Merge remote-tracking branch 'origin/main' into fix/lite-bounded-pro-map

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

# Conflicts:
#	memhub/apps/web/src/api.raw.test.ts

CHANGELOG.md

@@ -4,56 +4,84 @@ 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 host capture hooks no longer write the database. `one-memory
+  capture <host>` used to open the main SQLite file from its own short-lived
+  process on every hook, re-create the retired `evidence` / FTS tables on an
+  SDK-authority home and write the write queue outside Core's single writer,
+  contending for the file lock with Core and with other hosts' hooks. It now
+  reads only the runtime receipt and token and posts the hook's JSON to the
+  running Core (`POST /api/v1/live-capture/{source}`, 1.5 s budget). Core
+  applies the same gates (grant, sync switch, rejection counting, automated
+  sessions, the Cursor/Claude Code rule; the migration fence stays on the hook
+  side) and stages the turn in-process through the live file-sync path. When
+  Core is not running the turn is dropped silently; nothing falls back to a
+  local write.
+- MemHub no longer sends one turn to the SDK twice when a host's hook and live
+  file sync both see it. The two lanes gave the same message different
+  identities (the hook carries no workspace and often no message id) and
+  separate assembly rows, so both were written as raws. Hook input for a
+  source that live sync reads from its own files (every hooked host except
+  Qwen Work, while live sync is on) is now left to the file path; only a
+  source without file polling is staged from its hook. Tables an older hook
+  re-created on an SDK home are dropped by the existing startup cleanup.
 
-- 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 2.0.14 — 2026-11-04
 
-- 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.
+- `search()` / `async_search()` take an optional `statuses` for explicit
+  L1_RAW search (`layers=["l1_raw"]`, or any search in lite mode), e.g.
+  `statuses=["active", "shadow"]`, so raw turns a pro extraction already
+  shadowed can still be searched. Default stays active-only. Raw hits now
+  report their real `status`. Passing `statuses` to a non-raw search or to
+  `scene="all"` raises `ValueError` instead of being ignored.
+
+## Hy Memory 2.0.13 — 2026-11-02
+
+- 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
 
@@ -75,16 +103,71 @@ Hy Memory and MemHub are versioned and released independently.
   like the other feature switches. The API answer gains `parameters`, and
   `pipeline.features` can now carry the threshold as a number. Refs #241.
 
-## MemHub 1.0.6 — 2026-11-02
+## MemHub 1.0.6 — 2026-11-04
 
-Build 37, on `hy-memory==2.0.11`. Linux x64/arm64 Runtime and macOS arm64
+Build 44, on `hy-memory==2.0.14`. Linux x64/arm64 Runtime and macOS arm64
 App and Runtime.
 
+- 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 pins `hy-memory==2.0.14`. Lite search is plain RAG over raw: the
+  App's lite search, CLI context search, `/api/v1/recall` and the Host Bridge
+  (`MemHub_recall`, context search) return every vector hit above the floor,
+  ranked by score, over active and shadow raws, so history pro already
+  processed is still found after switching to lite. The turn view no longer
+  drops a hit whose turns do not literally contain the query; it shows the
+  hit's closest turn instead. Pro and ultra raw search stays active-only.
+  Fixes every raw search failing in packaged builds since #316, which passed
+  `statuses` to an SDK (2.0.13) that did not accept it. The lite raw-turn
+  page also stops re-listing the whole raw layer on each poll when a live
+  session only adds new raws.
+- MemHub Core no longer stalls writes or freezes the App for tens of seconds
+  on a machine with a long live-sync history. Finished live-sync import jobs
+  are pruned to the newest 20 per source (at startup, in bounded batches, and
+  every 10 minutes); history imports and every unfinished job are kept. Job
+  lookups are filtered in SQL with new indexes (schema migration 63) instead
+  of reading the whole table. The durable write queue runs its claims,
+  settles and lease renewals on its own threads, so import work can no longer
+  starve a lease. Import abandon, resume and enqueue, and the file watcher's
+  path attribution, no longer touch the database or the disk on the event
+  loop, and the WAL cadence checkpoint runs on its own thread instead of on
+  the writer's. The write drain now restarts itself after an unexpected exit,
+  reports the failure with its stack, and shows `write_drain` /
+  `write_drain_error` in memory-processing and `memhub status`.
+- Model Center (#293, #295): Settings splits into 界面语言 / 记忆模式 /
+  模型配置 pages, with separate 记忆整理 (generation) and 记忆搜索
+  (embedding) lanes. Changing one lane sends only that lane's patch. An
+  embedding change shows the switch plan, confirmation, progress, cancel and
+  rollback, and the search model only changes after the rebuilt index is
+  verified. Model panels open inside the lane that launched them and close
+  only after Core confirms the profile is active (#310).
+- Lite keeps raw conversations (#297): lite raw writes are no longer stopped
+  by the "pause model sedimentation" switch, the memory page lists every
+  imported raw conversation by role (by turn since #316), and lite adds a
+  manual raw input (source `one-memory-manual`) that never calls a
+  generation model.
+- The home page follows the memory mode (#298): lite counts raw
+  conversations and previews the latest one; pro and ultra read memories.
+  Pro and ultra now require an active generation model, in both the mode
+  preview and the switch.
+- Onboarding (#304) asks for lite or pro and resumes after a restart (schema
+  migration 62); pro finishes only once a generation model is active.
+- Smaller App fixes: compact home status copy (#307), clearer mode-switch
+  effects (#312), Ultra topic nodes are hover-only (#315), and settings
+  controls use the content width (#317).
 - 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 +180,52 @@ 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==2.0.14`**. 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==2.0.14`**。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==2.0.14`。MemHub 源码版本为 `1.0.6`
+（build 44），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==2.0.14`。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": "2.0.14",
       "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 2.0.14
 
 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

@@ -109,6 +109,39 @@ describe("status on a paused model", () => {
     });
     expect(renderStatusText(report, "MemHub")).not.toContain("模型暂停");
   });
+
+  it("reports a restarting write drain and its exit code", async () => {
+    const report = await compose({
+      ...processing({ llm_backoff_until: null, llm_backoff_error: null }),
+      write_drain: "restarting",
+      write_drain_error: "operational_error",
+    });
+    expect(report.sections.processing).toMatchObject({
+      write_drain: "restarting",
+      write_drain_error: "operational_error",
+    });
+    const text = renderStatusText(report, "MemHub");
+    expect(text).toContain(
+      "写入队列：异常退出（operational_error），正在自动重启",
+    );
+    expect(text).not.toContain("write_drain");
+  });
+
+  it("says nothing about a running drain and nulls what an older Core omits", async () => {
+    const running = await compose({
+      ...processing({ llm_backoff_until: null, llm_backoff_error: null }),
+      write_drain: "running",
+      write_drain_error: null,
+    });
+    expect(renderStatusText(running, "MemHub")).not.toContain("写入队列");
+    const older = await compose(
+      processing({ llm_backoff_until: null, llm_backoff_error: null }),
+    );
+    expect(older.sections.processing).toMatchObject({
+      write_drain: null,
+      write_drain_error: null,
+    });
+  });
 });
 
 describe("status and doctor on an unfinished upgrade migration", () => {
@@ -147,3 +180,140 @@ 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：${pipelineLine(report.pipeline)}`);
@@ -322,6 +323,8 @@ export function renderStatusText(
   if (embeddingSwitch !== null) lines.push(`向量模型：${embeddingSwitch}`);
   const backoff = modelBackoffLine(report.sections.processing);
   if (backoff !== null) lines.push(backoff);
+  const drain = writeDrainLine(report.sections.processing);
+  if (drain !== null) lines.push(drain);
   if (report.summary.state === "partial") {
     const notes = [
       report.summary.degraded.length > 0
@@ -352,6 +355,20 @@ function modelBackoffLine(section: Section | undefined): string | null {
   }`;
 }
 
