigation and footer in Spanish", async () => {
@@ -36,6 +41,7 @@ it("localizes shared navigation and footer in Spanish", async () => {
 });
 
 const memoryProps = vi.hoisted(() => vi.fn());
+const progressProps = vi.hoisted(() => vi.fn());
 
 vi.mock("./api", () => ({
   getOnboarding: vi.fn().mockResolvedValue({ status: "completed" }),
@@ -62,11 +68,21 @@ vi.mock("./MemorySpace", () => ({
 vi.mock("./ModelSettings", () => ({
   ModelSettings: () => <p>模型设置内容</p>,
 }));
-vi.mock("./ImportProgressStrip", () => ({ ImportProgressStrip: () => null }));
+vi.mock("./R6Settings", () => ({
+  R6Settings: () => <p>设置视图内容</p>,
+}));
+vi.mock("./ImportProgressStrip", () => ({
+  ImportProgressStrip: (props: unknown) => {
+    progressProps(props);
+    return null;
+  },
+}));
 vi.mock("./HealthPanel", () => ({ HealthPanel: () => null }));
 vi.mock("./OnboardingFlow", () => ({ OnboardingFlow: () => null }));
 
 beforeEach(() => {
+  resetConfirmedMemoryModeForTests();
+  progressProps.mockClear();
   window.history.replaceState({}, "", "/");
   localStorage.clear();
 });
@@ -105,6 +121,23 @@ it("uses explicit memory deep links and restores the applications default URL",
   ).toBe("page");
 });
 
+it("passes confirmed mode capabilities to the production progress strip", async () => {
+  commitConfirmedMemoryMode("lite", issueConfirmedModeTicket("settings"));
+  render(<App />);
+  const nav = await screen.findByRole("navigation", { name: "主要导航" });
+  await userEvent.click(within(nav).getByRole("button", { name: "设置" }));
+  await waitFor(() =>
+    expect(progressProps).toHaveBeenCalledWith(
+      expect.objectContaining({
+        modeCapabilities: expect.objectContaining({
+          content_plane: "raw",
+          generation_required: false,
+        }),
+      }),
+    ),
+  );
+});
+
 it("keeps an independent scroll position for each primary page", async () => {
   render(<App />);
   const nav = await screen.findByRole("navigation", { name: "主要导航" });

memhub/apps/web/src/App.setup.test.tsx

@@ -37,7 +37,41 @@ const { getOnboarding, sources, modelProps, mutations } = vi.hoisted(() => ({
 vi.mock("./api", () => ({
   getOnboarding,
   getModelProfiles: vi.fn().mockResolvedValue([]),
+  getMemoryMode: vi.fn().mockResolvedValue({
+    mode: "pro",
+    configured_mode: "pro",
+    explicitly_configured: false,
+    forced_by_env: false,
+    modes: ["lite", "pro", "ultra"],
+    graph_build: {
+      state: "idle",
+      started_at: null,
+      finished_at: null,
+      users: {},
+    },
+  }),
+  getEvolveSchedule: vi.fn().mockResolvedValue({
+    enabled: true,
+    time: "03:00",
+  }),
+  getEvolveOverview: vi.fn().mockResolvedValue({
+    mode: "pro",
+    schedule: { enabled: true, time: "03:00" },
+    users: {},
+    running: [],
+  }),
+  getMemoryProcessing: vi.fn().mockResolvedValue({
+    embedding_switch: null,
+  }),
+  setMemoryMode: vi.fn(),
+  setEvolveSchedule: vi.fn(),
+  startEvolve: vi.fn(),
+  apiErrorCode: vi.fn().mockReturnValue(null),
   getSources: vi.fn().mockResolvedValue(sources),
+  getCurrentEmbeddingSwitch: vi
+    .fn()
+    .mockRejectedValue(new Error("unsupported")),
+  embeddingSwitchUnsupported: vi.fn().mockReturnValue(true),
   ...mutations,
 }));
 vi.mock("./use-import-sources", () => ({
@@ -119,7 +153,9 @@ it("enters D47 settings without a tour or mandatory second scope-confirmation fl
   ).toBeNull();
   noModelWrites();
   expect(screen.queryByRole("button", { name: "管理已有授权" })).toBeNull();
-  expect(screen.getByRole("button", { name: "模型" })).toBeTruthy();
+  expect(screen.getByRole("button", { name: "界面语言" })).toBeTruthy();
+  expect(screen.getByRole("button", { name: "记忆模式" })).toBeTruthy();
+  expect(screen.getByRole("button", { name: "模型配置" })).toBeTruthy();
   expect(screen.getByRole("button", { name: "连接其他应用" })).toBeTruthy();
   expect(screen.getByRole("button", { name: "帮助与诊断" })).toBeTruthy();
   noModelWrites();
@@ -182,13 +218,14 @@ it("keeps an open model draft while switching settings groups", async () => {
   window.history.replaceState({}, "", "/?view=settings");
   render(<App />);
   await waitFor(() => expect(modelProps).toHaveBeenCalled());
+  await userEvent.click(screen.getByRole("button", { name: "模型配置" }));
   await userEvent.click(screen.getByRole("button", { name: "配置模型" }));
   await userEvent.type(
     screen.getByLabelText("保留的模型草稿"),
     "unsaved draft",
   );
   await userEvent.click(screen.getByRole("button", { name: "连接其他应用" }));
-  await userEvent.click(screen.getByRole("button", { name: "模型" }));
+  await userEvent.click(screen.getByRole("button", { name: "模型配置" }));
   expect(window.location.search).toBe("?view=settings");
   expect(screen.getByLabelText("保留的模型草稿")).toHaveProperty(
     "value",

memhub/apps/web/src/App.tsx

@@ -23,8 +23,10 @@ import {
 import { getOnboarding } from "./api";
 import { useApplicationsLanguage } from "./applications-language";
 import { CallHistory } from "./CallHistory";
+import { useConfirmedMemoryMode } from "./confirmed-memory-mode";
 import { DebugLogPanel } from "./DebugLogPanel";
 import { DesktopFrame } from "./DesktopFrame";
+import { EmbeddingSwitchGlobalStatus } from "./EmbeddingSwitchExperience";
 import { useGuiLanguage } from "./gui-language";
 import { HealthPanel } from "./HealthPanel";
 import { ImportProgressStrip } from "./ImportProgressStrip";
@@ -34,6 +36,7 @@ import { OnboardingFlow } from "./OnboardingFlow";
 import { R6Button, R6LocalStorage } from "./R6Controls";
 import { R6Settings } from "./R6Settings";
 import { prefetchDataRuntime } from "./runtime-state";
+import { EmbeddingSwitchProvider } from "./use-embedding-switch";
 import "./styles.css";
 import "./core-visual.css";
 import "./r6-shell.css";
@@ -47,16 +50,19 @@ const rendererStartedAt = Date.now();
 
 export function App() {
   return (
-    <DesktopFrame>
-      <AppContent />
-      <DebugLogPanel />
-    </DesktopFrame>
+    <EmbeddingSwitchProvider>
+      <DesktopFrame>
+        <AppContent />
+        <DebugLogPanel />
+      </DesktopFrame>
+    </EmbeddingSwitchProvider>
   );
 }
 
 function AppContent() {
   const { t } = useGuiLanguage();
   const { a } = useApplicationsLanguage();
+  const confirmedMode = useConfirmedMemoryMode();
   const [onboarding, setOnboarding] = useState<OnboardingState | null>(null);
   const [startupRead, setStartupRead] = useState<"loading" | "ready" | "error">(
     "loading",
@@ -309,6 +315,10 @@ function AppContent() {
         ref={content}
         data-view={displayedView}
       >
+        <EmbeddingSwitchGlobalStatus
+          onConfigureSearch={() => navigate("settings")}
+          onDiagnostics={() => navigate("health")}
+        />
         {/* First run hands the user in here while the import is still going.
          * Without this the work would be invisible from every screen except
          * the one they were no longer required to sit on. */}
@@ -322,6 +332,9 @@ function AppContent() {
             sourceSnapshot={imports.sourceSnapshot}
             onRefresh={imports.refresh}
             arrival={memoryArrival}
+            modeCapabilities={
+              confirmedMode.capabilities ?? memoryArrival?.capabilities
+            }
             onConfigureModel={() => navigate("settings")}
             onJobAction={imports.changeJob}
             showSourceLink={displayedView !== "settings"}

memhub/apps/web/src/ApplicationsHome.test.tsx

@@ -15,6 +15,11 @@ import {
   CALL_HISTORY_ENTRY_VISIBLE,
 } from "./ApplicationsHome";
 import * as api from "./api";
+import {
+  commitConfirmedMemoryMode,
+  issueConfirmedModeTicket,
+  resetConfirmedMemoryModeForTests,
+} from "./confirmed-memory-mode";
 import { saveConnectionPreferences } from "./connection-preferences";
 import { resetConnectionReconcile } from "./connection-reconcile";
 import { LanguageProvider } from "./gui-language";
@@ -67,21 +72,37 @@ it("localizes the whole home live without repeating reads or changing imported t
   expect(summary).toHaveBeenCalledTimes(calls);
 });
 
-const { summary, processing, sedimentation, history, liveSync } = vi.hoisted(
-  () => ({
+const { summary, projection, processing, sedimentation, history, liveSync } =
+  vi.hoisted(() => ({
     summary: vi.fn(),
+    projection: vi.fn(),
     processing: vi.fn(),
     sedimentation: vi.fn(),
     history: vi.fn(),
     liveSync: vi.fn(),
-  }),
-);
+  }));
 vi.mock("./call-history-client", async (original) => ({
   ...(await original<typeof import("./call-history-client")>()),
   getCallHistory: history,
 }));
 vi.mock("./api", () => ({
+  getHomeProjection: projection,
   getHomeSummary: summary,
+  homeProjectionUnsupported: vi.fn().mockReturnValue(true),
+  getMemoryMode: vi.fn().mockResolvedValue({
+    mode: "pro",
+    configured_mode: "pro",
+    explicitly_configured: true,
+    forced_by_env: false,
+    modes: ["lite", "pro", "ultra"],
+    graph_build: {
+      state: "idle",
+      started_at: null,
+      finished_at: null,
+      users: {},
+    },
+  }),
+  getSdkRaw: vi.fn(),
   getLiveSyncHealth: liveSync,
   getMemoryProcessing: processing,
   getSedimentation: sedimentation,
@@ -106,6 +127,22 @@ const imports = {
   sourceSnapshot: { stale: false },
 } as unknown as Parameters<typeof ApplicationsHome>[0]["imports"];
 beforeEach(() => {
+  resetConfirmedMemoryModeForTests();
+  vi.mocked(api.getMemoryMode).mockResolvedValue({
+    mode: "pro",
+    configured_mode: "pro",
+    explicitly_configured: true,
+    forced_by_env: false,
+    modes: ["lite", "pro", "ultra"],
+    graph_build: {
+      state: "idle",
+      started_at: null,
+      finished_at: null,
+      users: {},
+    },
+  });
+  vi.mocked(api.getSdkRaw).mockReset();
+  vi.mocked(api.homeProjectionUnsupported).mockReturnValue(true);
   history
     .mockReset()
     .mockResolvedValue({ available: true, recording_error: false, items: [] });
@@ -122,6 +159,7 @@ beforeEach(() => {
     },
     observed_at: "2026-09-19T00:00:00Z",
   });
+  projection.mockReset().mockRejectedValue(new Error("legacy core"));
   processing.mockReset().mockResolvedValue({ running: 0, pending: 0 });
   sedimentation.mockReset().mockResolvedValue({
     enabled: true,
@@ -149,6 +187,218 @@ beforeEach(() => {
     ]),
   } as unknown as NonNullable<typeof window.oneMemory>;
 });
+it("hides an old projection immediately when confirmed mode changes", async () => {
+  vi.mocked(api.homeProjectionUnsupported).mockReturnValue(false);
+  commitConfirmedMemoryMode("pro", issueConfirmedModeTicket("settings"));
+  projection
+    .mockResolvedValueOnce({
+      projection_version: 1,
+      user_id: "local",
+      effective_mode: "pro",
+      capabilities: {
+        content_plane: "memory",
+        generation_required: true,
+        graph_enabled: false,
+        evolve_available: false,
+      },
+      visible_count: 1,
+      display_state: "excerpt",
+      latest: {
+        type: "memory",
+        memory_id: "old",
+        scene: "chat",
+        kind: "chat",
+        variant: null,
+        source_id: "app-0",
+        excerpt: "旧模式投影",
+        truncated: false,
+        time: null,
+        time_basis: "update",
+      },
+      observed_at: "2026-11-04T00:00:00Z",
+    })
+    .mockImplementationOnce(() => new Promise(() => {}));
+  render(
+    <ApplicationsHome
+      imports={imports}
+      onManage={() => {}}
+      onMemories={() => {}}
+    />,
+  );
+  expect(await screen.findByText("旧模式投影")).toBeTruthy();
+  act(() =>
+    commitConfirmedMemoryMode("lite", issueConfirmedModeTicket("settings")),
+  );
+  expect(screen.queryByText("旧模式投影")).toBeNull();
+  expect(screen.getAllByText("正在核对本机原始对话…")).toHaveLength(2);
+});
+it("renders the lite projection as raw data with mode metadata and no navigation tail", async () => {
+  vi.mocked(api.homeProjectionUnsupported).mockReturnValue(false);
+  projection.mockResolvedValue({
+    projection_version: 1,
+    user_id: "local",
+    effective_mode: "lite",
+    capabilities: {
+      content_plane: "raw",
+      generation_required: false,
+      graph_enabled: false,
+      evolve_available: false,
+    },
+    visible_count: 7,
+    display_state: "excerpt",
+    latest: {
+      type: "raw",
+      raw_id: "raw-1",
+      session_id: "session-1",
+      source_id: "app-0",
+      excerpt: "用户原始对话摘要",
+      truncated: false,
+      display_state: "excerpt",
+      time: "2026-09-19T00:00:00Z",
+      time_basis: "conversation",
+    },
+    observed_at: "2026-09-19T00:00:01Z",
+  });
+  render(
+    <ApplicationsHome
+      imports={imports}
+      onManage={() => {}}
+      onMemories={vi.fn()}
+      onCalls={() => {}}
+    />,
+  );
+  expect(await screen.findByText("原始对话")).toBeTruthy();
+  expect(screen.getByText("7")).toBeTruthy();
+  expect(screen.getByText("用户原始对话摘要")).toBeTruthy();
+  expect(screen.getByText(/原始对话 · App 0 · 对话时间/)).toBeTruthy();
+  expect(screen.getByText("lite")).toBeTruthy();
+  expect(screen.queryByRole("button", { name: "查看记忆" })).toBeNull();
+  expect(screen.queryByRole("button", { name: "查看记录" })).toBeNull();
+});
+
+it.each([
+  ["conversation", "对话时间"],
+  ["import", "导入时间"],
+  ["write", "写入时间"],
+  ["update", "更新时间"],
+  [null, null],
+] as const)(
+  "renders projection time basis %s truthfully",
+  async (basis, label) => {
+    vi.mocked(api.homeProjectionUnsupported).mockReturnValue(false);
+    projection.mockResolvedValue({
+      projection_version: 1,
+      user_id: "local",
+      effective_mode: "lite",
+      capabilities: {
+        content_plane: "raw",
+        generation_required: false,
+        graph_enabled: false,
+        evolve_available: false,
+      },
+      visible_count: 1,
+      display_state: "excerpt",
+      latest: {
+        type: "raw",
+        raw_id: "raw-basis",
+        session_id: "session-basis",
+        source_id: "app-0",
+        excerpt: "basis excerpt",
+        truncated: false,
+        display_state: "excerpt",
+        time: "2026-09-19T00:00:00Z",
+        time_basis: basis,
+      },
+      observed_at: "2026-09-19T00:00:01Z",
+    });
+    render(mountHome());
+    const activity = (await screen.findByText("basis excerpt")).closest(
+      "section",
+    );
+    const meta = activity?.querySelector("small")?.textContent ?? "";
+    if (label) expect(meta).toContain(label);
+    else expect(meta).not.toMatch(/对话时间|导入时间|写入时间|更新时间/);
+  },
+);
+
+it("does not publish a stopped legacy raw fallback", async () => {
+  vi.mocked(api.getMemoryMode).mockResolvedValue({
+    mode: "lite",
+    configured_mode: "lite",
+    explicitly_configured: true,
+    forced_by_env: false,
+    modes: ["lite", "pro", "ultra"],
+    graph_build: {
+      state: "idle",
+      started_at: null,
+      finished_at: null,
+      users: {},
+    },
+  });
+  let resolveRaw!: (value: {
+    user_id: string;
+    items: [];
+    total: number;
+    limit: number;
+    offset: number;
+  }) => void;
+  vi.mocked(api.getSdkRaw).mockReturnValue(
+    new Promise((resolve) => {
+      resolveRaw = resolve;
+    }),
+  );
+  const view = render(mountHome(true));
+  await waitFor(() => expect(api.getSdkRaw).toHaveBeenCalledWith({ limit: 1 }));
+  view.rerender(mountHome(false));
+  await act(async () =>
+    resolveRaw({
+      user_id: "local",
+      items: [],
+      total: 73,
+      limit: 1,
+      offset: 0,
+    }),
+  );
+  expect(screen.queryByText("73")).toBeNull();
+});
+
+it("uses only total from the legacy raw fallback", async () => {
+  vi.mocked(api.getMemoryMode).mockResolvedValue({
+    mode: "lite",
+    configured_mode: "lite",
+    explicitly_configured: true,
+    forced_by_env: false,
+    modes: ["lite", "pro", "ultra"],
+    graph_build: {
+      state: "idle",
+      started_at: null,
+      finished_at: null,
+      users: {},
+    },
+  });
+  vi.mocked(api.getSdkRaw).mockResolvedValue({
+    user_id: "local",
+    items: [
+      {
+        raw_id: "raw-private",
+        content: "正文不应进入首页",
+        user_id: "local",
+        agent_id: "agent",
+        session_id: "session",
+        source: "app-0",
+        memory_at: null,
+        gmt_created: null,
+        custom: {},
+      },
+    ],
+    total: 9,
+    limit: 1,
+    offset: 0,
+  });
+  render(mountHome());
+  expect(await screen.findByText("9")).toBeTruthy();
+  expect(screen.queryByText("正文不应进入首页")).toBeNull();
+});
 it.each([
   [true, "Organizando", "Organizando nuevas conversaciones"],
   [false, "En pausa", "Se dejó de generar memorias nuevas"],
@@ -197,7 +447,7 @@ it("localizes startup recovery and empty states without leaking errors", async (
       "El servicio se está iniciando; se actualizará automáticamente",
     ),
   ).toBeTruthy();
-  expect(screen.getByText("0")).toBeTruthy();
+  expect(screen.getByText("—")).toBeTruthy();
   expect(screen.getByText("Aún no hay aplicaciones para mostrar")).toBeTruthy();
   expect(
     screen.queryByRole("button", { name: "Reintentar lectura" }),
@@ -235,7 +485,7 @@ it("shows latest recorded call separately without exposing recent-update detail
   );
   await screen.findByText("实际治理记忆");
   fireEvent.click(screen.getByRole("tab", { name: "最近调用" }));
-  await screen.findByText("Codex 查到 3 条相关内容");
+  await screen.findByText("Codex 找到 2 条记忆 · 1 条原始会话");
   expect(document.querySelector(".r6-home-call-direction")).toBeTruthy();
   expect(screen.queryByText("实际治理记忆")).toBeNull();
   expect(screen.getByText(/Codex · 今天 .+ · 查询成功/)).toBeTruthy();
@@ -292,7 +542,7 @@ it("skips direct diagnostics and shows the latest attributed application call",
   );
 
   fireEvent.click(await screen.findByRole("tab", { name: "最近调用" }));
-  expect(await screen.findByText("WorkBuddy 查到 5 条相关内容")).toBeTruthy();
+  expect(await screen.findByText("WorkBuddy 找到 5 条记忆")).toBeTruthy();
   expect(screen.queryByText(/直接调用/)).toBeNull();
   expect(screen.getByText(/WorkBuddy · 今天 .+ · 查询成功/)).toBeTruthy();
   const direction = document.querySelector(".r6-home-call-direction");
@@ -330,7 +580,7 @@ it("shows only the host for memory hits whose references have no source", async
     />,
   );
   fireEvent.click(await screen.findByRole("tab", { name: "最近调用" }));
-  await screen.findByText("WorkBuddy 查到 2 条相关内容");
+  await screen.findByText("WorkBuddy 找到 2 条记忆");
   const direction = document.querySelector(".r6-home-call-direction");
   expect(direction?.querySelectorAll("img")).toHaveLength(1);
   expect(direction?.querySelector("img")?.getAttribute("src")).toContain(
@@ -368,7 +618,7 @@ it("keeps source to host direction for raw hits with a source", async () => {
     />,
   );
   fireEvent.click(await screen.findByRole("tab", { name: "最近调用" }));
-  await screen.findByText("WorkBuddy 查到 1 条相关内容");
+  await screen.findByText("WorkBuddy 找到 1 条原始会话");
   const direction = document.querySelector(".r6-home-call-direction");
   expect(direction?.querySelectorAll("img")).toHaveLength(1);
   expect(direction?.querySelector("svg")).toBeTruthy();
@@ -416,7 +666,9 @@ it("shows unlinked apps and the latest returned call on matching rows", async ()
       onCalls={() => {}}
     />,
   );
-  expect(await screen.findByText(/Cursor 查到 3 条相关内容 ·/)).toBeTruthy();
+  expect(
+    await screen.findByText(/Cursor 找到 2 条记忆 · 1 条原始会话 ·/),
+  ).toBeTruthy();
   expect(screen.getByText("尚未关联")).toBeTruthy();
 });
 it("keeps the latest call visible when recording is incomplete", async () => {
@@ -444,7 +696,7 @@ it("keeps the latest call visible when recording is incomplete", async () => {
     />,
   );
   fireEvent.click(await screen.findByRole("tab", { name: "最近调用" }));
-  await screen.findByText("Cursor 查到 1 条相关内容");
+  await screen.findByText("Cursor 找到 1 条记忆");
   expect(screen.getByText(/有几次调用没被记下来/)).toBeTruthy();
   expect(screen.queryByText("暂时无法读取调用记录")).toBeNull();
   expect(screen.queryByText("暂无已记录调用")).toBeNull();
@@ -496,7 +748,7 @@ it("marks a retained application activity as last-read when call history cannot
     />,
   );
 
-  await screen.findByText(/App 0 查到 3 条相关内容 ·/);
+  await screen.findByText(/App 0 找到 2 条记忆 · 1 条原始会话 ·/);
   view.rerender(
     <ApplicationsHome
       active={false}
@@ -520,8 +772,10 @@ it("marks a retained application activity as last-read when call history cannot
   await waitFor(() => expect(history).toHaveBeenCalledTimes(2));
 
   expect(await screen.findByText("实际治理记忆")).toBeTruthy();
-  expect(screen.getByText(/上次读取：App 0 查到 3 条相关内容/)).toBeTruthy();
-  expect(screen.queryByText(/^App 0 查到/)).toBeNull();
+  expect(
+    screen.getByText(/上次读取：App 0 找到 2 条记忆 · 1 条原始会话/),
+  ).toBeTruthy();
+  expect(screen.queryByText(/^App 0 找到/)).toBeNull();
 });
 it("does not say an unavailable call returned memories", async () => {
   history.mockResolvedValue({
@@ -770,7 +1024,7 @@ it("keeps authoritative home and processing data when only the source snapshot b
   expect(screen.getAllByText("整理中")).toHaveLength(2);
   expect(screen.queryByText("状态待核对")).toBeNull();
 });
-it("keeps a neutral zero while the first home summary read recovers", async () => {
+it("keeps an unknown dash while the first home read recovers", async () => {
   summary.mockRejectedValue(new Error("private offline detail"));
   render(
     <ApplicationsHome
@@ -783,7 +1037,7 @@ it("keeps a neutral zero while the first home summary read recovers", async () =
   await waitFor(() =>
     expect(screen.getByText("后台正在启动，稍后自动更新")).toBeTruthy(),
   );
-  expect(screen.getByText("0")).toBeTruthy();
+  expect(screen.getByText("—")).toBeTruthy();
   expect(screen.getByText("正在准备记忆概览")).toBeTruthy();
   expect(screen.queryByText(/暂时?无法读取|读取失败/)).toBeNull();
   expect(document.body.textContent).not.toContain("private offline detail");
@@ -944,6 +1198,50 @@ it("shows a paused switch immediately even when task rows still say running", as
   expect(screen.queryByText("新的对话正在整理")).toBeNull();
 });
 
+it("shows lite raw ingestion as running even when model sedimentation is paused", async () => {
+  vi.mocked(api.homeProjectionUnsupported).mockReturnValue(false);
+  projection.mockResolvedValue({
+    projection_version: 1,
+    user_id: "local",
+    effective_mode: "lite",
+    capabilities: {
+      content_plane: "raw",
+      generation_required: false,
+      graph_enabled: false,
+      evolve_available: false,
+    },
+    visible_count: 0,
+    display_state: "empty",
+    latest: null,
+    observed_at: "2026-11-04T00:00:00Z",
+  });
+  processing.mockResolvedValue({
+    running: 0,
+    pending: 10,
+    pipeline: { mode: "lite" },
+  });
+  sedimentation.mockResolvedValue({
+    enabled: false,
+    pending_retained: true,
+    imports_unaffected: true,
+  });
+
+  render(
+    <ApplicationsHome
+      imports={imports}
+      onManage={() => {}}
+      onMemories={() => {}}
+      onSettings={() => {}}
+    />,
+  );
+
+  expect(await screen.findAllByText("正在保存")).toHaveLength(2);
+  expect(screen.getByText("暂无更新")).toBeTruthy();
+  expect(screen.getByText("已核对，暂无可显示的原始对话更新")).toBeTruthy();
+  expect(screen.getByText("原始对话持续保存，不需要生成模型")).toBeTruthy();
+  expect(screen.queryByText("已暂停")).toBeNull();
+});
+
 it("keeps the import-in-progress empty state stable without a progress link", async () => {
   summary.mockResolvedValue({
     memory_count: 0,
@@ -1312,7 +1610,7 @@ it("keeps the conversation-sync checking copy before the first home read", () =>
   expect(screen.queryByText(/个应用已开启/)).toBeNull();
 });
 
-it("shows a provisional zero while the first summary read is pending", async () => {
+it("shows an unknown dash while the first projection read is pending", async () => {
   summary.mockImplementation(() => new Promise(() => {}));
   history.mockResolvedValue({
     available: true,
@@ -1329,7 +1627,7 @@ it("shows a provisional zero while the first summary read is pending", async ()
     />,
   );
   await screen.findByText("正在准备记忆概览");
-  expect(screen.getByText("0")).toBeTruthy();
+  expect(screen.getByText("—")).toBeTruthy();
   expect(screen.getByText("正在核对本机记忆…")).toBeTruthy();
   expect(screen.queryByText("还没有已生成的记忆")).toBeNull();
 });

memhub/apps/web/src/ApplicationsHome.tsx

@@ -1,4 +1,5 @@
 import type {
+  HomeProjectionV1,
   HostHomeSummary,
   LiveSyncHealth,
   MemoryProcessingSummary,
@@ -8,7 +9,15 @@ import { type GuiLocale, isMessageKey } from "@one-memory/i18n";
 import { ArrowLeft, ArrowRight } from "lucide-react";
 import { useEffect, useId, useLayoutEffect, useRef, useState } from "react";
 import { flushSync } from "react-dom";
-import { getHomeSummary, getLiveSyncHealth, getMemoryProcessing } from "./api";
+import {
+  getHomeProjection,
+  getHomeSummary,
+  getLiveSyncHealth,
+  getMemoryMode,
+  getMemoryProcessing,
+  getSdkRaw,
+  homeProjectionUnsupported,
+} from "./api";
 import { AppMark } from "./app-mark";
 import {
   type CallEvent,
@@ -17,6 +26,13 @@ import {
   callRowDetail,
   getCallHistory,
 } from "./call-history-client";
+import {
+  commitConfirmedMemoryMode,
+  confirmedMemoryModeSnapshot,
+  isConfirmedModeTicketCurrent,
+  issueConfirmedModeTicket,
+  useConfirmedMemoryMode,
+} from "./confirmed-memory-mode";
 import { hostMatchesSource, sameConnectionHost } from "./connection-hosts";
 import { readConnectionPreferences } from "./connection-preferences";
 import {
@@ -27,6 +43,10 @@ import {
 } from "./connection-reconcile";
 import { useGuiLanguage } from "./gui-language";
 import { HomeCardBoundary } from "./HomeCardBoundary";
+import {
+  buildHomeViewModel,
+  type HomeProjectionReadState,
+} from "./home-view-model";
 import {
   hostBridgeAvailable,
   hostConnectionApproved,
@@ -85,6 +105,17 @@ function stamped(value: string, locale: GuiLocale, t: Translate, suffix = "") {
   return `${parts.today ? t("apps.today") : ""}${parts.clock}${suffix}`;
 }
 
+function projectionTimeBasisLabel(
+  basis: string | null,
+  t: Translate,
+): string | null {
+  if (basis === "conversation") return t("apps.conversationTime");
+  if (basis === "import") return t("apps.importTime");
+  if (basis === "write") return t("apps.writeTime");
+  if (basis === "update") return t("apps.updateTime");
+  return null;
+}
+
 type ActivityChoice = "call" | "update";
 