+/** The durable write drain, when it is not simply running: it exited on an
+ * error and is coming back (`restarting`), or it is not running at all. */
+function writeDrainLine(section: Section | undefined): string | null {
+  if (section?.state !== "ok") return null;
+  const state = section.write_drain;
+  if (state !== "restarting" && state !== "stopped") return null;
+  const error = section.write_drain_error;
+  const reason =
+    typeof error === "string" && error.length > 0 ? `（${error}）` : "";
+  return state === "restarting"
+    ? `写入队列：异常退出${reason}，正在自动重启`
+    : `写入队列：已停止${reason}`;
+}
+
 export function pipelineLine(pipeline: PipelineSummary): string {
   const parts: string[] = [pipeline.mode];
   if (pipeline.forced_by_env)
@@ -409,8 +426,19 @@ const SECTION_LINE_OMITTED = new Set([
   "embedding_switch",
   "llm_backoff_until",
   "llm_backoff_error",
+  "write_drain",
+  "write_drain_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 +490,10 @@ 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;
 }
@@ -535,6 +567,7 @@ function describeProcessing(
     })),
     suspended: typeof summary.suspended === "number" ? summary.suspended : 0,
     ...llmBackoffFields(summary),
+    ...writeDrainFields(summary),
     ...embeddingSwitchField(summary),
   };
 }
@@ -555,6 +588,24 @@ function llmBackoffFields(summary: MemoryProcessingSummary): {
   };
 }
 
+/** Durable write drain liveness. Null when Core does not report it (older
+ * Core, or recovery has not started the drain yet). */
+function writeDrainFields(summary: MemoryProcessingSummary): {
+  write_drain: "running" | "restarting" | "stopped" | null;
+  write_drain_error: string | null;
+} {
+  const state = summary.write_drain;
+  const error = summary.write_drain_error;
+  return {
+    write_drain:
+      state === "running" || state === "restarting" || state === "stopped"
+        ? state
+        : null,
+    write_drain_error:
+      typeof error === "string" && /^[a-z_]{1,64}$/.test(error) ? error : null,
+  };
+}
+
 /** The running switch or merge, projected; absent when none runs. */
 function embeddingSwitchField(
   summary: MemoryProcessingSummary,
@@ -595,6 +646,70 @@ 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==2.0.14",
     # 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/background_work.py

@@ -20,6 +20,15 @@ SOURCE_READER_WORKERS = 4
 SDK_WRITE_WORKERS = 12
 # Recall's SDK reads: one search and the `get`s behind it (`_SDK_GET_CONCURRENCY`).
 SDK_READ_WORKERS = 8
+# The durable write queue's own bookkeeping: claim, settle, the per-job reads
+# around an SDK write, and the drain's maintenance passes. Each is one short
+# statement on the single writer or a reader; the drain runs at most
+# `max_concurrent_sources` jobs, and they wait for the writer, not for CPU.
+DURABLE_QUEUE_WORKERS = 4
+# Lease renewal alone. Renewal is the drain's ownership fence: a lease that
+# lapses while its SDK write is still running hands the job to recovery, so it
+# must never wait for a thread behind any other work, its own queue's included.
+LEASE_RENEWAL_WORKERS = 2
 
 _pool: ThreadPoolExecutor | None = None
 _snapshot_pool: ThreadPoolExecutor | None = None
@@ -28,6 +37,8 @@ _raw_read_pool: ThreadPoolExecutor | None = None
 _memory_read_pool: ThreadPoolExecutor | None = None
 _source_reader_pool: ThreadPoolExecutor | None = None
 _sdk_write_pool: ThreadPoolExecutor | None = None
+_durable_queue_pool: ThreadPoolExecutor | None = None
+_lease_renewal_pool: ThreadPoolExecutor | None = None
 _warmed_readers: weakref.WeakSet[ThreadPoolExecutor] = weakref.WeakSet()
 _reader_warm_lock = threading.Lock()
 _interactive_reads = 0
@@ -109,6 +120,35 @@ def sdk_write_pool() -> ThreadPoolExecutor:
     return _sdk_write_pool
 
 
+def durable_queue_pool() -> ThreadPoolExecutor:
+    """The durable write queue's database work, apart from bulk work.
+
+    The queue used to hand its claims, settles and maintenance to the bulk
+    pool, whose three threads also carry import heartbeats and job listings.
+    Under an import peak all three sat in those for tens of seconds, and the
+    queue's next statement waited for a thread before it could even join the
+    writer's line, and leases lapsed while their SDK writes were still running.
+    """
+    global _durable_queue_pool
+    if _durable_queue_pool is None:
+        _durable_queue_pool = ThreadPoolExecutor(
+            max_workers=DURABLE_QUEUE_WORKERS,
+            thread_name_prefix="one-memory-write-queue",
+        )
+    return _durable_queue_pool
+
+
+def lease_renewal_pool() -> ThreadPoolExecutor:
+    """Threads that only renew durable write leases (`DurableWriteDrain.renew`)."""
+    global _lease_renewal_pool
+    if _lease_renewal_pool is None:
+        _lease_renewal_pool = ThreadPoolExecutor(
+            max_workers=LEASE_RENEWAL_WORKERS,
+            thread_name_prefix="one-memory-lease-renewal",
+        )
+    return _lease_renewal_pool
+
+
 def source_reader_pool() -> ThreadPoolExecutor:
     """Bounded process-wide pool for source iteration and parsing."""
     global _source_reader_pool
@@ -128,9 +168,21 @@ def warm_bulk_pool() -> None:
     Starting a thread is nothing on an idle machine and 2.5 seconds on a busy
     one, which is precisely when bulk work is being handed over. So it is
     done here instead, at startup, before there is anything to be late for.
+
+    The durable write queue's pools are warmed here too, for the same reason:
+    their first renewal must not pay for starting a thread.
     """
-    pool = bulk_pool()
-    started = tuple(threading.Event() for _ in range(BULK_WORKERS))
+    _start_every_worker(bulk_pool(), BULK_WORKERS, "bulk_pool_warmup_timeout")
+    _start_every_worker(
+        durable_queue_pool(), DURABLE_QUEUE_WORKERS, "durable_queue_pool_warmup_timeout"
+    )
+    _start_every_worker(
+        lease_renewal_pool(), LEASE_RENEWAL_WORKERS, "lease_renewal_pool_warmup_timeout"
+    )
+
+
+def _start_every_worker(pool: ThreadPoolExecutor, workers: int, timeout_code: str) -> None:
+    started = tuple(threading.Event() for _ in range(workers))
     release = threading.Event()
 
     def occupy(marker: threading.Event) -> None:
@@ -146,7 +198,7 @@ def warm_bulk_pool() -> None:
     try:
         for marker in started:
             if not marker.wait(10):
-                raise RuntimeError("bulk_pool_warmup_timeout")
+                raise RuntimeError(timeout_code)
     finally:
         release.set()
     for future in futures:
@@ -228,6 +280,38 @@ async def in_sdk_write[T](
     )
 
 
+async def in_the_write_queue[T](
+    work: Callable[..., T],
+    /,
+    *args: object,
+    **kwargs: object,
+) -> T:
+    """One durable write queue statement, in the queue's pool (`durable_queue_pool`).
+
+    It still goes through the one writer and its line, like every write; what
+    it no longer does is wait for a bulk thread first.
+    """
+    return await asyncio.get_running_loop().run_in_executor(
+        durable_queue_pool(),
+        copy_context().run,
+        partial(work, *args, **kwargs),
+    )
+
+
+async def in_lease_renewal[T](
+    work: Callable[..., T],
+    /,
+    *args: object,
+    **kwargs: object,
+) -> T:
+    """One lease renewal, in the threads kept for nothing else (`lease_renewal_pool`)."""
+    return await asyncio.get_running_loop().run_in_executor(
+        lease_renewal_pool(),
+        copy_context().run,
+        partial(work, *args, **kwargs),
+    )
+
+
 def _retrieve[T](future: "asyncio.Future[T]") -> None:
     """Mark a shielded read's outcome as seen.
 
@@ -314,7 +398,13 @@ def _warm_reader_pool(reader: ThreadPoolExecutor) -> None:
 
 def shutdown_bulk_pool() -> None:
     global _pool, _snapshot_pool, _interactive_pool, _raw_read_pool, _memory_read_pool
-    global _source_reader_pool, _sdk_write_pool
+    global _source_reader_pool, _sdk_write_pool, _durable_queue_pool, _lease_renewal_pool
+    if _durable_queue_pool is not None:
+        _durable_queue_pool.shutdown(wait=False, cancel_futures=True)
+        _durable_queue_pool = None
+    if _lease_renewal_pool is not None:
+        _lease_renewal_pool.shutdown(wait=False, cancel_futures=True)
+        _lease_renewal_pool = None
     if _sdk_write_pool is not None:
         _sdk_write_pool.shutdown(wait=False, cancel_futures=True)
         _sdk_write_pool = None

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

@@ -0,0 +1,133 @@
+"""The hook side of live capture: hand the turn to the running Core, nothing more.
+
+A host runs `one-memory capture <source>` as a short-lived process on every
+hook, often several at once. That process used to open the main database
+itself and write Evidence and the write queue from outside Core's single
+writer. It now never opens the database: it reads the hook's JSON, posts it to
+the running Core over loopback with the runtime token, and exits. Core applies
+every gate and stages the turn in-process (`live_capture.capture_hook`).
+
+Anything that goes wrong — Core not running, a stale receipt, a slow answer —
+drops the turn silently. There is no local fallback write: file-backed sources
+are read again by live sync from their persisted cursor once Core is back.
+"""
+
+import json
+import os
+from pathlib import Path
+from typing import TextIO
+
+CAPTURE_SOURCES = frozenset(
+    {
+        "workbuddy",
+        "claude-code",
+        "codex",
+        "cursor",
+        "pi",
+        "qwen-code",
+        "qwenwork",
+        "hermes",
+        "deepseek-harness",
+        "opencode",
+        "openclaw",
+    }
+)
+SDK_MIGRATION_CAPTURE_FENCE = ".sdk-migration-capture-fence.json"
+#: Core's in-process intake for a hook's payload; see `live_capture`.
+CAPTURE_ROUTE = "/api/v1/live-capture/{source_id}"
+#: Whole request, connect to answer. Pi and OpenCode wait for the hook
+#: synchronously (3 s, interpreter start included), so this stays well under.
+HANDOFF_TIMEOUT_SECONDS = 1.5
+#: A hook carries one turn, or one session's visible text at most.
+MAX_PAYLOAD_BYTES = 8 * 1024 * 1024
+
+
+def data_directory() -> Path:
+    from one_memory.config import load_settings
+
+    return load_settings().data_dir
+
+
+def capture_stdio(source_id: str, stdin: TextIO, output: TextIO) -> int:
+    """Host hooks must stay silent. A bad payload or an absent Core does not fail the turn."""
+
+    del output
+    if source_id not in CAPTURE_SOURCES:
+        return 2
+    try:
+        data_dir = data_directory()
+        if sdk_migration_capture_fenced(data_dir):
+            return 0
+        payload = json.loads(stdin.read() or "")
+    except Exception:
+        return 0
+    if not isinstance(payload, dict):
+        return 0
+    try:
+        hand_to_core(source_id, payload, data_dir)
+    except Exception:
+        return 0
+    return 0
+
+
+def hand_to_core(
+    source_id: str,
+    payload: dict[str, object],
+    data_dir: Path,
+    *,
+    timeout: float = HANDOFF_TIMEOUT_SECONDS,
+) -> bool:
+    """Post the payload to the Core named by this home's receipt. True when Core took it.
+
+    Only the receipt, the runtime token and a loopback socket are touched; the
+    main database is never opened from here.
+    """
+    from one_memory.runtime_client import core_endpoint
+
+    endpoint = core_endpoint(data_dir)
+    if endpoint is None:
+        return False
+    body = json.dumps(payload, ensure_ascii=False).encode("utf-8")
+    if len(body) > MAX_PAYLOAD_BYTES:
+        return False
+    from one_memory.http_client import create_client
+
+    with create_client(timeout=timeout) as client:
+        response = client.post(
+            f"http://{endpoint.host}:{endpoint.port}{CAPTURE_ROUTE.format(source_id=source_id)}",
+            content=body,
+            headers={
+                "Authorization": f"Bearer {endpoint.token}",
+                "Content-Type": "application/json",
+            },
+        )
+    return response.status_code == 202
+
+
+def sdk_migration_capture_fenced(data_dir: Path) -> bool:
+    """Ignore stale fences; a live migration or a failed one pauses hook writes.
+
+    A failed upgrade migration leaves the fence `frozen` (no pid): the home was
+    put back as it was before the upgrade and takes no writes until the next
+    migration attempt, which replaces the fence and lifts it on success.
+    """
+    marker = data_dir / SDK_MIGRATION_CAPTURE_FENCE
+    try:
+        document = json.loads(marker.read_text(encoding="utf-8"))
+        if isinstance(document, dict) and document.get("frozen") is True:
+            return True
+        pid = int(document["pid"])
+        if pid < 1:
+            raise ValueError("invalid migration fence pid")
+        os.kill(pid, 0)
+        return True
+    except FileNotFoundError:
+        return False
+    except ProcessLookupError:
+        marker.unlink(missing_ok=True)
+        return False
+    except PermissionError:
+        return True
+    except (KeyError, TypeError, ValueError, json.JSONDecodeError, OSError):
+        marker.unlink(missing_ok=True)
+        return False

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

@@ -119,7 +119,7 @@ def run(arguments: Sequence[str], *, output: TextIO | None = None) -> int:
     if command == "sdk-migration-status":
         return sdk_migration_status(options, stream)
     if command == "capture" and len(options) == 1:
-        from one_memory.live_capture import capture_stdio
+        from one_memory.capture_handoff import capture_stdio
 
         return capture_stdio(options[0], sys.stdin, stream)
     if command not in {"status", "doctor"} or options not in ([], ["--json"]):

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

@@ -11,14 +11,14 @@ from one_memory.context_models import ContextSearchRequest
 from one_memory.external_memory_access import ExternalMemoryAccess
 from one_memory.memory_server.store_binding import store_for
 