 function sourceMatchesHost(sourceId: string, hostId: string | null) {
@@ -167,7 +198,6 @@ function SourceMark({ source }: { source: SourceResponse }) {
 export function ApplicationsHome({
   imports,
   onManage,
-  onMemories,
   onCalls,
   active = true,
 }: {
@@ -192,6 +222,11 @@ export function ApplicationsHome({
   const hostStale = hostQuery.isError && hostQuery.data !== undefined;
   const auto = useAutoConnect();
   const sedimentation = useSedimentation();
+  const confirmedMode = useConfirmedMemoryMode();
+  const [projection, setProjection] = useState<HomeProjectionV1 | null>(null);
+  const [projectionState, setProjectionState] =
+    useState<HomeProjectionReadState>("loading");
+  const [legacyCore, setLegacyCore] = useState(false);
   const [summary, setSummary] = useState<HostHomeSummary | null>(null);
   const [processing, setProcessing] = useState<MemoryProcessingSummary | null>(
     null,
@@ -278,6 +313,7 @@ export function ApplicationsHome({
   const [expanded, setExpanded] = useState(retained.expanded);
   const [phase, setPhase] = useState("idle");
   const [revision, setRevision] = useState(0);
+  const confirmedModeSeen = useRef(confirmedMode);
   const expandButton = useRef<HTMLButtonElement>(null);
   const backButton = useRef<HTMLButtonElement>(null);
   const root = useRef<HTMLElement>(null);
@@ -538,6 +574,18 @@ export function ApplicationsHome({
     .map((s) => `${s.source_id}:${s.authorized}:${s.grant_revision}`)
     .join("|");
   const requestKey = `${sourceVersion}:${revision}`;
+  useEffect(() => {
+    const previous = confirmedModeSeen.current;
+    if (previous.revision === confirmedMode.revision) return;
+    confirmedModeSeen.current = confirmedMode;
+    // The first confirmed mode accompanies the first self-consistent
+    // projection. There is no old-mode projection to hide yet.
+    if (previous.mode === null) return;
+    setProjection(null);
+    setSummary(null);
+    setProjectionState("loading");
+    if (active) setRevision((value) => value + 1);
+  }, [active, confirmedMode]);
   // requestKey retriggers this read when the source snapshot or a manual retry changes.
   // biome-ignore lint/correctness/useExhaustiveDependencies: requestKey is the refresh token
   useEffect(() => {
@@ -547,8 +595,9 @@ export function ApplicationsHome({
     async function refresh() {
       if (busy || document.hidden) return;
       busy = true;
+      const homeTicket = issueConfirmedModeTicket("home");
       const [home, state, sync] = await Promise.allSettled([
-        getHomeSummary(),
+        getHomeProjection(),
         getMemoryProcessing(),
         getLiveSyncHealth(),
         refreshSedimentation(),
@@ -556,17 +605,99 @@ export function ApplicationsHome({
       busy = false;
       if (stopped) return;
       if (home.status === "fulfilled") {
-        // stale=true 表示这轮读取超时，数字不代表现状：保留上一次的概览，
-        // 等 10 秒后的下一轮轮询补上。重复 stale 仍要进入可恢复状态，
-        // 不能永远停在“正在核对”。
-        if (!("stale" in home.value) || !home.value.stale) {
-          setSummaryFailures(0);
-          setSummary(home.value);
-        } else {
-          setSummaryFailures((count) => count + 1);
-        }
+        if (
+          !commitConfirmedMemoryMode(
+            home.value.effective_mode,
+            homeTicket,
+            home.value.capabilities,
+          )
+        )
+          return;
+        setLegacyCore(false);
+        setSummaryFailures(0);
+        setProjection(home.value);
+        setProjectionState("ready");
       } else {
-        setSummaryFailures((count) => count + 1);
+        if (homeProjectionUnsupported(home.reason)) {
+          setLegacyCore(true);
+          try {
+            const modeTicket = issueConfirmedModeTicket("home");
+            const modeResult = await getMemoryMode();
+            if (stopped) return;
+            const modeAccepted = commitConfirmedMemoryMode(
+              modeResult.mode,
+              modeTicket,
+            );
+            const effectiveMode = modeAccepted
+              ? modeResult.mode
+              : confirmedMemoryModeSnapshot().mode;
+            if (effectiveMode === "lite") {
+              const raw = await getSdkRaw({ limit: 1 });
+              if (stopped || !isConfirmedModeTicketCurrent(modeTicket)) return;
+              setProjection({
+                projection_version: 1,
+                user_id: raw.user_id ?? "local",
+                effective_mode: "lite",
+                capabilities: {
+                  content_plane: "raw",
+                  generation_required: false,
+                  graph_enabled: false,
+                  evolve_available: false,
+                },
+                visible_count: raw.total,
+                display_state: raw.total > 0 ? "no_user_excerpt" : "empty",
+                latest: null,
+                observed_at: new Date().toISOString(),
+              });
+              setSummaryFailures(0);
+              setProjectionState("ready");
+              return;
+            }
+            const legacy = await getHomeSummary();
+            if (stopped || !isConfirmedModeTicketCurrent(modeTicket)) return;
+            if (!("stale" in legacy) || !legacy.stale) {
+              setSummary(legacy);
+              setSummaryFailures(0);
+              setProjectionState("ready");
+            } else {
+              setSummaryFailures((count) => {
+                const next = count + 1;
+                setProjectionState((current) =>
+                  next < 2
+                    ? current
+                    : current === "ready" || current === "stale"
+                      ? "stale"
+                      : "unavailable",
+                );
+                return next;
+              });
+            }
+          } catch {
+            setSummaryFailures((count) => {
+              const next = count + 1;
+              setProjectionState((current) =>
+                next < 2
+                  ? current
+                  : current === "ready" || current === "stale"
+                    ? "stale"
+                    : "unavailable",
+              );
+              return next;
+            });
+          }
+        } else {
+          setSummaryFailures((count) => {
+            const next = count + 1;
+            setProjectionState((current) =>
+              next < 2
+                ? current
+                : current === "ready" || current === "stale"
+                  ? "stale"
+                  : "unavailable",
+            );
+            return next;
+          });
+        }
       }
       if (state.status === "fulfilled") setProcessing(state.value);
       if (sync.status === "fulfilled") setSyncHealth(sync.value);
@@ -582,10 +713,31 @@ export function ApplicationsHome({
       stop();
     };
   }, [active, requestKey]);
-  const visible = summary;
-  const latest = visible?.latest;
-  const summaryUnavailable = visible === null && summaryFailures >= 2;
-  const summaryStale = visible !== null && summaryFailures >= 2;
+  const modeChangedPending =
+    confirmedModeSeen.current.mode !== null &&
+    confirmedModeSeen.current.revision !== confirmedMode.revision;
+  const effectiveProjection = modeChangedPending ? null : projection;
+  const visible = modeChangedPending ? null : summary;
+  const historyImporting = imports.jobs.some(
+    (job) => job.status === "running" || job.status === "pending",
+  );
+  const viewModel = buildHomeViewModel({
+    projection: effectiveProjection,
+    projectionState: modeChangedPending ? "loading" : projectionState,
+    confirmedMode: confirmedMode.mode,
+    legacySummary: legacyCore ? visible : null,
+    processing,
+    sedimentation: sedimentation ?? null,
+    recentCall,
+    importsRunning: historyImporting,
+    hostState,
+    syncEnabledCount: imports.sources.filter(
+      (source) => source.authorized && source.sync_enabled,
+    ).length,
+  });
+  const latest = viewModel.recent;
+  const summaryUnavailable = viewModel.state === "unavailable";
+  const summaryStale = viewModel.state === "stale";
   const hasCall =
     recentCall !== null &&
     (callState === "ready" || callState === "incomplete");
@@ -599,9 +751,6 @@ export function ApplicationsHome({
     activityView !== null && availableActivities.includes(activityView)
       ? activityView
       : null;
-  const historyImporting = imports.jobs.some(
-    (job) => job.status === "running" || job.status === "pending",
-  );
   const recentCallSourceId = (recentCall?.references ?? []).find(
     (reference) => reference.source_id,
   )?.source_id;
@@ -616,72 +765,46 @@ export function ApplicationsHome({
     : null;
   const attention = callAttention(callEvents);
   const attentionHost = attention ? callHostName(attention.host, locale) : null;
+  const baseActivity =
+    viewModel.activity.kind === "update"
+      ? ("memory" as const)
+      : viewModel.activity.kind;
   const activity = summaryUnavailable
     ? "unavailable"
-    : visible === null
-      ? "loading"
-      : pinned === "call"
-        ? "call"
-        : pinned === "update"
+    : pinned === "call"
+      ? "call"
+      : pinned === "update"
+        ? updateKind
+        : updateKind
           ? updateKind
-          : updateKind
-            ? updateKind
-            : hasCall
-              ? "call"
-              : callState === "unavailable"
-                ? "unavailable"
-                : historyImporting
-                  ? "importing"
-                  : callState === "loading"
-                    ? recentCall !== null
-                      ? "call"
-                      : "loading"
-                    : processing?.running
-                      ? "first-running"
-                      : processing?.pending || processing?.waiting_for_model
-                        ? "first-queued"
-                        : "empty";
+          : hasCall
+            ? "call"
+            : callState === "unavailable"
+              ? "unavailable"
+              : callState === "loading" && recentCall !== null
+                ? "call"
+                : baseActivity;
   const apps = imports.sources.filter(
     (s) => s.authorized || s.detected === true || s.location_state === "found",
   );
-  const stateLabel =
-    sedimentation?.enabled === true
-      ? t("apps.running")
-      : sedimentation?.enabled === false
-        ? t("apps.paused")
-        : t("apps.checkingStatus");
-  const stateDetail =
-    sedimentation?.enabled === false
-      ? t("apps.stoppedNew")
-      : sedimentation?.enabled === true
-        ? t("apps.organizingNew")
-        : t("apps.checkingProcessing");
-  const latestUpdatedAt =
-    latest === null || latest === undefined
-      ? null
-      : "revision" in latest
-        ? latest.updated_at
-        : latest.gmt_created === null
-          ? null
-          : new Date(latest.gmt_created * 1000).toISOString();
+  const stateLabel = t(viewModel.processingLabel as never);
+  const stateDetail = t(viewModel.processingDetail as never);
+  const latestUpdatedAt = latest?.time ?? null;
   const latestClock = latestUpdatedAt
     ? clockParts(latestUpdatedAt, locale)
     : null;
-  const latestSourceIds =
-    latest === null || latest === undefined
-      ? []
-      : "revision" in latest
-        ? latest.source_ids
-        : latest.source
-          ? [latest.source]
-          : [];
+  const latestSourceIds = latest?.sourceId ? [latest.sourceId] : [];
   const latestSourceNames = latestSourceIds.map(
     (id) =>
       imports.sources.find((source) => source.source_id === id)?.display_name ??
       id,
   );
   const time = latestClock?.clock ?? (latest ? t("apps.unknownTime") : null);
-  const checked = visible ? clockParts(visible.observed_at, locale) : null;
+  const checked = effectiveProjection
+    ? clockParts(effectiveProjection.observed_at, locale)
+    : visible
+      ? clockParts(visible.observed_at, locale)
+      : null;
   // A failed read leaves the last health in place on purpose: clearing it would
   // drop the instance it names, and that instance is what keeps memory writes
   // and backfill receipts attached to the run that produced them. So the card
@@ -784,7 +907,7 @@ export function ApplicationsHome({
     ? tn("apps.enabledCount", authorizedSyncSources.length)
     : syncApplyFailed
       ? t("apps.enableFailed")
-      : wantsSync || !visible
+      : wantsSync || viewModel.state === "loading"
         ? t("apps.checkingState")
         : t("apps.notEnabled");
   function toggleAll(next: boolean) {
@@ -832,29 +955,31 @@ export function ApplicationsHome({
             </header>
             <div className="r6-home-metrics">
               <div role="status" aria-live="polite" aria-atomic="true">
-                <p>{t("apps.memories")}</p>
+                <p>{t(viewModel.countLabel)}</p>
                 <p className="r6-home-figure">
                   <strong>
-                    {new Intl.NumberFormat(locale).format(
-                      visible?.memory_count ?? 0,
-                    )}
+                    {viewModel.count === null
+                      ? "—"
+                      : new Intl.NumberFormat(locale).format(viewModel.count)}
                   </strong>
-                  {t("apps.unit") ? <i>{t("apps.unit")}</i> : null}
+                  {viewModel.count !== null && t("apps.unit") ? (
+                    <i>{t("apps.unit")}</i>
+                  ) : null}
                 </p>
                 <small>
-                  {visible
+                  {viewModel.state !== "loading"
                     ? summaryStale
                       ? t("apps.showingPrevious")
-                      : t("apps.scope")
+                      : t(viewModel.countDetail)
                     : summaryUnavailable
                       ? t("apps.countWillUpdate")
                       : summaryFailures
                         ? t("apps.startingRetry")
-                        : t("apps.readingCount")}
+                        : t(viewModel.countDetail)}
                 </small>
               </div>
               <div>
-                <p>{t("apps.processing")}</p>
+                <p>{t(viewModel.processingTitle)}</p>
                 <strong className="r6-home-word">{stateLabel}</strong>
                 <small>{stateDetail}</small>
               </div>
@@ -862,16 +987,14 @@ export function ApplicationsHome({
                 <p>{t("apps.recentUpdate")}</p>
                 <strong className={time ? "r6-home-time" : "r6-home-word"}>
                   {time ??
-                    (visible
-                      ? t("apps.notGenerated")
-                      : t("apps.checkingRecent"))}
+                    (viewModel.recentMetric.valueKey
+                      ? t(viewModel.recentMetric.valueKey)
+                      : "")}
                 </strong>
                 <small>
                   {time
-                    ? `${latestClock?.today ? `${t("apps.today")}· ` : ""}${t("apps.saved")}`
-                    : visible
-                      ? t("apps.separate")
-                      : t("apps.recentWillUpdate")}
+                    ? `${latestClock?.today ? `${t("apps.today")}· ` : ""}${t(viewModel.recentMetric.detailKey)}`
+                    : t(viewModel.recentMetric.detailKey)}
                 </small>
               </div>
             </div>
@@ -905,7 +1028,7 @@ export function ApplicationsHome({
                       ? t("apps.recentCall")
                       : activity === "memory"
                         ? t("apps.recentUpdate")
-                        : t("apps.firstBatch")}
+                        : t(viewModel.activity.headingKey)}
                 </p>
               )}
               <div>
@@ -935,7 +1058,13 @@ export function ApplicationsHome({
                   })()
                 ) : null}
                 <section>
-                  <h3>
+                  <h3
+                    className={
+                      activity === "memory" && latest?.kind === "raw"
+                        ? "r6-home-raw-excerpt"
+                        : undefined
+                    }
+                  >
                     {activity === "unavailable"
                       ? callState === "unavailable"
                         ? t("apps.callsUnavailable")
@@ -947,16 +1076,12 @@ export function ApplicationsHome({
                             locale,
                           )
                         : activity === "memory" && latest
-                          ? `${latest.content}${"truncated" in latest && latest.truncated ? "…" : ""}`
-                          : activity === "importing"
-                            ? t("apps.importing")
-                            : activity === "first-running"
-                              ? t("apps.firstRunning")
-                              : activity === "first-queued"
-                                ? t("apps.firstQueued")
-                                : activity === "loading"
-                                  ? t("apps.readingActivity")
-                                  : t("apps.emptyMemories")}
+                          ? latest.emptyExcerpt
+                            ? t("apps.rawNoExcerpt")
+                            : latest.excerpt
+                          : viewModel.activity.titleKey
+                            ? t(viewModel.activity.titleKey)
+                            : ""}
                   </h3>
                   <small>
                     {activity === "unavailable"
@@ -966,14 +1091,24 @@ export function ApplicationsHome({
                       : activity === "call" && recentCall
                         ? `${recentCallHostName} · ${stamped(recentCall.occurred_at, locale, t)} · ${callRowDetail(recentCall, locale)}${callState === "incomplete" ? t("apps.incompleteCalls") : ""}`
                         : activity === "memory" && latest
-                          ? [time, latestSourceNames.join(", ")]
+                          ? (latest.kind === "raw"
+                              ? [
+                                  t("apps.rawConversation"),
+                                  latestSourceNames.join(", "),
+                                  projectionTimeBasisLabel(latest.timeBasis, t),
+                                  time,
+                                ]
+                              : [
+                                  time,
+                                  latestSourceNames.join(", "),
+                                  projectionTimeBasisLabel(latest.timeBasis, t),
+                                ]
+                            )
                               .filter(Boolean)
                               .join(" · ")
-                          : activity === "importing"
-                            ? t("apps.savingConversations")
-                            : activity === "loading"
-                              ? t("apps.recentWillUpdate")
-                              : t("apps.waitingMemories")}
+                          : viewModel.activity.detailKey
+                            ? t(viewModel.activity.detailKey)
+                            : ""}
                   </small>
                 </section>
                 {(activity === "unavailable" ||
@@ -987,16 +1122,12 @@ export function ApplicationsHome({
                             setRevision((n) => n + 1);
                             setCallRevision((n) => n + 1);
                           }
-                        : activity === "call"
-                          ? onCalls
-                          : () => onMemories(latest?.memory_id)
+                        : onCalls
                     }
                   >
                     {activity === "unavailable"
                       ? t("apps.reread")
-                      : activity === "call"
-                        ? t("apps.viewCalls")
-                        : t("apps.viewMemory")}
+                      : t("apps.viewCalls")}
                     {activity === "unavailable" ? null : (
                       <ArrowRight size={14} aria-hidden="true" />
                     )}
@@ -1049,8 +1180,12 @@ export function ApplicationsHome({
                 <dd>{syncState}</dd>
               </div>
               <div>
-                <dt>{t("apps.organizing")}</dt>
-                <dd>{stateLabel}</dd>
+                <dt>{t(viewModel.organizingTitle)}</dt>
+                <dd>{t(viewModel.organizingLabel as never)}</dd>
+              </div>
+              <div>
+                <dt>{t("apps.currentMode")}</dt>
+                <dd>{viewModel.currentModeLabel}</dd>
               </div>
               <div>
                 <dt>{t("apps.access")}</dt>

memhub/apps/web/src/CallHistory.test.tsx

@@ -159,7 +159,9 @@ it("traduce el historial en vivo sin cambiar nombres ni contenido importado", as
   expect(
     screen.getByRole("heading", { name: "Historial de uso" }),
   ).toBeTruthy();
-  expect(first.textContent).toBe("Cursor encontró 3 contenidos relacionados");
+  expect(first.textContent).toBe(
+    "Cursor encontró 1 memoria · 2 conversaciones originales",
+  );
   fireEvent.click(first);
   expect(
     screen.getByRole("heading", { name: "Esta consulta de memorias" }),
@@ -364,7 +366,7 @@ it("shows exact identity, timestamp, result counts and metadata-only references"
   ).toBeTruthy();
   expect(
     within(detail).getByText((value) =>
-      value.includes("Cursor 查到 3 条相关内容"),
+      value.includes("Cursor 找到 1 条记忆 · 2 条原始会话"),
     ),
   ).toBeTruthy();
   expect(within(detail).getAllByText("source-1").length).toBeGreaterThan(0);
@@ -465,13 +467,9 @@ it("keeps detail bound to event ID across refresh reordering, then removes missi
 });
 
 it.each([
-  ["grounded", "查询成功", "直接调用（诊断） 查到 0 条相关内容"],
+  ["grounded", "查询成功", "直接调用（诊断） 调用已完成"],
   ["empty", "查询成功，没有找到相关记忆", "直接调用（诊断） 没有查到相关记忆"],
-  [
-    "partial",
-    "查询成功，部分内容还在整理中",
-    "直接调用（诊断） 查到 0 条相关内容",
-  ],
+  ["partial", "查询成功，部分内容还在整理中", "直接调用（诊断） 调用已完成"],
   [
     "timed_out",
     "查询超时，没有提供记忆",
@@ -546,11 +544,13 @@ it.each(["om_recall", "om_conversations", "om_ask", "om_matters"] as const)(
     mount();
     expect(
       await screen.findByRole("button", {
-        name: "Cursor 查到 3 条相关内容",
+        name: "Cursor 找到 1 条记忆 · 2 条原始会话",
       }),
     ).toBeTruthy();
     fireEvent.click(
-      screen.getByRole("button", { name: "Cursor 查到 3 条相关内容" }),
+      screen.getByRole("button", {
+        name: "Cursor 找到 1 条记忆 · 2 条原始会话",
+      }),
     );
     expect(
       within(screen.getByRole("article")).getByText("查记忆"),

memhub/apps/web/src/EmbeddingSwitchExperience.test.tsx

@@ -0,0 +1,289 @@
+// @vitest-environment jsdom
+
+import type {
+  EmbeddingSwitchCurrent,
+  EmbeddingSwitchJob,
+  EmbeddingSwitchPlan,
+} from "@one-memory/contracts";
+import { cleanup, render, screen, waitFor } from "@testing-library/react";
+import userEvent from "@testing-library/user-event";
+import { afterEach, expect, it, vi } from "vitest";
+
+const cancelCurrentSwitch = vi.fn();
+let current: EmbeddingSwitchCurrent | null = null;
+
+vi.mock("./use-embedding-switch", () => ({
+  useEmbeddingSwitch: () => ({
+    current,
+    busy: null,
+    cancelCurrentSwitch,
+  }),
+}));
+vi.mock("./api", () => ({
+  deleteRetiredEmbeddingSpace: vi.fn(),
+}));
+
+import {
+  EmbeddingSwitchConfirmDialog,
+  EmbeddingSwitchGlobalStatus,
+} from "./EmbeddingSwitchExperience";
+import { LANGUAGE_STORAGE_KEY, LanguageProvider } from "./gui-language";
+
+const NOW = "2026-11-03T09:00:00Z";
+const space = (id: string | null, model: string) => ({
+  space_id: id,
+  model,
+  dims: model === "old-search" ? 512 : 1024,
+  collection_base: id ? "memory" : "",
+  vectors: id ? 8421 : null,
+});
+const plan: EmbeddingSwitchPlan = {
+  needed: true,
+  reason: "embedding_identity_changed",
+  plan_token: "token",
+  source: space("space-old", "old-search"),
+  target: space(null, "new-search"),
+  target_profile_id: "profile-1",
+  target_revision: 2,
+  target_provider_kind: "openai_compatible",
+  target_local: false,
+  sources: [
+    {
+      space_id: "space-old",
+      collection_base: "memory",
+      dims: 512,
+      vectors: 8421,
+      unmerged: null,
+    },
+  ],
+  total_vectors: 8421,
+  users: 1,
+  graph_vectors: null,
+  estimate_s: 120,
+  requests: 43,
+  disk_bytes_needed: 72 * 1024 * 1024,
+  disk_bytes_free: 1024 * 1024 * 1024,
+  retention_days: 14,
+  blockers: [],
+};
+const job: EmbeddingSwitchJob = {
+  job_id: "job-1",
+  kind: "switch",
+  state: "reembedding",
+  source: space("space-old", "old-search"),
+  target: space("space-new", "new-search"),
+  stray_space_ids: [],
+  target_profile_id: "profile-1",
+  target_revision: 2,
+  requested_by: "app",
+  progress: {
+    phase: "vectors",
+    done: 4884,
+    total: 8421,
+    percent: 58,
+    embedded: 4884,
+    reused: 0,
+    kept: 0,
+    role: "memory",
+    source_index: 0,
+    sources: 1,
+    rate_per_s: 90,
+    eta_s: 52,
+    updated_at: NOW,
+  },
+  cancel_requested: false,
+  error_code: null,
+  attempt: 1,
+  created_at: NOW,
+  updated_at: NOW,
+  finished_at: null,
+};
+
+afterEach(() => {
+  cleanup();
+  current = null;
+  localStorage.removeItem(LANGUAGE_STORAGE_KEY);
+  vi.clearAllMocks();
+});
+
+it("switches Chinese, Spanish, and English without leaking Chinese", async () => {
+  localStorage.setItem(LANGUAGE_STORAGE_KEY, "zh-Hans");
+  const view = render(
+    <LanguageProvider>
+      <EmbeddingSwitchConfirmDialog
+        plan={{ ...plan, users: 2 }}
+        busy={false}
+        errorCode={null}
+        onCancel={vi.fn()}
+        onStart={vi.fn()}
+      />
+    </LanguageProvider>,
+  );
+
+  await waitFor(() =>
+    expect(
+      screen.getByRole("heading", { name: "更新记忆搜索索引？" }),
+    ).toBeTruthy(),
+  );
+
+  localStorage.setItem(LANGUAGE_STORAGE_KEY, "es");
+  window.dispatchEvent(
+    new StorageEvent("storage", { key: LANGUAGE_STORAGE_KEY }),
+  );
+  await waitFor(() =>
+    expect(
+      screen.getByRole("heading", {
+        name: "¿Actualizar el índice de búsqueda de memorias?",
+      }),
+    ).toBeTruthy(),
+  );
+  expect(view.container.textContent).not.toMatch(/[一-鿿]/);
+  expect(view.container.textContent).toContain("8421");
+
+  localStorage.setItem(LANGUAGE_STORAGE_KEY, "en");
+  window.dispatchEvent(
+    new StorageEvent("storage", { key: LANGUAGE_STORAGE_KEY }),
+  );
+  await waitFor(() =>
+    expect(
+      screen.getByRole("heading", {
+        name: "Update the memory search index?",
+      }),
+    ).toBeTruthy(),
+  );
+  expect(view.container.textContent).not.toMatch(/[一-鿿]/);
+  expect(view.container.textContent).toContain("8,421");
+});
+
+it("explains the index update in user terms before exposing technical details", async () => {
+  const onStart = vi.fn();
+  render(
+    <EmbeddingSwitchConfirmDialog
+      plan={plan}
+      busy={false}
+      errorCode={null}
+      onCancel={vi.fn()}
+      onStart={onStart}
+    />,
+  );
+
+  expect(
+    screen.getByRole("heading", { name: "更新记忆搜索索引？" }),
+  ).toBeTruthy();
+  expect(screen.getByText("8,421 条")).toBeTruthy();
+  expect(screen.getByText("约 2 分钟")).toBeTruthy();
+  expect(screen.getByText(/失败或取消时仍使用原来的模型/)).toBeTruthy();
+  await userEvent.click(screen.getByText("查看技术详情"));
+  expect(screen.getByText("512 → 1024")).toBeTruthy();
+  await userEvent.click(screen.getByRole("button", { name: "开始更新索引" }));
+  expect(onStart).toHaveBeenCalledTimes(1);
+});
+
+it("blocks start when Core reports a prerequisite", () => {
+  render(
+    <EmbeddingSwitchConfirmDialog
+      plan={{ ...plan, blockers: ["insufficient_disk_space"] }}
+      busy={false}
+      errorCode={null}
+      onCancel={vi.fn()}
+      onStart={vi.fn()}
+    />,
+  );
+  expect(screen.getByText(/剩余空间不足/)).toBeTruthy();
+  expect(screen.getByRole("button", { name: "开始更新索引" })).toHaveProperty(
+    "disabled",
+    true,
+  );
+});
+
+it("keeps a running switch visible and cancellable outside settings", async () => {
+  current = {
+    schema_version: 1,
+    phase: "running",
+    writes_paused: true,
+    scan_state: "done",
+    scan_error: null,
+    job,
+    last_finished: null,
+  };
+  render(
+    <EmbeddingSwitchGlobalStatus
+      onConfigureSearch={vi.fn()}
+      onDiagnostics={vi.fn()}
+    />,
+  );
+
+  expect(screen.getByText("正在更新记忆索引")).toBeTruthy();
+  expect(screen.getByRole("progressbar").getAttribute("aria-valuenow")).toBe(
+    "58",
+  );
+  await userEvent.click(screen.getByRole("button", { name: "取消更新" }));
+  expect(cancelCurrentSwitch).toHaveBeenCalledTimes(1);
+});
+
+it("shows startup index inspection without blocking the rest of the app", () => {
+  current = {
+    schema_version: 1,
+    phase: "scanning",
+    writes_paused: true,
+    scan_state: "scanning",
+    scan_error: null,
+    job: null,
+    last_finished: null,
+  };
+  render(
+    <EmbeddingSwitchGlobalStatus
+      onConfigureSearch={vi.fn()}
+      onDiagnostics={vi.fn()}
+    />,
+  );
+
+  expect(screen.getByText("正在检查本机的记忆搜索索引")).toBeTruthy();
+  expect(screen.getByText(/搜索仍可使用/)).toBeTruthy();
+});
+
+it("explains rollback safety and gives recovery actions", async () => {
+  current = {
+    schema_version: 1,
+    phase: "running",
+    writes_paused: true,
+    scan_state: "done",
+    scan_error: null,
+    job,
+    last_finished: null,
+  };
+  const onConfigureSearch = vi.fn();
+  const onDiagnostics = vi.fn();
+  const view = render(
+    <EmbeddingSwitchGlobalStatus
+      onConfigureSearch={onConfigureSearch}
+      onDiagnostics={onDiagnostics}
+    />,
+  );
+
+  current = {
+    schema_version: 1,
+    phase: "idle",
+    writes_paused: false,
+    scan_state: "done",
+    scan_error: null,
+    job: null,
+    last_finished: {
+      ...job,
+      state: "rolled_back",
+      error_code: "embedding_service_failed",
+      progress: { ...job.progress, phase: "done" },
+      finished_at: NOW,
+    },
+  };
+  view.rerender(
+    <EmbeddingSwitchGlobalStatus
+      onConfigureSearch={onConfigureSearch}
+      onDiagnostics={onDiagnostics}
+    />,
+  );
+
+  await waitFor(() => expect(screen.getByText(/记忆没有丢失/)).toBeTruthy());
+  await userEvent.click(screen.getByRole("button", { name: "检查连接" }));
+  expect(onConfigureSearch).toHaveBeenCalledTimes(1);
+});

memhub/apps/web/src/EmbeddingSwitchExperience.tsx

@@ -0,0 +1,480 @@
+import type {
+  EmbeddingSwitchCurrent,
+  EmbeddingSwitchJob,
+  EmbeddingSwitchPlan,
+} from "@one-memory/contracts";
+import type { GuiLocale, MessageKey } from "@one-memory/i18n";
+import { ChevronDown, CircleAlert, X } from "lucide-react";
+import { useEffect, useRef, useState } from "react";
+import { deleteRetiredEmbeddingSpace } from "./api";
+import { useGuiLanguage } from "./gui-language";
+import { R6Button } from "./R6Controls";
+import { useEmbeddingSwitch } from "./use-embedding-switch";
+import "./embedding-switch.css";
+
+type Translator = (
+  key: MessageKey,
+  params?: Record<string, string | number>,
+) => string;
+
+function count(locale: GuiLocale, value: number | null | undefined) {
+  return new Intl.NumberFormat(locale).format(value ?? 0);
+}
+
+function duration(locale: GuiLocale, t: Translator, seconds: number | null) {
+  if (seconds === null) return t("embeddingSwitch.duration.unknown");
+  const value = Math.max(1, Math.round(seconds < 60 ? seconds : seconds / 60));
+  return t(
+    seconds < 60
+      ? "embeddingSwitch.duration.seconds"
+      : "embeddingSwitch.duration.minutes",
+    { count: count(locale, value) },
+  );
+}
+
+function size(locale: GuiLocale, bytes: number) {
+  const megabytes = bytes >= 1024 * 1024;
+  const value = Math.ceil(bytes / 1024 / (megabytes ? 1024 : 1));
+  return `${count(locale, value)} ${megabytes ? "MB" : "KB"}`;
+}
+
+const blockerKeys: Record<string, MessageKey> = {
+  embedding_probe_required: "embeddingSwitch.blocker.embedding_probe_required",
+  embedding_dimensions_unknown:
+    "embeddingSwitch.blocker.embedding_dimensions_unknown",
+  embedding_switch_requires_migration:
+    "embeddingSwitch.blocker.embedding_switch_requires_migration",
+  sdk_reembed_unavailable: "embeddingSwitch.blocker.sdk_reembed_unavailable",
+  insufficient_disk_space: "embeddingSwitch.blocker.insufficient_disk_space",
+  embedding_switch_running: "embeddingSwitch.blocker.embedding_switch_running",
+  memory_lifecycle_busy: "embeddingSwitch.blocker.memory_lifecycle_busy",
+};
+
+const failureKeys: Record<string, MessageKey> = {
+  writes_did_not_drain: "embeddingSwitch.failure.writes_did_not_drain",
+  embedding_service_failed: "embeddingSwitch.failure.embedding_service_failed",
+  embedding_dimensions_mismatch:
+    "embeddingSwitch.failure.embedding_dimensions_mismatch",
+  embedding_verification_failed:
+    "embeddingSwitch.failure.embedding_verification_failed",
+  target_profile_changed: "embeddingSwitch.failure.target_profile_changed",
+  embedding_switch_cancelled:
+    "embeddingSwitch.failure.embedding_switch_cancelled",
+  model_secret_unavailable: "embeddingSwitch.failure.model_secret_unavailable",
+  secure_storage_unavailable:
+    "embeddingSwitch.failure.secure_storage_unavailable",
+  embedding_switch_clients_busy:
+    "embeddingSwitch.failure.embedding_switch_clients_busy",
+};
+
+export function EmbeddingSwitchConfirmDialog({
+  plan,
+  busy,
+  errorCode,
+  onCancel,
+  onStart,
+}: {
+  plan: EmbeddingSwitchPlan;
+  busy: boolean;
+  errorCode: string | null;
+  onCancel(): void;
+  onStart(): void;
+}) {
+  const { locale, t } = useGuiLanguage();
+  const panel = useRef<HTMLElement>(null);
+  const blockers = plan.blockers.map((code) =>
+    t(blockerKeys[code] ?? "embeddingSwitch.blocker.default"),
+  );
+
+  useEffect(() => {
+    const opener =
+      document.activeElement instanceof HTMLElement
+        ? document.activeElement
+        : null;
+    panel.current
+      ?.querySelector<HTMLButtonElement>("button:not(:disabled)")
+      ?.focus();
+    return () => {
+      if (opener?.isConnected) opener.focus();
+    };
+  }, []);
+
+  return (
+    <div
+      className="r6-settings-dialog-layer embedding-switch-dialog-layer"
+      role="presentation"
+    >
+      <section
+        ref={panel}
+        className="r6-settings-dialog embedding-switch-dialog"
+        role="dialog"
+        aria-modal="true"
+        aria-labelledby="embedding-switch-title"
+        onKeyDown={(event) => {
+          if (event.key === "Escape" && !busy) onCancel();
+          if (event.key !== "Tab" || !panel.current) return;
+          const controls = [
+            ...panel.current.querySelectorAll<HTMLElement>(
+              "button:not(:disabled), summary, input:not(:disabled), select:not(:disabled)",
+            ),
+          ];
+          const first = controls[0];
+          const last = controls.at(-1);
+          if (!first || !last) return;
+          if (event.shiftKey && document.activeElement === first) {
+            event.preventDefault();
+            last.focus();
+          } else if (!event.shiftKey && document.activeElement === last) {
+            event.preventDefault();
+            first.focus();
+          }
+        }}
+      >
+        <header>
+          <div>
+            <h2 id="embedding-switch-title">
+              {t("embeddingSwitch.confirm.title")}
+            </h2>
+            <p>{t("embeddingSwitch.confirm.description")}</p>
+          </div>
+        </header>
+
+        <dl className="embedding-switch-impact">
+          <div>
+            <dt>{t("embeddingSwitch.impact.memories")}</dt>
+            <dd>
+              {t("embeddingSwitch.impact.memoryCount", {
+                count: count(locale, plan.total_vectors),
+              })}
+              {plan.users && plan.users > 1
+                ? t("embeddingSwitch.impact.userCount", {
+                    count: count(locale, plan.users),
+                  })
+                : ""}
+            </dd>
+          </div>
+          <div>
+            <dt>{t("embeddingSwitch.impact.duration")}</dt>
+            <dd>{duration(locale, t, plan.estimate_s)}</dd>
+          </div>
+          <div>
+            <dt>{t("embeddingSwitch.impact.requests")}</dt>
+            <dd>
+              {plan.target_local
+                ? t("embeddingSwitch.requests.none")
+                : plan.requests === null
+                  ? t("embeddingSwitch.requests.billed")
+                  : t("embeddingSwitch.requests.approx", {
+                      count: count(locale, plan.requests),
+                    })}
+            </dd>
+          </div>
+        </dl>
+
+        <div className="embedding-switch-safety">
+          <strong>{t("embeddingSwitch.safety.searchTitle")}</strong>
+          <p>{t("embeddingSwitch.safety.searchBody")}</p>
+          <strong>{t("embeddingSwitch.safety.dataTitle")}</strong>
+          <p>{t("embeddingSwitch.safety.dataBody")}</p>
+        </div>
+
+        <details className="embedding-switch-details">
+          <summary>
+            <ChevronDown size={14} aria-hidden="true" />
+            {t("embeddingSwitch.details.title")}
+          </summary>
+          <dl>
+            <div>
+              <dt>{t("embeddingSwitch.details.currentModel")}</dt>
+              <dd>
+                {plan.source.model ?? t("embeddingSwitch.details.legacyIndex")}
+              </dd>
+            </div>
+            <div>
+              <dt>{t("embeddingSwitch.details.newModel")}</dt>
+              <dd>
+                {plan.target.model ?? t("embeddingSwitch.details.pending")}
+              </dd>
+            </div>
+            <div>
+              <dt>{t("embeddingSwitch.details.dimensions")}</dt>
+              <dd>
+                {plan.source.dims ?? t("embeddingSwitch.details.unknown")} →{" "}
+                {plan.target.dims ?? t("embeddingSwitch.details.unknown")}
+              </dd>
+            </div>
+            <div>
+              <dt>{t("embeddingSwitch.details.disk")}</dt>
+              <dd>{size(locale, plan.disk_bytes_needed)}</dd>
+            </div>
+            <div>
+              <dt>{t("embeddingSwitch.details.retention")}</dt>
+              <dd>
+                {t("embeddingSwitch.details.days", {
+                  count: count(locale, plan.retention_days),
+                })}
+              </dd>
+            </div>
+          </dl>
+        </details>
+
+        {blockers.length > 0 ? (
+          <div className="embedding-switch-alert" role="alert">
+            <CircleAlert size={16} aria-hidden="true" />
+            <span>{blockers.join(" ")}</span>
+          </div>
+        ) : null}
+        {errorCode ? (
+          <div className="embedding-switch-alert" role="alert">
+            <CircleAlert size={16} aria-hidden="true" />
+            <span>
+              {errorCode === "embedding_switch_plan_stale"
+                ? t("embeddingSwitch.error.planStale")
+                : t("embeddingSwitch.error.startFailed")}
+            </span>
+          </div>
+        ) : null}
+
+        <footer>
+          <R6Button disabled={busy} onClick={onCancel}>
+            {t("embeddingSwitch.action.notNow")}
+          </R6Button>
+          <R6Button
+            variant="primary"
+            pending={busy}
+            disabled={blockers.length > 0}
+            onClick={onStart}
+          >
+            {t("embeddingSwitch.action.start")}
+          </R6Button>
+        </footer>
+      </section>
+    </div>
+  );
+}
+
+function jobTitle(t: Translator, job: EmbeddingSwitchJob) {
+  if (job.kind === "merge") return t("embeddingSwitch.job.merge");
+  if (job.state === "preparing") return t("embeddingSwitch.job.preparing");
+  if (job.state === "reembedding") return t("embeddingSwitch.job.reembedding");
+  if (job.state === "verifying") return t("embeddingSwitch.job.verifying");
+  if (job.state === "committing") return t("embeddingSwitch.job.committing");
+  if (job.state === "failed") return t("embeddingSwitch.job.failed");
+  return t("embeddingSwitch.job.default");
+}
+
+function canCancel(job: EmbeddingSwitchJob) {
+  return ["preparing", "reembedding", "verifying"].includes(job.state);
+}
+
+function ActiveSwitchBanner({
+  current,
+  onCancel,
+  cancelling,
+}: {
+  current: EmbeddingSwitchCurrent;
+  onCancel(): void;
+  cancelling: boolean;
+}) {
+  const { locale, t } = useGuiLanguage();
+  const job = current.job;
+  if (!job && current.phase !== "scanning") return null;
+  const percent = job?.progress.percent ?? 0;
+  return (
+    <aside className="embedding-switch-strip" aria-live="polite">
+      <div className="embedding-switch-strip-copy">
+        <strong>
+          {job ? jobTitle(t, job) : t("embeddingSwitch.job.scanning")}
+        </strong>
+        <span>
+          {job?.state === "failed"
+            ? t("embeddingSwitch.job.failedSafety")
+            : job
+              ? `${new Intl.NumberFormat(locale, {
+                  style: "percent",
+                  maximumFractionDigits: 0,
+                }).format(percent / 100)}${
+                  job.progress.eta_s === null
+                    ? ""
+                    : ` · ${duration(locale, t, job.progress.eta_s)}`
+                }`
+              : t("embeddingSwitch.job.scanPaused")}
+        </span>
+      </div>
+      {job ? (
+        <div
+          className="embedding-switch-progress"
+          role="progressbar"
+          aria-label={t("embeddingSwitch.progress.aria")}
+          aria-valuemin={0}
+          aria-valuemax={100}
+          aria-valuenow={Math.round(percent)}
+        >
+          <span style={{ width: `${Math.max(2, percent)}%` }} />
+        </div>
+      ) : null}
+      {job && canCancel(job) ? (
+        <R6Button variant="quiet" pending={cancelling} onClick={onCancel}>
+          {t("embeddingSwitch.action.cancel")}
+        </R6Button>
+      ) : null}
+    </aside>
+  );
+}
+
+export function EmbeddingSwitchGlobalStatus({
+  onConfigureSearch,
+  onDiagnostics,
+}: {
+  onConfigureSearch(): void;
+  onDiagnostics(): void;
+}) {
+  const { t } = useGuiLanguage();
+  const controller = useEmbeddingSwitch();
+  const [recent, setRecent] = useState<EmbeddingSwitchJob | null>(null);
+  const [cleaning, setCleaning] = useState(false);
+  const [cleanupError, setCleanupError] = useState(false);
+  const previousJob = useRef<string | null>(null);
+  const alive = useRef(true);
+
+  useEffect(
+    () => () => {
+      alive.current = false;
+    },
+    [],
+  );
+
+  useEffect(() => {
+    const open = controller.current?.job?.job_id ?? null;
+    if (
+      previousJob.current &&
+      !open &&
+      controller.current?.last_finished?.job_id === previousJob.current
+    ) {
+      setRecent(controller.current.last_finished);
+    }
+    previousJob.current = open;
+  }, [controller.current]);
+
+  return (
+    <>
+      {controller.current ? (
+        <ActiveSwitchBanner
+          current={controller.current}
+          cancelling={controller.busy === "cancel"}
+          onCancel={() => void controller.cancelCurrentSwitch()}
+        />
+      ) : null}
+      {controller.refreshFailed && controller.supported === true ? (
+        <aside className="embedding-switch-outcome is-error" role="status">
+          <div>
+            <strong>{t("embeddingSwitch.refresh.title")}</strong>
+            <span>{t("embeddingSwitch.refresh.body")}</span>
+          </div>
+          <R6Button variant="quiet" onClick={() => void controller.refresh()}>
+            {t("embeddingSwitch.action.refresh")}
+          </R6Button>
+        </aside>
+      ) : null}
+      {controller.current &&
+      ["failed", "unavailable"].includes(controller.current.scan_state) ? (
+        <aside className="embedding-switch-outcome is-error" role="alert">
+          <div>
+            <strong>{t("embeddingSwitch.scan.title")}</strong>
+            <span>
+              {controller.current.writes_paused
+                ? t("embeddingSwitch.scan.paused")
+                : t("embeddingSwitch.scan.recovered")}
+            </span>
+          </div>
+          <R6Button variant="quiet" onClick={onDiagnostics}>
+            {t("embeddingSwitch.action.diagnostics")}
+          </R6Button>
+        </aside>
+      ) : null}
+      {recent?.state === "done" ? (
+        <aside
+          className="embedding-switch-outcome"
+          role="status"
+          aria-live="polite"
+        >
+          <div>
+            <strong>{t("embeddingSwitch.success.title")}</strong>
+            <span>{t("embeddingSwitch.success.body")}</span>
+          </div>
+          <div className="embedding-switch-outcome-actions">
+            {recent.source.space_id ? (
+              <R6Button
+                variant="quiet"
+                pending={cleaning}
+                onClick={() => {
+                  if (!recent.source.space_id) return;
+                  setCleaning(true);
+                  setCleanupError(false);
+                  void deleteRetiredEmbeddingSpace(recent.source.space_id)
+                    .then(() => {
+                      if (alive.current) setRecent(null);
+                    })
+                    .catch(() => {
+                      if (alive.current) setCleanupError(true);
+                    })
+                    .finally(() => {
+                      if (alive.current) setCleaning(false);
+                    });
+                }}
+              >
+                {t("embeddingSwitch.action.cleanup")}
+              </R6Button>
+            ) : null}
+            <R6Button
+              variant="quiet"
+              aria-label={t("embeddingSwitch.action.closeSuccess")}
+              onClick={() => setRecent(null)}
+            >
+              <X size={16} aria-hidden="true" />
+            </R6Button>
+          </div>
+        </aside>
+      ) : null}
+      {cleanupError ? (
+        <p className="embedding-switch-cleanup-error" role="alert">
+          {t("embeddingSwitch.cleanup.failed")}
+        </p>
+      ) : null}
+      {recent?.state === "rolled_back" ? (
+        <aside
+          className="embedding-switch-outcome is-error"
+          role="alert"
+          aria-live="assertive"
+        >
+          <div>
+            <strong>{t("embeddingSwitch.rollback.title")}</strong>
+            <span>
+              {failureKeys[recent.error_code ?? ""]
+                ? t("embeddingSwitch.rollback.reason", {
+                    reason: t(failureKeys[recent.error_code ?? ""]),
+                    safety: t("embeddingSwitch.rollback.safety"),
+                  })
+                : t("embeddingSwitch.rollback.safety")}
+            </span>
+          </div>
+          <div className="embedding-switch-outcome-actions">
+            <R6Button variant="quiet" onClick={onDiagnostics}>
+              {t("embeddingSwitch.action.diagnostics")}
+            </R6Button>
+            <R6Button variant="quiet" onClick={onConfigureSearch}>
+              {t("embeddingSwitch.action.checkConnection")}
+            </R6Button>
+            <R6Button
+              variant="quiet"
+              aria-label={t("embeddingSwitch.action.closeFailure")}
+              onClick={() => setRecent(null)}
+            >
+              <X size={16} aria-hidden="true" />
+            </R6Button>
+          </div>
+        </aside>
+      ) : null}
+    </>
+  );
+}

memhub/apps/web/src/FirstImportReview.r6.test.tsx

@@ -239,7 +239,7 @@ it("emits controlled connection drafts only and passes continuation without comp
     screen.getByRole<HTMLInputElement>("checkbox", { name: "一键接入应用" })
       .checked,
   ).toBe(false);
-  fireEvent.click(screen.getByRole("button", { name: "配置模型，沉淀记忆" }));
+  fireEvent.click(screen.getByRole("button", { name: "选择记忆模式" }));
   expect(next).toHaveBeenCalledWith("settings");
 });
 