-#: The revoked-source query, per engine.
+#: The connected-source query, per engine.
 #:
 #: Identical text today because it uses no placeholders and reads by position,
 #: which both engines support. Kept as a named constant so that adding a
 #: parameter later forces the `?`/`%s` difference to be considered here rather
 #: than being introduced silently at the call site.
-REVOKED_SOURCES_SQL = (
-    "SELECT source_id FROM source_grants WHERE user_id='local' AND revoked_at IS NOT NULL"
+CONNECTED_SOURCES_SQL = (
+    "SELECT DISTINCT source_id FROM source_grants WHERE user_id='local' AND revoked_at IS NULL"
 )
 
 
@@ -49,16 +49,10 @@ def resolve_context_authority(
         scope for scope in access.scopes if scope == "all-apps" or scope.startswith("workspace:v1:")
     )
     memory_allowed = memory_requested and "om_recall" in access.tools and bool(memory_scopes)
-    declared_sources = frozenset(
-        scope.removeprefix("source:") for scope in access.scopes if scope.startswith("source:")
-    )
     raw_allowed = (
-        raw_requested
-        and "om_conversations" in access.tools
-        and "all-apps" in access.scopes
-        and bool(declared_sources)
+        raw_requested and "om_conversations" in access.tools and "all-apps" in access.scopes
     )
-    if explicit is not None and (not raw_allowed or not explicit <= declared_sources):
+    if explicit is not None and not raw_allowed:
         raise HTTPException(403, "external_context_scope_denied")
 
     raw_sources: frozenset[str] = frozenset()
@@ -70,10 +64,10 @@ def resolve_context_authority(
             # the same code runs on both engines without a branch per engine.
             if hasattr(db, "set_progress_handler"):
                 db.set_progress_handler(lambda: int(time.monotonic() >= deadline), 1000)
-            revoked = frozenset(str(row[0]) for row in db.execute(REVOKED_SOURCES_SQL))
+            connected = frozenset(str(row[0]) for row in db.execute(CONNECTED_SOURCES_SQL))
         if time.monotonic() >= deadline:
             raise TimeoutError
-        raw_sources = declared_sources - revoked
+        raw_sources = connected
         if explicit is not None:
             if not explicit <= raw_sources:
                 raise HTTPException(403, "external_context_scope_denied")

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

@@ -1,6 +1,7 @@
 """Authenticated SDK context search route, without generation or reindex side effects."""
 
 import asyncio
+import logging
 import time
 from collections.abc import Sequence
 from datetime import UTC, datetime
@@ -30,11 +31,14 @@ 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, turns_for_hit
 from one_memory.sdk_search_options import SdkSearchFilters, SearchLane
 from one_memory.semantic_deadline import SemanticMemoryHit
 from one_memory.user_scope import owns
 
 CALL_EVENT_RESPONSE_BUDGET_MS = 250
+SDK_CONTEXT_CONTENT_LIMIT = 20_000
+logger = logging.getLogger(__name__)
 
 #: Pass-through filters the raw lane honours. Scene, layers, reader and the
 #: schema/working floors describe memory lanes; the raw lane is always the
@@ -70,6 +74,18 @@ def raw_lane_overrides(value: SdkSearchFilters) -> dict[str, object]:
     return found
 
 
+def raw_lane_statuses(*, lite: bool) -> dict[str, list[str]]:
+    """Which raw statuses the raw lane searches.
+
+    Lite extracts nothing, so its search is plain RAG over every raw,
+    including the shadow raws pro already processed before the switch to
+    lite. Pro and ultra keep the SDK default (active only): a shadow raw is
+    already represented by the memories extracted from it, and returning it
+    again would repeat that content in the caller's context budget.
+    """
+    return {"statuses": ["active", "shadow"]} if lite else {}
+
+
 def hit_namespace(hit: SemanticMemoryHit) -> dict[str, str]:
     """The `get` namespace of a hit: nothing for chat, kind and variant otherwise."""
     if hit.kind in {"experience", "fact"} and hit.variant is not None:
@@ -77,6 +93,13 @@ def hit_namespace(hit: SemanticMemoryHit) -> dict[str, str]:
     return {}
 
 
+def bounded_context_content(content: str) -> tuple[str, bool]:
+    """Fit SDK text into its wire contract before Pydantic validates it."""
+    if len(content) <= SDK_CONTEXT_CONTENT_LIMIT:
+        return content, False
+    return content[:SDK_CONTEXT_CONTENT_LIMIT], True
+
+
 def sdk_context_router(dependencies: Sequence[Depends]) -> APIRouter:
     """SDK-native context: no Evidence/Governance ids or fabricated revisions."""
     router = APIRouter(prefix="/api/v2/context", dependencies=dependencies)
@@ -120,6 +143,9 @@ def sdk_context_router(dependencies: Sequence[Depends]) -> APIRouter:
             sources = raw_lane_sources(authority.raw_sources, value.include_sources)
             if sources is None:
                 return ()
+            # Plain RAG: every vector hit over the floor is an answer, ranked
+            # by its score. Each hit yields at least one item, so the SDK
+            # needs to return no more hits than the caller's limit.
             raw = await asyncio.to_thread(
                 client.search,
                 value.query,
@@ -135,27 +161,65 @@ def sdk_context_router(dependencies: Sequence[Depends]) -> APIRouter:
                     "scene": "chat",
                     "reader": HY_MEMORY_READER,
                     "layers": ["l1_raw"],
+                    **raw_lane_statuses(lite=lite),
                     **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,
+            # One item per hit first, so a hit is never crowded out by another
+            # hit's sibling turns; the siblings fill whatever room is left.
+            primary: list[SdkRawContextItem] = []
+            siblings: list[SdkRawContextItem] = []
+            for hit in hits:
+                memory_at = (
+                    datetime.fromtimestamp(hit.memory_at, tz=UTC)
+                    if hit.memory_at is not None
+                    else None
                 )
-                for hit in hits
-            )
+                turns = raw_display_turns(hit) if value.raw_unit == "turn" else ()
+                if not turns:
+                    content, truncated = bounded_context_content(hit.content)
+                    primary.append(
+                        SdkRawContextItem(
+                            raw_id=hit.raw_id,
+                            content=content,
+                            source=hit.source,
+                            session_id=hit.session_id,
+                            memory_at=memory_at,
+                            score=hit.score,
+                            truncated=truncated,
+                        )
+                    )
+                    continue
+                # The embedding is the batch's: the hit is shown by the turns
+                # that contain the query, or else by its closest turn, each
+                # with the hit's score.
+                shown: list[SdkRawContextItem] = []
+                for turn in turns_for_hit(turns, value.query):
+                    content, truncated = bounded_context_content(turn.content)
+                    shown.append(
+                        SdkRawContextItem(
+                            raw_id=hit.raw_id,
+                            turn_id=turn.turn_id,
+                            turn_index=turn.turn_index,
+                            turn_count=turn.turn_count,
+                            content=content,
+                            source=hit.source,
+                            session_id=hit.session_id,
+                            memory_at=memory_at,
+                            score=hit.score,
+                            truncated=truncated,
+                        )
+                    )
+                primary.append(shown[0])
+                siblings.extend(shown[1:])
+            chosen = primary[: value.limit]
+            chosen.extend(siblings[: value.limit - len(chosen)])
+            # Stable: a hit's turns stay together, in hit-score order.
+            chosen.sort(key=lambda item: item.score, reverse=True)
+            return tuple(chosen)
 
         async def memory_lane() -> tuple[SdkMemoryContextItem, ...]:
             # lite extracts nothing: its search answers raw turns, which the
@@ -201,16 +265,15 @@ def sdk_context_router(dependencies: Sequence[Depends]) -> APIRouter:
                     or not owns(memory.user_id, value.user_id)
                 ):
                     continue
+                content, truncated = bounded_context_content(
+                    hit.formatted_content
+                    if hit.sdk_formatted and hit.formatting_complete and hit.formatted_content
+                    else memory.content
+                )
                 items.append(
                     SdkMemoryContextItem(
                         memory_id=memory.memory_id,
-                        content=(
-                            hit.formatted_content
-                            if hit.sdk_formatted
-                            and hit.formatting_complete
-                            and hit.formatted_content
-                            else memory.content
-                        ),
+                        content=content,
                         layer=memory.layer,
                         status=memory.status,
                         source=memory.source,
@@ -220,6 +283,7 @@ def sdk_context_router(dependencies: Sequence[Depends]) -> APIRouter:
                             else None
                         ),
                         score=hit.score,
+                        truncated=truncated,
                     )
                 )
             return tuple(items)
@@ -269,10 +333,45 @@ def sdk_context_router(dependencies: Sequence[Depends]) -> APIRouter:
             if isinstance(lane, EmbeddingUnavailableError):
                 # No lexical fallback: the query could not be embedded.
                 raise HTTPException(503, EMBEDDING_UNAVAILABLE)
-        partial = isinstance(raw_items, Exception) or isinstance(memory_items, Exception)
+        requested_lanes = {
+            "raw": raw_items,
+            "memory": memory_items,
+        }
+        failed_lanes = {
+            name: lane
+            for name, lane in requested_lanes.items()
+            if name in value.kinds and isinstance(lane, Exception)
+        }
+        for name, error in failed_lanes.items():
+            logger.warning(
+                "sdk_context_lane_failed lane=%s error_class=%s",
+                name,
+                type(error).__name__,
+            )
+        all_requested_failed = len(failed_lanes) == len(value.kinds)
+        partial = bool(failed_lanes)
         raw_candidates = (
             () if isinstance(raw_items, Exception) else cast(tuple[SdkContextItem, ...], raw_items)
         )
+        if access is not None and raw_candidates:
+            try:
+                current = await asyncio.to_thread(
+                    resolve_context_authority,
+                    value,
+                    access,
+                    database,
+                    deadline=started + value.timeout_ms / 1000,
+                )
+            except HTTPException:
+                raise
+            except Exception:
+                raise HTTPException(503, "context_authority_unavailable") from None
+            current_sources = current.raw_sources or frozenset()
+            raw_candidates = tuple(
+                item
+                for item in raw_candidates
+                if item.kind == "raw" and item.source in current_sources
+            )
         memory_candidates = (
             ()
             if isinstance(memory_items, Exception)
@@ -298,11 +397,20 @@ def sdk_context_router(dependencies: Sequence[Depends]) -> APIRouter:
             if len(content) > remaining:
                 item = item.model_copy(update={"content": content[:remaining], "truncated": True})
                 truncated = True
+            truncated = truncated or item.truncated
             selected.append(item)
             used += len(item.content)
         final = SdkContextSearchResponse(
             request_id=str(uuid4()),
-            state=("partial" if partial else "grounded" if selected else "empty"),
+            state=(
+                "unavailable"
+                if all_requested_failed
+                else "partial"
+                if partial
+                else "grounded"
+                if selected
+                else "empty"
+            ),
             items=tuple(selected),
             used_characters=used,
             truncated=truncated,

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

@@ -242,6 +242,75 @@ class _InTurn:
             self._line.remove(place)
 
 
+class _Checkpointer:
+    """The one thread that runs cadence checkpoints, for every main database.
+
+    A database asks for at most one checkpoint at a time: a request made
+    while one is already waiting is the same request. The checkpoint goes
+    through the database's own writer, in its line, like any other write.
+    A waiting request holds the database weakly: it must not keep alive a
+    database nobody else holds any more.
+    """
+
+    def __init__(self) -> None:
+        self._state = threading.Condition()
+        self._due: OrderedDict[int, weakref.ref[MainDatabase]] = OrderedDict()
+        self._running = 0
+        self._thread: threading.Thread | None = None
+
+    def request(self, database: "MainDatabase") -> None:
+        with self._state:
+            self._due.setdefault(id(database), weakref.ref(database))
+            if self._thread is None or not self._thread.is_alive():
+                self._thread = threading.Thread(
+                    target=self._run,
+                    name="one-memory-checkpoint",
+                    daemon=True,
+                )
+                self._thread.start()
+            self._state.notify_all()
+
+    def forget(self, database: "MainDatabase") -> None:
+        with self._state:
+            self._due.pop(id(database), None)
+            self._state.notify_all()
+
+    def wait_idle(self, timeout: float) -> bool:
+        """Whether every requested checkpoint has run within `timeout` seconds."""
+        with self._state:
+            return self._state.wait_for(lambda: not self._due and not self._running, timeout)
+
+    def _run(self) -> None:
+        while True:
+            with self._state:
+                self._state.wait_for(lambda: bool(self._due))
+                _key, reference = self._due.popitem(last=False)
+                database = reference()
+                if database is None:
+                    self._state.notify_all()
+                    continue
+                self._running += 1
+            try:
+                database._cadence_checkpoint()
+            except Exception:  # noqa: BLE001 - maintenance must not end the thread
+                logger.warning(
+                    "main_database_checkpoint_failed file=%s", database.path.name, exc_info=True
+                )
+            finally:
+                del database
+                with self._state:
+                    self._running -= 1
+                    self._state.notify_all()
+
+
+_checkpointer = _Checkpointer()
+
+
+def wait_for_cadence_checkpoints(timeout: float = 5.0) -> bool:
+    """Wait for the cadence checkpoints already requested; for tests and shutdown."""
+    return _checkpointer.wait_idle(timeout)
+
+
 def _locked() -> sqlite3.OperationalError:
     # Callers tell a busy database from a broken one by these, as they would
     # for SQLite's own refusal.
@@ -614,13 +683,23 @@ class MainDatabase:
             return None
 
     def _maybe_checkpoint_after_write(self) -> None:
-        """Checkpoint on a write cadence without opening another connection.
+        """Count a write, and hand a due cadence checkpoint to the checkpointer.
 
         SQLite's default autocheckpoint only runs when the writer itself
         crosses the page threshold. Production hit a state where the WAL grew
         to 13GB, so the main database needs its own bounded, observable
-        maintenance path. This runs after the caller's checkout has been reset
-        and only re-enters the same serialized writer queue.
+        maintenance path: every `checkpoint_write_interval()` writes or
+        `MAIN_DATABASE_CHECKPOINT_SECONDS`, whichever comes first.
+
+        The checkpoint itself used to run right here, on the thread that had
+        just written, as one more turn in the writer's line. That thread was
+        an import heartbeat or a durable lease renewal as often as not, and
+        it then waited behind the whole line a second time before it could
+        return. The idle TRUNCATE (#278) cannot replace the cadence: under a
+        sustained import the database is never idle, and that is exactly when
+        the WAL grows. So the cadence stays, and one checkpointer thread runs
+        it (`_Checkpointer`); the writer stays the only connection that
+        writes, and no caller waits for maintenance it did not ask for.
         """
         now = time.monotonic()
         with self._state:
@@ -632,8 +711,12 @@ class MainDatabase:
             if due:
                 self._writes_since_checkpoint = 0
                 self._last_checkpoint_at = now
-        if not due:
-            return
+        if due:
+            _checkpointer.request(self)
+
+    def _cadence_checkpoint(self) -> None:
+        """One PASSIVE checkpoint through the writer, and the WAL alert after it."""
+        now = time.monotonic()
         try:
             busy, log_frames, checkpointed = self._checkpoint_from_maintenance("PASSIVE")
         except sqlite3.Error:
@@ -707,6 +790,8 @@ class MainDatabase:
 
     def close(self) -> None:
         """Close every idle connection now; ones in use close when handed back."""
+        # A checkpoint still waiting would open the writer again after this.
+        _checkpointer.forget(self)
         with self._state:
             self._generation += 1
             self._identity = None