@@ -379,8 +379,8 @@ it("uses user-facing connection confirmation copy without implementation narrati
   expect(
     screen.queryByText(/选择草稿|按各应用回执|本页任务控制尚未接通/),
   ).toBeNull();
-  expect(screen.getByText(/不会自动开放应用读取权限/)).toBeTruthy();
-  expect(screen.getByText(/配置模型后，才会开始生成记忆/)).toBeTruthy();
+  expect(screen.getByText(/下一步选择记忆模式/)).toBeTruthy();
+  expect(screen.getByText(/之后仍可在设置中更改/)).toBeTruthy();
 });
 
 it.each(["paused", "failed", "cancelled", "interrupted"] as const)(

memhub/apps/web/src/FirstImportReview.test.tsx

@@ -147,7 +147,7 @@ it("explains that one large harness limits every first-import source to three da
 it("continues to step3 while sample GET is pending without calling completion APIs", () => {
   api.receipt.mockReturnValue(new Promise(() => {}));
   const { props } = setup();
-  fireEvent.click(screen.getByRole("button", { name: "配置模型，沉淀记忆" }));
+  fireEvent.click(screen.getByRole("button", { name: "选择记忆模式" }));
   expect(props.onContinue).toHaveBeenCalledWith("settings");
   expect(screen.queryByText(/^已生成.*记忆/)).toBeNull();
 });

memhub/apps/web/src/FirstImportReview.tsx

@@ -373,7 +373,7 @@ export function FirstImportReview({
                 disabled={busy}
                 onClick={() => leave("settings")}
               >
-                {text("配置模型，沉淀记忆")}
+                {text("选择记忆模式")}
               </R6Button>
             )}
           </div>
@@ -393,9 +393,7 @@ export function FirstImportReview({
             )}
           </p>
           <p className="first-import-r6-subintro">
-            {text(
-              "导入不会自动开放应用读取权限。配置模型后，才会开始生成记忆。",
-            )}
+            {text("下一步选择记忆模式；之后仍可在设置中更改。")}
           </p>
           {historyWindowLimited && (
             <p className="first-import-r6-history-window" role="status">

memhub/apps/web/src/GenerationModelPrimitives.tsx

@@ -0,0 +1,345 @@
+import type { ProviderKind } from "@one-memory/contracts";
+import { ChevronDown, ChevronUp } from "lucide-react";
+import type { ReactNode, Ref } from "react";
+import { OptionMenu } from "./OptionMenu";
+import { PROVIDER_PRESETS } from "./provider-presets";
+
+export interface GenerationModelValues {
+  provider_kind: ProviderKind;
+  model: string;
+  base_url: string;
+  timeout_seconds: string;
+  max_concurrency: string;
+  context_window: string;
+  disable_thinking: boolean;
+}
+
+export type GenerationModelField = keyof GenerationModelValues | "api_key";
+export type GenerationModelErrors = Partial<
+  Record<GenerationModelField, string>
+>;
+
+export const GENERATION_PROTOCOLS: readonly {
+  value: ProviderKind;
+  label: string;
+  supported: boolean;
+}[] = [
+  {
+    value: "openai_compatible",
+    label: "OpenAI-compatible",
+    supported: true,
+  },
+  { value: "ollama", label: "Ollama（本机）", supported: true },
+  { value: "anthropic", label: "Anthropic（暂不支持）", supported: false },
+  { value: "hy_default", label: "HY 托管（当前不可用）", supported: false },
+];
+
+export function presetForGeneration(profile: {
+  provider_kind: string;
+  base_url: string | null;
+}): string {
+  return (
+    PROVIDER_PRESETS.find(
+      (preset) =>
+        preset.provider === profile.provider_kind &&
+        endpointKey(preset.baseUrl) === endpointKey(profile.base_url ?? ""),
+    )?.id ?? "custom"
+  );
+}
+
+export function generationProviderLabel(provider: ProviderKind): string {
+  return (
+    GENERATION_PROTOCOLS.find((item) => item.value === provider)?.label ??
+    provider
+  );
+}
+
+export function generationSummary(
+  presetId: string,
+  provider: ProviderKind,
+  model: string,
+  text: (value: string) => string,
+): string {
+  const preset = PROVIDER_PRESETS.find((item) => item.id === presetId);
+  return `${preset ? text(preset.label) : text(generationProviderLabel(provider))} · ${
+    model.trim() || text("模型待填写")
+  }`;
+}
+
+export function validGenerationEndpoint(value: string): boolean {
+  try {
+    const url = new URL(value);
+    return (
+      ["http:", "https:"].includes(url.protocol) &&
+      !!url.hostname &&
+      !url.username &&
+      !url.password
+    );
+  } catch {
+    return false;
+  }
+}
+
+export function validateGenerationModel(
+  values: GenerationModelValues,
+  options: {
+    apiKey: string;
+    keyRequired: boolean;
+    requireRuntimeValues?: boolean;
+  },
+): GenerationModelErrors {
+  const errors: GenerationModelErrors = {};
+  if (!values.model.trim()) errors.model = "请填写实际可用的模型 ID。";
+  if (!validGenerationEndpoint(values.base_url))
+    errors.base_url = "请填写有效的模型接口地址。";
+  if (
+    options.apiKey.trim() &&
+    /^(?:[a-z][a-z\d+.-]*:\/\/|www\.|\/\/)/i.test(options.apiKey.trim())
+  )
+    errors.api_key = "这里需要 API Key，不是网址。请填写服务方提供的密钥。";
+  else if (options.keyRequired && !options.apiKey.trim())
+    errors.api_key = "请填写 API Key。";
+
+  const integer = (
+    key: "timeout_seconds" | "max_concurrency" | "context_window",
+    min: number,
+    max: number,
+  ) => {
+    const raw = values[key].trim();
+    if (!raw && !options.requireRuntimeValues) return;
+    const value = Number(raw);
+    if (!raw || !Number.isInteger(value) || value < min || value > max)
+      errors[key] = "onboardingIntegerRange";
+  };
+  integer("timeout_seconds", 1, 600);
+  integer("max_concurrency", 1, 32);
+  if (values.context_window.trim()) integer("context_window", 1024, 10_000_000);
+  return errors;
+}
+
+export function ProviderPresetField({
+  id,
+  labelledBy,
+  ariaLabel,
+  describedBy,
+  value,
+  disabled,
+  text,
+  includePlaceholder = false,
+  onChange,
+}: {
+  id?: string;
+  labelledBy?: string;
+  ariaLabel?: string;
+  describedBy?: string;
+  value: string;
+  disabled?: boolean;
+  text: (value: string) => string;
+  includePlaceholder?: boolean;
+  onChange(value: string): void;
+}) {
+  return (
+    <OptionMenu
+      id={id}
+      labelledBy={labelledBy}
+      ariaLabel={ariaLabel}
+      describedBy={describedBy}
+      value={value}
+      disabled={disabled}
+      options={[
+        ...(includePlaceholder && !value
+          ? [{ value: "", label: text("选择服务商"), disabled: true }]
+          : []),
+        ...PROVIDER_PRESETS.map((preset) => ({
+          value: preset.id,
+          label: text(preset.label),
+        })),
+        { value: "custom", label: text("自定义兼容服务") },
+      ]}
+      onChange={onChange}
+    />
+  );
+}
+
+export function GenerationTechnicalDisclosure({
+  open,
+  disabled,
+  controls,
+  text,
+  onChange,
+  children,
+}: {
+  open: boolean;
+  disabled?: boolean;
+  controls: string;
+  text: (value: string) => string;
+  onChange(open: boolean): void;
+  children: ReactNode;
+}) {
+  return (
+    <section className="generation-technical-disclosure">
+      <button
+        type="button"
+        className="generation-technical-toggle"
+        aria-expanded={open}
+        aria-controls={controls}
+        disabled={disabled}
+        onClick={() => onChange(!open)}
+      >
+        {text("配置详情与高级设置")}
+        {open ? (
+          <ChevronUp size={16} aria-hidden="true" />
+        ) : (
+          <ChevronDown size={16} aria-hidden="true" />
+        )}
+      </button>
+      <div id={controls} className="generation-technical-fields" hidden={!open}>
+        {children}
+      </div>
+    </section>
+  );
+}
+
+export function GenerationTechnicalFields({
+  idPrefix,
+  values,
+  errors = {},
+  disabled,
+  text,
+  modelRef,
+  onChange,
+}: {
+  idPrefix: string;
+  values: GenerationModelValues;
+  errors?: GenerationModelErrors;
+  disabled?: boolean;
+  text: (value: string) => string;
+  modelRef?: Ref<HTMLInputElement>;
+  onChange(patch: Partial<GenerationModelValues>): void;
+}) {
+  const field = (
+    key:
+      | "model"
+      | "base_url"
+      | "timeout_seconds"
+      | "max_concurrency"
+      | "context_window",
+    label: string,
+    options: {
+      type?: string;
+      min?: number;
+      max?: number;
+      placeholder?: string;
+      ref?: Ref<HTMLInputElement>;
+    } = {},
+  ) => {
+    const error = errors[key];
+    const inputId = `${idPrefix}-${key}`;
+    return (
+      <label className="generation-model-field" htmlFor={inputId}>
+        <span>{text(label)}</span>
+        <input
+          ref={options.ref}
+          id={inputId}
+          name={key}
+          aria-label={text(label)}
+          type={options.type ?? "text"}
+          inputMode={options.type === "url" ? "url" : undefined}
+          autoComplete="off"
+          spellCheck={false}
+          value={values[key]}
+          disabled={disabled}
+          min={options.min}
+          max={options.max}
+          maxLength={key === "model" ? 256 : undefined}
+          placeholder={
+            options.placeholder ? text(options.placeholder) : undefined
+          }
+          aria-invalid={!!error}
+          aria-describedby={error ? `${inputId}-error` : undefined}
+          onChange={(event) => onChange({ [key]: event.target.value })}
+        />
+        {error ? (
+          <small id={`${inputId}-error`} className="generation-model-error">
+            {text(error)}
+          </small>
+        ) : null}
+      </label>
+    );
+  };
+
+  return (
+    <>
+      <label
+        className="generation-model-field"
+        htmlFor={`${idPrefix}-protocol`}
+      >
+        <span>{text("协议")}</span>
+        <select
+          id={`${idPrefix}-protocol`}
+          name="provider"
+          aria-label={text("协议")}
+          value={values.provider_kind}
+          disabled={disabled}
+          onChange={(event) =>
+            onChange({ provider_kind: event.target.value as ProviderKind })
+          }
+        >
+          {GENERATION_PROTOCOLS.map((protocol) => (
+            <option
+              key={protocol.value}
+              value={protocol.value}
+              disabled={!protocol.supported}
+            >
+              {text(protocol.label)}
+            </option>
+          ))}
+        </select>
+      </label>
+      {field("model", "生成模型名", {
+        placeholder: "例如：gpt-4o-mini…",
+        ref: modelRef,
+      })}
+      {field("base_url", "Base URL", { type: "url" })}
+      <div className="generation-runtime-fields">
+        {field("timeout_seconds", "超时（秒）", {
+          type: "number",
+          min: 1,
+          max: 600,
+          placeholder: "自动 / 可选",
+        })}
+        {field("max_concurrency", "最大并发", {
+          type: "number",
+          min: 1,
+          max: 32,
+          placeholder: "自动 / 可选",
+        })}
+        {field("context_window", "上下文窗口", {
+          type: "number",
+          min: 1024,
+          max: 10_000_000,
+          placeholder: "自动 / 可选",
+        })}
+      </div>
+      <small className="generation-runtime-note">
+        {text("留空使用 Core 默认值。")}
+      </small>
+      <label className="generation-thinking">
+        <input
+          name="disable-thinking"
+          type="checkbox"
+          checked={values.disable_thinking}
+          disabled={disabled}
+          onChange={(event) =>
+            onChange({ disable_thinking: event.target.checked })
+          }
+        />
+        {text("关闭思考模式")}
+      </label>
+    </>
+  );
+}
+
+function endpointKey(value: string): string {
+  return value.trim().replace(/\/+$/, "").toLowerCase();
+}

memhub/apps/web/src/ImportProgressStrip.test.tsx

@@ -153,6 +153,58 @@ describe("ImportProgressStrip", () => {
     expect(container.textContent).toBe("");
   });
 
+  it("uses raw-saving copy and never offers model setup in lite mode", () => {
+    render(
+      <ImportProgressStrip
+        jobs={[job()]}
+        sources={sources}
+        backfilling={false}
+        onOpenSources={vi.fn()}
+        onConfigureModel={vi.fn()}
+        modeCapabilities={{
+          content_plane: "raw",
+          generation_required: false,
+          graph_enabled: false,
+          evolve_available: false,
+        }}
+        arrival={{
+          importing: true,
+          importedMessages: 3,
+          importedConversations: 1,
+          phase: "model-required",
+        }}
+      />,
+    );
+    expect(screen.getByRole("status").textContent).toContain(
+      "正在保存原始对话",
+    );
+    expect(screen.queryByRole("button", { name: "设置模型" })).toBeNull();
+  });
+
+  it("does not keep a lite progress strip mounted without active work", () => {
+    const { container } = render(
+      <ImportProgressStrip
+        jobs={[]}
+        sources={sources}
+        backfilling={false}
+        onOpenSources={vi.fn()}
+        modeCapabilities={{
+          content_plane: "raw",
+          generation_required: false,
+          graph_enabled: false,
+          evolve_available: false,
+        }}
+        arrival={{
+          importing: false,
+          importedMessages: 3,
+          importedConversations: 1,
+          phase: "stopped",
+        }}
+      />,
+    );
+    expect(container.textContent).toBe("");
+  });
+
   it("shows one plain sentence for first history import without details", () => {
     render(
       <ImportProgressStrip

memhub/apps/web/src/ImportProgressStrip.tsx

@@ -1,4 +1,5 @@
 import type {
+  HomeProjectionCapabilities,
   ImportIssue,
   ImportJob,
   SourceResponse,
@@ -68,6 +69,7 @@ export interface ImportProgressStripProps {
   showSourceLink?: boolean;
   showProgressDetails?: boolean;
   userFacing?: boolean;
+  modeCapabilities?: HomeProjectionCapabilities | null;
 }
 
 /** Named sources and confirmed counts, without claiming cached jobs are live. */
@@ -85,6 +87,7 @@ export function ImportProgressStrip({
   showSourceLink = true,
   showProgressDetails = true,
   userFacing = false,
+  modeCapabilities,
 }: ImportProgressStripProps) {
   const { t, tn } = useGuiLanguage();
   const [refreshing, setRefreshing] = useState(false);
@@ -212,7 +215,13 @@ export function ImportProgressStrip({
     ),
   );
   const currentArrival = arrival
-    ? resolveMemoryArrival({ arrival, processing: null, sources, loaded: true })
+    ? resolveMemoryArrival({
+        arrival,
+        processing: null,
+        sources,
+        loaded: true,
+        capabilities: modeCapabilities,
+      })
     : null;
   const needsAction =
     currentArrival &&
@@ -253,11 +262,14 @@ export function ImportProgressStrip({
       (sum, source) => sum + source.imported_conversations,
       0,
     );
-    const message = firstImport
-      ? tn("importUserProgress", imported)
-      : currentArrival?.phase === "model-required"
-        ? t("importUserModel")
-        : t("importUserIncomplete");
+    const message =
+      modeCapabilities?.generation_required === false
+        ? t("apps.rawSaving")
+        : firstImport
+          ? tn("importUserProgress", imported)
+          : currentArrival?.phase === "model-required"
+            ? t("importUserModel")
+            : t("importUserIncomplete");
     return (
       <div
         className="import-strip"
@@ -272,16 +284,18 @@ export function ImportProgressStrip({
             )}
             <strong>{message}</strong>
           </div>
-          {!firstImport && onConfigureModel && (
-            <button
-              type="button"
-              className="secondary"
-              onClick={onConfigureModel}
-            >
-              <Settings2 size={15} aria-hidden="true" />
-              {t("importUserSettings")}
-            </button>
-          )}
+          {!firstImport &&
+            modeCapabilities?.generation_required !== false &&
+            onConfigureModel && (
+              <button
+                type="button"
+                className="secondary"
+                onClick={onConfigureModel}
+              >
+                <Settings2 size={15} aria-hidden="true" />
+                {t("importUserSettings")}
+              </button>
+            )}
         </div>
       </div>
     );
@@ -322,19 +336,21 @@ export function ImportProgressStrip({
     ? updating
       ? "已保存内容保留，正在核对进度"
       : "进度待更新"
-    : currentArrival && needsAction
-      ? currentArrival.phase === "model-required"
-        ? "待继续"
-        : memoryArrivalTitle(currentArrival)
-      : generating
-        ? "正在沉淀记忆"
-        : importing || currentArrival?.phase === "importing"
-          ? running.length > 0 && running.every(isSyncJob)
-            ? "正在检查新增对话"
-            : "正在导入对话"
-          : backfilling
-            ? "正在准备整理"
-            : "待继续";
+    : modeCapabilities?.generation_required === false
+      ? t("apps.rawSaving")
+      : currentArrival && needsAction
+        ? currentArrival.phase === "model-required"
+          ? "待继续"
+          : memoryArrivalTitle(currentArrival)
+        : generating
+          ? "正在沉淀记忆"
+          : importing || currentArrival?.phase === "importing"
+            ? running.length > 0 && running.every(isSyncJob)
+              ? "正在检查新增对话"
+              : "正在导入对话"
+            : backfilling
+              ? "正在准备整理"
+              : "待继续";
 
   return (
     <div
@@ -645,6 +661,7 @@ export function ImportProgressStrip({
           </button>
         )}
         {!stale &&
+          modeCapabilities?.generation_required !== false &&
           currentArrival?.phase === "model-required" &&
           onConfigureModel && (
             <button type="button" className="quiet" onClick={onConfigureModel}>

memhub/apps/web/src/MemoryAddComposer.test.tsx

@@ -46,6 +46,7 @@ const api = vi.hoisted(() => ({
 vi.mock("./api", () => api);
 
 const REQUEST_ID = "11111111-2222-4333-8444-555555555555";
+const OLD_REQUEST_ID = "aaaaaaaa-bbbb-4ccc-8ddd-eeeeeeeeeeee";
 const addition: MemoryAddReceipt = {
   evidence_id: "evidence-1",
   text: "项目周会不排在周五。",
@@ -122,13 +123,14 @@ it("explains source verification failure without retrying or claiming success",
   expect(screen.queryByRole("button", { name: "重新整理" })).toBeNull();
 });
 
-function page() {
+function page(rawOnly = false) {
   const onSaved = vi.fn(),
     onOpenMemory = vi.fn(),
     onConfigureModel = vi.fn(),
     onPendingChange = vi.fn();
   const view = render(
     <MemoryAddComposer
+      rawOnly={rawOnly}
       {...{ onSaved, onOpenMemory, onConfigureModel, onPendingChange }}
     />,
   );
@@ -198,6 +200,114 @@ it("saves from an empty library with the linked-app scope by default", async ()
   expect(screen.queryByRole("button", { name: "查看记忆" })).toBeNull();
 });
 
+it("saves a lite manual addition as original content without model UI", async () => {
+  api.addMemory.mockResolvedValue({
+    ...addition,
+    state: "no_memories",
+  });
+  const callbacks = page(true);
+
+  await userEvent.click(screen.getByRole("button", { name: "手动添加" }));
+  expect(screen.getByRole("dialog", { name: "手动添加" })).toBeTruthy();
+  expect(screen.queryByText(/整理模型：/)).toBeNull();
+  expect(api.getModelProfiles).not.toHaveBeenCalled();
+  await userEvent.type(
+    screen.getByRole("textbox", { name: "记下这件事" }),
+    addition.text,
+  );
+  await userEvent.click(screen.getByRole("button", { name: "保存" }));
+
+  expect(await screen.findByText("已保存原文")).toBeTruthy();
+  expect(callbacks.onSaved).toHaveBeenCalledOnce();
+  expect(
+    callbacks.onPendingChange.mock.calls.some(([value]) => value === null),
+  ).toBe(true);
+  expect(screen.queryByRole("dialog", { name: "手动添加" })).toBeNull();
+});
+
+it("refreshes the lite raw page when an asynchronous manual save completes", async () => {
+  api.addMemory.mockResolvedValue({
+    ...addition,
+    state: "running",
+  });
+  api.getMemoryAddStatus.mockResolvedValue({
+    ...addition,
+    state: "no_memories",
+  });
+  const callbacks = page(true);
+
+  await userEvent.click(screen.getByRole("button", { name: "手动添加" }));
+  await userEvent.type(screen.getByRole("textbox"), addition.text);
+  await userEvent.click(screen.getByRole("button", { name: "保存" }));
+
+  await waitFor(() => expect(callbacks.onSaved).toHaveBeenCalledTimes(2), {
+    timeout: 2_500,
+  });
+  expect(screen.getByText("已保存原文")).toBeTruthy();
+  expect(callbacks.onPendingChange).toHaveBeenLastCalledWith(null);
+});
+
+it("does not treat an older completed addition as a newly saved raw turn", async () => {
+  localStorage.setItem(
+    RECENT_ADDITIONS_KEY,
+    JSON.stringify([REQUEST_ID, OLD_REQUEST_ID]),
+  );
+  let currentState: MemoryAddReceipt["state"] = "running";
+  const calls = new Map<string, number>();
+  api.getMemoryAddStatus.mockImplementation(async (requestId: string) => {
+    calls.set(requestId, (calls.get(requestId) ?? 0) + 1);
+    return requestId === OLD_REQUEST_ID
+      ? {
+          ...addition,
+          evidence_id: "old-evidence",
+          state: "no_memories",
+        }
+      : { ...addition, state: currentState };
+  });
+  const callbacks = page(true);
+
+  await waitFor(
+    () => expect(calls.get(REQUEST_ID) ?? 0).toBeGreaterThanOrEqual(2),
+    { timeout: 2_500 },
+  );
+  expect(callbacks.onSaved).not.toHaveBeenCalled();
+
+  currentState = "no_memories";
+  await waitFor(() => expect(callbacks.onSaved).toHaveBeenCalledOnce(), {
+    timeout: 2_500,
+  });
+});
+
+it("keeps a failed lite raw write visible after the composer closes", async () => {
+  api.addMemory.mockResolvedValue({
+    ...addition,
+    state: "running",
+  });
+  api.getMemoryAddStatus.mockResolvedValue({
+    ...addition,
+    state: "failed",
+  });
+  const callbacks = page(true);
+
+  await userEvent.click(screen.getByRole("button", { name: "手动添加" }));
+  await userEvent.type(screen.getByRole("textbox"), addition.text);
+  await userEvent.click(screen.getByRole("button", { name: "保存" }));
+  expect(screen.queryByText("已保存原文")).toBeNull();
+
+  await waitFor(
+    () =>
+      expect(callbacks.onPendingChange).toHaveBeenLastCalledWith({
+        evidenceId: addition.evidence_id,
+        text: addition.text,
+        state: "failed",
+      }),
+    { timeout: 2_500 },
+  );
+  await waitFor(() =>
+    expect(screen.getByText("原话已保存，整理未完成")).toBeTruthy(),
+  );
+});
+
 it("preserves draft and request identity after an uncertain save", async () => {
   api.addMemory
     .mockRejectedValueOnce(new Error("timeout"))

memhub/apps/web/src/MemoryAddComposer.tsx

@@ -103,12 +103,14 @@ export function MemoryAddComposer({
   onConfigureModel,
   onPendingChange,
   suspended = false,
+  rawOnly = false,
 }: {
   onSaved(): void;
   onOpenMemory(id: string): void;
   onConfigureModel(): void;
   onPendingChange?(addition: PendingMemoryAdd | null): void;
   suspended?: boolean;
+  rawOnly?: boolean;
 }) {
   const { text: copy } = useMemoryLanguage();
   const [open, setOpen] = useState(false);
@@ -128,6 +130,7 @@ export function MemoryAddComposer({
   const additionsRequest = useRef(0);
   const intent = useRef<{ text: string; requestId: string } | null>(null);
   const completed = useRef(new Set<string>());
+  const watched = useRef(new Set<string>());
   const lastSaved = useRef<string | null>(null);
   const onSavedRef = useRef(onSaved);
   onSavedRef.current = onSaved;
@@ -156,34 +159,72 @@ export function MemoryAddComposer({
   }, []);
 
   const refreshAdditions = useCallback(
-    async (failure: string, notifyResults = false) => {
+    async (
+      failure: string,
+      notifyResults = false,
+      allowWhileClosed = false,
+    ) => {
       const request = ++additionsRequest.current;
       try {
         const value = await loadRecentAdditions();
-        if (!isOpen.current || request !== additionsRequest.current) return;
+        if (
+          (!allowWhileClosed && !isOpen.current) ||
+          request !== additionsRequest.current
+        )
+          return;
         setAdditions(value);
         reportPending(value);
-        if (!notifyResults) return;
+        if (!notifyResults) {
+          for (const { receipt } of value) {
+            if (
+              receipt.state === "ready" ||
+              (rawOnly && receipt.state === "no_memories")
+            )
+              completed.current.add(receipt.evidence_id);
+            else if (receipt.state === "pending" || receipt.state === "running")
+              watched.current.add(receipt.evidence_id);
+          }
+          return;
+        }
         const latest = value.find(
           (item) => item.receipt.evidence_id === lastSaved.current,
         );
-        if (latest) setNotice(states[latest.receipt.state]);
+        if (latest) {
+          setNotice(
+            rawOnly && latest.receipt.state === "no_memories"
+              ? "已保存原文"
+              : states[latest.receipt.state],
+          );
+          if (rawOnly && latest.receipt.state === "failed")
+            setSavedToast(states.failed);
+        }
         const newResults = value.filter(
           ({ receipt }) =>
-            receipt.state === "ready" &&
+            (receipt.state === "ready" ||
+              (rawOnly && receipt.state === "no_memories")) &&
+            watched.current.has(receipt.evidence_id) &&
             !completed.current.has(receipt.evidence_id),
         );
         if (newResults.length) {
-          for (const { receipt } of newResults)
+          for (const { receipt } of newResults) {
             completed.current.add(receipt.evidence_id);
+            watched.current.delete(receipt.evidence_id);
+          }
+          if (rawOnly) setSavedToast("已保存原文");
           onSavedRef.current();
         }
+        for (const { receipt } of value)
+          if (receipt.state === "failed")
+            watched.current.delete(receipt.evidence_id);
       } catch {
-        if (isOpen.current && request === additionsRequest.current)
+        if (
+          (isOpen.current || allowWhileClosed) &&
+          request === additionsRequest.current
+        )
           setError(failure);
       }
     },
-    [reportPending],
+    [rawOnly, reportPending],
   );
 
   useEffect(() => {
@@ -193,6 +234,15 @@ export function MemoryAddComposer({
     const before = document.activeElement;
     panel.current?.querySelector("textarea")?.focus();
     void refreshAdditions("最近添加的内容读取失败。");
+    if (rawOnly) {
+      setModel(null);
+      setModelRead(true);
+      return () => {
+        isOpen.current = false;
+        additionsRequest.current += 1;
+        if (before instanceof HTMLElement && before.isConnected) before.focus();
+      };
+    }
     setModelRead(false);
     getModelProfiles()
       .then((value) => {
@@ -211,32 +261,38 @@ export function MemoryAddComposer({
       additionsRequest.current += 1;
       if (before instanceof HTMLElement && before.isConnected) before.focus();
     };
-  }, [open, refreshAdditions, suspended]);
+  }, [open, rawOnly, refreshAdditions, suspended]);
 
   useEffect(() => {
     if (open || suspended || !onPendingChange) return;
-    void loadRecentAdditions()
-      .then((value) => reportPending(value))
-      .catch(() => {
-        // The page already keeps the last known state when a background read
-        // fails; do not turn an unknown pending count into zero here.
-      });
-  }, [open, onPendingChange, reportPending, suspended]);
+    void refreshAdditions(
+      "最近添加的内容读取失败。",
+      lastSaved.current !== null,
+      true,
+    );
+  }, [open, onPendingChange, refreshAdditions, suspended]);
 
   const working = additions.some(
     ({ receipt }) => receipt.state === "pending" || receipt.state === "running",
   );
   useEffect(() => {
-    if (!open || suspended || !working) return;
+    if (suspended || !working) return;
     const stop = subscribePoll({
       // A key of its own: sharing one with another surface would make one
       // tick read the wrong endpoint for the other caller.
       key: "memory-add-processing",
       intervalMs: 1_500,
-      run: () => refreshAdditions("整理状态暂时不可用，原话已保存。", true),
+      run: () =>
+        refreshAdditions(
+          rawOnly
+            ? "保存状态暂时不可用，原文已保存。"
+            : "整理状态暂时不可用，原话已保存。",
+          true,
+          !open,
+        ),
     });
     return stop;
-  }, [open, working, refreshAdditions, suspended]);
+  }, [open, rawOnly, working, refreshAdditions, suspended]);
 
   useEffect(() => {
     if (!savedToast) return;
@@ -273,12 +329,27 @@ export function MemoryAddComposer({
     setNotice("");
     const trace = traceUiAction("memory", "submit");
     const completeSave = (receipt: MemoryAddReceipt) => {
+      if (
+        receipt.state === "ready" ||
+        (rawOnly && receipt.state === "no_memories")
+      )
+        completed.current.add(receipt.evidence_id);
+      else if (receipt.state === "pending" || receipt.state === "running")
+        watched.current.add(receipt.evidence_id);
       remember({ requestId, receipt });
       lastSaved.current = receipt.evidence_id;
       setText("");
       intent.current = null;
       setNotice("");
-      setSavedToast("已保存，正在后台沉淀记忆");
+      setSavedToast(
+        rawOnly
+          ? receipt.state === "ready" || receipt.state === "no_memories"
+            ? "已保存原文"
+            : receipt.state === "failed"
+              ? states.failed
+              : "正在保存…"
+          : "已保存，正在后台沉淀记忆",
+      );
       isOpen.current = false;
       additionsRequest.current += 1;
       setOpen(false);
@@ -321,7 +392,8 @@ export function MemoryAddComposer({
         data-tour-id="memory-add-trigger"
         onClick={() => setOpen(true)}
       >
-        <FilePlus2 size={16} aria-hidden="true" /> {copy("添加记忆")}
+        <FilePlus2 size={16} aria-hidden="true" />{" "}
+        {copy(rawOnly ? "手动添加" : "添加记忆")}
       </button>
       {savedToast && (
         <p className="memory-add-toast" role="status">
@@ -360,11 +432,13 @@ export function MemoryAddComposer({
             }}
           >
             <header className="memory-add-heading">
-              <h2 id="memory-add-title">{copy("添加记忆")}</h2>
+              <h2 id="memory-add-title">
+                {copy(rawOnly ? "手动添加" : "添加记忆")}
+              </h2>
               <button
                 className="quiet"
                 type="button"
-                aria-label={copy("关闭新增记忆")}
+                aria-label={copy(rawOnly ? "关闭" : "关闭新增记忆")}
                 title={copy("关闭")}
                 disabled={busy}
                 onClick={close}
@@ -390,11 +464,13 @@ export function MemoryAddComposer({
                 placeholder={copy("例如：项目周会不排在周五。")}
                 onChange={(event) => setText(event.target.value)}
               />
-              <p className="memory-add-model">
-                {copy("整理模型：")}
-                {model?.name ??
-                  copy(modelRead ? "尚未配置，原话仍可保存" : "正在读取")}
-              </p>
+              {!rawOnly && (
+                <p className="memory-add-model">
+                  {copy("整理模型：")}
+                  {model?.name ??
+                    copy(modelRead ? "尚未配置，原话仍可保存" : "正在读取")}
+                </p>
+              )}
               {error && (
                 <p className="error-banner" role="alert">
                   {copy(error)}
@@ -402,7 +478,7 @@ export function MemoryAddComposer({
               )}
               {notice && <p role="status">{copy(notice)}</p>}
               <div className="consent-actions">
-                {modelRead && !model && (
+                {!rawOnly && modelRead && !model && (
                   <button
                     type="button"
                     className="secondary"
@@ -430,7 +506,19 @@ export function MemoryAddComposer({
                   {additions.map(({ requestId, receipt }) => (
                     <li key={requestId}>
                       <p>{receipt.text}</p>
-                      <small>{copy(states[receipt.state])}</small>
+                      <small>
+                        {copy(
+                          rawOnly &&
+                            (receipt.state === "pending" ||
+                              receipt.state === "running")
+                            ? "正在保存…"
+                            : rawOnly &&
+                                (receipt.state === "ready" ||
+                                  receipt.state === "no_memories")
+                              ? "已保存原文"
+                              : states[receipt.state],
+                        )}
+                      </small>
                       {memoryWriteErrorText(receipt.error) && (
                         <p className="error-banner">
                           {copy(memoryWriteErrorText(receipt.error) ?? "")}

memhub/apps/web/src/MemoryGraph3D.test.tsx

@@ -6,7 +6,11 @@ import type {
 } from "@one-memory/contracts";
 import { cleanup, render, screen } from "@testing-library/react";
 import { afterEach, describe, expect, it } from "vitest";
-import { MemoryGraph3D } from "./MemoryGraph3D";
+import {
+  graphNodeTooltip,
+  isGraphNodeSelectable,
+  MemoryGraph3D,
+} from "./MemoryGraph3D";
 
 afterEach(cleanup);
 
@@ -48,6 +52,18 @@ function makeGraph(nodeCount: number): MemoryGraphResponse {
 }
 
 describe("MemoryGraph3D", () => {
+  it("keeps topic annotations hover-only", () => {
+    const topic = {
+      ...makeGraph(1).nodes[0],
+      node_type: "topic" as const,
+      label: "CI",
+    };
+    expect(isGraphNodeSelectable(topic)).toBe(false);
+    expect(graphNodeTooltip(topic, "主题：")).toBe("主题：CI");
+    expect(graphNodeTooltip(topic, "Topic: ")).toBe("Topic: CI");
+    expect(isGraphNodeSelectable({ ...topic, node_type: "memory" })).toBe(true);
+  });
+
   it("没有 WebGL 时给出可访问降级提示", () => {
     render(
       <MemoryGraph3D

memhub/apps/web/src/MemoryGraph3D.tsx

@@ -27,6 +27,20 @@ const SELECT_DURATION_MS = 180;
 const SELECTED_COLOR = new THREE.Color(0x294355);
 const SELECTED_EMISSIVE = new THREE.Color(0x607e97);
 
+/** Topic nodes explain the graph; unlike memories and sources, they do not own a detail view. */
+export function isGraphNodeSelectable(node: MemoryGraphNode): boolean {
+  return node.node_type !== "topic";
+}
+
+export function graphNodeTooltip(
+  node: MemoryGraphNode,
+  topicPrefix: string,
+): string {
+  return node.node_type === "topic"
+    ? `${topicPrefix}${node.label}`
+    : node.label;
+}
+
 export function MemoryGraph3D({
   graph,
   selectedNodeId,
@@ -36,10 +50,20 @@ export function MemoryGraph3D({
   selectedNodeId: string | null;
   onSelectNode(node: MemoryGraphNode): void;
 }) {
-  const { text } = useMemoryLanguage();
+  const { locale, text } = useMemoryLanguage();
   const host = useRef<HTMLDivElement>(null);
   const labelHost = useRef<HTMLDivElement>(null);
   const selectRef = useRef(onSelectNode);
+  const nodesByIdRef = useRef(
+    new Map(graph.nodes.map((node) => [node.node_id, node])),
+  );
+  nodesByIdRef.current = new Map(
+    graph.nodes.map((node) => [node.node_id, node]),
+  );
+  const topicPrefixRef = useRef("");
+  topicPrefixRef.current = `${text("主题")}${
+    locale.startsWith("zh") || locale.startsWith("ja") ? "：" : ": "
+  }`;
   // 选中态通过 ref 传入渲染循环，而不是进 useEffect 依赖。
   // 依赖里带 selectedNodeId 会导致每次点击重建整个场景、重跑布局、重建全部 mesh。
   const selectedRef = useRef(selectedNodeId);
@@ -157,9 +181,7 @@ export function MemoryGraph3D({
       }
     }
     const labels = graph.nodes
-      .filter(
-        (node) => node.node_type === "source" || node.node_type === "topic",
-      )
+      .filter((node) => node.node_type === "source")
       .slice(0, 4)
       .map((node) => {
         const element = document.createElement("span");
@@ -194,7 +216,7 @@ export function MemoryGraph3D({
       }
     };
 
-    const selectable: THREE.Mesh[] = [];
+    const hittable: THREE.Mesh[] = [];
     const materials = new Set<THREE.Material>();
     const geometryByType = {
       source: new THREE.SphereGeometry(0.24, 18, 12),
@@ -237,7 +259,7 @@ export function MemoryGraph3D({
       mesh.scale.setScalar(1);
       mesh.visible = returning || extending;
       scene.add(mesh);
-      selectable.push(mesh);
+      hittable.push(mesh);
       visuals.push({
         mesh,
         material,
@@ -298,7 +320,6 @@ export function MemoryGraph3D({
       });
     }
 