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 = "2.0.14"
 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==2.0.14 is pinned exactly).
     store = CodingMemoryStore.__new__(CodingMemoryStore)
     store._db_path = str(path)
     store._conn = None

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

@@ -376,8 +376,9 @@ def apply_sdk_language(config: MemoryConfig, language: str | None) -> MemoryConf
     """Set the SDK prompt language (`MemoryConfig.language`), when there is one.
 
     None (no language set) sets nothing: the SDK detects zh/en as it always
-    did. Every display language, zh-Hans included, is set explicitly. Like a feature, the language never touches `vector_store`, so
-    the collection identity never depends on it.
+    did. Every display language, zh-Hans included, is set explicitly. Like a
+    feature, the language never touches `vector_store`, so the collection
+    identity never depends on it.
     """
     if language is not None:
         config.language = language

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 +98,8 @@ 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 +121,7 @@ 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 +186,7 @@ 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/discovery.py

@@ -1,6 +1,6 @@
 import hashlib
 import os
-from collections.abc import AsyncIterator, Iterator
+from collections.abc import AsyncIterator, Callable, Iterator
 from dataclasses import dataclass
 from pathlib import Path
 
@@ -28,6 +28,7 @@ def discovered_off_loop(
     suffixes: frozenset[str],
     max_targets: int,
     excluded_directory_names: frozenset[str] = frozenset(),
+    directory_predicate: Callable[[Path], bool] | None = None,
 ) -> AsyncIterator[SourceFileDiscoveryEvent]:
     """The same walk, for callers that have an event loop to keep free.
 
@@ -43,6 +44,7 @@ def discovered_off_loop(
             suffixes=suffixes,
             max_targets=max_targets,
             excluded_directory_names=excluded_directory_names,
+            directory_predicate=directory_predicate,
         ),
         scope_key=grant.source_id,
     )
@@ -54,6 +56,7 @@ def discover_source_files(
     suffixes: frozenset[str],
     max_targets: int,
     excluded_directory_names: frozenset[str] = frozenset(),
+    directory_predicate: Callable[[Path], bool] | None = None,
 ) -> Iterator[SourceFileDiscoveryEvent]:
     """Metadata only: one lstat per candidate, no open and no per-file grant lookup.
 
@@ -71,10 +74,16 @@ def discover_source_files(
         grant.root,
         followlinks=False,
     ):
+        current = Path(directory)
         child_directories[:] = sorted(
             child
             for child in child_directories
-            if not (Path(directory) / child).is_symlink() and child not in excluded_directory_names
+            if not (current / child).is_symlink()
+            and child not in excluded_directory_names
+            and (
+                directory_predicate is None
+                or directory_predicate((current / child).relative_to(grant.root))
+            )
         )
         for filename in sorted(filenames):
             if Path(filename).suffix.lower() not in suffixes:

memhub/apps/core/src/one_memory/imports/jobs.py

@@ -1,6 +1,7 @@
 import logging
 import re
 import sqlite3
+from collections.abc import Iterable
 from contextlib import AbstractContextManager, nullcontext
 from datetime import UTC, datetime
 from enum import StrEnum
@@ -18,13 +19,27 @@ from one_memory.imports.adapters import ScanPhase, SourceCursor
 #: the drift would only surface on a fresh database.
 #:
 #: This runs on SQLite today, so the SQLite rendering is used.
-from one_memory.memory_server.migrations import import_jobs_ddl
+from one_memory.memory_server.migrations import (
+    import_job_lookup_indexes_ddl,
+    import_jobs_ddl,
+)
 
 logger = logging.getLogger("one_memory.imports.jobs")
 
 JOB_SCHEMA = import_jobs_ddl("sqlite")
+#: Migration 63, applied by the store as well so a running home gets it.
+JOB_LOOKUP_INDEXES = import_job_lookup_indexes_ddl("sqlite")
 MAX_LIVE_BACKLOG_BYTES = 256 * 1024
 
+#: Finished live syncs kept per (user, source). Live sync opens a job for every
+#: change it imports, and nothing removed them: hundreds a day on an active
+#: machine. The App shows the latest job per source and the active ones; twenty is
+#: that plus enough recent history to read a failure back.
+SYNC_JOBS_KEPT_PER_SOURCE = 20
+#: Rows one pruning transaction may delete, so it holds the single writer for
+#: a few milliseconds at most however large the table grew.
+PRUNE_BATCH_ROWS = 200
+
 
 class ImportStatus(StrEnum):
     PENDING = "pending"
@@ -36,6 +51,12 @@ class ImportStatus(StrEnum):
     CANCELLED = "cancelled"
 
 
+#: States no job ever leaves (`ImportJobStore._TRANSITIONS`). Failed and
+#: interrupted are not among them: both can be resumed, and both still hold the
+#: source's one active slot.
+FINISHED_STATUSES = (ImportStatus.COMPLETED, ImportStatus.CANCELLED)
+
+
 class ImportJob(BaseModel):
     model_config = ConfigDict(frozen=True, extra="forbid")
 
@@ -272,6 +293,9 @@ class ImportJobStore:
                 WHERE status IN ('pending', 'running', 'paused', 'interrupted', 'failed')
                 """
             )
+        for statement in JOB_LOOKUP_INDEXES.split(";"):
+            if statement.strip():
+                connection.execute(statement)
 
     def create(
         self,
@@ -334,8 +358,8 @@ class ImportJobStore:
         read again.
         """
         opened: list[ImportJob] = []
-        for job in self.list_jobs(status=ImportStatus.FAILED):
-            if job.operation != "history" or job.stored != 0:
+        for job in self.find_jobs(operation="history", statuses=(ImportStatus.FAILED,)):
+            if job.stored != 0:
                 continue
             reasons = {issue.reason for issue in self.list_issues(job.job_id)}
             if not reasons or not reasons <= self._UNPUBLISHED_SNAPSHOT_FAILURES:
@@ -799,16 +823,172 @@ class ImportJobStore:
         return self.require(job_id)
 
     def list_jobs(self, *, status: ImportStatus | None = None) -> list[ImportJob]:
+        """Every job, oldest first. Hot paths ask `find_jobs` a narrower question."""
+        return self.find_jobs(statuses=(status,) if status is not None else None)
+
+    def find_jobs(
+        self,
+        *,
+        user_id: str | None = None,
+        source_id: str | None = None,
+        operation: Literal["history", "sync"] | None = None,
+        statuses: Iterable[ImportStatus] | None = None,
+        newest_first: bool = False,
+        limit: int | None = None,
+    ) -> list[ImportJob]:
+        """The jobs matching every given filter, oldest first unless asked otherwise.
+
+        The filters are SQL, served by `import_jobs_lane` / `import_jobs_status`
+        (migration 63). Reading the whole table and filtering here was what
+        three bulk threads and three request threads were all inside, for tens
+        of seconds, while the loop waited on them.
+        """
+        clauses: list[str] = []
+        parameters: list[str | int] = []
+        if user_id is not None:
+            clauses.append("user_id = ?")
+            parameters.append(user_id)
+        if source_id is not None:
+            clauses.append("source_id = ?")
+            parameters.append(source_id)
+        if operation is not None:
+            clauses.append("operation = ?")
+            parameters.append(operation)
+        if statuses is not None:
+            wanted = tuple(dict.fromkeys(ImportStatus(status) for status in statuses))
+            if not wanted:
+                return []
+            clauses.append(f"status IN ({', '.join('?' for _ in wanted)})")
+            parameters.extend(wanted)
         query = "SELECT * FROM import_jobs"
-        parameters: tuple[str, ...] = ()
-        if status is not None:
-            query += " WHERE status = ?"
-            parameters = (status,)
-        query += " ORDER BY created_at, job_id"
+        if clauses:
+            query += " WHERE " + " AND ".join(clauses)
+        query += (
+            " ORDER BY created_at DESC, job_id DESC"
+            if newest_first
+            else " ORDER BY created_at, job_id"
+        )
+        if limit is not None:
+            if limit < 1:
+                raise ValueError("limit must be positive")
+            query += " LIMIT ?"
+            parameters.append(limit)
         with self._connect() as connection:
             rows = connection.execute(query, parameters).fetchall()
         return [self._to_job(row) for row in rows]
 
+    def latest_job(
+        self,
+        *,
+        user_id: str,
+        source_id: str,
+        operation: Literal["history", "sync"] | None = None,
+        statuses: Iterable[ImportStatus] | None = None,
+    ) -> ImportJob | None:
+        jobs = self.find_jobs(
+            user_id=user_id,
+            source_id=source_id,
+            operation=operation,
+            statuses=statuses,
+            newest_first=True,
+            limit=1,
+        )
+        return jobs[0] if jobs else None
+
+    def prune_finished_sync_jobs(
+        self,
+        *,
+        keep: int = SYNC_JOBS_KEPT_PER_SOURCE,
+        max_rows: int = PRUNE_BATCH_ROWS,
+    ) -> int:
+        """Delete finished live-sync jobs beyond the newest `keep` of each source.
+
+        One bounded transaction: at most `max_rows` jobs, with their issues and
+        skip counts. Returns how many jobs went; fewer than `max_rows` means
+        nothing is left to prune, so calling again until then finishes the job.
+
+        Only `sync` jobs in a state nothing leaves (completed, cancelled) are
+        ever deleted. Failed and interrupted jobs hold the source's active slot
+        and can be resumed; history jobs are named by connection receipts, by
+        the onboarding gate and by the first-import review, and there are a
+        handful per source, so they are all kept. Cursors live in their own
+        tables keyed by file, not by job, so a pruned job takes no position
+        with it. The newest job of every source is always among those kept,
+        which is the one the App and live sync health name.
+        """
+        if keep < 1:
+            raise ValueError("keep must be positive")
+        if max_rows < 1:
+            raise ValueError("max_rows must be positive")
+        finished = tuple(FINISHED_STATUSES)
+        placeholders = ", ".join("?" for _ in finished)
+        deleted = 0
+        with self._connect(writing=True) as connection:
+            lanes = connection.execute(
+                f"""
+                SELECT user_id, source_id, COUNT(*) AS finished
+                FROM import_jobs
+                WHERE operation = 'sync' AND status IN ({placeholders})
+                GROUP BY user_id, source_id
+                HAVING COUNT(*) > ?
+                """,
+                (*finished, keep),
+            ).fetchall()
+            for lane in lanes:
+                if deleted >= max_rows:
+                    break
+                # The oldest job still kept: everything strictly older goes.
+                boundary = connection.execute(
+                    f"""
+                    SELECT created_at, job_id FROM import_jobs
+                    WHERE user_id = ? AND source_id = ? AND operation = 'sync'
+                      AND status IN ({placeholders})
+                    ORDER BY created_at DESC, job_id DESC
+                    LIMIT 1 OFFSET ?
+                    """,
+                    (lane["user_id"], lane["source_id"], *finished, keep - 1),
+                ).fetchone()
+                if boundary is None:
+                    continue
+                victims = [
+                    str(row["job_id"])
+                    for row in connection.execute(
+                        f"""
+                        SELECT job_id FROM import_jobs
+                        WHERE user_id = ? AND source_id = ? AND operation = 'sync'
+                          AND status IN ({placeholders})
+                          AND (created_at < ? OR (created_at = ? AND job_id < ?))
+                        ORDER BY created_at, job_id
+                        LIMIT ?
+                        """,
+                        (
+                            lane["user_id"],
+                            lane["source_id"],
+                            *finished,
+                            boundary["created_at"],
+                            boundary["created_at"],
+                            boundary["job_id"],
+                            max_rows - deleted,
+                        ),
+                    )
+                ]
+                if not victims:
+                    continue
+                marks = ", ".join("?" for _ in victims)
+                # Foreign keys cascade these too; deleting them by name keeps
+                # the outcome the same on a connection that has them off.
+                connection.execute(f"DELETE FROM import_issues WHERE job_id IN ({marks})", victims)
+                connection.execute(
+                    f"DELETE FROM import_skip_reason_counts WHERE job_id IN ({marks})", victims
+                )
+                removed = connection.execute(
+                    f"DELETE FROM import_jobs WHERE job_id IN ({marks}) "
+                    f"AND operation = 'sync' AND status IN ({placeholders})",
+                    (*victims, *finished),
+                )
+                deleted += removed.rowcount
+        return deleted
+
     def get_source_cursors(
         self,
         *,

memhub/apps/core/src/one_memory/imports/live_sync.py

@@ -28,7 +28,7 @@ from one_memory.imports.adapters import (
 )
 from one_memory.imports.jobs import ImportJob, ImportJobStore, ImportStatus
 from one_memory.imports.supervisor import ImportSupervisor
-from one_memory.user_scope import DEFAULT_USER_ID, lane_key, split_lane
+from one_memory.user_scope import DEFAULT_USER_ID, split_lane
 