-    const nodesById = new Map(graph.nodes.map((node) => [node.node_id, node]));
     const raycaster = new THREE.Raycaster();
     const pointer = new THREE.Vector2();
     const hitAt = (event: PointerEvent) => {
@@ -307,7 +328,7 @@ export function MemoryGraph3D({
       pointer.x = ((event.clientX - bounds.left) / bounds.width) * 2 - 1;
       pointer.y = -((event.clientY - bounds.top) / bounds.height) * 2 + 1;
       raycaster.setFromCamera(pointer, camera);
-      return raycaster.intersectObjects(selectable, false)[0];
+      return raycaster.intersectObjects(hittable, false)[0];
     };
     let pressed: { x: number; y: number; id: number; moved: boolean } | null =
       null;
@@ -333,8 +354,9 @@ export function MemoryGraph3D({
       )
         return;
       const nodeId = hitAt(event)?.object.userData.nodeId;
-      const node = typeof nodeId === "string" ? nodesById.get(nodeId) : null;
-      if (node) selectRef.current(node);
+      const node =
+        typeof nodeId === "string" ? nodesByIdRef.current.get(nodeId) : null;
+      if (node && isGraphNodeSelectable(node)) selectRef.current(node);
     };
     const hoverNode = (event: PointerEvent) => {
       if (pressed) {
@@ -344,12 +366,18 @@ export function MemoryGraph3D({
         return;
       }
       const nodeId = hitAt(event)?.object.userData.nodeId;
-      const node = typeof nodeId === "string" ? nodesById.get(nodeId) : null;
-      renderer.domElement.style.cursor = node ? "pointer" : "grab";
+      const node =
+        typeof nodeId === "string" ? nodesByIdRef.current.get(nodeId) : null;
+      renderer.domElement.style.cursor =
+        node && isGraphNodeSelectable(node)
+          ? "pointer"
+          : node
+            ? "default"
+            : "grab";
       setHovered(
         node
           ? {
-              label: node.label,
+              label: graphNodeTooltip(node, topicPrefixRef.current),
               x: event.clientX - element.getBoundingClientRect().left,
               y: event.clientY - element.getBoundingClientRect().top,
             }
@@ -629,17 +657,23 @@ export function MemoryGraph3D({
       {!available ? (
         <div className="memory-graph-fallback">
           <p>{text("这台设备打不开 3D 视图，已显示关联列表。")}</p>
-          {graph.nodes.map((node) => (
-            <button
-              type="button"
-              className="secondary"
-              key={node.node_id}
-              aria-pressed={selectedNodeId === node.node_id}
-              onClick={() => onSelectNode(node)}
-            >
-              {node.label}
-            </button>
-          ))}
+          {graph.nodes.map((node) =>
+            isGraphNodeSelectable(node) ? (
+              <button
+                type="button"
+                className="secondary"
+                key={node.node_id}
+                aria-pressed={selectedNodeId === node.node_id}
+                onClick={() => onSelectNode(node)}
+              >
+                {node.label}
+              </button>
+            ) : (
+              <span className="memory-graph-fallback-topic" key={node.node_id}>
+                {graphNodeTooltip(node, topicPrefixRef.current)}
+              </span>
+            ),
+          )}
         </div>
       ) : null}
       {available && (

memhub/apps/web/src/MemoryMap.test.tsx

@@ -149,6 +149,102 @@ it("OBS-22: the graph inspector has no editing entry and never says changes cann
   expect(screen.queryByText(/暂不能保存更改/)).toBeNull();
 });
 
+it("keeps topic annotations out of the inspector and opens detail-bearing graph nodes", async () => {
+  const onOpen = vi.fn();
+  const topicGraph = {
+    total_memories: 2,
+    projected_memories: 2,
+    hy_graph_available: true,
+    nodes: [
+      {
+        node_id: "memory:m0",
+        node_type: "memory",
+        memory_id: "m0",
+        label: "第一条",
+      },
+      {
+        node_id: "memory:outside",
+        node_type: "memory",
+        memory_id: "outside",
+        label: "图中但不在当前页的记忆",
+      },
+      {
+        node_id: "topic:git",
+        node_type: "topic",
+        memory_id: null,
+        label: "git",
+      },
+      {
+        node_id: "schema:workflow",
+        node_type: "schema",
+        memory_id: null,
+        label: "先验证，再推送",
+      },
+    ],
+    edges: [
+      {
+        edge_id: "topic-m0",
+        source_node_id: "topic:git",
+        target_node_id: "memory:m0",
+        relation: "tagged_with",
+        origin: "shared_tag",
+      },
+      {
+        edge_id: "topic-outside",
+        source_node_id: "topic:git",
+        target_node_id: "memory:outside",
+        relation: "tagged_with",
+        origin: "shared_tag",
+      },
+      {
+        edge_id: "schema-m0",
+        source_node_id: "schema:workflow",
+        target_node_id: "memory:m0",
+        relation: "derived_from",
+        origin: "hy_relation",
+      },
+    ],
+  } as MemoryGraphResponse;
+  render(
+    <Host
+      simplified
+      items={[memories[0]]}
+      graphValue={topicGraph}
+      onOpenSpy={onOpen}
+      libraryView={pagedView({
+        items: [memories[0]],
+        total: 2,
+        offset: 0,
+        limit: 1,
+        source_ids_by_memory: { m0: ["codex"] },
+      })}
+    />,
+  );
+
+  await act(async () => {});
+  onOpen.mockClear();
+  await userEvent.click(screen.getByRole("button", { name: "图中选择 git" }));
+  expect(onOpen).not.toHaveBeenCalled();
+  expect(screen.queryByRole("heading", { name: "git" })).toBeNull();
+  expect(screen.getByRole("heading", { name: "第一条" })).toBeTruthy();
+  expect(screen.getByTestId("canvas").dataset.selected).toBe("memory:m0");
+  await userEvent.click(
+    screen.getByRole("button", { name: "图中选择 先验证，再推送" }),
+  );
+  expect(screen.getByRole("heading", { name: "先验证，再推送" })).toBeTruthy();
+  expect(screen.queryByText("关系归纳")).toBeNull();
+  expect(screen.queryByText("归纳自")).toBeNull();
+  await userEvent.click(
+    screen.getByRole("button", {
+      name: "图中选择 图中但不在当前页的记忆",
+    }),
+  );
+
+  expect(onOpen).toHaveBeenLastCalledWith("outside");
+  expect(screen.getByTestId("canvas").dataset.selected).toBe("memory:outside");
+  expect(screen.queryByText("所选记忆不在当前筛选内，已取消选择。")).toBeNull();
+});
+
 it("OBS-19: Enter in the memory filter submits it; submitting it again re-reads", async () => {
   const onRetry = vi.fn();
   const onQuery = vi.fn();
@@ -391,6 +487,7 @@ function Host({
   deferMemoryId,
   failMemoryId,
   graphValue = graph,
+  onOpenSpy,
   onViewHistory,
   onConfigureModel = () => {},
   libraryView,
@@ -408,6 +505,7 @@ function Host({
   deferMemoryId?: string;
   failMemoryId?: string;
   graphValue?: MemoryGraphResponse;
+  onOpenSpy?(memoryId: string): void;
   onViewHistory?(): void;
   onConfigureModel?(): void;
   libraryView?: Parameters<typeof MemoryMap>[0]["libraryView"];
@@ -445,6 +543,7 @@ function Host({
       streaming={null}
       requestIds={{ current: new Map() }}
       onOpenMemory={(id) => {
+        onOpenSpy?.(id);
         if (failMemoryId && id === failMemoryId) {
           setDetail(null);
           setDetailLoad({ memoryId: id, status: "failed" });

memhub/apps/web/src/MemoryMap.tsx

@@ -1,5 +1,6 @@
 import type {
   GovernedMemory,
+  HomeProjectionCapabilities,
   HostAskMemoryResponse,
   MemoryDetail,
   MemoryGraphNode,
@@ -8,6 +9,8 @@ import type {
   MemoryProcessingSummary,
   SdkAskMemory,
   SdkMemoryScene,
+  SdkRawContextItem,
+  SdkRawRecord,
   SourceResponse,
 } from "@one-memory/contracts";
 import type { GuiLocale } from "@one-memory/i18n";
@@ -30,6 +33,7 @@ import {
   useRef,
   useState,
 } from "react";
+import { useGuiLanguage } from "./gui-language";
 import { HandoffBar } from "./HandoffBar";
 import { MemoryEvidencePanel } from "./MemoryEvidencePanel";
 import { MemoryGraph3D } from "./MemoryGraph3D";
@@ -48,6 +52,7 @@ import {
 import { OptionMenu } from "./OptionMenu";
 import { R6Button } from "./R6Controls";
 import { SelectedMemoryDetail } from "./SelectedMemoryDetail";
+import { SelectedRawDetail } from "./SelectedRawDetail";
 import { sourceNameOr } from "./source-label";
 import { useMediaPreference } from "./use-media-preference";
 import { Answer, NodeDetail, type SavedAnswer } from "./Workbench";
@@ -88,7 +93,10 @@ type Props = {
   hidden?: boolean;
   id?: string;
   arrival?: MemoryArrival;
+  modeCapabilities?: HomeProjectionCapabilities | null;
   onViewHistory?(): void;
+  contentKind?: "memory" | "raw";
+  rawRecord?: SdkRawRecord | SdkRawContextItem | null;
   libraryView?: {
     query: string;
     source: string;
@@ -171,6 +179,8 @@ const SCENE_LABELS: Record<SdkMemoryScene, string> = {
 
 export function MemoryMap(props: Props) {
   const { locale, text, count, plain } = useMemoryLanguage();
+  const { t } = useGuiLanguage();
+  const raw = props.contentKind === "raw";
   const {
     memories,
     graph: baseGraph,
@@ -260,6 +270,7 @@ export function MemoryMap(props: Props) {
     processing: props.processing,
     sources,
     loaded,
+    capabilities: props.modeCapabilities,
   });
   useEffect(() => {
     if (!loaded || library) return;
@@ -411,6 +422,15 @@ export function MemoryMap(props: Props) {
             )),
       ) ?? null)
     : null;
+  const projectedMemoryIds = useMemo(
+    () =>
+      new Set(
+        projection.nodes.flatMap((node) =>
+          node.memory_id ? [node.memory_id] : [],
+        ),
+      ),
+    [projection.nodes],
+  );
   const selectedSource =
     visibleGroupNode?.node_type === "source"
       ? sources.find(
@@ -428,9 +448,12 @@ export function MemoryMap(props: Props) {
     }
   }, [groupNode, visibleGroupNode]);
   const requestedId = selectedId ?? detail?.memory.memory_id ?? null;
-  const activeId = active.some((memory) => memory.memory_id === requestedId)
-    ? requestedId
-    : null;
+  const activeId =
+    requestedId &&
+    (active.some((memory) => memory.memory_id === requestedId) ||
+      projectedMemoryIds.has(requestedId))
+      ? requestedId
+      : null;
   const inspectorIdentity = activeId
     ? `memory:${activeId}`
     : selectedSource
@@ -440,7 +463,8 @@ export function MemoryMap(props: Props) {
   const visibleDetail =
     detail &&
     (!activeId || activeId === detail.memory.memory_id) &&
-    filtered.some((m) => m.memory_id === detail.memory.memory_id)
+    (filtered.some((m) => m.memory_id === detail.memory.memory_id) ||
+      projectedMemoryIds.has(detail.memory.memory_id))
       ? detail
       : null;
   const lastDetail = useRef(visibleDetail);
@@ -458,7 +482,8 @@ export function MemoryMap(props: Props) {
     props.detailLoad.status === "failed";
   const pick = useCallback(
     (memoryId: string, scroll = true) => {
-      if (!active.some((memory) => memory.memory_id === memoryId)) return;
+      const listed = active.some((memory) => memory.memory_id === memoryId);
+      if (!listed && !projectedMemoryIds.has(memoryId)) return;
       if (pendingPageOffset !== null && library?.failed && library.page)
         library.onPage(library.page.offset);
       setPendingSourceSelection(null);
@@ -467,7 +492,7 @@ export function MemoryMap(props: Props) {
       pageRetrySawLoading.current = false;
       setDetailResetRevision((current) => current + 1);
       scrollSelection.current = scroll;
-      if (!filtered.some((memory) => memory.memory_id === memoryId)) {
+      if (listed && !filtered.some((memory) => memory.memory_id === memoryId)) {
         setGroupKey("");
         setSearch("");
         setFilterNotice("已清除筛选，定位到关联记忆。");
@@ -477,7 +502,14 @@ export function MemoryMap(props: Props) {
       setInspectorOpen(true);
       onOpenMemory(memoryId);
     },
-    [active, filtered, library, onOpenMemory, pendingPageOffset],
+    [
+      active,
+      filtered,
+      library,
+      onOpenMemory,
+      pendingPageOffset,
+      projectedMemoryIds,
+    ],
   );
   useEffect(() => {
     if (
@@ -597,12 +629,18 @@ export function MemoryMap(props: Props) {
       return;
     if (
       requestedId &&
-      !active.some((memory) => memory.memory_id === requestedId)
+      !active.some((memory) => memory.memory_id === requestedId) &&
+      !projectedMemoryIds.has(requestedId)
     ) {
       clear();
       return;
     }
-    if (!activeId || filtered.some((memory) => memory.memory_id === activeId))
+    const listed = active.some((memory) => memory.memory_id === activeId);
+    if (
+      !activeId ||
+      filtered.some((memory) => memory.memory_id === activeId) ||
+      (!listed && projectedMemoryIds.has(activeId))
+    )
       return;
     clear();
     setFilterNotice("所选记忆不在当前筛选内，已取消选择。");
@@ -615,6 +653,7 @@ export function MemoryMap(props: Props) {
     overlaysSuspended,
     library?.loading,
     pendingPageOffset,
+    projectedMemoryIds,
   ]);
   function closeInspector() {
     if (!compact) {
@@ -645,6 +684,9 @@ export function MemoryMap(props: Props) {
     setGroupKey(key);
   }
   function pickNode(node: MemoryGraphNode) {
+    // Topics are graph annotations, not detail-bearing records. They remain
+    // hoverable in the canvas but must not replace the memory inspector.
+    if (node.node_type === "topic") return;
     if (node.memory_id) {
       pick(node.memory_id);
       return;
@@ -669,11 +711,6 @@ export function MemoryMap(props: Props) {
         if (first) pick(first, false);
       }
     }
-    if (node.node_type === "topic") {
-      if (props.simplified) return;
-      setAxis("topic");
-      setGroupKey(`topic:${node.label}`);
-    }
   }
   const label =
     group?.label ??
@@ -699,6 +736,7 @@ export function MemoryMap(props: Props) {
           : "";
   if (
     props.simplified &&
+    !raw &&
     (!library ||
       (!library.loading &&
         !library.failed &&
@@ -779,6 +817,17 @@ export function MemoryMap(props: Props) {
               value={controlledSource}
               options={[
                 { value: "", label: text("全部应用") },
+                ...(raw &&
+                !sources.some(
+                  (source) => source.source_id === "one-memory-manual",
+                )
+                  ? [
+                      {
+                        value: "source:one-memory-manual",
+                        label: text("手动添加"),
+                      },
+                    ]
+                  : []),
                 ...(library?.source &&
                 library.source !== library.unattributedSource &&
                 !sources.some(
@@ -860,11 +909,15 @@ export function MemoryMap(props: Props) {
         >
           <Search size={16} aria-hidden="true" />
           <input
-            aria-label={text("筛选地图记忆")}
+            aria-label={raw ? t("sdk.raw.searchLabel") : text("筛选地图记忆")}
             name="map-memory-search"
             autoComplete="off"
             placeholder={
-              props.simplified ? text("搜索记忆") : text("筛选记忆…")
+              raw
+                ? t("sdk.raw.searchLabel")
+                : props.simplified
+                  ? text("搜索记忆")
+                  : text("筛选记忆…")
             }
             value={library ? searchDraft : search}
             maxLength={library ? 512 : undefined}
@@ -971,7 +1024,7 @@ export function MemoryMap(props: Props) {
         <ul
           ref={memoryList}
           className="map-memory-list"
-          aria-label={text("地图记忆列表")}
+          aria-label={raw ? t("memory:原始对话") : text("地图记忆列表")}
           id="memory-pane-memories"
         >
           {filtered.map((m) => (
@@ -1014,12 +1067,12 @@ export function MemoryMap(props: Props) {
                         m.updated_at,
                         locale,
                       )}`}
-                      {/* D99: the conversation date alone would hide that this
-                          one was made today, so the generated day stays too. */}
-                      <span className="map-memory-made">
-                        {text("沉淀于 ")}
-                        {dayStamp(m.updated_at, locale)}
-                      </span>
+                      {!raw ? (
+                        <span className="map-memory-made">
+                          {text("沉淀于 ")}
+                          {dayStamp(m.updated_at, locale)}
+                        </span>
+                      ) : null}
                     </>
                   ) : (
                     text("已可用 · {count} 段原文", {
@@ -1033,9 +1086,11 @@ export function MemoryMap(props: Props) {
         </ul>
         {library?.failed && (
           <div role="alert">
-            <p>{text("记忆读取失败，请重试。")}</p>
+            <p>
+              {raw ? t("sdk.raw.loadFailed") : text("记忆读取失败，请重试。")}
+            </p>
             <R6Button onClick={retryLibrary}>
-              {text("重新读取地图记忆")}
+              {raw ? t("connectionFallback.retry") : text("重新读取地图记忆")}
             </R6Button>
           </div>
         )}
@@ -1045,13 +1100,17 @@ export function MemoryMap(props: Props) {
           !library.stale &&
           !filtered.length && (
             <p className="map-empty">
-              {library.query
-                ? text("没有匹配的记忆")
-                : library.source
-                  ? text("这个来源下还没有记忆")
-                  : groupKey
-                    ? text("本页没有匹配的主题记忆")
-                    : text("还没有已生成的记忆")}
+              {raw
+                ? library.query
+                  ? t("sdk.raw.found", { count: 0 })
+                  : t("sdk.raw.empty")
+                : library.query
+                  ? text("没有匹配的记忆")
+                  : library.source
+                    ? text("这个来源下还没有记忆")
+                    : groupKey
+                      ? text("本页没有匹配的主题记忆")
+                      : text("还没有已生成的记忆")}
             </p>
           )}
         {library?.page?.search_window &&
@@ -1151,12 +1210,20 @@ export function MemoryMap(props: Props) {
             <span className="map-kicker" hidden={props.simplified}>
               {text(axis === "topic" ? "主题视角（非事项）" : "来源视角")}
             </span>
-            <h2>{props.simplified ? text("记忆关联") : label}</h2>
+            <h2>
+              {props.simplified
+                ? raw
+                  ? t("memory:原始对话")
+                  : text("记忆关联")
+                : label}
+            </h2>
             {props.simplified && (
               <p className="selected-graph-subtitle">
                 {projection.nodes.length
                   ? text("来源归属")
-                  : text("可在沉淀记忆后查看视图")}
+                  : raw
+                    ? t("sdk.raw.empty")
+                    : text("可在沉淀记忆后查看视图")}
               </p>
             )}
           </div>
@@ -1195,21 +1262,33 @@ export function MemoryMap(props: Props) {
                   : {})}
               >
                 {library?.stale
-                  ? text("可在沉淀记忆后查看视图")
+                  ? raw
+                    ? t("sdk.raw.loadFailed")
+                    : text("可在沉淀记忆后查看视图")
                   : library?.graphFailed || library?.failed
-                    ? text("记忆暂时无法读取")
+                    ? raw
+                      ? t("sdk.raw.loadFailed")
+                      : text("记忆暂时无法读取")
                     : library?.graphLoading
                       ? text("正在读取记忆地图…")
                       : library?.page &&
                           (library.query || library.source || groupKey)
-                        ? text("当前筛选没有可显示的记忆")
+                        ? raw
+                          ? t("sdk.raw.found", { count: 0 })
+                          : text("当前筛选没有可显示的记忆")
                         : !loaded
-                          ? text("正在读取记忆…")
+                          ? raw
+                            ? t("sdk.raw.recent")
+                            : text("正在读取记忆…")
                           : active.length
-                            ? text("当前筛选没有可显示的记忆")
-                            : arrival.importedMessages > 0
-                              ? text("已保存的对话还未生成记忆")
-                              : text("还没有可显示的记忆")}
+                            ? raw
+                              ? t("sdk.raw.found", { count: 0 })
+                              : text("当前筛选没有可显示的记忆")
+                            : raw
+                              ? t("sdk.raw.empty")
+                              : arrival.importedMessages > 0
+                                ? text("已保存的对话还未生成记忆")
+                                : text("还没有可显示的记忆")}
               </p>
               {library?.graphFailed ? (
                 <R6Button onClick={library.onRetry}>
@@ -1313,13 +1392,18 @@ export function MemoryMap(props: Props) {
       >
         <header className="map-inspector-heading">
           <h2>
-            {inspectorDetail
-              ? text("记忆详情")
-              : selectedSource
+            {raw
+              ? t("memory:原始对话")
+              : inspectorDetail
                 ? text("记忆详情")
-                : visibleGroupNode
-                  ? text("关联节点")
-                  : text("记忆详情")}
+                : selectedSource
+                  ? text("记忆详情")
+                  : visibleGroupNode
+                    ? visibleGroupNode.node_type === "topic" ||
+                      visibleGroupNode.node_type === "schema"
+                      ? visibleGroupNode.label
+                      : text("关联节点")
+                    : text("记忆详情")}
           </h2>
           {(activeId || visibleGroupNode) && (
             <button
@@ -1339,7 +1423,9 @@ export function MemoryMap(props: Props) {
               {library?.failed &&
               library.source === selectedSource.source_id ? (
                 <>
-                  <p role="alert">{text("记忆暂时无法读取")}</p>
+                  <p role="alert">
+                    {raw ? t("sdk.raw.loadFailed") : text("记忆暂时无法读取")}
+                  </p>
                   <button
                     type="button"
                     className="secondary"
@@ -1356,10 +1442,12 @@ export function MemoryMap(props: Props) {
                     <i />
                     <i />
                   </div>
-                  <p role="status">{text("正在读取记忆详情…")}</p>
+                  <p role="status">
+                    {raw ? t("sdk.raw.recent") : text("正在读取记忆详情…")}
+                  </p>
                 </>
               ) : (
-                <p>{text("还没有已生成的记忆")}</p>
+                <p>{raw ? t("sdk.raw.empty") : text("还没有已生成的记忆")}</p>
               )}
             </div>
           ) : props.simplified && inspectorDetail ? (
@@ -1423,6 +1511,8 @@ export function MemoryMap(props: Props) {
                   </div>
                   <p role="status">{text("正在读取这条记忆…")}</p>
                 </div>
+              ) : raw && props.rawRecord ? (
+                <SelectedRawDetail record={props.rawRecord} sources={sources} />
               ) : (
                 <SelectedMemoryDetail
                   detail={inspectorDetail}
@@ -1452,6 +1542,7 @@ export function MemoryMap(props: Props) {
               onDraft={props.onDraft}
               onSave={props.onSave}
               onDelete={props.onDelete}
+              onOpenMemory={pick}
               requestIds={props.requestIds}
               onClose={closeInspector}
             />

memhub/apps/web/src/MemoryModeChoiceList.test.tsx

@@ -0,0 +1,64 @@
+// @vitest-environment jsdom
+
+import { cleanup, render, screen } from "@testing-library/react";
+import userEvent from "@testing-library/user-event";
+import { useState } from "react";
+import { afterEach, expect, it, vi } from "vitest";
+import { MemoryModeChoiceList } from "./MemoryModeChoiceList";
+
+afterEach(cleanup);
+
+const modes = [
+  { mode: "lite" as const, title: "Lite", description: "Raw conversations" },
+  { mode: "pro" as const, title: "Pro", description: "Extracted memories" },
+];
+
+it("supports native radio keyboard selection and reports the chosen control", async () => {
+  const changed = vi.fn();
+  function Harness() {
+    const [selected, setSelected] = useState<"lite" | "pro">("lite");
+    return (
+      <MemoryModeChoiceList
+        aria-label="Memory mode"
+        modes={modes}
+        selected={selected}
+        onChange={(mode, control) => {
+          changed(mode, control);
+          setSelected(mode as "lite" | "pro");
+        }}
+      />
+    );
+  }
+
+  const user = userEvent.setup();
+  render(<Harness />);
+  const lite = screen.getByRole("radio", { name: /Lite/ });
+  lite.focus();
+  await user.keyboard("{ArrowDown}");
+
+  const pro = screen.getByRole<HTMLInputElement>("radio", { name: /Pro/ });
+  expect(pro.checked).toBe(true);
+  expect(changed).toHaveBeenCalledWith("pro", pro);
+});
+
+it("exposes current and recommended badges while respecting per-mode disabled state", () => {
+  render(
+    <MemoryModeChoiceList
+      aria-label="Memory mode"
+      modes={modes}
+      current="lite"
+      selected="lite"
+      currentBadge="Current"
+      recommended={{ mode: "pro", badge: "Recommended" }}
+      disabled={(mode) => mode === "pro"}
+      onChange={vi.fn()}
+    />,
+  );
+
+  expect(screen.getByText("Current")).toBeTruthy();
+  expect(screen.getByText("Recommended")).toBeTruthy();
+  expect(screen.getByRole("radio", { name: /Pro/ })).toHaveProperty(
+    "disabled",
+    true,
+  );
+});

memhub/apps/web/src/MemoryModeChoiceList.tsx

@@ -0,0 +1,84 @@
+import type { MemoryPipelineMode } from "@one-memory/contracts";
+import { type ReactNode, useId } from "react";
+import "./r6-controls.css";
+
+export type MemoryModeChoice = {
+  mode: MemoryPipelineMode;
+  title: ReactNode;
+  description: ReactNode;
+};
+
+export function MemoryModeChoiceList({
+  modes,
+  current,
+  selected,
+  disabled = false,
+  onChange,
+  currentBadge,
+  recommended,
+  "aria-label": ariaLabel,
+  "aria-busy": ariaBusy,
+}: {
+  modes: readonly MemoryModeChoice[];
+  current?: MemoryPipelineMode;
+  selected: MemoryPipelineMode | null;
+  disabled?: boolean | ((mode: MemoryPipelineMode) => boolean);
+  onChange(mode: MemoryPipelineMode, control: HTMLInputElement): void;
+  currentBadge?: ReactNode;
+  recommended?: {
+    mode: MemoryPipelineMode;
+    badge: ReactNode;
+  };
+  "aria-label": string;
+  "aria-busy"?: boolean;
+}) {
+  const name = useId();
+  const isDisabled = (mode: MemoryPipelineMode) =>
+    typeof disabled === "function" ? disabled(mode) : disabled;
+
+  return (
+    <div
+      className="memory-mode-choice-list"
+      role="radiogroup"
+      aria-label={ariaLabel}
+      aria-busy={ariaBusy || undefined}
+    >
+      {modes.map((choice) => {
+        const checked = selected === choice.mode;
+        const unavailable = isDisabled(choice.mode);
+        return (
+          <label
+            key={choice.mode}
+            className="memory-mode-choice"
+            data-selected={checked || undefined}
+            data-current={current === choice.mode || undefined}
+            data-disabled={unavailable || undefined}
+          >
+            <input
+              type="radio"
+              name={name}
+              value={choice.mode}
+              checked={checked}
+              disabled={unavailable}
+              onChange={(event) => onChange(choice.mode, event.currentTarget)}
+            />
+            <span className="memory-mode-choice-copy">
+              <span className="memory-mode-choice-heading">
+                <strong>{choice.title}</strong>
+                {recommended?.mode === choice.mode ? (
+                  <span className="memory-mode-choice-badge">
+                    {recommended.badge}
+                  </span>
+                ) : null}
+              </span>
+              <small>{choice.description}</small>
+            </span>
+            {current === choice.mode && currentBadge ? (
+              <span className="memory-mode-choice-current">{currentBadge}</span>
+            ) : null}
+          </label>
+        );
+      })}
+    </div>
+  );
+}

memhub/apps/web/src/MemoryModeSettings.test.tsx

@@ -0,0 +1,458 @@
+// @vitest-environment jsdom
+
+import { legacyMemoryModePlan } from "@one-memory/operations";
+import {
+  cleanup,
+  render,
+  screen,
+  waitFor,
+  within,
+} from "@testing-library/react";
+import userEvent from "@testing-library/user-event";
+import { afterEach, expect, it, vi } from "vitest";
+import {
+  apiErrorCode,
+  getEvolveOverview,
+  getEvolveSchedule,
+  getMemoryMode,
+  getMemoryProcessing,
+  memoryModePlanUnsupported,
+  planMemoryMode,
+  setEvolveSchedule,
+  setMemoryMode,
+} from "./api";
+import { MemoryModeSettings } from "./MemoryModeSettings";
+
+vi.mock("./api", () => ({
+  getMemoryMode: vi.fn(),
+  setMemoryMode: vi.fn(),
+  getEvolveSchedule: vi.fn(),
+  setEvolveSchedule: vi.fn(),
+  getEvolveOverview: vi.fn(),
+  startEvolve: vi.fn(),
+  getMemoryProcessing: vi.fn(),
+  planMemoryMode: vi.fn(),
+  memoryModePlanUnsupported: vi.fn().mockReturnValue(false),
+  apiErrorCode: vi.fn().mockReturnValue(null),
+}));
+
+function state(mode: "lite" | "pro" | "ultra" = "pro") {
+  return {
+    mode,
+    configured_mode: mode,
+    explicitly_configured: true,
+    forced_by_env: false,
+    modes: ["lite", "pro", "ultra"] as Array<"lite" | "pro" | "ultra">,
+    graph_build: {
+      state: "idle" as const,
+      started_at: null,
+      finished_at: null,
+      users: {},
+    },
+  };
+}
+
+function prepare(mode: "lite" | "pro" | "ultra" = "pro") {
+  vi.mocked(getMemoryMode).mockResolvedValue(state(mode));
+  vi.mocked(getEvolveSchedule).mockResolvedValue({
+    enabled: true,
+    time: "03:00",
+  });
+  vi.mocked(getEvolveOverview).mockResolvedValue({
+    mode,
+    schedule: { enabled: true, time: "03:00" },
+    users: {},
+    running: [],
+  });
+  vi.mocked(getMemoryProcessing).mockResolvedValue({} as never);
+  vi.mocked(planMemoryMode).mockImplementation(async (target) =>
+    legacyMemoryModePlan(mode, target, { hasActiveModel: true }),
+  );
+}
+
+async function chooseMode(
+  user: ReturnType<typeof userEvent.setup>,
+  name: RegExp,
+) {
+  const option = await screen.findByRole("radio", { name });
+  await user.click(option);
+  return option;
+}
+
+afterEach(() => {
+  cleanup();
+  vi.clearAllMocks();
+  vi.mocked(apiErrorCode).mockReturnValue(null);
+  vi.mocked(memoryModePlanUnsupported).mockReturnValue(false);
+});
+
+it("renders all settings modes as one grouped shared choice list", async () => {
+  prepare("pro");
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  const group = await screen.findByRole("radiogroup", {
+    name: "当前模式",
+  });
+  expect(within(group).getAllByRole("radio")).toHaveLength(3);
+  expect(
+    within(group).getByText("当前模式").closest("label")?.textContent,
+  ).toContain("智能记忆（pro）");
+});
+
+it("confirms the data effects before switching to lite", async () => {
+  prepare("pro");
+  vi.mocked(setMemoryMode).mockResolvedValue({
+    ...state("lite"),
+    previous_mode: "pro",
+    effects: ["higher_mode_memories_hidden"],
+  });
+  const user = userEvent.setup();
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  await chooseMode(user, /基础记忆（lite）/);
+  expect(screen.getByText(/已有记忆继续保留/)).toBeTruthy();
+  expect(screen.getByText("模型调用与费用")).toBeTruthy();
+  expect(screen.getByText("搜索范围")).toBeTruthy();
+  expect(setMemoryMode).not.toHaveBeenCalled();
+
+  await user.click(
+    screen.getByRole("button", { name: "切换到基础记忆（lite）" }),
+  );
+  await waitFor(() => expect(setMemoryMode).toHaveBeenCalledWith("lite"));
+  await waitFor(() =>
+    expect(document.activeElement).toBe(
+      screen.getByRole("radio", { name: /基础记忆（lite）/ }),
+    ),
+  );
+});
+
+it("traps modal focus, closes on Escape and restores the mode-card focus", async () => {
+  prepare("pro");
+  const outside = document.createElement("button");
+  document.body.append(outside);
+  const user = userEvent.setup();
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+  const lite = await chooseMode(user, /基础记忆（lite）/);
+
+  const cancel = screen.getByRole("button", { name: "取消" });
+  await waitFor(() => expect(document.activeElement).toBe(cancel));
+  expect(outside.inert).toBe(true);
+  await user.keyboard("{Shift>}{Tab}{/Shift}");
+  expect(document.activeElement).toBe(
+    screen.getByRole("button", { name: "切换到基础记忆（lite）" }),
+  );
+  await user.keyboard("{Escape}");
+
+  expect(screen.queryByRole("dialog")).toBeNull();
+  expect(outside.inert).toBeFalsy();
+  expect(document.activeElement).toBe(lite);
+  outside.remove();
+});
+
+it("keeps focus inside the modal while the mode change is pending", async () => {
+  prepare("pro");
+  vi.mocked(setMemoryMode).mockReturnValue(new Promise(() => {}));
+  const user = userEvent.setup();
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+  await chooseMode(user, /基础记忆（lite）/);
+  await user.click(
+    screen.getByRole("button", { name: "切换到基础记忆（lite）" }),
+  );
+
+  const modal = screen.getByRole("dialog");
+  await waitFor(() => expect(document.activeElement).toBe(modal));
+  await user.keyboard("{Tab}");
+  expect(document.activeElement).toBe(modal);
+});
+
+it("routes to model setup instead of switching pro without a model", async () => {
+  prepare("lite");
+  vi.mocked(planMemoryMode).mockResolvedValue({
+    current: "lite",
+    target: "pro",
+    effective_target: "pro",
+    capabilities: {
+      content_plane: "memory",
+      generation_required: true,
+      graph_enabled: false,
+      evolve_available: false,
+    },
+    effects: ["earlier_raw_not_extracted", "lite_search_stops"],
+    warnings: [],
+    blockers: ["active_model_required"],
+  });
+  const configure = vi.fn();
+  const user = userEvent.setup();
+  render(
+    <MemoryModeSettings hasActiveModel={false} onConfigureModel={configure} />,
+  );
+
+  await chooseMode(user, /智能记忆（pro）/);
+  expect(configure).toHaveBeenCalledExactlyOnceWith(
+    "使用 pro 或 ultra 前需要先配置并启用生成模型。",
+  );
+  expect(setMemoryMode).not.toHaveBeenCalled();
+});
+
+it("uses the isolated legacy plan only for a route-level old-Core 404", async () => {
+  prepare("pro");
+  vi.mocked(planMemoryMode).mockRejectedValue(new Error("404"));
+  vi.mocked(memoryModePlanUnsupported).mockReturnValue(true);
+  const user = userEvent.setup();
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  await chooseMode(user, /基础记忆（lite）/);
+  expect(planMemoryMode).toHaveBeenCalledWith("lite");
+  expect(await screen.findByText(/已有记忆继续保留/)).toBeTruthy();
+});
+
+it("keeps downgrade effects when an old Core falls back from ultra to pro", async () => {
+  prepare("ultra");
+  vi.mocked(planMemoryMode).mockRejectedValue(new Error("404"));
+  vi.mocked(memoryModePlanUnsupported).mockReturnValue(true);
+  const user = userEvent.setup();
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  await chooseMode(user, /智能记忆（pro）/);
+
+  const dialog = screen.getByRole("dialog");
+  expect(within(dialog).getAllByText("已有数据")).toHaveLength(1);
+  expect(within(dialog).getByText("每天自动整合")).toBeTruthy();
+});
+
+it("explains model cost, search scope and the next step before switching to ultra", async () => {
+  prepare("lite");
+  const user = userEvent.setup();
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  await chooseMode(user, /深度记忆（ultra）/);
+
+  expect(screen.getByText("模型调用与费用")).toBeTruthy();
+  expect(screen.getByText("搜索范围")).toBeTruthy();
+  expect(screen.getByText("切换后")).toBeTruthy();
+  expect(screen.getByText(/已经处理完的旧对话不会补做/)).toBeTruthy();
+  expect(screen.getByText("知识图谱")).toBeTruthy();
+  expect(screen.getAllByText("已有数据")).toHaveLength(1);
+  expect(screen.getByText(/切换本身不会立即整合/)).toBeTruthy();
+});
+
+it("distinguishes regular memories from higher-level Ultra data when switching to pro", async () => {
+  prepare("ultra");
+  const user = userEvent.setup();
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  await chooseMode(user, /智能记忆（pro）/);
+
+  const dialog = screen.getByRole("dialog");
+  expect(within(dialog).getAllByText("已有数据")).toHaveLength(1);
+  expect(within(dialog).getByText(/普通沉淀记忆仍可使用/)).toBeTruthy();
+  expect(within(dialog).getByText(/更高层记忆和图谱数据继续保留/)).toBeTruthy();
+  expect(within(dialog).getByText("每天自动整合")).toBeTruthy();
+  expect(
+    within(dialog).getByText("每天自动整合会停止；已生成的整合结果继续保留。"),
+  ).toBeTruthy();
+});
+
+it("does not show automatic consolidation when switching from lite to pro", async () => {
+  prepare("lite");
+  const user = userEvent.setup();
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  await chooseMode(user, /智能记忆（pro）/);
+
+  const dialog = screen.getByRole("dialog");
+  expect(within(dialog).getAllByText("已有数据")).toHaveLength(1);
+  expect(within(dialog).getByText(/已经处理完的旧对话不会补做/)).toBeTruthy();
+  expect(within(dialog).queryByText("每天自动整合")).toBeNull();
+});
+
+it("focuses the Evolve settings after switching to ultra", async () => {
+  prepare("pro");
+  vi.mocked(setMemoryMode).mockResolvedValue({
+    ...state("ultra"),
+    previous_mode: "pro",
+    effects: ["existing_memories_added_to_graph"],
+  });
+  const user = userEvent.setup();
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+  await screen.findByRole("radio", { name: /智能记忆（pro）/ });
+  vi.mocked(getMemoryMode).mockResolvedValue(state("ultra"));
+
+  await chooseMode(user, /深度记忆（ultra）/);
+  await user.click(
+    screen.getByRole("button", { name: "切换到深度记忆（ultra）" }),
+  );
+
+  await waitFor(() =>
+    expect(document.activeElement?.getAttribute("id")).toContain("-evolve"),
+  );
+  expect(
+    screen.getByRole("heading", { name: "记忆整合（Evolve）" }),
+  ).toBeTruthy();
+});
+
+it("shows the default nightly evolve controls in ultra", async () => {
+  prepare("ultra");
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  expect(
+    (await screen.findByRole("switch", { name: "每天自动整合" })).getAttribute(
+      "aria-checked",
+    ),
+  ).toBe("true");
+  expect((screen.getByLabelText("执行时间") as HTMLInputElement).value).toBe(
+    "03:00",
+  );
+  expect(screen.getByText(/只运行这一次，不改变每天的计划/)).toBeTruthy();
+  expect(screen.getByRole("button", { name: "立即整合" })).toBeTruthy();
+});
+
+it("hides the time field when automatic evolve is off and keeps the saved time visible", async () => {
+  prepare("ultra");
+  vi.mocked(setEvolveSchedule).mockResolvedValue({
+    enabled: false,
+    time: "03:00",
+  });
+  const user = userEvent.setup();
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  const automatic = await screen.findByRole("switch", {
+    name: "每天自动整合",
+  });
+  await user.click(automatic);
+
+  await screen.findByText(/重新开启后仍按 03:00 运行/);
+  expect(screen.queryByLabelText("执行时间")).toBeNull();
+  expect(screen.getByRole("button", { name: "立即整合" })).toBeTruthy();
+});
+
+it("updates mode state automatically without showing a manual refresh control", async () => {
+  prepare("pro");
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+  const pro = await screen.findByRole("radio", { name: /智能记忆（pro）/ });
+
+  expect((pro as HTMLInputElement).checked).toBe(true);
+  expect(screen.queryByRole("button", { name: "刷新记忆模式" })).toBeNull();
+  expect(getMemoryMode).toHaveBeenCalledTimes(1);
+  await waitFor(() => {
+    expect(getEvolveSchedule).toHaveBeenCalledTimes(1);
+  });
+});
+
+it("keeps the mode usable when an evolve status read fails", async () => {
+  prepare("pro");
+  vi.mocked(getEvolveSchedule).mockRejectedValueOnce(new Error("offline"));
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  expect(
+    (await screen.findByRole("radio", {
+      name: /智能记忆（pro）/,
+    })) as HTMLInputElement,
+  ).toHaveProperty("disabled", false);
+});
+
+it("offers a text recovery action when the mode read fails", async () => {
+  prepare("pro");
+  vi.mocked(getMemoryMode).mockRejectedValueOnce(new Error("offline"));
+  const user = userEvent.setup();
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  expect(
+    await screen.findByText("记忆模式状态暂时无法读取，请重试。"),
+  ).toBeTruthy();
+  expect(
+    screen.getByRole("radio", { name: /基础记忆（lite）/ }),
+  ).toHaveProperty("disabled", true);
+
+  await user.click(screen.getByRole("button", { name: "重新读取" }));
+  await waitFor(() =>
+    expect(
+      screen.getByRole("radio", { name: /智能记忆（pro）/ }),
+    ).toHaveProperty("disabled", false),
+  );
+});
+
+it("keeps a failed switch explanation inside the open confirmation dialog", async () => {
+  prepare("pro");
+  vi.mocked(apiErrorCode).mockReturnValue("graph_store_unavailable");
+  vi.mocked(setMemoryMode).mockRejectedValue(new Error("unavailable"));
+  const user = userEvent.setup();
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  await chooseMode(user, /深度记忆（ultra）/);
+  await user.click(
+    screen.getByRole("button", { name: "切换到深度记忆（ultra）" }),
+  );
+
+  const dialog = screen.getByRole("dialog");
+  expect(
+    await within(dialog).findByText(
+      "当前安装缺少知识图谱组件，无法开启 ultra。",
+    ),
+  ).toBeTruthy();
+});
+
+it("keeps lite available while model status is unknown", async () => {
+  prepare("pro");
+  render(
+    <MemoryModeSettings
+      hasActiveModel={false}
+      modelStateKnown={false}
+      onConfigureModel={vi.fn()}
+    />,
+  );
+
+  expect(
+    await screen.findByRole("radio", { name: /基础记忆（lite）/ }),
+  ).toHaveProperty("disabled", false);
+  expect(screen.getByRole("radio", { name: /智能记忆（pro）/ })).toHaveProperty(
+    "disabled",
+    true,
+  );
+  expect(
+    screen.getByRole("radio", { name: /深度记忆（ultra）/ }),
+  ).toHaveProperty("disabled", true);
+});
+
+it("blocks mode and Evolve controls during embedding maintenance", async () => {
+  prepare("ultra");
+  vi.mocked(getMemoryProcessing).mockResolvedValue({
+    embedding_switch: { phase: "running" },
+  } as never);
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  expect(
+    await screen.findByText(
+      "正在检查或切换向量模型，完成前不能切换模式或手动整合。",
+    ),
+  ).toBeTruthy();
+  expect(
+    screen.getByRole("radio", { name: /基础记忆（lite）/ }),
+  ).toHaveProperty("disabled", true);
+  expect(screen.getByRole("button", { name: "立即整合" })).toHaveProperty(
+    "disabled",
+    true,
+  );
+});
+
+it("blocks lifecycle controls while the knowledge graph is being built", async () => {
+  prepare("ultra");
+  vi.mocked(getMemoryMode).mockResolvedValue({
+    ...state("ultra"),
+    graph_build: {
+      state: "running",
+      started_at: "2026-11-03T09:00:00Z",
+      finished_at: null,
+      users: {},
+    },
+  });
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  expect(
+    await screen.findByText("正在把已有高级记忆加入知识图谱…"),
+  ).toBeTruthy();
+  expect(screen.getByRole("button", { name: "立即整合" })).toHaveProperty(
+    "disabled",
+    true,
+  );
+});

memhub/apps/web/src/MemoryModeSettings.tsx

@@ -0,0 +1,560 @@
+import type {
+  EvolveOverview,
+  EvolveRunReceipt,
+  EvolveSchedule,
+  MemoryModeChange,
+  MemoryModePlan,
+  MemoryModeState,
+  MemoryPipelineMode,
+} from "@one-memory/contracts";
+import { legacyMemoryModePlan } from "@one-memory/operations";
+import { useCallback, useEffect, useId, useRef, useState } from "react";
+import {
+  apiErrorCode,
+  getEvolveOverview,
+  getEvolveSchedule,
+  getMemoryMode,
+  getMemoryProcessing,
+  memoryModePlanUnsupported,
+  planMemoryMode,
+  setEvolveSchedule,
+  setMemoryMode,
+  startEvolve,
+} from "./api";
+import {
+  commitConfirmedMemoryMode,
+  issueConfirmedModeTicket,
+} from "./confirmed-memory-mode";
+import { MemoryModeChoiceList } from "./MemoryModeChoiceList";
+import { useOnboardingTranslation } from "./onboarding-language";
+import { R6Button, R6Switch } from "./R6Controls";
+import { R6StateRecovery } from "./R6StateRecovery";
+
+const MODE_COPY: Record<
+  MemoryPipelineMode,
+  { title: string; description: string }
+> = {
+  lite: {
+    title: "基础记忆（lite）",
+    description: "保存原始对话 · 不调用生成模型 · 搜索原始会话",
+  },
+  pro: {
+    title: "智能记忆（pro）",
+    description: "沉淀高级记忆 · 调用生成模型 · 搜索沉淀记忆",
+  },
+  ultra: {
+    title: "深度记忆（ultra）",
+    description: "智能记忆 + 知识图谱 · 可自动 Evolve · 增强关联召回",
+  },
+};
+
+function planRows(plan: MemoryModePlan) {
+  const rows = [
+    {
+      label: "新对话",
+      content:
+        plan.capabilities.content_plane === "raw"
+          ? "之后只保存原始对话，不再生成新记忆。"
+          : plan.capabilities.graph_enabled
+            ? "新对话会整理成记忆并写入知识图谱。"
+            : "新对话会由模型整理成记忆。",
+    },
+    {
+      label: "模型调用与费用",
+      content: plan.capabilities.generation_required
+        ? plan.capabilities.evolve_available
+          ? "会调用当前生成模型；自动整合可能产生额外费用。切换本身不会立即整合。"
+          : "会调用当前生成模型，可能产生服务商费用。"
+        : "不调用生成模型，不再产生这部分费用。",
+    },
+    {
+      label: "搜索范围",
+      content:
+        plan.capabilities.content_plane === "raw"
+          ? "切换后搜索原始对话。"
+          : plan.capabilities.graph_enabled
+            ? "搜索沉淀记忆，并用知识图谱补充关联。"
+            : "搜索沉淀后的记忆。",
+    },
+  ];
+  if (plan.effects.includes("earlier_raw_not_extracted"))
+    rows.push({
+      label: "已有数据",
+      content: "已经处理完的旧对话不会补做；原始对话全部保留。",
+    });
+  if (plan.effects.includes("higher_mode_memories_hidden"))
+    rows.push({
+      label: "已有数据",
+      content:
+        plan.effective_target === "pro"
+          ? "普通沉淀记忆仍可使用；深度记忆新增的更高层记忆和图谱数据继续保留，但在智能记忆下不显示、不参与召回。原始对话不会删除。"
+          : "已有记忆继续保留，但在基础记忆下不显示、不参与召回；原始对话不会删除。",
+    });
+  if (plan.effects.includes("existing_memories_added_to_graph"))
+    rows.push({
+      label: "知识图谱",
+      content: "已有记忆会在后台加入知识图谱，期间仍可使用。",
+    });
+  if (plan.effects.includes("evolve_stopped"))
+    rows.push({
+      label: "每天自动整合",
+      content: "每天自动整合会停止，已经生成的数据不会删除。",
+    });
+  if (plan.capabilities.evolve_available)
+    rows.push({
+      label: "切换后",
+      content: "可设置每天自动整合时间，也可以随时立即整合一次。",
+    });
+  return rows;
+}
+
+const BLOCKER_COPY: Record<MemoryModePlan["blockers"][number], string> = {
+  active_model_required: "使用 pro 或 ultra 前需要先配置并启用生成模型。",
+  embedding_maintenance_in_progress:
+    "正在检查或切换向量模型，完成后才能切换记忆模式。",
+  memory_lifecycle_busy: "记忆维护正在进行，完成后才能切换模式。",
+  graph_store_unavailable: "当前安装缺少知识图谱组件，无法开启 ultra。",
+};
+
+export function MemoryModeSettings({
+  hasActiveModel,
+  modelStateKnown = true,
+  onConfigureModel,
+  onModeChange,
+}: {
+  hasActiveModel: boolean;
+  modelStateKnown?: boolean;
+  onConfigureModel(message?: string): void;
+  onModeChange?(mode: MemoryPipelineMode): void;
+}) {
+  const { text, locale } = useOnboardingTranslation();
+  const id = useId();
+  const [state, setState] = useState<MemoryModeState | null>(null);
+  const [schedule, setScheduleState] = useState<EvolveSchedule | null>(null);
+  const [overview, setOverview] = useState<EvolveOverview | null>(null);
+  const [pendingMode, setPendingMode] = useState<MemoryPipelineMode | null>(
+    null,
+  );
+  const [pendingPlan, setPendingPlan] = useState<MemoryModePlan | null>(null);
+  const [busy, setBusy] = useState(false);
+  const [maintenance, setMaintenance] = useState(false);
+  const [error, setError] = useState("");
+  const [readFailed, setReadFailed] = useState(false);
+  const [run, setRun] = useState<EvolveRunReceipt | null>(null);
+  const refreshVersion = useRef(0);
+  const dialog = useRef<HTMLElement>(null);
+  const dialogOpener = useRef<HTMLElement | null>(null);
+  const focusEvolveWhenReady = useRef(false);
+  const focusModeWhenReady = useRef<MemoryPipelineMode | null>(null);
+  const busyRef = useRef(false);
+  busyRef.current = busy;
+
+  useEffect(() => {
+    if (!pendingMode || !dialog.current) return;
+    const panel = dialog.current;
+    const inertSiblings = new Map<HTMLElement, boolean>();
+    let branch: HTMLElement = panel.parentElement ?? panel;
+    while (branch.parentElement) {
+      for (const sibling of branch.parentElement.children) {
+        if (!(sibling instanceof HTMLElement) || sibling === branch) continue;
+        inertSiblings.set(sibling, sibling.inert);
+        sibling.inert = true;
+      }
+      branch = branch.parentElement;
+      if (branch === document.body) break;
+    }
+    const controls = () =>
+      Array.from(panel.querySelectorAll<HTMLElement>("button:not(:disabled)"));
+    controls()[0]?.focus();
+    const handleKey = (event: KeyboardEvent) => {
+      if (event.key === "Escape" && !busyRef.current) {
+        event.preventDefault();
+        setPendingPlan(null);
+        setPendingMode(null);
+        return;
+      }
+      if (event.key !== "Tab") return;
+      const items = controls();
+      const first = items[0];
+      const last = items.at(-1);
+      if (!first || !last) {
+        event.preventDefault();
+        panel.focus();
+        return;
+      }
+      if (event.shiftKey && document.activeElement === first) {
+        event.preventDefault();
+        last.focus();
+      } else if (!event.shiftKey && document.activeElement === last) {
+        event.preventDefault();
+        first.focus();
+      }
+    };
+    panel.addEventListener("keydown", handleKey);
+    return () => {
+      panel.removeEventListener("keydown", handleKey);
+      for (const [sibling, wasInert] of inertSiblings) sibling.inert = wasInert;
+      if (dialogOpener.current?.isConnected) dialogOpener.current.focus();
+    };
+  }, [pendingMode]);
+
+  useEffect(() => {
+    if (pendingMode && busy) dialog.current?.focus();
+  }, [busy, pendingMode]);
+
+  useEffect(() => {
+    if (!focusEvolveWhenReady.current || pendingMode || state?.mode !== "ultra")
+      return;
+    focusEvolveWhenReady.current = false;
+    document.getElementById(`${id}-evolve`)?.focus();
+  }, [id, pendingMode, state?.mode]);
+
+  useEffect(() => {
+    const target = focusModeWhenReady.current;
+    if (!target || busy || pendingMode || state?.mode !== target) return;
+    focusModeWhenReady.current = null;
+    document
+      .querySelector<HTMLInputElement>(
+        `.r6-memory-mode-settings input[type="radio"][value="${target}"]`,
+      )
+      ?.focus();
+  }, [busy, pendingMode, state?.mode]);
+
+  const refresh = useCallback(async () => {
+    const version = ++refreshVersion.current;
+    const modeTicket = issueConfirmedModeTicket("settings");
+    const [modeResult, scheduleResult, overviewResult, processingResult] =
+      await Promise.allSettled([
+        getMemoryMode(),
+        getEvolveSchedule(),
+        getEvolveOverview(),
+        getMemoryProcessing(),
+      ]);
+    if (version !== refreshVersion.current) return;
+    if (modeResult.status === "fulfilled") {
+      commitConfirmedMemoryMode(modeResult.value.mode, modeTicket);
+      setState(modeResult.value);
+      onModeChange?.(modeResult.value.mode);
+      setError("");
+      setReadFailed(false);
+    } else {
+      setError("记忆模式状态暂时无法读取，请重试。");
+      setReadFailed(true);
+    }
+    if (scheduleResult.status === "fulfilled")
+      setScheduleState(scheduleResult.value);
+    if (overviewResult.status === "fulfilled") {
+      setOverview(overviewResult.value);
+      setRun(overviewResult.value.running[0] ?? null);
+    }
+    if (processingResult.status === "fulfilled")
+      setMaintenance(Boolean(processingResult.value.embedding_switch));
+  }, [onModeChange]);
+
+  useEffect(() => {
+    void refresh();
+  }, [refresh]);
+
+  useEffect(() => {
+    const running =
+      maintenance ||
+      state?.graph_build.state === "running" ||
+      run?.state === "running";
+    if (!running) return;
+    const timer = window.setInterval(() => void refresh(), 1500);
+    return () => window.clearInterval(timer);
+  }, [maintenance, refresh, run?.state, state?.graph_build.state]);
+
+  const lifecycleBusy =
+    maintenance ||
+    run?.state === "running" ||
+    state?.graph_build.state === "running";
+
+  async function choose(mode: MemoryPipelineMode, opener: HTMLElement) {
+    if (!state || mode === state.mode || busy || lifecycleBusy) return;
+    setError("");
+    setBusy(true);
+    let plan: MemoryModePlan;
+    try {
+      plan = await planMemoryMode(mode);
+    } catch (reason) {
+      if (!memoryModePlanUnsupported(reason)) {
+        setError("模式切换影响暂时无法读取，请重试。");
+        setBusy(false);
+        return;
+      }
+      plan = legacyMemoryModePlan(state.mode, mode, { hasActiveModel });
+    }
+    setBusy(false);
+    if (plan.blockers.includes("active_model_required")) {
+      onConfigureModel(BLOCKER_COPY.active_model_required);
+      return;
+    }
+    dialogOpener.current = opener;
+    setPendingPlan(plan);
+    setPendingMode(mode);
+  }
+
+  async function commitMode() {
+    if (!pendingMode) return;
+    const targetMode = pendingMode;
+    refreshVersion.current++;
+    const modeTicket = issueConfirmedModeTicket("settings");
+    setBusy(true);
+    setError("");
+    try {
+      const changed: MemoryModeChange = await setMemoryMode(pendingMode);
+      commitConfirmedMemoryMode(changed.mode, modeTicket);
+      focusEvolveWhenReady.current = targetMode === "ultra";
+      focusModeWhenReady.current = targetMode === "ultra" ? null : targetMode;
+      setState(changed);
+      onModeChange?.(changed.mode);
+      setPendingPlan(null);
+      setPendingMode(null);
+      await refresh();
+    } catch (reason) {
+      const code = apiErrorCode(reason);
+      setError(
+        code === "embedding_maintenance_in_progress"
+          ? "正在检查或切换向量模型，完成后才能切换记忆模式。"
+          : code === "graph_store_unavailable"
+            ? "当前安装缺少知识图谱组件，无法开启 ultra。"
+            : "模式切换未能确认，仍显示上次确认的模式。",
+      );
+    } finally {
+      setBusy(false);
+    }
+  }
+
+  async function changeSchedule(update: Partial<EvolveSchedule>) {
+    refreshVersion.current++;
+    setBusy(true);
+    setError("");
+    try {
+      setScheduleState(await setEvolveSchedule(update));
+    } catch {
+      setError("自动整合设置未能保存，请重试。");
+    } finally {
+      setBusy(false);
+    }
+  }
+
+  async function evolveNow() {
+    refreshVersion.current++;
+    setBusy(true);
+    setError("");
+    try {
+      const receipt = await startEvolve();
+      setRun(receipt);
+      await refresh();
+    } catch (reason) {
+      const code = apiErrorCode(reason);
+      setError(
+        code === "embedding_maintenance_in_progress"
+          ? "正在检查或切换向量模型，完成后才能整合记忆。"
+          : "未能开始整合记忆，请重试。",
+      );
+    } finally {
+      setBusy(false);
+    }
+  }
+
+  const last = overview?.users.local;
+  return (
+    <section
+      className="r6-memory-mode-settings"
+      aria-labelledby="memory-mode-title"
+    >
+      <div className="r6-mode-heading">
+        <div>
+          <h2 id="memory-mode-title">{text("记忆模式")}</h2>
+          <p>{text("模式决定新对话如何保存，以及记忆页面展示什么。")}</p>
+        </div>
+      </div>
+      <MemoryModeChoiceList
+        aria-label={text("当前模式")}
+        aria-busy={state === null}
+        modes={(["lite", "pro", "ultra"] as const).map((mode) => ({
+          mode,
+          title: text(MODE_COPY[mode].title),
+          description: text(MODE_COPY[mode].description),
+        }))}
+        current={state?.mode}
+        selected={state?.mode ?? null}
+        currentBadge={text("当前模式")}
+        disabled={(mode) =>
+          !state ||
+          busy ||
+          lifecycleBusy ||
+          Boolean(state.forced_by_env && mode !== state.mode) ||
+          (mode !== "lite" && !modelStateKnown)
+        }
+        onChange={(mode, control) => void choose(mode, control)}
+      />
+      {state?.forced_by_env ? (
+        <p className="r6-settings-note" role="status">
+          {text("开发环境当前强制使用 ultra，保存的选择暂不会生效。")}
+        </p>
+      ) : null}
+      {maintenance ? (
+        <p className="r6-settings-note" role="status">
+          {text("正在检查或切换向量模型，完成前不能切换模式或手动整合。")}
+        </p>
+      ) : null}
+      {state?.graph_build.state === "running" ? (
+        <p className="r6-settings-note" role="status">
+          {text("正在把已有高级记忆加入知识图谱…")}
+        </p>
+      ) : null}
+      {error && !pendingMode ? (
+        readFailed ? (
+          <R6StateRecovery
+            message={text(error)}
+            onRetry={() => void refresh()}
+          />
+        ) : (
+          <p className="r6-settings-error" role="alert">
+            {text(error)}
+          </p>
+        )
+      ) : null}
+
+      {state?.mode === "ultra" && schedule ? (
+        <section
+          id={`${id}-evolve`}
+          className="r6-evolve-settings"
+          aria-labelledby={`${id}-evolve-title`}
+          tabIndex={-1}
+        >
+          <div className="r6-evolve-heading">
+            <h3 id={`${id}-evolve-title`}>{text("记忆整合（Evolve）")}</h3>
+            <p>{text("定期重新整理已有记忆，补充更稳定的关联和结论。")}</p>
+          </div>
+          <div className="r6-evolve-setting">
+            <div className="r6-evolve-setting-copy">
+              <h3>{text("每天自动整合")}</h3>
+              <p>
+                {text(
+                  schedule.enabled
+                    ? "每天 {time} 左右自动整合，使用这台设备的本地时间；休眠错过后会补跑。"
+                    : "已关闭。重新开启后仍按 {time} 运行；已生成的结果会保留。",
+                ).replace("{time}", schedule.time)}
+              </p>
+            </div>
+            <R6Switch
+              label={text("每天自动整合")}
+              checked={schedule.enabled}
+              disabled={busy || maintenance}
+              onCheckedChange={(enabled) => void changeSchedule({ enabled })}
+            />
+            {schedule.enabled ? (
+              <div className="r6-evolve-time">
+                <div>
+                  <label htmlFor={`${id}-evolve-time`}>
+                    {text("执行时间")}
+                  </label>
+                  <p>{text("使用这台设备的本地时间。")}</p>
+                </div>
+                <input
+                  id={`${id}-evolve-time`}
+                  type="time"
+                  value={schedule.time}
+                  disabled={busy || maintenance}
+                  onChange={(event) =>
+                    void changeSchedule({ time: event.target.value })
+                  }
+                />
+              </div>
+            ) : null}
+          </div>
+          <div className="r6-evolve-setting r6-evolve-setting--manual">
+            <div className="r6-evolve-setting-copy">
+              <h3>{text("立即整合一次")}</h3>
+              <p>
+                {text("只运行这一次，不改变每天的计划。")}
+                {" · "}
+                {text(
+                  run?.state === "running"
+                    ? "正在整合记忆…"
+                    : last?.last_run_at
+                      ? text("上次整合：{time}").replace(
+                          "{time}",
+                          new Date(last.last_run_at).toLocaleString(locale),
+                        )
+                      : "尚未整合",
+                )}
+              </p>
+            </div>
+            <R6Button
+              pending={run?.state === "running"}
+              disabled={busy || lifecycleBusy}
+              onClick={() => void evolveNow()}
+            >
+              {text("立即整合")}
+            </R6Button>
+          </div>
+        </section>
+      ) : null}
+
+      {pendingMode ? (
+        <div className="r6-settings-dialog-layer" role="presentation">
+          <section
+            ref={dialog}
+            className="r6-settings-dialog r6-mode-confirm-dialog"
+            role="dialog"
+            aria-modal="true"
+            aria-labelledby="memory-mode-confirm-title"
+            tabIndex={-1}
+          >
+            <h2 id="memory-mode-confirm-title">
+              {text("切换到 {mode}？").replace(
+                "{mode}",
+                text(MODE_COPY[pendingMode].title),
+              )}
+            </h2>
+            <dl className="r6-mode-confirm-effects">
+              {(pendingPlan ? planRows(pendingPlan) : []).map((row) => (
+                <div key={`${row.label}:${row.content}`}>
+                  <dt>{text(row.label)}</dt>
+                  <dd>{text(row.content)}</dd>
+                </div>
+              ))}
+            </dl>
+            {(pendingPlan?.blockers ?? []).map((blocker) => (
+              <p className="r6-settings-error" role="alert" key={blocker}>
+                {text(BLOCKER_COPY[blocker])}
+              </p>
+            ))}
+            {error ? (
+              <p className="r6-settings-error" role="alert">
+                {text(error)}
+              </p>
+            ) : null}
+            <footer>
+              <R6Button
+                disabled={busy}
+                onClick={() => {
+                  setPendingPlan(null);
+                  setPendingMode(null);
+                }}
+              >
+                {text("取消")}
+              </R6Button>
+              <R6Button
+                variant="primary"
+                pending={busy}
+                disabled={Boolean(pendingPlan?.blockers.length)}
+                onClick={() => void commitMode()}
+              >
+                {text("切换到 {mode}").replace(
+                  "{mode}",
+                  text(MODE_COPY[pendingMode].title),
+                )}
+              </R6Button>
+            </footer>
+          </section>
+        </div>
+      ) : null}
+    </section>
+  );
+}

memhub/apps/web/src/MemorySpace.r6.test.tsx

@@ -1,4 +1,5 @@
 // @vitest-environment jsdom
+import type { SourceResponse } from "@one-memory/contracts";
 import {
   act,
   cleanup,
@@ -7,6 +8,7 @@ import {
   screen,
   waitFor,
 } from "@testing-library/react";
+import userEvent from "@testing-library/user-event";
 import { afterEach, expect, it, vi } from "vitest";
 import { LANGUAGE_STORAGE_KEY, LanguageProvider } from "./gui-language";
 import { MemorySpace } from "./MemorySpace";
@@ -74,6 +76,8 @@ const { reads } = vi.hoisted(() => ({
     sdkGraph: vi.fn(),
     processing: vi.fn(),
     profiles: vi.fn(),
+    raw: vi.fn(),
+    rawSearch: vi.fn(),
   },
 }));
 vi.mock("./api", async (importOriginal) => ({
@@ -82,17 +86,21 @@ vi.mock("./api", async (importOriginal) => ({
   getSdkMemoryGraph: reads.sdkGraph,
   getMemoryProcessing: reads.processing,
   getModelProfiles: reads.profiles,
+  getSdkRaw: reads.raw,
+  searchSdkRaw: reads.rawSearch,
 }));
 vi.mock("./GraphWidthPrompt", () => ({ GraphWidthPrompt: () => null }));
 vi.mock("./MemoryAddComposer", () => ({
   MemoryAddComposer: ({
     onPendingChange,
+    rawOnly,
   }: {
     onPendingChange?(addition: {
       evidenceId: string;
       text: string;
       state: string;
     }): void;
+    rawOnly?: boolean;
   }) => (
     <button
       type="button"
@@ -104,7 +112,7 @@ vi.mock("./MemoryAddComposer", () => ({
         })
       }
     >
-      补充记忆
+      {rawOnly ? "手动添加" : "补充记忆"}
     </button>
   ),
 }));
@@ -194,8 +202,476 @@ function setup() {
     completed: 1,
   });
   reads.profiles.mockResolvedValue([]);
+  reads.raw.mockResolvedValue({
+    items: [],
+    total: 0,
+    limit: 100,
+    offset: 0,
+  });
+  reads.rawSearch.mockResolvedValue([]);
 }
 
+function modeProcessing(mode: "lite" | "pro" | "ultra") {
+  return {
+    running: 0,
+    pending: 0,
+    blocked_stages: [],
+    completed: 1,
+    pipeline: {
+      mode,
+      configured_mode: mode,
+      forced_by_env: false,
+      evolve: {
+        mode,
+        schedule: { enabled: true, time: "03:00" },
+        users: {},
+        running: [],
+      },
+      last_evolve_at: null,
+      graph_build: {
+        state: "idle",
+        started_at: null,
+        finished_at: null,
+        users: {},
+      },
+      features: {},
+    },
+  };
+}
+
+it("shows raw conversations instead of advanced memory in lite", async () => {
+  setup();
+  reads.processing.mockResolvedValue({
+    running: 0,
+    pending: 0,
+    blocked_stages: [],
+    completed: 1,
+    pipeline: {
+      mode: "lite",
+      configured_mode: "lite",
+      forced_by_env: false,
+      evolve: {
+        mode: "lite",
+        schedule: { enabled: true, time: "03:00" },
+        users: {},
+        running: [],
+      },
+      last_evolve_at: null,
+      graph_build: {
+        state: "idle",
+        started_at: null,
+        finished_at: null,
+        users: {},
+      },
+      features: {},
+    },
+  });
+  reads.raw.mockResolvedValue({
+    items: [
+      {
+        raw_id: "raw-1",
+        content: "原始对话内容",
+        user_id: "local",
+        agent_id: "all-apps",
+        source: "cursor",
+        session_id: "session-1",
+        memory_at: null,
+        gmt_created: 1_761_000_000,
+        custom: {},
+        messages: [{ role: "user", content: "原始对话内容" }],
+      },
+    ],
+    total: 1,
+    limit: 20,
+    offset: 0,
+  });
+
+  render(<MemorySpace simplified />);
+
+  expect(await screen.findAllByText("原始对话内容")).toHaveLength(2);
+  expect(
+    document.querySelector(".core-memory-map")?.hasAttribute("hidden"),
+  ).toBe(false);
+  expect(screen.getByTestId("graph-owner")).toBeTruthy();
+  expect(screen.getByRole("textbox", { name: "搜索原始对话" })).toBeTruthy();
+  await userEvent.click(screen.getByRole("button", { name: "手动添加" }));
+  expect(
+    screen.getByText(/正在保存… 项目周会统一安排在周三上午。/),
+  ).toBeTruthy();
+  await userEvent.click(screen.getByRole("combobox", { name: "来源" }));
+  expect(screen.getByRole("option", { name: "手动添加" })).toBeTruthy();
+  expect(reads.sdkLibrary).not.toHaveBeenCalled();
+  expect(reads.sdkGraph).not.toHaveBeenCalled();
+  expect(reads.raw).toHaveBeenCalledWith(
+    expect.objectContaining({
+      source: undefined,
+      offset: 0,
+      limit: 20,
+      signal: expect.any(AbortSignal),
+    }),
+  );
+  expect(document.querySelector(".memory-mode-label")?.textContent).toBe(
+    "lite",
+  );
+  expect(document.querySelector(".memory-mode-notice")).toBeNull();
+});
+
+it("pages and filters the raw conversation data plane in lite", async () => {
+  setup();
+  reads.processing.mockResolvedValue(modeProcessing("lite"));
+  reads.raw.mockImplementation(async (options = {}) => {
+    const offset = "offset" in options ? (options.offset ?? 0) : 0;
+    const source = "source" in options ? options.source : undefined;
+    const rawId = `${source ?? "all"}-${offset}`;
+    return {
+      items: [
+        {
+          raw_id: rawId,
+          content: `原始会话 ${rawId}`,
+          user_id: "local",
+          agent_id: "all-apps",
+          source: source ?? "cursor",
+          session_id: `session-${rawId}`,
+          memory_at: null,
+          gmt_created: 1_761_000_000 - offset,
+          custom: {},
+          messages: [{ role: "user", content: `原始会话 ${rawId}` }],
+        },
+      ],
+      total: source ? 1 : 21,
+      limit: 20,
+      offset,
+    };
+  });
+  const user = userEvent.setup();
+  render(
+    <MemorySpace
+      simplified
+      sources={
+        [
+          {
+            source_id: "cursor",
+            display_name: "Cursor",
+            authorized: true,
+          },
+        ] as SourceResponse[]
+      }
+    />,
+  );
+
+  expect(await screen.findAllByText("原始会话 all-0")).toHaveLength(2);
+  await user.click(screen.getByRole("button", { name: "下一页记忆" }));
+  expect(await screen.findAllByText("原始会话 all-20")).toHaveLength(2);
+  expect(reads.raw).toHaveBeenLastCalledWith(
+    expect.objectContaining({ source: undefined, offset: 20, limit: 20 }),
+  );
+
+  await user.click(screen.getByRole("combobox", { name: "来源" }));
+  await user.click(screen.getByRole("option", { name: "Cursor" }));
+  expect(await screen.findAllByText("原始会话 cursor-0")).toHaveLength(2);
+  expect(reads.raw).toHaveBeenLastCalledWith(
+    expect.objectContaining({ source: "cursor", offset: 0, limit: 20 }),
+  );
+
+  await user.click(screen.getByRole("combobox", { name: "来源" }));
+  await user.click(screen.getByRole("option", { name: "手动添加" }));
+  expect(
+    await screen.findAllByText("原始会话 one-memory-manual-0"),
+  ).toHaveLength(2);
+  expect(reads.raw).toHaveBeenLastCalledWith(
+    expect.objectContaining({
+      source: "one-memory-manual",
+      offset: 0,
+      limit: 20,
+    }),
+  );
+});
+
+it("selects and renders one turn when two turns share a raw storage batch", async () => {
+  setup();
+  reads.processing.mockResolvedValue(modeProcessing("lite"));
+  reads.raw.mockResolvedValue({
+    items: [
+      {
+        raw_id: "raw-batch",
+        turn_id: "raw-turn:batch:0",
+        turn_index: 0,
+        turn_count: 2,
+        content: "[user]: 第一问\n[assistant]: 第一答",
+        user_id: "local",
+        agent_id: "all-apps",
+        source: "cursor",
+        session_id: "session-batch",
+        memory_at: null,
+        gmt_created: 1_761_000_000,
+        custom: {},
+        messages: [
+          { role: "user", content: "第一问" },
+          { role: "assistant", content: "第一答" },
+        ],
+      },
+      {
+        raw_id: "raw-batch",
+        turn_id: "raw-turn:batch:1",
+        turn_index: 1,
+        turn_count: 2,
+        content: "[user]: 第二问\n[assistant]: 第二答",
+        user_id: "local",
+        agent_id: "all-apps",
+        source: "cursor",
+        session_id: "session-batch",
+        memory_at: null,
+        gmt_created: 1_761_000_000,
+        custom: {},
+        messages: [
+          { role: "user", content: "第二问" },
+          { role: "assistant", content: "第二答" },
+        ],
+      },
+    ],
+    total: 2,
+    limit: 20,
+    offset: 0,
+    unit: "turn",
+  });
+  const user = userEvent.setup();
+  render(<MemorySpace simplified />);
+
+  await user.click(await screen.findByRole("button", { name: /第二问/ }));
+
+  await waitFor(() => {
+    const detail = document.querySelector(".map-dialogue-reading");
+    expect(detail?.textContent).toContain("第二问");
+    expect(detail?.textContent).toContain("第二答");
+    expect(detail?.textContent).not.toContain("第一问");
+    expect(detail?.textContent).not.toContain("第一答");
+  });
+});
+
+it("switches data planes without keeping rows or details from the prior mode", async () => {
+  setup();
+  vi.useFakeTimers();
+  reads.processing.mockResolvedValue(modeProcessing("pro"));
+  reads.raw.mockResolvedValue({
+    items: [
+      {
+        raw_id: "raw-after-switch",
+        content: "切换后的原始会话",
+        user_id: "local",
+        agent_id: "all-apps",
+        source: "cursor",
+        session_id: "session-after-switch",
+        memory_at: null,
+        gmt_created: 1_761_000_000,
+        custom: {},
+        messages: [{ role: "user", content: "切换后的原始会话" }],
+      },
+    ],
+    total: 1,
+    limit: 20,
+    offset: 0,
+  });
+  render(<MemorySpace simplified />);
+
+  await act(async () => {
+    await Promise.resolve();
+    await Promise.resolve();
+  });
+  expect(reads.sdkLibrary).toHaveBeenCalled();
+  expect(screen.getAllByText("已保存的记忆").length).toBeGreaterThan(0);
+
+  reads.processing.mockResolvedValue(modeProcessing("lite"));
+  await act(async () => {
+    await vi.advanceTimersByTimeAsync(3_000);
+  });
+  await vi.waitFor(() => expect(reads.raw).toHaveBeenCalled(), {
+    timeout: 1_000,
+  });
+  expect(screen.getAllByText("切换后的原始会话")).toHaveLength(2);
+  expect(screen.queryByText("已保存的记忆")).toBeNull();
+  expect(document.querySelector(".memory-mode-label")?.textContent).toBe(
+    "lite",
+  );
+
+  const libraryCalls = reads.sdkLibrary.mock.calls.length;
+  reads.processing.mockResolvedValue(modeProcessing("ultra"));
+  await act(async () => {
+    await vi.advanceTimersByTimeAsync(3_000);
+  });
+  await vi.waitFor(
+    () =>
+      expect(reads.sdkLibrary.mock.calls.length).toBeGreaterThan(libraryCalls),
+    { timeout: 1_000 },
+  );
+  expect(screen.getAllByText("已保存的记忆").length).toBeGreaterThan(0);
+  expect(screen.queryByText("切换后的原始会话")).toBeNull();
+  expect(document.querySelector(".memory-mode-label")?.textContent).toBe(
+    "ultra",
+  );
+});
+
+it("opens a search hit with the complete role transcript", async () => {
+  setup();
+  reads.processing.mockResolvedValue({
+    running: 0,
+    pending: 0,
+    blocked_stages: [],
+    completed: 1,
+    pipeline: {
+      mode: "lite",
+      configured_mode: "lite",
+      forced_by_env: false,
+      evolve: {
+        mode: "lite",
+        schedule: { enabled: true, time: "03:00" },
+        users: {},
+        running: [],
+      },
+      last_evolve_at: null,
+      graph_build: {
+        state: "idle",
+        started_at: null,
+        finished_at: null,
+        users: {},
+      },
+      features: {},
+    },
+  });
+  reads.raw.mockImplementation(async (options = {}) =>
+    "sessionId" in options && options.sessionId
+      ? {
+          items: [
+            {
+              raw_id: "raw-search",
+              turn_id: "raw-turn:search:0",
+              turn_index: 0,
+              turn_count: 2,
+              content: "[user]: 第一轮问题\n[assistant]: 第一轮回答",
+              user_id: "local",
+              agent_id: "all-apps",
+              source: "cursor",
+              session_id: "session-search",
+              memory_at: null,
+              gmt_created: 1_761_000_000,
+              custom: {},
+              messages: [
+                { role: "user", content: "第一轮问题" },
+                { role: "assistant", content: "第一轮回答" },
+              ],
+            },
+            {
+              raw_id: "raw-search",
+              turn_id: "raw-turn:search:1",
+              turn_index: 1,
+              turn_count: 2,
+              content: "[user]: 完整问题\n[assistant]: 完整回答",
+              user_id: "local",
+              agent_id: "all-apps",
+              source: "cursor",
+              session_id: "session-search",
+              memory_at: null,
+              gmt_created: 1_761_000_000,
+              custom: {},
+              messages: [
+                { role: "user", content: "完整问题" },
+                { role: "assistant", content: "完整回答" },
+              ],
+            },
+          ],
+          total: 2,
+          limit: 500,
+          offset: 0,
+        }
+      : { items: [], total: 0, limit: 20, offset: 0 },
+  );
+  reads.rawSearch.mockResolvedValue([
+    {
+      kind: "raw",
+      raw_id: "raw-search",
+      turn_id: "raw-turn:search:1",
+      turn_index: 1,
+      turn_count: 2,
+      content: "被截断的搜索摘要",
+      source: "cursor",
+      session_id: "session-search",
+      memory_at: null,
+      score: 0.9,
+      truncated: true,
+    },
+  ]);
+  const user = userEvent.setup();
+  render(<MemorySpace simplified />);
+
+  const search = await screen.findByRole("textbox", {
+    name: "搜索原始对话",
+  });
+  await user.type(search, "完整");
+  await user.click(screen.getByRole("button", { name: "搜索" }));
+
+  expect(await screen.findByText("完整问题")).toBeTruthy();
+  expect(screen.getByText("完整回答")).toBeTruthy();
+  expect(
+    document.querySelector(".map-dialogue-reading")?.textContent,
+  ).not.toContain("第一轮问题");
+  expect(reads.raw).toHaveBeenCalledWith(
+    expect.objectContaining({
+      source: "cursor",
+      sessionId: "session-search",
+      limit: 500,
+    }),
+  );
+});
+
+it("does not request advanced memories before the pipeline mode is known", async () => {
+  setup();
+  let resolveProcessing!: (value: unknown) => void;
+  reads.processing.mockReturnValueOnce(
+    new Promise((resolve) => {
+      resolveProcessing = resolve;
+    }),
+  );
+  render(<MemorySpace simplified />);
+
+  await act(async () => Promise.resolve());
+  expect(reads.sdkLibrary).not.toHaveBeenCalled();
+  expect(reads.sdkGraph).not.toHaveBeenCalled();
+
+  await act(async () => {
+    resolveProcessing({
+      running: 0,
+      pending: 0,
+      blocked_stages: [],
+      completed: 0,
+      pipeline: {
+        mode: "lite",
+        configured_mode: "lite",
+        forced_by_env: false,
+        evolve: {
+          mode: "lite",
+          schedule: { enabled: true, time: "03:00" },
+          users: {},
+          running: [],
+        },
+        last_evolve_at: null,
+        graph_build: {
+          state: "idle",
+          started_at: null,
+          finished_at: null,
+          users: {},
+        },
+        features: {},
+      },
+    });
+  });
+  await waitFor(() =>
+    expect(document.querySelector(".memory-mode-label")?.textContent).toBe(
+      "lite",
+    ),
+  );
+  expect(reads.sdkLibrary).not.toHaveBeenCalled();
+  expect(reads.sdkGraph).not.toHaveBeenCalled();
+});
+
 it("keeps an added memory visible while it waits for model processing", async () => {
   setup();
   render(<MemorySpace simplified onConfigureModel={vi.fn()} />);

memhub/apps/web/src/MemorySpace.sdk-authority.test.tsx

@@ -389,7 +389,7 @@ it("hides the previous source graph until the all-applications graph settles", a
     expect(screen.getByTestId("map-graph-loading").textContent).toBe("true"),
   );
   expect(screen.getByTestId("map-nodes").textContent).toBe("none");
-  // Waiting for the graph is not page staleness: the list stays usable.
+  expect(screen.getByTestId("map-memories").textContent).toBe("");
   expect(screen.getByTestId("map-stale").textContent).toBe("false");
 
   await act(async () => {
@@ -419,6 +419,7 @@ it("hides the previous source graph until the all-applications graph settles", a
     expect(screen.getByTestId("map-graph-loading").textContent).toBe("true"),
   );
   expect(screen.getByTestId("map-nodes").textContent).toBe("none");
+  expect(screen.getByTestId("map-memories").textContent).toBe("");
   expect(api.sdkGraph).toHaveBeenCalledTimes(graphCalls);
 
   await act(async () => releaseSearch(searchPage));

memhub/apps/web/src/MemorySpace.tsx

@@ -1,6 +1,7 @@
 import type {
   ExtractionWindowPreset,
   GovernedMemory,
+  HomeProjectionCapabilities,
   HostAskMemoryResponse,
   ImportJob,
   MemoryDetail,
@@ -36,7 +37,9 @@ import {
   getSdkMemory,
   getSdkMemoryGraph,
   getSdkMemoryLibrary,
+  getSdkRaw,
   manualExtract,
+  searchSdkRaw,
   setExtractionWindow,
   updateSdkMemory,
 } from "./api";
@@ -54,6 +57,13 @@ import {
   sdkLibraryPage,
   sdkNamespace,
 } from "./sdk-memory-map";
+import {
+  type RawMapRecord,
+  rawDetail,
+  rawLibraryPage,
+  rawRecordId,
+  rawSearchPage,
+} from "./sdk-raw-map";
 import { sourceNameOr, UNATTRIBUTED_SOURCE_ID } from "./source-label";
 import { traceUiAction } from "./ui-trace";
 import { isDefiniteRefusal, writeTraceStatus } from "./write-outcome";
@@ -109,6 +119,10 @@ export function MemorySpace({
     return isMessageKey(key) ? t(key) : text;
   };
   const [detail, setDetail] = useState<MemoryDetail | null>(null);
+  const [selectedRaw, setSelectedRaw] = useState<RawMapRecord | null>(null);
+  const selectedRawRef = useRef<RawMapRecord | null>(null);
+  selectedRawRef.current = selectedRaw;
+  const rawRecords = useRef(new Map<string, RawMapRecord>());
   const [detailLoad, setDetailLoad] = useState<{
     memoryId: string;
     status: "loading" | "failed";
@@ -183,17 +197,44 @@ export function MemorySpace({
     /** The filter the shown page was read with, for the count above it. */
     settledSource: string;
     settledQuery: string;
+    settledMode: "lite" | "pro" | "ultra" | null;
   }>({
     page: null,
     loading: false,
     failed: false,
     settledSource: "",
     settledQuery: "",
+    settledMode: null,
   });
   const [sdkLibraryQuery, setSdkLibraryQuery] = useState("");
   const [sdkLibrarySource, setSdkLibrarySource] = useState("");
   const [sdkLibraryOffset, setSdkLibraryOffset] = useState(0);
+  const [processing, setProcessing] = useState<MemoryProcessingSummary | null>(
+    null,
+  );
+  const [processingFailed, setProcessingFailed] = useState(false);
+  const [processingResolved, setProcessingResolved] = useState(false);
+  const pipelineMode =
+    processing?.pipeline?.mode ??
+    (processingResolved && !processingFailed ? "pro" : null);
+  const lite = pipelineMode === "lite";
+  const modeCapabilities: HomeProjectionCapabilities | null = pipelineMode
+    ? {
+        content_plane: lite ? "raw" : "memory",
+        generation_required: !lite,
+        graph_enabled: pipelineMode === "ultra",
+        evolve_available: pipelineMode === "ultra",
+      }
+    : null;
+  const requestedQuery = sdkLibraryQuery.trim();
+  const sdkPageSettled =
+    sdkLibrary.settledMode === pipelineMode &&
+    sdkLibrary.settledSource === sdkLibrarySource &&
+    sdkLibrary.settledQuery.trim() === requestedQuery &&
+    sdkLibrary.page?.offset === sdkLibraryOffset;
+  const sdkPage = sdkPageSettled ? sdkLibrary.page : null;
   const sdkRequestedScope = JSON.stringify([
+    pipelineMode,
     sdkLibraryQuery.trim(),
     sdkLibrarySource,
   ]);
@@ -213,8 +254,9 @@ export function MemorySpace({
   });
   // The page the list shows, for the namespace of a memory being opened.
   const sdkPageRef = useRef<MemoryLibraryPage | null>(null);
-  sdkPageRef.current = sdkLibrary.page;
-  const sdkMapVisible = simplified && active && displayedMode === "map";
+  sdkPageRef.current = sdkPage;
+  const sdkMapVisible =
+    simplified && active && displayedMode === "map" && pipelineMode !== null;
   useEffect(() => {
     if (!sdkMapVisible) return;
     // A write bumps the revision; reading it here re-runs the read at once
@@ -224,7 +266,7 @@ export function MemorySpace({
     let controller: AbortController | null = null;
     const source = sdkLibrarySource || undefined;
     const query = sdkLibraryQuery.trim() || undefined;
-    const windowKey = JSON.stringify([query ?? "", source ?? ""]);
+    const windowKey = JSON.stringify([pipelineMode, query ?? "", source ?? ""]);
     if (sdkSearchWindow.current.key !== windowKey)
       sdkSearchWindow.current = { key: windowKey, id: null };
     const read = async (first: boolean) => {
@@ -233,42 +275,71 @@ export function MemorySpace({
       controller = request;
       if (first) setSdkLibrary((current) => ({ ...current, loading: true }));
       try {
-        const [page, graph] = await Promise.all([
-          getSdkMemoryLibrary(
-            {
-              statuses: ["active"],
-              source,
-              query,
-              offset: sdkLibraryOffset,
-              limit: SDK_MEMORY_PAGE_SIZE,
-              windowId: query ? sdkSearchWindow.current.id : null,
-            },
-            request.signal,
-          ),
-          // The overlay is decoration: the list stands without it. It reads
-          // the full active/source-filtered scene up to the API's visual cap.
-          // Reading only the first list-page prefix made "All applications"
-          // look identical to Cursor whenever newer Cursor memories occupied
-          // that prefix.
-          query
-            ? Promise.resolve({
+        const rememberRaw = (items: RawMapRecord[]) => {
+          const next = new Map<string, RawMapRecord>();
+          if (selectedRawRef.current)
+            next.set(
+              rawRecordId(selectedRawRef.current),
+              selectedRawRef.current,
+            );
+          for (const item of items) next.set(rawRecordId(item), item);
+          rawRecords.current = next;
+        };
+        const [page, graph] = lite
+          ? await Promise.all([
+              query
+                ? searchSdkRaw(query, {
+                    source,
+                    signal: request.signal,
+                  }).then((items) => {
+                    rememberRaw(items);
+                    return rawSearchPage(items);
+                  })
+                : getSdkRaw({
+                    source,
+                    offset: sdkLibraryOffset,
+                    limit: SDK_MEMORY_PAGE_SIZE,
+                    signal: request.signal,
+                  }).then((rawPage) => {
+                    rememberRaw(rawPage.items);
+                    return rawLibraryPage(rawPage);
+                  }),
+              Promise.resolve({
                 status: "ready" as const,
                 value: null,
-              })
-            : getSdkMemoryGraph(
+              }),
+            ])
+          : await Promise.all([
+              getSdkMemoryLibrary(
                 {
+                  statuses: ["active"],
                   source,
-                  offset: 0,
-                  limit: 300,
+                  query,
+                  offset: sdkLibraryOffset,
+                  limit: SDK_MEMORY_PAGE_SIZE,
+                  windowId: query ? sdkSearchWindow.current.id : null,
                 },
                 request.signal,
-              ).then(
-                (value) => ({ status: "ready" as const, value }),
-                () => ({ status: "failed" as const, value: null }),
-              ),
-        ]);
+              ).then(sdkLibraryPage),
+              query
+                ? Promise.resolve({
+                    status: "ready" as const,
+                    value: null,
+                  })
+                : getSdkMemoryGraph(
+                    {
+                      source,
+                      offset: 0,
+                      limit: 300,
+                    },
+                    request.signal,
+                  ).then(
+                    (value) => ({ status: "ready" as const, value }),
+                    () => ({ status: "failed" as const, value: null }),
+                  ),
+            ]);
         if (cancelled) return;
-        if (sdkSearchWindow.current.key === windowKey)
+        if (!lite && sdkSearchWindow.current.key === windowKey)
           sdkSearchWindow.current = {
             key: windowKey,
             id: page.window_id ?? null,
@@ -276,11 +347,12 @@ export function MemorySpace({
         // The window expired: the server searched again and answered page 1.
         if (page.window_reset && sdkLibraryOffset !== 0) setSdkLibraryOffset(0);
         setSdkLibrary({
-          page: sdkLibraryPage(page),
+          page,
           loading: false,
           failed: false,
           settledSource: sdkLibrarySource,
           settledQuery: sdkLibraryQuery,
+          settledMode: pipelineMode,
         });
         setSdkGraph({ scope: windowKey, ...graph });
       } catch {
@@ -305,6 +377,8 @@ export function MemorySpace({
     sdkLibraryOffset,
     sdkLibraryQuery,
     sdkLibrarySource,
+    lite,
+    pipelineMode,
   ]);
   const sdkFilterLabel = [
     sdkLibrary.settledSource
@@ -337,9 +411,6 @@ export function MemorySpace({
   }
   const [busy, setBusy] = useState(false);
   const [error, setError] = useState<string | null>(null);
-  const [processing, setProcessing] = useState<MemoryProcessingSummary | null>(
-    null,
-  );
   const [pendingAdd, setPendingAdd] = useState<PendingMemoryAdd | null>(null);
   const [checkingSetup, setCheckingSetup] = useState(false);
   // biome-ignore lint/correctness/useExhaustiveDependencies: Source authority changes invalidate an in-flight setup snapshot.
@@ -394,6 +465,7 @@ export function MemorySpace({
     ),
     refreshing: checkingSetup,
     memoryCount: undefined,
+    capabilities: modeCapabilities,
     blockedStages: processing?.blocked_stages,
     backlogPending: processing?.backlog_pending,
     phase: sourceSnapshotStale ? "unavailable" : "checking",
@@ -408,7 +480,11 @@ export function MemorySpace({
     const update = async () => {
       try {
         const next = await getMemoryProcessing();
-        if (!stopped) setProcessing(next);
+        if (!stopped) {
+          setProcessing(next);
+          setProcessingFailed(false);
+          setProcessingResolved(true);
+        }
       } catch {
         // Background read failures do not invalidate the last verified state.
       }
@@ -438,8 +514,29 @@ export function MemorySpace({
   const closeDetail = useCallback(() => {
     detailEpoch.current++;
     setDetail(null);
+    setSelectedRaw(null);
     setDetailLoad(null);
   }, []);
+  const previousPipelineMode = useRef(pipelineMode);
+  useEffect(() => {
+    if (pipelineMode === null || previousPipelineMode.current === pipelineMode)
+      return;
+    previousPipelineMode.current = pipelineMode;
+    rawRecords.current.clear();
+    sdkSearchWindow.current = { key: "", id: null };
+    setSdkLibraryOffset(0);
+    setSdkLibraryQuery("");
+    setSdkGraph(null);
+    setSdkLibrary((current) => ({
+      ...current,
+      page: null,
+      loading: true,
+      failed: false,
+      settledQuery: "",
+      settledMode: null,
+    }));
+    closeDetail();
+  }, [pipelineMode, closeDetail]);
 
   const previousSourceKey = useRef(sourceKey);
   useEffect(() => {
@@ -460,14 +557,23 @@ export function MemorySpace({
      * this subscriber and the background arrival poll read the same endpoint,
      * so one `fetch` per tick is the whole point of sharing the key. */
     const consumeProcessing = (value: unknown) => {
-      if (!cancelled) setProcessing(value as MemoryProcessingSummary);
+      if (!cancelled) {
+        setProcessing(value as MemoryProcessingSummary);
+        setProcessingFailed(false);
+        setProcessingResolved(true);
+      }
     };
     // `subscribePoll` only schedules ticks; the first read still has to happen
     // on mount. Do it once through the shared fetch so mount does not double-read
     // with the background arrival subscriber.
     void getMemoryProcessing()
       .then(consumeProcessing)
-      .catch(() => {});
+      .catch(() => {
+        if (!cancelled) {
+          setProcessingFailed(true);
+          setProcessingResolved(true);
+        }
+      });
     // The processing poll shares one read with the background arrival poll on
     // the same key (3s wins over 12s).
     const stopProcessing = subscribePoll({
@@ -593,6 +699,56 @@ export function MemorySpace({
     const epoch = ++detailEpoch.current;
     setError(null);
     setDetail(null);
+    setSelectedRaw(null);
+    if (lite) {
+      let record = rawRecords.current.get(memoryId);
+      if (!record) {
+        setDetailLoad({
+          memoryId,
+          status: "failed",
+          error: t("sdk.raw.loadFailed"),
+        });
+        return;
+      }
+      if ("kind" in record) {
+        setDetailLoad({ memoryId, status: "loading" });
+        try {
+          let offset = 0;
+          while (true) {
+            const page = await getSdkRaw({
+              source: record.source || undefined,
+              sessionId: record.session_id || undefined,
+              offset,
+              limit: 500,
+            });
+            const full = page.items.find(
+              (item) => rawRecordId(item) === memoryId,
+            );
+            if (full) {
+              record = full;
+              rawRecords.current.set(memoryId, full);
+              break;
+            }
+            offset += page.items.length;
+            if (!page.items.length || offset >= page.total)
+              throw new Error("raw_not_found");
+          }
+        } catch {
+          if (epoch === detailEpoch.current)
+            setDetailLoad({
+              memoryId,
+              status: "failed",
+              error: t("sdk.raw.loadFailed"),
+            });
+          return;
+        }
+        if (epoch !== detailEpoch.current) return;
+      }
+      setSelectedRaw(record);
+      setDetail(rawDetail(record));
+      setDetailLoad(null);
+      return;
+    }
     setDetailLoad({ memoryId, status: "loading" });
     try {
       // The inspector reads the memory through v2 and renders it in place.
@@ -728,37 +884,56 @@ export function MemorySpace({
       </div>
       <header className="memory-instrument-header">
         <div>
-          <h1 id="memory-title">
-            {simplified ? t("memory:记忆") : t("memory:记忆空间")}
-          </h1>
+          <div className="memory-title-line">
+            <h1 id="memory-title">
+              {simplified ? t("memory:记忆") : t("memory:记忆空间")}
+            </h1>
+            {simplified && pipelineMode ? (
+              <span className="memory-mode-label">{pipelineMode}</span>
+            ) : null}
+          </div>
           <span className="memory-loaded-count">
             {simplified && !management
-              ? sdkLibrary.page
-                ? tn(
-                    "memory:已沉淀 {count} 条{filter} · 当前展示 {shown} 条",
-                    sdkLibrary.page.total,
-                    {
-                      filter: sdkFilterLabel
-                        ? t("memory:（{filter}）", { filter: sdkFilterLabel })
-                        : "",
-                      shown: new Intl.NumberFormat(locale).format(
-                        sdkLibrary.page.items.length,
-                      ),
-                    },
-                  )
-                : // The list below says a failed read once, with its retry.
-                  sdkLibrary.failed
-                  ? null
-                  : t("memory:正在读取…")
+              ? pipelineMode === null
+                ? t("memory:记忆暂时无法读取")
+                : lite
+                  ? sdkPage
+                    ? `${t("memory:原始对话")} · ${tn(
+                        "sdk.raw.found",
+                        sdkPage.total,
+                      )}`
+                    : sdkLibrary.failed
+                      ? null
+                      : t("memory:正在读取…")
+                  : sdkPage
+                    ? tn(
+                        "memory:已沉淀 {count} 条{filter} · 当前展示 {shown} 条",
+                        sdkPage.total,
+                        {
+                          filter: sdkFilterLabel
+                            ? t("memory:（{filter}）", {
+                                filter: sdkFilterLabel,
+                              })
+                            : "",
+                          shown: new Intl.NumberFormat(locale).format(
+                            sdkPage.items.length,
+                          ),
+                        },
+                      )
+                    : // The list below says a failed read once, with its retry.
+                      sdkLibrary.failed
+                      ? null
+                      : t("memory:正在读取…")
               : null}
           </span>
         </div>
         <MemoryAddComposer
           suspended={!active}
+          rawOnly={lite}
           onPendingChange={setPendingAdd}
           onSaved={() => {
-            // A finished addition is a new memory: re-read the page now rather
-            // than leave it for the next poll.
+            // A finished addition is new page content: re-read now rather than
+            // leave it for the next poll.
             bumpSdkMap();
           }}
           onOpenMemory={(id) => {
@@ -920,22 +1095,33 @@ export function MemorySpace({
         </details>
       ) : null}
 
-      <ModelBackoffBanner
-        processing={processing}
-        onConfigureModel={onConfigureModel}
-      />
-      <ModelPrompt
-        processing={processing}
-        hasMemories={(sdkLibrary.page?.total ?? 0) > 0}
-        onConfigureModel={onConfigureModel}
-      />
+      {!lite ? (
+        <>
+          <ModelBackoffBanner
+            processing={processing}
+            onConfigureModel={onConfigureModel}
+          />
+          <ModelPrompt
+            processing={processing}
+            hasMemories={(sdkPage?.total ?? 0) > 0}
+            onConfigureModel={onConfigureModel}
+          />
+        </>
+      ) : null}
       {simplified && pendingAdd ? (
         <p className="memory-pending-add" role="status">
           <span>
-            {t("memory:正在等待整理：")}
+            {lite
+              ? t(
+                  pendingAdd.state === "failed"
+                    ? "memory:原话已保存，整理未完成"
+                    : "memory:正在保存…",
+                )
+              : t("memory:正在等待整理：")}
+            {lite ? " " : null}
             {pendingAdd.text}
           </span>
-          {pendingAdd.state === "waiting_for_model" ? (
+          {!lite && pendingAdd.state === "waiting_for_model" ? (
             <button type="button" onClick={onConfigureModel}>
               {t("memory:配置整理模型")}
             </button>
@@ -954,7 +1140,7 @@ export function MemorySpace({
           id="memory-mode-panel-history"
           hidden={displayedMode !== "history"}
         >
-          <SdkRawHistory />
+          <SdkRawHistory active={active && displayedMode === "history"} />
         </div>
       )}
 
@@ -995,14 +1181,18 @@ export function MemorySpace({
 
       {/* Native hiding retains the WebGL owner; its visibility observer pauses drawing. */}
       <MemoryMap
+        key={simplified ? (pipelineMode ?? "unknown") : "full"}
         id="memory-mode-panel-map"
         simplified={simplified}
+        contentKind={lite ? "raw" : "memory"}
+        modeCapabilities={modeCapabilities}
+        rawRecord={selectedRaw}
         libraryView={
           simplified
             ? {
                 query: sdkLibraryQuery,
                 source: sdkLibrarySource,
-                page: sdkLibrary.page,
+                page: sdkPage,
                 loading: sdkLibrary.loading,
                 failed: sdkLibrary.failed,
                 graphLoading: !sdkGraphSettled,
@@ -1020,14 +1210,18 @@ export function MemorySpace({
               }
             : undefined
         }
-        hidden={!active || displayedMode !== "map"}
-        memories={sdkLibrary.page?.items ?? []}
+        hidden={
+          !active ||
+          displayedMode !== "map" ||
+          (simplified && pipelineMode === null)
+        }
+        memories={sdkPage?.items ?? []}
         graph={visibleSdkGraph}
         sources={sources}
         processing={processing}
         arrival={memoryArrival}
         onViewHistory={simplified ? onConnect : () => setMode("history")}
-        loaded={sdkLibrary.page !== null}
+        loaded={sdkPage !== null}
         detail={detail}
         detailLoad={detailLoad}
         overlayBlocked={
@@ -1035,7 +1229,7 @@ export function MemorySpace({
           deleteCount > 0 ||
           // Only the paged map waits for its page; the three-column surface
           // never reads one.
-          (simplified && sdkLibrary.page === null)
+          (simplified && sdkPage === null)
         }
         draft={draft}
         busy={busy}
@@ -1128,10 +1322,12 @@ export function MemorySpace({
         className="memory-library-layout"
         hidden={displayedMode !== "library"}
       >
-        <SdkMemoryLibrary
-          active={active}
-          focusedMemoryId={sdkFocusedMemoryId}
-        />
+        {!simplified || (pipelineMode !== null && !lite) ? (
+          <SdkMemoryLibrary
+            active={active}
+            focusedMemoryId={sdkFocusedMemoryId}
+          />
+        ) : null}
       </div>
     </section>
   );
@@ -1350,7 +1546,7 @@ function message(reason: unknown, t: Translate): string {
     reason.message === "memory_answer_context_changed"
       ? reason.message
       : apiErrorCode(reason);
-  const labels: Record<string, Parameters<Translate>[0]> = {
+  const labels: Record<string, string> = {
     memory_answer_context_changed:
       "memory:记忆内容或使用权限已变化，回答已停止。请重新提问。",
     memory_source_revoked: "memory:这条记忆的来源授权已撤回，暂时不能读取。",
@@ -1363,8 +1559,14 @@ function message(reason: unknown, t: Translate): string {
     memory_request_conflict: "memory:这次操作与已完成的请求不一致。",
     request_validation_failed: "memory:输入内容不符合要求。",
     local_store_unavailable: "memory:本地记忆库正忙，请稍后重试。",
+    embedding_unavailable:
+      "memory:搜索服务暂时不可用，无法检索记忆。请到设置中检查记忆搜索配置。",
+    embedding_switch_in_progress:
+      "memory:正在更新记忆索引，完成后才能修改或删除记忆。搜索仍可使用。",
+    embedding_space_profile_missing:
+      "memory:当前搜索模型配置已不存在，请到设置中重新配置记忆搜索。",
   };
-  if (code && labels[code]) return t(labels[code]);
+  if (code && labels[code]) return t(labels[code] as Parameters<Translate>[0]);
   // No code at all means the request never reached the core — usually because
   // it is still starting. Saying only "failed" left the one case that resolves
   // itself looking like the ones that do not.

memhub/apps/web/src/ModelSettings.test.tsx

@@ -1,6 +1,12 @@
 // @vitest-environment jsdom
 
-import type { ModelProbeResult, ModelProfile } from "@one-memory/contracts";
+import type {
+  EmbeddingSwitchCurrent,
+  EmbeddingSwitchJob,
+  EmbeddingSwitchPlan,
+  ModelProbeResult,
+  ModelProfile,
+} from "@one-memory/contracts";
 import {
   act,
   cleanup,
@@ -66,6 +72,11 @@ const probeProfile = vi.fn();
 const activate = vi.fn();
 const remove = vi.fn();
 const update = vi.fn();
+const refreshProfiles = vi.fn();
+const planActivation = vi.fn();
+const startPlannedSwitch = vi.fn();
+let switchPlan: EmbeddingSwitchPlan | null = null;
+let switchCurrent: EmbeddingSwitchCurrent | null = null;
 
 it("explains an insufficient model balance with the required recovery", () => {
   expect(probeLabel("insufficient_balance")).toBe(
@@ -114,6 +125,71 @@ const preset: ModelProfile = {
   has_api_key: false,
   disable_thinking: true,
 };
+const migrationPlan: EmbeddingSwitchPlan = {
+  needed: true,
+  reason: "embedding_identity_changed",
+  plan_token: "plan-token",
+  source: {
+    space_id: "old-space",
+    model: "old-search",
+    dims: 512,
+    collection_base: "memory",
+    vectors: 12,
+  },
+  target: {
+    space_id: null,
+    model: "new-search",
+    dims: 1024,
+    collection_base: "",
+    vectors: null,
+  },
+  target_profile_id: profile.profile_id,
+  target_revision: profile.revision,
+  target_provider_kind: "openai_compatible",
+  target_local: false,
+  sources: [],
+  total_vectors: 12,
+  users: 1,
+  graph_vectors: null,
+  estimate_s: 10,
+  requests: 1,
+  disk_bytes_needed: 1024,
+  disk_bytes_free: 4096,
+  retention_days: 14,
+  blockers: [],
+};
+const oldFinishedJob: EmbeddingSwitchJob = {
+  job_id: "old-job",
+  kind: "switch",
+  state: "done",
+  source: migrationPlan.source,
+  target: { ...migrationPlan.target, space_id: "new-space", vectors: 12 },
+  stray_space_ids: [],
+  target_profile_id: profile.profile_id,
+  target_revision: profile.revision,
+  requested_by: "app",
+  progress: {
+    phase: "done",
+    done: 12,
+    total: 12,
+    percent: 100,
+    embedded: 12,
+    reused: 0,
+    kept: 0,
+    role: null,
+    source_index: 0,
+    sources: 1,
+    rate_per_s: null,
+    eta_s: 0,
+    updated_at: "2026-11-03T09:00:00Z",
+  },
+  cancel_requested: false,
+  error_code: null,
+  attempt: 1,
+  created_at: "2026-11-03T09:00:00Z",
+  updated_at: "2026-11-03T09:00:01Z",
+  finished_at: "2026-11-03T09:00:01Z",
+};
 
 /** Re-renders on demand so a cleared journal is picked up, like a real refresh. */
 function ProbeRecoveryHarness({
@@ -149,6 +225,20 @@ vi.mock("./use-model-profiles", () => ({
     activate,
     remove,
     update,
+    refreshProfiles,
+  }),
+}));
+vi.mock("./use-embedding-switch", () => ({
+  useEmbeddingSwitch: () => ({
+    current: switchCurrent,
+    plan: switchPlan,
+    busy: null,
+    errorCode: null,
+    planActivation,
+    startPlannedSwitch,
+    shouldUseLegacyActivation: () => false,
+    clearPlan: vi.fn(),
+    clearError: vi.fn(),
   }),
 }));
 
@@ -187,8 +277,15 @@ describe("ModelSettings", () => {
     probes = {};
     pendingProbe = null;
     profiles = [profile];
+    switchPlan = null;
+    switchCurrent = null;
     create.mockResolvedValue(profile);
     update.mockResolvedValue({ ...preset, has_api_key: true, revision: 2 });
+    refreshProfiles.mockResolvedValue(undefined);
+    planActivation.mockResolvedValue({
+      needed: false,
+      reason: "same_embedding",
+    });
   });
 
   it("submits a generation-only profile and leaves embedding to the builtin", async () => {
@@ -399,6 +496,62 @@ describe("ModelSettings", () => {
     });
   });
 
+  it("focuses generation without exposing or patching the search lane", async () => {
+    update.mockResolvedValue(profile);
+    render(<ModelSettings focusSection="generation" />);
+
+    await userEvent.click(screen.getByRole("button", { name: "编辑配置" }));
+    expect(screen.getByRole("heading", { name: "记忆整理" })).toBeTruthy();
+    expect(screen.queryByLabelText("搜索模型")).toBeNull();
+    expect(screen.getByLabelText("生成模型名")).toHaveProperty(
+      "value",
+      profile.model,
+    );
+
+    await userEvent.click(screen.getByRole("button", { name: "保存修改" }));
+    expect(update).toHaveBeenCalledExactlyOnceWith(profile.profile_id, {
+      expected_revision: profile.revision,
+    });
+  });
+
+  it("does not repair a hidden legacy search endpoint while editing generation", async () => {
+    const legacy = {
+      ...profile,
+      embedding_provider_kind: "openai_compatible" as const,
+      embedding_model: "remote-search",
+      embedding_base_url: null,
+    };
+    profiles = [legacy];
+    update.mockResolvedValue(legacy);
+    render(<ModelSettings focusSection="generation" />);
+
+    await userEvent.click(screen.getByRole("button", { name: "编辑配置" }));
+    await userEvent.type(screen.getByLabelText("生成模型名"), "-new");
+    await userEvent.click(screen.getByRole("button", { name: "保存修改" }));
+
+    expect(update).toHaveBeenCalledExactlyOnceWith(profile.profile_id, {
+      expected_revision: profile.revision,
+      model: "memory-model-new",
+    });
+  });
+
+  it("focuses search on the recommended builtin without exposing or patching generation", async () => {
+    update.mockResolvedValue(profile);
+    render(<ModelSettings focusSection="embedding" />);
+
+    await userEvent.click(screen.getByRole("button", { name: "编辑配置" }));
+    expect(screen.getByRole("heading", { name: "记忆搜索" })).toBeTruthy();
+    expect(screen.queryByLabelText("生成模型名")).toBeNull();
+    expect(screen.getByLabelText("搜索模型")).toHaveProperty("value", "local");
+    expect(screen.getByText(/无需密钥/)).toBeTruthy();
+    expect(screen.getByText("技术类型：Embedding")).toBeTruthy();
+
+    await userEvent.click(screen.getByRole("button", { name: "保存修改" }));
+    expect(update).toHaveBeenCalledExactlyOnceWith(profile.profile_id, {
+      expected_revision: profile.revision,
+    });
+  });
+
   it("does not replace an edit draft with a newer external profile revision", async () => {
     const view = render(<ModelSettings />);
     await userEvent.click(screen.getByRole("button", { name: "编辑配置" }));
@@ -426,7 +579,8 @@ describe("ModelSettings", () => {
       name: "高级：自行配置向量模型",
     });
     await user.click(disclosure);
-    await user.selectOptions(screen.getByLabelText("向量配置模式"), "custom");
+    await user.click(screen.getByLabelText("向量配置模式"));
+    await user.click(screen.getByRole("option", { name: "自定义搜索模型" }));
     await user.type(screen.getByLabelText("向量模型名"), "custom-vector");
     await user.type(
       screen.getByLabelText("向量模型 Base URL"),
@@ -516,9 +670,9 @@ describe("ModelSettings", () => {
     ];
     render(<ModelSettings />);
     await userEvent.click(screen.getByRole("button", { name: "编辑配置" }));
-    await userEvent.selectOptions(
-      screen.getByLabelText("向量配置模式"),
-      "local",
+    await userEvent.click(screen.getByLabelText("向量配置模式"));
+    await userEvent.click(
+      screen.getByRole("option", { name: "本地内置（推荐）" }),
     );
     await userEvent.click(screen.getByRole("button", { name: "保存修改" }));
     expect(update).toHaveBeenCalledWith(profile.profile_id, {
@@ -537,9 +691,9 @@ describe("ModelSettings", () => {
       name: "高级：自行配置向量模型",
     });
     await userEvent.click(disclosure);
-    await userEvent.selectOptions(
-      screen.getByLabelText("向量配置模式"),
-      "custom",
+    await userEvent.click(screen.getByLabelText("向量配置模式"));
+    await userEvent.click(
+      screen.getByRole("option", { name: "自定义搜索模型" }),
     );
     await userEvent.click(disclosure);
     await userEvent.click(screen.getByRole("button", { name: "保存配置" }));
@@ -661,9 +815,229 @@ describe("ModelSettings", () => {
 
     expect(container.textContent).not.toContain("secret-value");
     await user.click(screen.getByRole("button", { name: "设为当前模型" }));
+    expect(planActivation).toHaveBeenCalledWith("profile-1", 1);
     expect(activate).toHaveBeenCalledWith("profile-1");
   });
 
+  it("asks before activation when the search index must be rebuilt", async () => {
+    profiles = [
+      {
+        ...profile,
+        capabilities: {
+          ...profile.capabilities,
+          endpoint_reachable: true,
+          model_available: true,
+          embedding_available: true,
+        },
+      },
+    ];
+    planActivation.mockImplementationOnce(async () => {
+      switchPlan = migrationPlan;
+      return migrationPlan;
+    });
+    switchCurrent = {
+      schema_version: 1,
+      phase: "idle",
+      writes_paused: false,
+      scan_state: "done",
+      scan_error: null,
+      job: null,
+      last_finished: oldFinishedJob,
+    };
+    render(<ModelSettings />);
+
+    await userEvent.click(screen.getByRole("button", { name: "设为当前模型" }));
+
+    expect(
+      await screen.findByRole("heading", { name: "更新记忆搜索索引？" }),
+    ).toBeTruthy();
+    expect(activate).not.toHaveBeenCalled();
+  });
+
+  it("completes an embedding change only after the switch commit activates the target", async () => {
+    const onSetupComplete = vi.fn();
+    profiles = [
+      {
+        ...profile,
+        capabilities: {
+          ...profile.capabilities,
+          endpoint_reachable: true,
+          model_available: true,
+          embedding_available: true,
+        },
+      },
+    ];
+    planActivation.mockImplementationOnce(async () => {
+      switchPlan = migrationPlan;
+      return migrationPlan;
+    });
+    const runningJob: EmbeddingSwitchJob = {
+      ...oldFinishedJob,
+      job_id: "switch-job",
+      state: "reembedding",
+      progress: { ...oldFinishedJob.progress, phase: "vectors", done: 0 },
+    };
+    startPlannedSwitch.mockResolvedValue(runningJob);
+    switchCurrent = {
+      schema_version: 1,
+      phase: "idle",
+      writes_paused: false,
+      scan_state: "done",
+      scan_error: null,
+      job: null,
+      last_finished: oldFinishedJob,
+    };
+    const view = render(<ModelSettings onSetupComplete={onSetupComplete} />);
+
+    await userEvent.click(screen.getByRole("button", { name: "设为当前模型" }));
+    await userEvent.click(
+      await screen.findByRole("button", { name: "开始更新索引" }),
+    );
+
+    await waitFor(() =>
+      expect(startPlannedSwitch).toHaveBeenCalledExactlyOnceWith(),
+    );
+    expect(onSetupComplete).not.toHaveBeenCalled();
+
+    refreshProfiles.mockImplementationOnce(async () => {
+      profiles = [{ ...profiles[0], is_active: true }];
+    });
+    switchCurrent = {
+      ...switchCurrent,
+      phase: "idle",
+      job: null,
+      last_finished: { ...runningJob, state: "done" },
+    };
+    view.rerender(<ModelSettings onSetupComplete={onSetupComplete} />);
+
+    await waitFor(() => expect(onSetupComplete).toHaveBeenCalledOnce());
+  });
+
+  it("does not complete a committed switch until the target revision is active", async () => {
+    const onSetupComplete = vi.fn();
+    profiles = [
+      {
+        ...profile,
+        capabilities: {
+          ...profile.capabilities,
+          endpoint_reachable: true,
+          model_available: true,
+          embedding_available: true,
+        },
+      },
+    ];
+    planActivation.mockImplementationOnce(async () => {
+      switchPlan = migrationPlan;
+      return migrationPlan;
+    });
+    const runningJob: EmbeddingSwitchJob = {
+      ...oldFinishedJob,
+      job_id: "switch-job",
+      state: "reembedding",
+      progress: { ...oldFinishedJob.progress, phase: "vectors", done: 0 },
+    };
+    startPlannedSwitch.mockResolvedValue(runningJob);
+    switchCurrent = {
+      schema_version: 1,
+      phase: "idle",
+      writes_paused: false,
+      scan_state: "done",
+      scan_error: null,
+      job: null,
+      last_finished: oldFinishedJob,
+    };
+    const view = render(<ModelSettings onSetupComplete={onSetupComplete} />);
+
+    await userEvent.click(screen.getByRole("button", { name: "设为当前模型" }));
+    await userEvent.click(
+      await screen.findByRole("button", { name: "开始更新索引" }),
+    );
+    await waitFor(() => expect(startPlannedSwitch).toHaveBeenCalledOnce());
+
+    switchCurrent = {
+      ...switchCurrent,
+      phase: "idle",
+      job: null,
+      last_finished: { ...runningJob, state: "done" },
+    };
+    view.rerender(<ModelSettings onSetupComplete={onSetupComplete} />);
+
+    expect(
+      await screen.findByText(
+        "配置已保存，尚未确认启用成功。请核对配置后重试。",
+      ),
+    ).toBeTruthy();
+    expect(onSetupComplete).not.toHaveBeenCalled();
+    expect(
+      (
+        screen.getByRole("button", {
+          name: "保存并测试启用",
+        }) as HTMLButtonElement
+      ).disabled,
+    ).toBe(false);
+  });
+
+  it("keeps embedding configuration open when the switch rolls back", async () => {
+    const onSetupComplete = vi.fn();
+    profiles = [
+      {
+        ...profile,
+        capabilities: {
+          ...profile.capabilities,
+          endpoint_reachable: true,
+          model_available: true,
+          embedding_available: true,
+        },
+      },
+    ];
+    planActivation.mockImplementationOnce(async () => {
+      switchPlan = migrationPlan;
+      return migrationPlan;
+    });
+    const runningJob: EmbeddingSwitchJob = {
+      ...oldFinishedJob,
+      job_id: "switch-job",
+      state: "reembedding",
+      progress: { ...oldFinishedJob.progress, phase: "vectors", done: 0 },
+    };
+    startPlannedSwitch.mockResolvedValue(runningJob);
+    switchCurrent = {
+      schema_version: 1,
+      phase: "idle",
+      writes_paused: false,
+      scan_state: "done",
+      scan_error: null,
+      job: null,
+      last_finished: oldFinishedJob,
+    };
+    const view = render(<ModelSettings onSetupComplete={onSetupComplete} />);
+
+    await userEvent.click(screen.getByRole("button", { name: "设为当前模型" }));
+    await userEvent.click(
+      await screen.findByRole("button", { name: "开始更新索引" }),
+    );
+    await waitFor(() => expect(startPlannedSwitch).toHaveBeenCalledOnce());
+
+    switchCurrent = {
+      ...switchCurrent,
+      phase: "idle",
+      job: null,
+      last_finished: {
+        ...runningJob,
+        state: "rolled_back",
+        error_code: "embedding_switch_failed",
+      },
+    };
+    view.rerender(<ModelSettings onSetupComplete={onSetupComplete} />);
+
+    expect(
+      await screen.findByText(
+        "索引更新没有完成，仍在使用原来的搜索模型，记忆没有丢失。",
+      ),
+    ).toBeTruthy();
+    expect(onSetupComplete).not.toHaveBeenCalled();
+  });
+
   it("hands a successful save to its card, clears only the key, and never tests or activates", async () => {
     profiles = [];
     const user = userEvent.setup();
@@ -714,6 +1088,51 @@ describe("ModelSettings", () => {
     );
   });
 
+  it("keeps required generation fields mounted when technical details collapse", async () => {
+    render(<ModelSettings />);
+    await userEvent.click(
+      screen.getByRole("button", { name: "配置详情与高级设置" }),
+    );
+    const modelField =
+      document.querySelector<HTMLInputElement>('[name="model"]');
+    const baseUrlField =
+      document.querySelector<HTMLInputElement>('[name="base_url"]');
+    expect(modelField).toBeTruthy();
+    expect(baseUrlField).toBeTruthy();
+    expect(modelField?.closest("[hidden]")).toBeTruthy();
+    expect(baseUrlField?.closest("[hidden]")).toBeTruthy();
+  });
+
+  it("reopens collapsed generation details and focuses the first invalid field", async () => {
+    render(<ModelSettings />);
+    await userEvent.click(
+      screen.getByRole("button", { name: "配置详情与高级设置" }),
+    );
+    await userEvent.click(screen.getByRole("button", { name: "保存配置" }));
+    const modelField = await screen.findByLabelText("生成模型名");
+    expect(
+      screen
+        .getByRole("button", { name: "配置详情与高级设置" })
+        .getAttribute("aria-expanded"),
+    ).toBe("true");
+    await waitFor(() => expect(document.activeElement).toBe(modelField));
+    expect(create).not.toHaveBeenCalled();
+  });
+
+  it("clears inherited runtime values when an edit changes protocol and creates with Core defaults", async () => {
+    render(<ModelSettings />);
+    await userEvent.click(screen.getByRole("button", { name: "编辑配置" }));
+    expect(screen.getByLabelText("超时（秒）")).toHaveProperty("value", "60");
+    await userEvent.selectOptions(screen.getByLabelText("协议"), "ollama");
+    expect(screen.getByLabelText("超时（秒）")).toHaveProperty("value", "");
+    await userEvent.click(screen.getByRole("button", { name: "保存修改" }));
+    expect(create).toHaveBeenCalledOnce();
+    expect(create.mock.calls[0][0]).not.toHaveProperty("timeout_seconds");
+    expect(create.mock.calls[0][0]).not.toHaveProperty("max_concurrency");
+    expect(create.mock.calls[0][0]).not.toHaveProperty("context_window");
+    expect(update).not.toHaveBeenCalled();
+  });
+
   it("shows field-local Chinese required errors for mouse and keyboard submission", async () => {
     const user = userEvent.setup();
     render(<ModelSettings />);
@@ -813,14 +1232,16 @@ describe("ModelSettings", () => {
     await user.click(
       screen.getByRole("button", { name: "高级：自行配置向量模型" }),
     );
-    await user.selectOptions(screen.getByLabelText("向量配置模式"), "custom");
+    await user.click(screen.getByLabelText("向量配置模式"));
+    await user.click(screen.getByRole("option", { name: "自定义搜索模型" }));
     await user.type(
       screen.getByLabelText("配置名称"),
       "Remote with local embedding",
     );
     await user.type(screen.getByLabelText("生成模型名"), "remote-model");
     await user.type(screen.getByLabelText("向量模型名"), "nomic-embed-text");
-    await user.selectOptions(screen.getByLabelText("向量模型来源"), "ollama");
+    await user.click(screen.getByLabelText("向量模型来源"));
+    await user.click(screen.getByRole("option", { name: "本机 Ollama" }));
     await user.type(
       screen.getByLabelText("向量模型 Base URL"),
       "http://127.0.0.1:11434",
@@ -836,7 +1257,7 @@ describe("ModelSettings", () => {
     );
   });
 
-  it("后端激活不了的协议根本不出现在下拉里", () => {
+  it("后端激活不了的协议显示但不可选择", () => {
     render(<ModelSettings />);
 
     const providerSelect = screen.getByLabelText("协议") as HTMLSelectElement;
@@ -849,12 +1270,16 @@ describe("ModelSettings", () => {
     );
     expect(labels.some((text) => text.startsWith("Ollama（本机）"))).toBe(true);
 
-    // ModelProfileStore.activate() 对这两个 provider 抛
-    // model_provider_not_supported。之前它们以 disabled 的形态留在下拉里，
-    // 等于把两条死路摆在明面上让人去读懂括号里的「暂不支持」。
-    expect(labels.some((text) => text.includes("Anthropic"))).toBe(false);
-    expect(labels.some((text) => text.includes("HY Memory"))).toBe(false);
-    expect(providerSelect.options.length).toBe(2);
+    expect(
+      Array.from(providerSelect.options).find((option) =>
+        option.textContent?.includes("Anthropic"),
+      )?.disabled,
+    ).toBe(true);
+    expect(
+      Array.from(providerSelect.options).find((option) =>
+        option.textContent?.includes("HY 托管"),
+      )?.disabled,
+    ).toBe(true);
   });
 
   it("已保存的配置不印内置向量模型", () => {
@@ -1043,6 +1468,87 @@ describe("ModelSettings", () => {
       expect(nameField().disabled).toBe(false);
     });
   });
+
+  it("only completes compact setup after the backend confirms the profile is active", async () => {
+    const user = userEvent.setup();
+    const onSetupComplete = vi.fn();
+    const capabilities = {
+      endpoint_reachable: true,
+      model_available: true,
+      structured_output: false,
+      embedding_available: true,
+    };
+    const created = {
+      ...profile,
+      profile_id: "created",
+      revision: 1,
+      capabilities,
+    };
+    profiles = [];
+    create.mockImplementation(async () => {
+      profiles = [created];
+      return created;
+    });
+    probeProfile.mockResolvedValue({
+      profile_id: created.profile_id,
+      profile_revision: created.revision,
+      stages: [],
+      capabilities,
+    });
+    activate.mockResolvedValue({ ...created, is_active: true });
+    render(<ModelSettings compactSingle onSetupComplete={onSetupComplete} />);
+
+    await user.type(screen.getByLabelText("配置名称"), "Current model");
+    await user.type(screen.getByLabelText("生成模型名"), "model-v1");
+    await user.type(screen.getByLabelText(/^API Key/), "secret-value");
+    await user.click(screen.getByRole("button", { name: "测试并完成配置" }));
+
+    await waitFor(() => expect(onSetupComplete).toHaveBeenCalledOnce());
+    expect(planActivation).toHaveBeenCalledWith(
+      created.profile_id,
+      created.revision,
+    );
+    expect(activate).toHaveBeenCalledWith(created.profile_id);
+  });
+
+  it("keeps compact setup open when activation is not confirmed", async () => {
+    const user = userEvent.setup();
+    const onSetupComplete = vi.fn();
+    const capabilities = {
+      endpoint_reachable: true,
+      model_available: true,
+      structured_output: false,
+      embedding_available: true,
+    };
+    const created = {
+      ...profile,
+      profile_id: "created",
+      revision: 1,
+      capabilities,
+    };
+    profiles = [];
+    create.mockImplementation(async () => {
+      profiles = [created];
+      return created;
+    });
+    probeProfile.mockResolvedValue({
+      profile_id: created.profile_id,
+      profile_revision: created.revision,
+      stages: [],
+      capabilities,
+    });
+    activate.mockResolvedValue({ ...created, is_active: false });
+    render(<ModelSettings compactSingle onSetupComplete={onSetupComplete} />);
+
+    await user.type(screen.getByLabelText("配置名称"), "Inactive model");
+    await user.type(screen.getByLabelText("生成模型名"), "model-v1");
+    await user.type(screen.getByLabelText(/^API Key/), "secret-value");
+    await user.click(screen.getByRole("button", { name: "测试并完成配置" }));
+
+    await screen.findByText("配置已保存，尚未确认启用成功。请核对配置后重试。");
+    expect(onSetupComplete).not.toHaveBeenCalled();
+    expect(screen.getByRole("button", { name: "测试并完成配置" })).toBeTruthy();
+  });
 });
 
 describe("把一张预置卡设为当前模型", () => {

memhub/apps/web/src/OnboardingFlow.discovery.test.tsx

@@ -8,7 +8,18 @@ import { completeOnboarding } from "./api";
 import { OnboardingFlow } from "./OnboardingFlow";
 import type { ImportSourcesController } from "./use-import-sources";
 
-vi.mock("./api", () => ({ completeOnboarding: vi.fn() }));
+vi.mock("./api", () => ({
+  completeOnboarding: vi.fn(),
+  getMemoryMode: vi.fn().mockResolvedValue({
+    mode: "pro",
+    configured_mode: "pro",
+    explicitly_configured: false,
+  }),
+  setMemoryMode: vi.fn().mockResolvedValue({ mode: "pro" }),
+  planMemoryMode: vi.fn().mockResolvedValue({ blockers: [] }),
+  putOnboardingProgress: vi.fn().mockResolvedValue({ model_profile_id: null }),
+  patchOnboardingProgress: vi.fn().mockResolvedValue({}),
+}));
 vi.mock("./FirstImportReview", () => ({
   defaultHostSourceIds: () => [],
   FirstImportReview: ({
@@ -41,6 +52,9 @@ const state = {
   selected_source_ids: [],
   started_at: null,
   completed_at: null,
+  mode_intent: null,
+  setup_step: null,
+  model_profile_id: null,
 } as const;
 function source(
   id: string,
@@ -121,10 +135,13 @@ it("moves from import to the actual third step without completing onboarding", a
     />,
   );
   await userEvent.click(screen.getByRole("button", { name: "进入第三步" }));
+  await userEvent.click(screen.getByRole("radio", { name: /pro/i }));
+  await userEvent.click(screen.getByRole("button", { name: "继续配置模型" }));
   expect(screen.getByRole("heading", { name: "第三步模型页面" })).toBeTruthy();
   expect(completeOnboarding).not.toHaveBeenCalled();
   expect(finish).not.toHaveBeenCalled();
   await userEvent.click(screen.getByRole("button", { name: "返回第二步" }));
+  await userEvent.click(screen.getByRole("button", { name: "返回导入" }));
   expect(screen.getByText("Import accepted")).toBeTruthy();
   expect(completeOnboarding).not.toHaveBeenCalled();
 });
@@ -147,6 +164,8 @@ it("lets an empty first-time user enter without granting or importing a source",
   const skip = await screen.findByRole("button", { name: "稍后添加，先进入" });
   await waitFor(() => expect((skip as HTMLButtonElement).disabled).toBe(false));
   await userEvent.click(skip);
+  await userEvent.click(screen.getByRole("radio", { name: /lite/i }));
+  await userEvent.click(screen.getByRole("button", { name: "使用 Lite 进入" }));
   await waitFor(() =>
     expect(finish).toHaveBeenCalledExactlyOnceWith("sources"),
   );
@@ -168,6 +187,8 @@ it("retains explicit retry or enter when saving the skipped onboarding fails", a
   const skip = await screen.findByRole("button", { name: "稍后添加，先进入" });
   await waitFor(() => expect((skip as HTMLButtonElement).disabled).toBe(false));
   await userEvent.click(skip);
+  await userEvent.click(screen.getByRole("radio", { name: /lite/i }));
+  await userEvent.click(screen.getByRole("button", { name: "使用 Lite 进入" }));
   await screen.findByRole("button", { name: "重试保存并进入" });
   expect(finish).not.toHaveBeenCalled();
   await userEvent.click(screen.getByRole("button", { name: "仍进入应用页" }));

memhub/apps/web/src/OnboardingFlow.language.test.tsx

@@ -25,6 +25,15 @@ import type { ImportSourcesController } from "./use-import-sources";
 vi.mock("./api", () => ({
   completeOnboarding: vi.fn(),
   getModelProfiles: vi.fn(),
+  getMemoryMode: vi.fn().mockResolvedValue({
+    mode: "pro",
+    configured_mode: "pro",
+    explicitly_configured: false,
+  }),
+  setMemoryMode: vi.fn().mockResolvedValue({ mode: "pro" }),
+  planMemoryMode: vi.fn().mockResolvedValue({ blockers: [] }),
+  putOnboardingProgress: vi.fn().mockResolvedValue({ model_profile_id: null }),
+  patchOnboardingProgress: vi.fn().mockResolvedValue({}),
 }));
 const models = {
   pendingProbe: false,
@@ -38,6 +47,22 @@ const models = {
   activate: vi.fn(),
 };
 vi.mock("./use-model-profiles", () => ({ useModelProfiles: () => models }));
+vi.mock("./use-embedding-switch", () => ({
+  useEmbeddingSwitch: () => ({
+    current: null,
+    plan: null,
+    busy: null,
+    errorCode: null,
+    refreshFailed: false,
+    supported: false,
+    planActivation: vi.fn(),
+    startPlannedSwitch: vi.fn(),
+    cancelCurrentSwitch: vi.fn(),
+    shouldUseLegacyActivation: () => true,
+    clearPlan: vi.fn(),
+    clearError: vi.fn(),
+  }),
+}));
 const source: SourceResponse = {
   source_id: "cursor",
   display_name: "Cursor",
@@ -87,6 +112,9 @@ const state = {
   selected_source_ids: [],
   started_at: null,
   completed_at: null,
+  mode_intent: null,
+  setup_step: null,
+  model_profile_id: null,
 };
 beforeEach(() => {
   delete window.oneMemory;
@@ -243,7 +271,7 @@ it("translates import review and preserves independent permission disclosure", a
   ).toBeTruthy();
   expect(
     screen.getByText(
-      "Importar no concede automáticamente acceso de lectura a las aplicaciones. Las memorias comenzarán a generarse cuando configures un modelo.",
+      "A continuación, elige un modo de memoria. Podrás cambiarlo más adelante en Configuración.",
     ),
   ).toBeTruthy();
   expect(
@@ -273,20 +301,20 @@ it("uses compact Spanish actions and preserves Chinese copy and permissions", as
   expect(navigation.textContent).toContain("Conectar apps");
   expect(
     screen.getByRole("button", {
-      name: "Configurar un modelo para crear memorias",
+      name: "Elegir el modo de memoria",
     }),
   ).toBeTruthy();
-  expect(screen.getByText(/Importar no concede automáticamente/)).toBeTruthy();
+  expect(
+    screen.getByText(/A continuación, elige un modo de memoria/),
+  ).toBeTruthy();
   expect(
     screen.getByText(/Solo para las apps seleccionadas y compatibles/),
   ).toBeTruthy();
   expect(screen.getByText(/Si una falla, las demás siguen/)).toBeTruthy();
   fireEvent.click(screen.getByText("中文"));
-  expect(
-    screen.getByRole("button", { name: "配置模型，沉淀记忆" }),
-  ).toBeTruthy();
+  expect(screen.getByRole("button", { name: "选择记忆模式" })).toBeTruthy();
   expect(navigation.textContent).toContain("连接应用");
-  expect(screen.getByText(/不会自动开放应用读取权限/)).toBeTruthy();
+  expect(screen.getByText(/下一步选择记忆模式/)).toBeTruthy();
   expect(next).not.toHaveBeenCalled();
   expect(draft).not.toHaveBeenCalled();
 });
@@ -393,6 +421,8 @@ it("translates completion recovery live without repeating completion writes", as
   fireEvent.click(
     screen.getByRole("button", { name: "Entrar y añadir más tarde" }),
   );
+  fireEvent.click(screen.getByRole("radio", { name: /lite/i }));
+  fireEvent.click(screen.getByRole("button", { name: "Entrar con Lite" }));
   expect(
     await screen.findByRole("button", { name: "Reintentar guardar y entrar" }),
   ).toBeTruthy();
@@ -415,9 +445,14 @@ it("translates model configuration, validation and advanced fields without activ
   );
   expect(
     await screen.findByRole("heading", {
-      name: "Elige un modelo para crear memorias",
+      name: "Configurar el modelo de organización de recuerdos",
     }),
   ).toBeTruthy();
+  fireEvent.click(
+    screen.getByRole("button", {
+      name: "Detalles y configuración avanzada",
+    }),
+  );
   fireEvent.click(screen.getByRole("button", { name: "Probar conexión" }));
   expect(await screen.findByText("Introduce una API Key.")).toBeTruthy();
   expect(screen.getByLabelText("Tiempo de espera (segundos)")).toBeTruthy();
@@ -428,6 +463,42 @@ it("translates model configuration, validation and advanced fields without activ
   expect(screen.getByLabelText("超时（秒）")).toBeTruthy();
 });
 
+it.each([
+  [
+    "索引更新没有完成，仍在使用原来的搜索模型。请检查连接后重试。",
+    "No se completó la actualización del índice. Se sigue usando el modelo de búsqueda anterior. Comprueba la conexión y vuelve a intentarlo.",
+  ],
+  [
+    "上次模型测试结果仍待核对，请稍后重试。",
+    "El resultado de la última prueba del modelo aún debe comprobarse. Vuelve a intentarlo más tarde.",
+  ],
+  [
+    "模型写入暂时关闭。请等待索引维护完成后重试。",
+    "La escritura del modelo está temporalmente pausada. Espera a que termine el mantenimiento del índice y vuelve a intentarlo.",
+  ],
+  [
+    "模型未能确认启用，请在设置中核对。",
+    "No se pudo confirmar que el modelo esté habilitado. Compruébalo en Configuración.",
+  ],
+  [
+    "已保存的模型配置暂时无法读取，不会重复创建。请重试刷新。",
+    "La configuración guardada del modelo no se puede leer temporalmente. No se creará un duplicado. Vuelve a actualizar.",
+  ],
+])("recognizes controller message key %s", async (key, translated) => {
+  render(
+    <LanguageProvider>
+      <OnboardingModelController
+        sourceNames={[]}
+        flowError={key}
+        onBack={vi.fn()}
+      />
+    </LanguageProvider>,
+  );
+
+  expect(await screen.findByText(translated)).toBeTruthy();
+  expect(screen.queryByText(key)).toBeNull();
+});
+
 it.each([
   [
     "completed",

memhub/apps/web/src/OnboardingFlow.multisource-recovery.test.tsx

@@ -26,6 +26,15 @@ vi.mock("./api", () => ({
   getImportJobs: vi.fn(),
   connectSources: vi.fn(),
   completeOnboarding: vi.fn(),
+  getMemoryMode: vi.fn().mockResolvedValue({
+    mode: "pro",
+    configured_mode: "pro",
+    explicitly_configured: false,
+  }),
+  setMemoryMode: vi.fn().mockResolvedValue({ mode: "pro" }),
+  planMemoryMode: vi.fn().mockResolvedValue({ blockers: [] }),
+  putOnboardingProgress: vi.fn().mockResolvedValue({ model_profile_id: null }),
+  patchOnboardingProgress: vi.fn().mockResolvedValue({}),
   getSourceConnection: vi.fn(),
   createImportJob: vi.fn(),
   detectSource: vi.fn(),
@@ -68,6 +77,9 @@ const state: OnboardingState = {
   selected_source_ids: [],
   started_at: null,
   completed_at: null,
+  mode_intent: null,
+  setup_step: null,
+  model_profile_id: null,
 };
 let sources: SourceResponse[];
 let jobs: ImportJob[];
@@ -140,6 +152,17 @@ function noUnrequestedWrites() {
 }
 beforeEach(() => {
   vi.resetAllMocks();
+  vi.mocked(api.getMemoryMode).mockResolvedValue({
+    mode: "pro",
+    configured_mode: "pro",
+    explicitly_configured: false,
+  } as never);
+  vi.mocked(api.setMemoryMode).mockResolvedValue({ mode: "pro" } as never);
+  vi.mocked(api.planMemoryMode).mockResolvedValue({
+    blockers: [],
+  } as never);
+  vi.mocked(api.putOnboardingProgress).mockResolvedValue(state);
+  vi.mocked(api.patchOnboardingProgress).mockResolvedValue(state);
   localStorage.clear();
   vi.stubGlobal("crypto", webcrypto);
   delete window.oneMemory;
@@ -161,6 +184,34 @@ beforeEach(() => {
     ...state,
     status: "completed",
   });
+  vi.mocked(api.getMemoryMode).mockResolvedValue({
+    mode: "pro",
+    configured_mode: "pro",
+    explicitly_configured: false,
+    forced_by_env: false,
+    modes: ["lite", "pro", "ultra"],
+    graph_build: {
+      state: "idle",
+      started_at: null,
+      finished_at: null,
+      users: {},
+    },
+  });
+  vi.mocked(api.setMemoryMode).mockResolvedValue({
+    mode: "pro",
+    configured_mode: "pro",
+    explicitly_configured: true,
+    forced_by_env: false,
+    modes: ["lite", "pro", "ultra"],
+    graph_build: {
+      state: "idle",
+      started_at: null,
+      finished_at: null,
+      users: {},
+    },
+    previous_mode: "pro",
+    effects: [],
+  });
   vi.mocked(api.connectSources).mockImplementation(
     async (ids, _confirmed, options) => ({
       request_id: options?.requestId ?? null,
@@ -267,6 +318,8 @@ it("empty discovery shows zero and allows explicit entry without a connection re
     true,
   );
   fireEvent.click(screen.getByRole("button", { name: "稍后添加，先进入" }));
+  fireEvent.click(screen.getByRole("radio", { name: /lite/i }));
+  fireEvent.click(screen.getByRole("button", { name: "使用 Lite 进入" }));
   await waitFor(() =>
     expect(finish).toHaveBeenCalledExactlyOnceWith("sources"),
   );
@@ -317,6 +370,8 @@ it("partial acceptance preserves the successful job and failure through model-st
   expect(screen.getByLabelText("失败来源").textContent).toBe("cursor");
   expect(api.completeOnboarding).not.toHaveBeenCalled();
   fireEvent.click(screen.getByRole("button", { name: "进入应用" }));
+  fireEvent.click(screen.getByRole("radio", { name: /lite/i }));
+  fireEvent.click(screen.getByRole("button", { name: "使用 Lite 进入" }));
   await waitFor(() =>
     expect(finish).toHaveBeenCalledExactlyOnceWith("sources"),
   );

memhub/apps/web/src/OnboardingFlow.r6.test.tsx

@@ -13,7 +13,18 @@ import { afterEach, beforeEach, expect, it, vi } from "vitest";
 import { OnboardingFlow } from "./OnboardingFlow";
 import type { ImportSourcesController } from "./use-import-sources";
 
-vi.mock("./api", () => ({ completeOnboarding: vi.fn() }));
+vi.mock("./api", () => ({
+  completeOnboarding: vi.fn(),
+  getMemoryMode: vi.fn().mockResolvedValue({
+    mode: "pro",
+    configured_mode: "pro",
+    explicitly_configured: false,
+  }),
+  setMemoryMode: vi.fn().mockResolvedValue({ mode: "pro" }),
+  planMemoryMode: vi.fn().mockResolvedValue({ blockers: [] }),
+  putOnboardingProgress: vi.fn().mockResolvedValue({ model_profile_id: null }),
+  patchOnboardingProgress: vi.fn().mockResolvedValue({}),
+}));
 vi.mock("./FirstImportReview", () => ({
   FirstImportReview: ({ sourceIds }: { sourceIds: string[] }) => (
     <p>已受理 {sourceIds.join(",")}</p>
@@ -33,6 +44,9 @@ const state = {
   selected_source_ids: [],
   started_at: null,
   completed_at: null,
+  mode_intent: null,
+  setup_step: null,
+  model_profile_id: null,
 } as const;
 function source(
   id: string,

memhub/apps/web/src/OnboardingFlow.test.tsx

@@ -9,6 +9,7 @@ import type {
 import {
   act,
   cleanup,
+  fireEvent,
   render,
   screen,
   waitFor,
@@ -17,6 +18,10 @@ import {
 import userEvent from "@testing-library/user-event";
 import { afterEach, beforeEach, describe, expect, it, vi } from "vitest";
 import * as api from "./api";
+import {
+  confirmedMemoryModeSnapshot,
+  resetConfirmedMemoryModeForTests,
+} from "./confirmed-memory-mode";
 import { readConnectionPreferences } from "./connection-preferences";
 import { OnboardingFlow, PLUGIN_CONSENT_KEY } from "./OnboardingFlow";
 import {
@@ -25,6 +30,11 @@ import {
 } from "./use-import-sources";
 
 const completeOnboarding = vi.fn();
+const setMemoryMode = vi.fn();
+const getMemoryMode = vi.fn();
+const planMemoryMode = vi.fn();
+const putOnboardingProgress = vi.fn();
+const patchOnboardingProgress = vi.fn();
 const getModelProfiles = vi.fn();
 const getMemoryProcessing = vi.fn();
 const previewSourceDirectory = vi.fn();
@@ -44,6 +54,12 @@ vi.mock("./api", () => ({
   getImportJob: vi.fn(),
   apiErrorCode: vi.fn(() => null),
   completeOnboarding: (...args: unknown[]) => completeOnboarding(...args),
+  setMemoryMode: (...args: unknown[]) => setMemoryMode(...args),
+  getMemoryMode: (...args: unknown[]) => getMemoryMode(...args),
+  planMemoryMode: (...args: unknown[]) => planMemoryMode(...args),
+  putOnboardingProgress: (...args: unknown[]) => putOnboardingProgress(...args),
+  patchOnboardingProgress: (...args: unknown[]) =>
+    patchOnboardingProgress(...args),
   getModelProfiles: (...args: unknown[]) => getModelProfiles(...args),
   getMemoryProcessing: (...args: unknown[]) => getMemoryProcessing(...args),
   previewSourceDirectory: (...args: unknown[]) =>
@@ -58,20 +74,33 @@ vi.mock("./OnboardingModelController", () => ({
   OnboardingModelController: ({
     onBack,
     onSkip,
-    onEnabled,
+    onProfilePersisted,
+    onModelActiveConfirmed,
+    generationToken,
   }: {
     onBack(): void;
-    onSkip(): void;
-    onEnabled(): void;
+    onSkip?(): void;
+    onProfilePersisted(profileId: string): void;
+    onModelActiveConfirmed(token: number, profileId: string): void;
+    generationToken: number;
   }) => (
     <section aria-label="模型步骤边界">
       <button type="button" onClick={onBack}>
         返回导入
       </button>
-      <button type="button" onClick={onEnabled}>
+      <button
+        type="button"
+        onClick={() => {
+          onProfilePersisted("9be6d465-4cf2-4c72-93f7-15f3c012bc80");
+          onModelActiveConfirmed(
+            generationToken,
+            "9be6d465-4cf2-4c72-93f7-15f3c012bc80",
+          );
+        }}
+      >
         模型启用回执已确认
       </button>
-      <button type="button" onClick={onSkip}>
+      <button type="button" onClick={onSkip ?? onBack}>
         跳过模型进入应用
       </button>
     </section>
@@ -83,6 +112,9 @@ const onboarding: OnboardingState = {
   selected_source_ids: [],
   started_at: null,
   completed_at: null,
+  mode_intent: null,
+  setup_step: null,
+  model_profile_id: null,
 };
 const health = {
   status: "ok" as const,
@@ -176,9 +208,18 @@ async function skipWelcome(user?: ReturnType<typeof userEvent.setup>) {
   await openApps(user);
 }
 async function continueImport(user: ReturnType<typeof userEvent.setup>) {
-  await user.click(screen.getByRole("button", { name: "配置模型，沉淀记忆" }));
+  await openModelStep(user);
   await user.click(screen.getByRole("button", { name: "模型启用回执已确认" }));
 }
+async function openModelStep(user: ReturnType<typeof userEvent.setup>) {
+  await user.click(screen.getByRole("button", { name: "选择记忆模式" }));
+  await user.click(screen.getByRole("radio", { name: /pro/i }));
+  await user.click(screen.getByRole("button", { name: "继续配置模型" }));
+}
+async function chooseLiteAndContinue(user: ReturnType<typeof userEvent.setup>) {
+  await user.click(screen.getByRole("radio", { name: /lite/i }));
+  await user.click(screen.getByRole("button", { name: "使用 Lite 进入" }));
+}
 function choice(name = "Claude Code") {
   return screen.getByRole<HTMLInputElement>("checkbox", {
     name: `导入 ${name} 历史`,
@@ -212,12 +253,40 @@ async function approve(user: ReturnType<typeof userEvent.setup>) {
 describe("OnboardingFlow S1.3", () => {
   beforeEach(() => {
     vi.resetAllMocks();
+    resetConfirmedMemoryModeForTests();
     window.localStorage.clear();
     window.oneMemory = undefined;
     completeOnboarding.mockResolvedValue({
       ...onboarding,
       status: "completed",
     });
+    setMemoryMode.mockResolvedValue({ mode: "pro" });
+    planMemoryMode.mockResolvedValue({
+      current: "lite",
+      target: "pro",
+      effective_target: "pro",
+      capabilities: {},
+      effects: [],
+      warnings: [],
+      blockers: [],
+    });
+    putOnboardingProgress.mockImplementation(
+      async (update: Partial<OnboardingState>) => ({
+        ...onboarding,
+        ...update,
+      }),
+    );
+    patchOnboardingProgress.mockImplementation(
+      async (update: Partial<OnboardingState>) => ({
+        ...onboarding,
+        ...update,
+      }),
+    );
+    getMemoryMode.mockResolvedValue({
+      mode: "pro",
+      configured_mode: "pro",
+      explicitly_configured: false,
+    });
   });
   afterEach(() => {
     cleanup();
@@ -352,10 +421,10 @@ describe("OnboardingFlow S1.3", () => {
     await user.click(screen.getByRole("button", { name: START }));
 
     const continueButton = await screen.findByRole("button", {
-      name: "配置模型，沉淀记忆",
+      name: "选择记忆模式",
     });
     expect(continueButton).toHaveProperty("disabled", false);
-    await user.click(continueButton);
+    await openModelStep(user);
     const modelBoundary = screen.getByRole("region", {
       name: "模型步骤边界",
     });
@@ -365,6 +434,7 @@ describe("OnboardingFlow S1.3", () => {
       modelBoundary,
     );
     await user.click(screen.getByRole("button", { name: "返回导入" }));
+    await user.click(screen.getByRole("button", { name: "返回导入" }));
     await waitFor(() =>
       expect(screen.getByRole("alert").textContent).toContain(
         "开始导入的结果尚未确认",
@@ -388,9 +458,7 @@ describe("OnboardingFlow S1.3", () => {
         onFinish={finish}
       />,
     );
-    await userEvent.click(
-      screen.getByRole("button", { name: "配置模型，沉淀记忆" }),
-    );
+    await openModelStep(userEvent.setup());
     expect(screen.getByRole("region", { name: "模型步骤边界" })).toBeTruthy();
     expect(completeOnboarding).not.toHaveBeenCalled();
     expect(finish).not.toHaveBeenCalled();
@@ -649,9 +717,7 @@ describe("OnboardingFlow S1.3", () => {
     await approve(user);
     await user.click(screen.getByRole("button", { name: START }));
     expect(onFinish).not.toHaveBeenCalled();
-    await user.click(
-      screen.getByRole("button", { name: "配置模型，沉淀记忆" }),
-    );
+    await openModelStep(user);
     expect(onFinish).not.toHaveBeenCalled();
     expect(completeOnboarding).not.toHaveBeenCalled();
     await user.click(
@@ -678,13 +744,387 @@ describe("OnboardingFlow S1.3", () => {
     );
     await openApps();
     await user.click(screen.getByRole("button", { name: SKIP }));
+    await user.click(screen.getByRole("radio", { name: /lite/i }));
+    await user.click(screen.getByRole("button", { name: "使用 Lite 进入" }));
     expect(onFinish).toHaveBeenCalledWith("sources");
     expect(completeOnboarding).toHaveBeenCalledOnce();
     expect(controller.refresh).toHaveBeenCalledOnce();
     expect(controller.connectForOnboarding).not.toHaveBeenCalled();
   });
 
-  it("allows entering the app from step three without creating a model", async () => {
+  it("shows the compact Lite and Pro mode step with contextual actions", async () => {
+    const user = userEvent.setup();
+    render(
+      <OnboardingFlow
+        state={onboarding}
+        imports={imports({ sources: [] })}
+        onFinish={vi.fn()}
+      />,
+    );
+
+    await openApps();
+    await user.click(screen.getByRole("button", { name: SKIP }));
+
+    expect(screen.getByRole("heading", { name: "选择记忆模式" })).toBeTruthy();
+    expect(screen.getByText("之后可在设置中更改。")).toBeTruthy();
+    expect(screen.getAllByRole("radio")).toHaveLength(2);
+    expect(screen.queryByRole("radio", { name: /ultra/i })).toBeNull();
+    expect(screen.getByText("推荐").closest("label")?.textContent).toContain(
+      "Pro",
+    );
+    expect(
+      screen.getByText("Ultra 可在完成首次设置后到设置页开启。"),
+    ).toBeTruthy();
+    const modeStep = screen
+      .getByRole("navigation", { name: "首次设置进度" })
+      .querySelector('[aria-current="step"]');
+    expect(modeStep?.getAttribute("aria-current")).toBe("step");
+
+    await user.click(screen.getByRole("radio", { name: /lite/i }));
+    expect(screen.getByRole("button", { name: "使用 Lite 进入" })).toBeTruthy();
+    await user.click(screen.getByRole("radio", { name: /pro/i }));
+    expect(screen.getByRole("button", { name: "继续配置模型" })).toBeTruthy();
+  });
+
+  it("does not let a late saved-mode read overwrite the user's new choice", async () => {
+    let resolveMode!: (value: {
+      mode: "pro";
+      configured_mode: "pro";
+      explicitly_configured: true;
+    }) => void;
+    getMemoryMode.mockReturnValueOnce(
+      new Promise((resolve) => {
+        resolveMode = resolve;
+      }),
+    );
+    const user = userEvent.setup();
+    render(
+      <OnboardingFlow
+        state={onboarding}
+        imports={imports({ sources: [] })}
+        onFinish={vi.fn()}
+      />,
+    );
+
+    await openApps();
+    await user.click(screen.getByRole("button", { name: SKIP }));
+    const lite = screen.getByRole<HTMLInputElement>("radio", { name: /lite/i });
+    await user.click(lite);
+    await act(async () => {
+      resolveMode({
+        mode: "pro",
+        configured_mode: "pro",
+        explicitly_configured: true,
+      });
+    });
+
+    expect(lite.checked).toBe(true);
+    await user.click(screen.getByRole("button", { name: "使用 Lite 进入" }));
+    expect(setMemoryMode).toHaveBeenLastCalledWith("lite");
+  });
+
+  it("retains the explicit lite choice when saving the mode fails and retries", async () => {
+    const user = userEvent.setup();
+    const controller = imports({ sources: [] });
+    const onFinish = vi.fn();
+    setMemoryMode.mockRejectedValueOnce(new Error("offline"));
+    render(
+      <OnboardingFlow
+        state={onboarding}
+        imports={controller}
+        onFinish={onFinish}
+      />,
+    );
+
+    await openApps();
+    await user.click(screen.getByRole("button", { name: SKIP }));
+    const lite = screen.getByRole<HTMLInputElement>("radio", { name: /lite/i });
+    expect(screen.getByRole("button", { name: "继续" })).toHaveProperty(
+      "disabled",
+      true,
+    );
+    await user.click(lite);
+    await user.click(screen.getByRole("button", { name: "使用 Lite 进入" }));
+
+    expect((await screen.findByRole("alert")).textContent).toContain(
+      "模式未能保存。你的选择已保留，请重试。",
+    );
+    expect(lite.checked).toBe(true);
+    expect(completeOnboarding).not.toHaveBeenCalled();
+    expect(onFinish).not.toHaveBeenCalled();
+
+    await user.click(screen.getByRole("button", { name: "使用 Lite 进入" }));
+    await waitFor(() => expect(setMemoryMode).toHaveBeenCalledTimes(2));
+    expect(setMemoryMode).toHaveBeenLastCalledWith("lite");
+    expect(completeOnboarding).toHaveBeenCalledOnce();
+    expect(onFinish).toHaveBeenCalledWith("sources");
+  });
+
+  it("serializes an in-flight Pro PUT before a later Lite choice so Lite wins", async () => {
+    let resolvePro!: (value: { mode: "pro" }) => void;
+    setMemoryMode
+      .mockImplementationOnce(
+        () =>
+          new Promise((resolve) => {
+            resolvePro = resolve;
+          }),
+      )
+      .mockResolvedValueOnce({ mode: "lite" });
+    const user = userEvent.setup();
+    const finish = vi.fn();
+    render(
+      <OnboardingFlow
+        state={onboarding}
+        imports={imports({ sources: [] })}
+        onFinish={finish}
+      />,
+    );
+
+    await openApps();
+    await user.click(screen.getByRole("button", { name: SKIP }));
+    await user.click(screen.getByRole("radio", { name: /pro/i }));
+    await user.click(screen.getByRole("button", { name: "继续配置模型" }));
+    await user.click(
+      screen.getByRole("button", { name: "模型启用回执已确认" }),
+    );
+    await waitFor(() => expect(setMemoryMode).toHaveBeenCalledWith("pro"));
+
+    await user.click(screen.getByRole("button", { name: "返回导入" }));
+    await user.click(screen.getByRole("radio", { name: /lite/i }));
+    await user.click(screen.getByRole("button", { name: "使用 Lite 进入" }));
+    expect(setMemoryMode).toHaveBeenCalledTimes(1);
+
+    await act(async () => resolvePro({ mode: "pro" }));
+    await waitFor(() => expect(setMemoryMode).toHaveBeenCalledTimes(2));
+    expect(setMemoryMode.mock.calls.map(([mode]) => mode)).toEqual([
+      "pro",
+      "lite",
+    ]);
+    await waitFor(() => expect(finish).toHaveBeenCalledWith("sources"));
+    expect(completeOnboarding).toHaveBeenCalledOnce();
+  });
+
+  it("drops an in-flight Pro response after returning to mode without confirming or completing", async () => {
+    let resolvePro!: (value: { mode: "pro" }) => void;
+    setMemoryMode.mockImplementationOnce(
+      () =>
+        new Promise((resolve) => {
+          resolvePro = resolve;
+        }),
+    );
+    const user = userEvent.setup();
+    render(
+      <OnboardingFlow
+        state={onboarding}
+        imports={imports({ sources: [] })}
+        onFinish={vi.fn()}
+      />,
+    );
+
+    await openApps();
+    await user.click(screen.getByRole("button", { name: SKIP }));
+    await user.click(screen.getByRole("radio", { name: /pro/i }));
+    await user.click(screen.getByRole("button", { name: "继续配置模型" }));
+    const revisionBeforePut = confirmedMemoryModeSnapshot().revision;
+    await user.click(
+      screen.getByRole("button", { name: "模型启用回执已确认" }),
+    );
+    await waitFor(() => expect(setMemoryMode).toHaveBeenCalledWith("pro"));
+    await user.click(screen.getByRole("button", { name: "返回导入" }));
+
+    await act(async () => resolvePro({ mode: "pro" }));
+    await waitFor(() =>
+      expect(
+        screen.getByRole("heading", { name: "选择记忆模式" }),
+      ).toBeTruthy(),
+    );
+    expect(confirmedMemoryModeSnapshot().revision).toBe(revisionBeforePut);
+    expect(completeOnboarding).not.toHaveBeenCalled();
+  });
+
+  it("serializes model and back progress writes so setup mode wins", async () => {
+    let resolveModelProgress!: (value: OnboardingState) => void;
+    putOnboardingProgress
+      .mockResolvedValueOnce({
+        ...onboarding,
+        mode_intent: "pro",
+        setup_step: "model",
+      })
+      .mockImplementationOnce(
+        () =>
+          new Promise((resolve) => {
+            resolveModelProgress = resolve;
+          }),
+      )
+      .mockResolvedValueOnce({
+        ...onboarding,
+        mode_intent: "pro",
+        setup_step: "mode",
+      });
+    const user = userEvent.setup();
+    render(
+      <OnboardingFlow
+        state={onboarding}
+        imports={imports({ sources: [] })}
+        onFinish={vi.fn()}
+      />,
+    );
+
+    await openApps();
+    await user.click(screen.getByRole("button", { name: SKIP }));
+    await user.click(screen.getByRole("radio", { name: /pro/i }));
+    await user.click(screen.getByRole("button", { name: "继续配置模型" }));
+    await user.click(
+      screen.getByRole("button", { name: "模型启用回执已确认" }),
+    );
+    await waitFor(() => expect(putOnboardingProgress).toHaveBeenCalledTimes(2));
+    await user.click(screen.getByRole("button", { name: "返回导入" }));
+    expect(putOnboardingProgress).toHaveBeenCalledTimes(2);
+
+    await act(async () =>
+      resolveModelProgress({
+        ...onboarding,
+        mode_intent: "pro",
+        setup_step: "model",
+      }),
+    );
+    await waitFor(() => expect(putOnboardingProgress).toHaveBeenCalledTimes(3));
+    expect(putOnboardingProgress).toHaveBeenLastCalledWith({
+      mode_intent: "pro",
+      setup_step: "mode",
+      model_profile_id: "9be6d465-4cf2-4c72-93f7-15f3c012bc80",
+    });
+    expect(completeOnboarding).not.toHaveBeenCalled();
+  });
+
+  it("moves focus to the mode title on entry and after returning from model", async () => {
+    const user = userEvent.setup();
+    render(
+      <OnboardingFlow
+        state={onboarding}
+        imports={imports({ sources: [] })}
+        onFinish={vi.fn()}
+      />,
+    );
+
+    await openApps();
+    await user.click(screen.getByRole("button", { name: SKIP }));
+    const firstTitle = screen.getByRole("heading", { name: "选择记忆模式" });
+    await waitFor(() => expect(document.activeElement).toBe(firstTitle));
+
+    await user.click(screen.getByRole("radio", { name: /pro/i }));
+    await user.click(screen.getByRole("button", { name: "继续配置模型" }));
+    await user.click(screen.getByRole("button", { name: "返回导入" }));
+    const returnedTitle = screen.getByRole("heading", {
+      name: "选择记忆模式",
+    });
+    await waitFor(() => expect(document.activeElement).toBe(returnedTitle));
+  });
+
+  it("treats completed progress conflicts as terminal instead of retryable failures", async () => {
+    putOnboardingProgress.mockRejectedValueOnce(
+      Object.assign(new Error("completed"), {
+        response: {
+          status: 409,
+          data: { detail: "onboarding_completed" },
+        },
+      }),
+    );
+    const user = userEvent.setup();
+    const finish = vi.fn();
+    render(
+      <OnboardingFlow
+        state={onboarding}
+        imports={imports({ sources: [] })}
+        onFinish={finish}
+      />,
+    );
+
+    await openApps();
+    await user.click(screen.getByRole("button", { name: SKIP }));
+    await user.click(screen.getByRole("radio", { name: /pro/i }));
+    await user.click(screen.getByRole("button", { name: "继续配置模型" }));
+    await waitFor(() => expect(finish).toHaveBeenCalledWith("sources"));
+    expect(screen.queryByRole("alert")).toBeNull();
+    expect(setMemoryMode).not.toHaveBeenCalled();
+  });
+
+  it("persists a late profile receipt after leaving model but fences late activation", async () => {
+    const user = userEvent.setup();
+    render(
+      <OnboardingFlow
+        state={onboarding}
+        imports={imports({ sources: [] })}
+        onFinish={vi.fn()}
+      />,
+    );
+
+    await openApps();
+    await user.click(screen.getByRole("button", { name: SKIP }));
+    await user.click(screen.getByRole("radio", { name: /pro/i }));
+    await user.click(screen.getByRole("button", { name: "继续配置模型" }));
+    const lateReceipt = screen.getByRole("button", {
+      name: "模型启用回执已确认",
+    });
+    await user.click(screen.getByRole("button", { name: "返回导入" }));
+    fireEvent.click(lateReceipt);
+
+    await waitFor(() =>
+      expect(patchOnboardingProgress).toHaveBeenCalledWith({
+        model_profile_id: "9be6d465-4cf2-4c72-93f7-15f3c012bc80",
+      }),
+    );
+    expect(setMemoryMode).not.toHaveBeenCalled();
+    expect(completeOnboarding).not.toHaveBeenCalled();
+  });
+
+  it("restores a persisted Pro model step directly after restart", async () => {
+    render(
+      <OnboardingFlow
+        state={{
+          ...onboarding,
+          mode_intent: "pro",
+          setup_step: "model",
+          model_profile_id: "9be6d465-4cf2-4c72-93f7-15f3c012bc80",
+        }}
+        imports={imports({ sources: [] })}
+        onFinish={vi.fn()}
+      />,
+    );
+
+    expect(screen.getByRole("region", { name: "模型步骤边界" })).toBeTruthy();
+    expect(screen.queryByRole("heading", { name: "选择记忆模式" })).toBeNull();
+  });
+
+  it("keeps the Pro choice retryable when progress persistence fails", async () => {
+    putOnboardingProgress.mockRejectedValueOnce(new Error("offline"));
+    const user = userEvent.setup();
+    render(
+      <OnboardingFlow
+        state={onboarding}
+        imports={imports({ sources: [] })}
+        onFinish={vi.fn()}
+      />,
+    );
+
+    await openApps();
+    await user.click(screen.getByRole("button", { name: SKIP }));
+    const pro = screen.getByRole<HTMLInputElement>("radio", { name: /pro/i });
+    await user.click(pro);
+    await user.click(screen.getByRole("button", { name: "继续配置模型" }));
+    expect((await screen.findByRole("alert")).textContent).toContain(
+      "模式未能保存",
+    );
+    expect(pro.checked).toBe(true);
+    expect(screen.queryByRole("region", { name: "模型步骤边界" })).toBeNull();
+
+    await user.click(screen.getByRole("button", { name: "继续配置模型" }));
+    expect(
+      await screen.findByRole("region", { name: "模型步骤边界" }),
+    ).toBeTruthy();
+  });
+
+  it("returns from skipped pro setup to an explicit mode choice", async () => {
     const user = userEvent.setup();
     const controller = imports();
     const onFinish = vi.fn();
@@ -698,10 +1138,13 @@ describe("OnboardingFlow S1.3", () => {
     await choose(user);
     await approve(user);
     await user.click(screen.getByRole("button", { name: START }));
-    await user.click(
-      screen.getByRole("button", { name: "配置模型，沉淀记忆" }),
-    );
+    await openModelStep(user);
     await user.click(screen.getByRole("button", { name: "跳过模型进入应用" }));
+    expect(screen.getByRole("heading", { name: "选择记忆模式" })).toBeTruthy();
+    expect(completeOnboarding).not.toHaveBeenCalled();
+    expect(onFinish).not.toHaveBeenCalled();
+    await user.click(screen.getByRole("radio", { name: /lite/i }));
+    await user.click(screen.getByRole("button", { name: "使用 Lite 进入" }));
     expect(completeOnboarding).toHaveBeenCalledOnce();
     expect(onFinish).toHaveBeenCalledWith("sources");
     expect(getModelProfiles).not.toHaveBeenCalled();
@@ -721,6 +1164,7 @@ describe("OnboardingFlow S1.3", () => {
     );
     await choose(user);
     await user.click(screen.getByRole("button", { name: SKIP }));
+    await chooseLiteAndContinue(user);
     expect(onFinish).toHaveBeenCalledWith("sources");
     for (const fn of [
       controller.connectForOnboarding,
@@ -775,6 +1219,7 @@ describe("OnboardingFlow S1.3", () => {
     expect(choice()).toHaveProperty("disabled", false);
     await waitFor(() => expect(choice()).toHaveProperty("checked", true));
     await user.click(screen.getByRole("button", { name: SKIP }));
+    await chooseLiteAndContinue(user);
     expect(onFinish).toHaveBeenCalledWith("sources");
     expect(controller.connectForOnboarding).not.toHaveBeenCalled();
   });
@@ -798,6 +1243,7 @@ describe("OnboardingFlow S1.3", () => {
     expect(controller.connectForOnboarding).not.toHaveBeenCalled();
     expect(onFinish).not.toHaveBeenCalled();
     await user.click(screen.getByRole("button", { name: SKIP }));
+    await chooseLiteAndContinue(user);
     expect(onFinish).toHaveBeenCalledWith("sources");
   });
 
@@ -1651,7 +2097,7 @@ describe("OnboardingFlow S1.3", () => {
     });
     await openApps();
     await user.click(screen.getByRole("button", { name: START }));
-    await screen.findByRole("button", { name: "配置模型，沉淀记忆" });
+    await screen.findByRole("button", { name: "选择记忆模式" });
     await continueImport(user);
     expect(onFinish).toHaveBeenCalledWith("sources");
     expect(api.connectSources).toHaveBeenCalledOnce();
@@ -1868,6 +2314,7 @@ describe("OnboardingFlow S1.3", () => {
     await user.click(screen.getByRole("button", { name: START }));
     expect(onFinish).not.toHaveBeenCalled();
     await user.click(screen.getByRole("button", { name: "查看未导入的应用" }));
+    await chooseLiteAndContinue(user);
     expect(onFinish).toHaveBeenCalledWith("sources");
   });
 
@@ -2042,6 +2489,7 @@ describe("OnboardingFlow S1.3", () => {
       />,
     );
     await user.click(screen.getByRole("button", { name: SKIP }));
+    await chooseLiteAndContinue(user);
     await user.click(screen.getByRole("button", { name: "仍进入应用页" }));
     expect(onFinish).toHaveBeenCalledWith("sources");
     expect(controller.connectForOnboarding).not.toHaveBeenCalled();
@@ -2143,9 +2591,7 @@ describe("OnboardingFlow S1.3", () => {
     expect(readConnectionPreferences().hostSourceIds).toContain("claude");
     expect(controller.setSync).not.toHaveBeenCalled();
     expect(previewRecallInstall).not.toHaveBeenCalled();
-    await user.click(
-      screen.getByRole("button", { name: "配置模型，沉淀记忆" }),
-    );
+    await openModelStep(user);
     expect(screen.getByRole("region", { name: "模型步骤边界" })).toBeTruthy();
     expect(controller.setSync).not.toHaveBeenCalled();
     expect(previewRecallInstall).toHaveBeenCalledWith("claude-code");
@@ -2192,9 +2638,7 @@ describe("OnboardingFlow S1.3", () => {
     await user.click(insertion);
     expect(insertion.checked).toBe(false);
     expect(readConnectionPreferences().hostSourceIds).toEqual([]);
-    await user.click(
-      screen.getByRole("button", { name: "配置模型，沉淀记忆" }),
-    );
+    await openModelStep(user);
     expect(controller.setSync).not.toHaveBeenCalled();
     expect(previewRecallInstall).not.toHaveBeenCalled();
   });
@@ -2240,9 +2684,7 @@ describe("OnboardingFlow S1.3", () => {
     });
     expect(host.disabled).toBe(true);
     expect(host.checked).toBe(false);
-    await user.click(
-      screen.getByRole("button", { name: "配置模型，沉淀记忆" }),
-    );
+    await user.click(screen.getByRole("button", { name: "选择记忆模式" }));
     expect(controller.setSync).not.toHaveBeenCalled();
     expect(previewRecallInstall).not.toHaveBeenCalled();
   });
@@ -2355,9 +2797,7 @@ describe("OnboardingFlow S1.3", () => {
     await waitFor(() => expect(insertion.disabled).toBe(false));
     expect(previewRecallInstall).not.toHaveBeenCalled();
     expect(insertion.checked).toBe(true);
-    await user.click(
-      screen.getByRole("button", { name: "配置模型，沉淀记忆" }),
-    );
+    await openModelStep(user);
     expect(screen.getByRole("region", { name: "模型步骤边界" })).toBeTruthy();
     expect(previewRecallInstall).toHaveBeenCalledWith("claude-code");
     expect(window.oneMemory?.installRecall).toHaveBeenCalledTimes(1);

memhub/apps/web/src/OnboardingFlow.tsx

@@ -15,8 +15,20 @@ import {
   useState,
 } from "react";
 
-import { completeOnboarding } from "./api";
+import {
+  apiErrorCode,
+  completeOnboarding,
+  getMemoryMode,
+  patchOnboardingProgress,
+  planMemoryMode,
+  putOnboardingProgress,
+  setMemoryMode,
+} from "./api";
 import { AppMark } from "./app-mark";
+import {
+  commitConfirmedMemoryMode,
+  issueConfirmedModeTicket,
+} from "./confirmed-memory-mode";
 import { saveConnectionPreferences } from "./connection-preferences";
 import {
   defaultHostSourceIds,
@@ -28,6 +40,7 @@ import {
   hostCapabilities,
   hostWriteReason,
 } from "./host-state";
+import { MemoryModeChoiceList } from "./MemoryModeChoiceList";
 import { OnboardingModelController } from "./OnboardingModelController";
 import { useOnboardingTranslation } from "./onboarding-language";
 import { R6ColdStartFrame } from "./R6ColdStartFrame";
@@ -38,6 +51,7 @@ import { isDefiniteRefusal } from "./write-outcome";
 import "./cold-start.css";
 
 export type OnboardingDestination = "memory" | "sources" | "settings";
+type OnboardingMemoryMode = "lite" | "pro";
 
 // Cold start neither reads nor writes installation intent.
 export const PLUGIN_CONSENT_KEY = "one-memory.consent.plugins";
@@ -46,6 +60,28 @@ const SCOPE_CHANGED =
   "来源位置、身份或状态已变化，请重新选择并核对。尚未提交本次授权。";
 type LocationCheck = "idle" | "checking" | "ready" | "failed";
 
+function isCompletedProgressConflict(reason: unknown): boolean {
+  if (apiErrorCode(reason) === "onboarding_completed") return true;
+  if (!reason || typeof reason !== "object" || !("response" in reason))
+    return false;
+  const response = (
+    reason as {
+      response?: { status?: unknown; data?: { detail?: unknown } };
+    }
+  ).response;
+  return (
+    response?.status === 409 && response.data?.detail === "onboarding_completed"
+  );
+}
+
+function isGenerationInvalid(reason: unknown): boolean {
+  return (
+    reason instanceof Error &&
+    (reason.message === "onboarding_generation_invalid" ||
+      reason.message === "onboarding_progress_generation_invalid")
+  );
+}
+
 function defaultConnectionDraft(
   sources: SourceResponse[],
   sourceIds: readonly string[],
@@ -88,8 +124,37 @@ export function OnboardingFlow({
   const [startingImport, setStartingImport] = useState<SourceResponse[] | null>(
     null,
   );
-  const [modelStep, setModelStep] = useState(false);
-  const [visitedModel, setVisitedModel] = useState(false);
+  const resumedStep =
+    state.mode_intent === "pro" && state.setup_step === "model"
+      ? "model"
+      : state.mode_intent
+        ? "mode"
+        : "review";
+  const [setupStep, setSetupStep] = useState<"review" | "mode" | "model">(
+    resumedStep,
+  );
+  const [modeChoice, setModeChoice] = useState<OnboardingMemoryMode | null>(
+    state.mode_intent,
+  );
+  const [modeDestination, setModeDestination] =
+    useState<OnboardingDestination>("sources");
+  const [modeSaving, setModeSaving] = useState(false);
+  const [modeError, setModeError] = useState<string | null>(null);
+  const [modeFocusToken, setModeFocusToken] = useState(
+    resumedStep === "mode" ? 1 : 0,
+  );
+  const modeChoiceTouched = useRef(state.mode_intent !== null);
+  const [visitedSetup, setVisitedSetup] = useState(resumedStep !== "review");
+  const [visitedModel, setVisitedModel] = useState(resumedStep === "model");
+  const [modelGenerationToken, setModelGenerationToken] = useState(
+    resumedStep === "model" ? 1 : 0,
+  );
+  const modelGeneration = useRef(resumedStep === "model" ? 1 : 0);
+  const intentRef = useRef<OnboardingMemoryMode | null>(state.mode_intent);
+  const setupStepRef = useRef<"review" | "mode" | "model">(resumedStep);
+  const modelProfileId = useRef<string | null>(state.model_profile_id);
+  const modeWriteQueue = useRef<Promise<void>>(Promise.resolve());
+  const progressWriteQueue = useRef<Promise<void>>(Promise.resolve());
   const [modelSourceIds, setModelSourceIds] = useState<string[]>([]);
   const [connectionDraft, setConnectionDraft] = useState<ImportConnectionDraft>(
     { hostSourceIds: [] },
@@ -135,7 +200,7 @@ export function OnboardingFlow({
   const consideredSources = useRef(new Set<string>());
   const heading = useRef<HTMLHeadingElement>(null);
   const reviewingImport =
-    visitedModel ||
+    (visitedSetup && !completionFailed) ||
     accepted !== null ||
     startingImport !== null ||
     state.status === "importing";
@@ -307,6 +372,23 @@ export function OnboardingFlow({
 
   useEffect(() => {
     alive.current = true;
+    const modeTicket = issueConfirmedModeTicket("onboarding");
+    void getMemoryMode().then(
+      (memoryMode) => {
+        if (alive.current)
+          commitConfirmedMemoryMode(memoryMode.mode, modeTicket);
+        if (
+          alive.current &&
+          !modeChoiceTouched.current &&
+          memoryMode.explicitly_configured &&
+          memoryMode.configured_mode !== "ultra"
+        )
+          setModeChoice(memoryMode.configured_mode);
+      },
+      () => {
+        // The choice screen remains usable; saving rechecks Core.
+      },
+    );
     return () => {
       alive.current = false;
     };
@@ -401,6 +483,93 @@ export function OnboardingFlow({
     [onFinish],
   );
 
+  const enterModelStep = useCallback(() => {
+    intentRef.current = "pro";
+    setupStepRef.current = "model";
+    const token = ++modelGeneration.current;
+    setModelGenerationToken(token);
+    setVisitedModel(true);
+    setSetupStep("model");
+  }, []);
+
+  const leaveModelStep = useCallback(
+    (nextIntent: OnboardingMemoryMode, nextStep: "review" | "mode") => {
+      // This fence is synchronous: hidden model work must observe invalidation
+      // before React renders the replacement step.
+      modelGeneration.current += 1;
+      intentRef.current = nextIntent;
+      setupStepRef.current = nextStep;
+      setModeChoice(nextIntent);
+      setSetupStep(nextStep);
+      if (nextStep === "mode") setModeFocusToken((value) => value + 1);
+      setModeSaving(false);
+    },
+    [],
+  );
+
+  const queueModeWrite = useCallback(
+    (mode: OnboardingMemoryMode, allowed: () => boolean = () => true) => {
+      let resolveResult!: (
+        value: Awaited<ReturnType<typeof setMemoryMode>>,
+      ) => void;
+      let rejectResult!: (reason?: unknown) => void;
+      const result = new Promise<Awaited<ReturnType<typeof setMemoryMode>>>(
+        (resolve, reject) => {
+          resolveResult = resolve;
+          rejectResult = reject;
+        },
+      );
+      modeWriteQueue.current = modeWriteQueue.current
+        .catch(() => undefined)
+        .then(async () => {
+          if (!allowed()) {
+            rejectResult(new Error("onboarding_generation_invalid"));
+            return;
+          }
+          try {
+            resolveResult(await setMemoryMode(mode));
+          } catch (reason) {
+            rejectResult(reason);
+          }
+        });
+      return result;
+    },
+    [],
+  );
+
+  const queueProgressWrite = useCallback(
+    (
+      operation: () => ReturnType<typeof putOnboardingProgress>,
+      allowed: () => boolean = () => true,
+    ) => {
+      let resolveResult!: (
+        value: Awaited<ReturnType<typeof putOnboardingProgress>>,
+      ) => void;
+      let rejectResult!: (reason?: unknown) => void;
+      const result = new Promise<
+        Awaited<ReturnType<typeof putOnboardingProgress>>
+      >((resolve, reject) => {
+        resolveResult = resolve;
+        rejectResult = reject;
+      });
+      progressWriteQueue.current = progressWriteQueue.current
+        .catch(() => undefined)
+        .then(async () => {
+          if (!allowed()) {
+            rejectResult(new Error("onboarding_progress_generation_invalid"));
+            return;
+          }
+          try {
+            resolveResult(await operation());
+          } catch (reason) {
+            rejectResult(reason);
+          }
+        });
+      return result;
+    },
+    [],
+  );
+
   const persistFinish = useCallback(
     async (destination: OnboardingDestination) => {
       setExitDestination(destination);
@@ -420,8 +589,10 @@ export function OnboardingFlow({
             : "onboarding_complete_result_unknown",
         });
         if (alive.current) {
+          modelGeneration.current += 1;
+          setupStepRef.current = "review";
           setCompletionFailed(true);
-          setModelStep(false);
+          setSetupStep("review");
           // A definite refusal means it was not saved; anything else (timeout,
           // 5xx, no response) leaves the outcome unknown, and the copy must not
           // assert a failure the UI cannot prove.
@@ -450,6 +621,163 @@ export function OnboardingFlow({
     [persistFinish],
   );
 
+  const requestModeChoice = useCallback(
+    (destination: OnboardingDestination) => {
+      if (finished.current) return;
+      if (setupStepRef.current === "model") leaveModelStep("pro", "mode");
+      else {
+        intentRef.current = modeChoice;
+        setupStepRef.current = "mode";
+        setSetupStep("mode");
+        setModeFocusToken((value) => value + 1);
+      }
+      setModeDestination(destination === "settings" ? "sources" : destination);
+      setModeError(null);
+      setError(null);
+      setVisitedSetup(true);
+    },
+    [leaveModelStep, modeChoice],
+  );
+
+  const saveModeChoice = useCallback(async () => {
+    if (
+      !modeChoice ||
+      modeSaving ||
+      finished.current ||
+      (modeChoice === "lite" && flight.current)
+    )
+      return;
+    setModeSaving(true);
+    setModeError(null);
+    const modeTicket = issueConfirmedModeTicket("onboarding");
+    try {
+      if (modeChoice === "pro") {
+        intentRef.current = "pro";
+        setupStepRef.current = "mode";
+        const selectionStillCurrent = () =>
+          alive.current &&
+          !finished.current &&
+          intentRef.current === "pro" &&
+          setupStepRef.current === "mode";
+        const savedProgress = await queueProgressWrite(
+          () =>
+            putOnboardingProgress({
+              mode_intent: "pro",
+              setup_step: "model",
+              model_profile_id: modelProfileId.current,
+            }),
+          selectionStillCurrent,
+        );
+        if (!selectionStillCurrent()) return;
+        modelProfileId.current = savedProgress.model_profile_id;
+        enterModelStep();
+        return;
+      }
+      leaveModelStep("lite", "mode");
+      const liteStillCurrent = () =>
+        alive.current &&
+        !finished.current &&
+        intentRef.current === "lite" &&
+        setupStepRef.current === "mode";
+      await queueProgressWrite(
+        () =>
+          putOnboardingProgress({
+            mode_intent: "lite",
+            setup_step: "mode",
+            model_profile_id: null,
+          }),
+        liteStillCurrent,
+      );
+      if (!alive.current) return;
+      const changed = await queueModeWrite("lite");
+      if (!alive.current) return;
+      commitConfirmedMemoryMode(changed.mode, modeTicket);
+      await leave(modeDestination);
+    } catch (reason) {
+      if (isCompletedProgressConflict(reason)) {
+        finishOnce(modeDestination);
+      } else if (alive.current) {
+        setModeError("模式未能保存。你的选择已保留，请重试。");
+      }
+    } finally {
+      if (alive.current) setModeSaving(false);
+    }
+  }, [
+    enterModelStep,
+    leave,
+    leaveModelStep,
+    modeChoice,
+    modeDestination,
+    modeSaving,
+    finishOnce,
+    queueModeWrite,
+    queueProgressWrite,
+  ]);
+
+  const persistModelProfile = useCallback(
+    async (profileId: string) => {
+      modelProfileId.current = profileId;
+      try {
+        await queueProgressWrite(() =>
+          patchOnboardingProgress({ model_profile_id: profileId }),
+        );
+      } catch (reason) {
+        if (!isCompletedProgressConflict(reason) && alive.current)
+          setModeError("模型配置已保存，但恢复进度未能保存。请重试当前步骤。");
+      }
+    },
+    [queueProgressWrite],
+  );
+
+  const confirmProMode = useCallback(
+    async (token: number, ownerProfileId: string) => {
+      const ownsModelStep = () =>
+        alive.current &&
+        !finished.current &&
+        modelGeneration.current === token &&
+        intentRef.current === "pro" &&
+        setupStepRef.current === "model" &&
+        modelProfileId.current === ownerProfileId;
+      if (!ownsModelStep()) return;
+      setModeSaving(true);
+      setModeError(null);
+      const modeTicket = issueConfirmedModeTicket("onboarding");
+      try {
+        const plan = await planMemoryMode("pro");
+        if (!ownsModelStep()) return;
+        if (plan.blockers.length > 0) throw new Error(plan.blockers.join(","));
+        const changed = await queueModeWrite("pro", ownsModelStep);
+        if (!ownsModelStep()) return;
+        commitConfirmedMemoryMode(changed.mode, modeTicket);
+        await queueProgressWrite(
+          () =>
+            putOnboardingProgress({
+              mode_intent: "pro",
+              setup_step: "model",
+              model_profile_id: ownerProfileId,
+            }),
+          ownsModelStep,
+        );
+        if (!ownsModelStep()) return;
+        await persistFinish(modeDestination);
+      } catch (reason) {
+        if (isCompletedProgressConflict(reason)) {
+          finishOnce(modeDestination);
+        } else if (alive.current && !isGenerationInvalid(reason))
+          setModeError("Pro 模式未能确认保存。模型配置已保留，请重试。");
+      } finally {
+        if (alive.current) setModeSaving(false);
+      }
+    },
+    [
+      finishOnce,
+      modeDestination,
+      persistFinish,
+      queueModeWrite,
+      queueProgressWrite,
+    ],
+  );
+
   async function checkLocations() {
     if (flight.current || locked) return;
     flight.current = true;
@@ -636,7 +964,7 @@ export function OnboardingFlow({
     return (
       <>
         <div
-          hidden={modelStep}
+          hidden={setupStep !== "review"}
           data-import-submission={startingImport ? "pending" : "settled"}
         >
           <FirstImportReview
@@ -663,6 +991,10 @@ export function OnboardingFlow({
             error={error && text(error)}
             onContinue={(destination) => {
               if (busy === "leaving") return;
+              if (completionFailed) {
+                void leave(destination);
+                return;
+              }
               const selection = {
                 hostSourceIds: hostConnectionAvailable
                   ? [...activeDraft.hostSourceIds]
@@ -676,9 +1008,8 @@ export function OnboardingFlow({
               setApplyTick((value) => value + 1);
               if (destination === "settings") {
                 setModelSourceIds([...sourceIds]);
-                setVisitedModel(true);
-                setModelStep(true);
-              } else void leave(destination);
+              }
+              requestModeChoice(destination);
             }}
             recovery={
               completionFailed && exitDestination
@@ -690,14 +1021,129 @@ export function OnboardingFlow({
             }
           />
         </div>
+        {setupStep === "mode" && (
+          <R6ColdStartFrame
+            step={3}
+            title={text("选择记忆模式")}
+            eyebrow={text("最后一步 · 决定如何处理对话")}
+            focusToken={modeFocusToken}
+            footer={
+              <>
+                <R6Button
+                  variant="quiet"
+                  disabled={modeSaving || busy === "leaving"}
+                  onClick={() => {
+                    setModeError(null);
+                    intentRef.current = modeChoice;
+                    setupStepRef.current = "review";
+                    setSetupStep("review");
+                    void queueProgressWrite(() =>
+                      patchOnboardingProgress({
+                        mode_intent: modeChoice,
+                        setup_step: "review",
+                      }),
+                    ).catch((reason) => {
+                      if (!isCompletedProgressConflict(reason) && alive.current)
+                        setModeError(
+                          "恢复进度未能保存。你的选择已保留，请重试。",
+                        );
+                    });
+                  }}
+                >
+                  {text("返回导入")}
+                </R6Button>
+                <R6Button
+                  className="onboarding-r6-submit"
+                  variant="primary"
+                  pending={modeSaving}
+                  disabled={
+                    !modeChoice ||
+                    busy === "leaving" ||
+                    (modeChoice === "lite" && flight.current)
+                  }
+                  onClick={() => void saveModeChoice()}
+                >
+                  {text(
+                    modeSaving
+                      ? "正在保存…"
+                      : modeChoice === "lite"
+                        ? "使用 Lite 进入"
+                        : modeChoice === "pro"
+                          ? "继续配置模型"
+                          : "继续",
+                  )}
+                </R6Button>
+              </>
+            }
+          >
+            <section
+              className="onboarding-r6-mode"
+              aria-labelledby="onboarding-memory-mode-title"
+            >
+              <div className="onboarding-r6-mode-intro">
+                <p id="onboarding-memory-mode-title">
+                  {text("之后可在设置中更改。")}
+                </p>
+              </div>
+              <MemoryModeChoiceList
+                aria-label={text("记忆模式")}
+                modes={[
+                  {
+                    mode: "lite",
+                    title: "Lite",
+                    description: text(
+                      "无需模型，只保存并检索原始对话，不生成提炼记忆。",
+                    ),
+                  },
+                  {
+                    mode: "pro",
+                    title: "Pro",
+                    description: text(
+                      "使用模型理解对话，提取并整理可持续生长的记忆。",
+                    ),
+                  },
+                ]}
+                selected={modeChoice}
+                disabled={modeSaving || busy === "leaving"}
+                recommended={{ mode: "pro", badge: text("推荐") }}
+                onChange={(mode) => {
+                  modeChoiceTouched.current = true;
+                  setModeChoice(mode as OnboardingMemoryMode);
+                  setModeError(null);
+                }}
+              />
+              <p className="onboarding-r6-mode-ultra-note">
+                {text("Ultra 可在完成首次设置后到设置页开启。")}
+              </p>
+              {(modeError || error) && (
+                <p className="onboarding-r6-mode-error" role="alert">
+                  {text(modeError ?? error ?? "")}
+                </p>
+              )}
+            </section>
+          </R6ColdStartFrame>
+        )}
         {visitedModel && (
-          <div hidden={!modelStep}>
+          <div hidden={setupStep !== "model"}>
             <OnboardingModelController
+              generationToken={modelGenerationToken}
+              isGenerationCurrent={(token) =>
+                modelGeneration.current === token &&
+                intentRef.current === "pro" &&
+                setupStepRef.current === "model"
+              }
+              initialProfileId={modelProfileId.current}
+              flowError={modeError}
               connectionAlreadyApplied={
                 connectionApplication === "applied" ||
                 connectionApplication === "partial"
               }
-              onEnabled={() => void leave("sources")}
+              onProfilePersisted={(profileId) =>
+                void persistModelProfile(profileId)
+              }
+              onModelActiveConfirmed={(token, ownerProfileId) =>
+                void confirmProMode(token, ownerProfileId)
+              }
               sourceNames={sourceIds.map(
                 (id) =>
                   imports.sources.find((source) => source.source_id === id)
@@ -709,8 +1155,20 @@ export function OnboardingFlow({
                   (total, source) => total + source.imported_conversations,
                   0,
                 )}
-              onBack={() => setModelStep(false)}
-              onSkip={() => void leave("sources")}
+              onBack={() => {
+                setModeError(null);
+                leaveModelStep("pro", "mode");
+                void queueProgressWrite(() =>
+                  putOnboardingProgress({
+                    mode_intent: "pro",
+                    setup_step: "mode",
+                    model_profile_id: modelProfileId.current,
+                  }),
+                ).catch((reason) => {
+                  if (!isCompletedProgressConflict(reason) && alive.current)
+                    setModeError("恢复进度未能保存。你的选择已保留，请重试。");
+                });
+              }}
             />
           </div>
         )}
@@ -763,7 +1221,7 @@ export function OnboardingFlow({
           <R6Button
             variant="quiet"
             disabled={locked}
-            onClick={() => void leave("sources")}
+            onClick={() => requestModeChoice("sources")}
           >
             {text("稍后添加，先进入")}
           </R6Button>