 #: How long an automatic retry will wait for a wedged worker to notice cancel.
 ABANDON_TIMEOUT_SECONDS = 5.0
@@ -249,13 +249,15 @@ class PollingLiveSyncSupervisor:
                     ),
                 )
                 return None
-            source_jobs = await in_the_background(self.job_store.list_jobs)
+            # This lane's unfinished jobs only: the newest unfinished sync, and
+            # whatever history shares its cursor. Asked in SQL; listing every
+            # job ever run and filtering here was the poll's biggest read.
+            source_jobs = await in_the_background(self._lane_jobs, source_id)
             active_sync = next(
                 (
                     job
                     for job in reversed(source_jobs)
-                    if lane_key(job.user_id, job.source_id) == source_id
-                    and job.operation == "sync"
+                    if job.operation == "sync"
                     and job.status
                     in {
                         ImportStatus.PENDING,
@@ -275,7 +277,9 @@ class PollingLiveSyncSupervisor:
                     active_sync.job_id
                 ):
                     attempted_at = datetime.now(UTC)
-                    self.import_supervisor.enqueue(active_sync.job_id)
+                    await self.import_supervisor.enqueue_off_loop(
+                        active_sync.job_id, job=active_sync
+                    )
                     if not wait_for_completion:
                         self._observe_sync(source_id, attempted_at, active_sync.job_id)
                         return active_sync
@@ -295,22 +299,20 @@ class PollingLiveSyncSupervisor:
                 # by a process restart between yield and claim.  Enqueue is
                 # the operation that actually creates the task.
                 attempted_at = datetime.now(UTC)
-                self.import_supervisor.resume(active_sync.job_id)
-                self.import_supervisor.enqueue(active_sync.job_id)
+                resumed = await self.import_supervisor.resume_off_loop(active_sync.job_id)
+                await self.import_supervisor.enqueue_off_loop(active_sync.job_id, job=resumed)
                 completed = await self.import_supervisor.wait(active_sync.job_id)
                 self._record_outcome(source_id, attempted_at, completed)
                 return completed
             competing = [
                 job
                 for job in source_jobs
-                if lane_key(job.user_id, job.source_id) == source_id
-                and job.operation != "sync"
+                if job.operation != "sync"
                 and job.status
                 in {ImportStatus.PENDING, ImportStatus.RUNNING, ImportStatus.INTERRUPTED}
             ]
             bounded_history_incomplete = any(
-                lane_key(job.user_id, job.source_id) == source_id
-                and job.operation == "history"
+                job.operation == "history"
                 and job.history_after is not None
                 and job.status is not ImportStatus.COMPLETED
                 for job in source_jobs
@@ -354,6 +356,38 @@ class PollingLiveSyncSupervisor:
             # automatically after the realtime slice completes.
             return await self._run_sync(source_id, wait_for_completion=wait_for_completion)
 
+    def _lane_jobs(self, source_id: str) -> list[ImportJob]:
+        """The lane's jobs `_sync` decides on, oldest first.
+
+        Everything not completed, of either operation: an unfinished sync to
+        pick up, a history that competes for the cursor, and a bounded history
+        that has not completed yet (which includes a cancelled one). Finished
+        syncs, the rows that grow without end, are never read.
+        """
+        user_id, bare_source_id = split_lane(source_id)
+        unfinished = tuple(
+            status for status in ImportStatus if status is not ImportStatus.COMPLETED
+        )
+        return [
+            *self.job_store.find_jobs(
+                user_id=user_id,
+                source_id=bare_source_id,
+                operation="history",
+                statuses=unfinished,
+            ),
+            *self.job_store.find_jobs(
+                user_id=user_id,
+                source_id=bare_source_id,
+                operation="sync",
+                statuses=(
+                    ImportStatus.PENDING,
+                    ImportStatus.RUNNING,
+                    ImportStatus.PAUSED,
+                    ImportStatus.INTERRUPTED,
+                ),
+            ),
+        ]
+
     async def _has_work(self, source_id: str) -> bool:
         """Ask the source whether a scan would write anything, before taking a job out.
 
@@ -452,7 +486,7 @@ class PollingLiveSyncSupervisor:
             ),
         )
         self._active_jobs[source_id] = job.job_id
-        self.import_supervisor.enqueue(job.job_id)
+        await self.import_supervisor.enqueue_off_loop(job.job_id, job=job)
         if not wait_for_completion:
             self._observe_sync(source_id, attempted_at, job.job_id)
             return job
@@ -557,7 +591,11 @@ class PollingLiveSyncSupervisor:
 
     async def _poll_source(self, source_id: str) -> None:
         while True:
-            await asyncio.sleep(self.interval_seconds)
+            # A watched source is normally triggered by its filesystem event.
+            # Its timer is only a missed-event backstop; recursively walking
+            # every multi-gigabyte host root once a minute starved unrelated
+            # Core reads even when no source had changed.
+            await asyncio.sleep(self._poll_interval(source_id))
             try:
                 await self.trigger(source_id)
             except asyncio.CancelledError:
@@ -574,6 +612,11 @@ class PollingLiveSyncSupervisor:
                 except Exception as again:
                     self._note_internal_error(source_id, again)
 
+    def _poll_interval(self, source_id: str) -> float:
+        if source_id in (self._watched_sources or ()):
+            return max(self.interval_seconds, 15 * 60)
+        return self.interval_seconds
+
     def _note_worker_still_running(self, source_id: str) -> None:
         current = self.health(source_id)
         self._set_health(

memhub/apps/core/src/one_memory/imports/live_watch.py

@@ -23,6 +23,7 @@ from pathlib import Path
 
 from watchfiles import awatch
 
+from one_memory.background_work import in_the_background
 from one_memory.diagnostic_log import diagnostic_event
 from one_memory.imports.jobs import ImportStatus
 from one_memory.imports.live_sync import PollingLiveSyncSupervisor
@@ -90,7 +91,8 @@ class FileWatchLiveSync:
                 # turn that caused setup. The watcher cannot observe a change
                 # from before it existed, so immediately run the same bounded
                 # trigger once instead of waiting for the 60-second backstop.
-                self._queue_changes(set(self.roots.values()))
+                # The roots are this watcher's own sources: nothing to resolve.
+                self._queue_sources(tuple(self.roots), count=len(self.roots))
 
     async def shutdown(self) -> None:
         task = self._task
@@ -139,28 +141,54 @@ class FileWatchLiveSync:
         observed_at: datetime | None = None,
     ) -> tuple[str, ...]:
         """Queue affected sources and wait for their coalesced work to settle."""
-        workers = self._queue_changes(changed, observed_at=observed_at)
+        workers = await self._queue_changes(changed, observed_at=observed_at)
         await asyncio.gather(*(asyncio.shield(worker) for worker in workers.values()))
         return tuple(workers)
 
-    def _queue_changes(
+    def sources_for(self, changed: set[Path]) -> tuple[str, ...]:
+        """The sources owning `changed`, in path order. Resolves every path."""
+        return tuple(
+            dict.fromkeys(
+                source
+                for source in (self.source_for(path) for path in sorted(changed))
+                if source is not None
+            )
+        )
+
+    async def _queue_changes(
         self, changed: set[Path], *, observed_at: datetime | None = None
+    ) -> dict[str, asyncio.Task[None]]:
+        """Attribute a batch of changed paths to sources and queue them.
+
+        Attributing resolves each path, a `stat` per component, and a busy
+        host reports hundreds of paths at once. On the loop that was the main
+        thread inside `source_for` while nothing else was answered, so the
+        resolving happens off it and only the queueing here.
+        """
+        if self._stop.is_set():
+            return {}
+        observed = observed_at or datetime.now(UTC)
+        sources = await in_the_background(self.sources_for, changed)
+        return self._queue_sources(sources, count=len(changed), observed_at=observed)
+
+    def _queue_sources(
+        self,
+        sources: tuple[str, ...],
+        *,
+        count: int,
+        observed_at: datetime | None = None,
     ) -> dict[str, asyncio.Task[None]]:
         if self._stop.is_set():
             return {}
         observed = observed_at or datetime.now(UTC)
         workers: dict[str, asyncio.Task[None]] = {}
-        for source_id in dict.fromkeys(
-            source
-            for source in (self.source_for(path) for path in sorted(changed))
-            if source is not None
-        ):
+        for source_id in sources:
             diagnostic_event(
                 level="debug",
                 component="import.live_watch",
                 event="live_sync.hook_received",
                 outcome="queued",
-                details={"source_id": source_id, "count": len(changed)},
+                details={"source_id": source_id, "count": count},
             )
             self._pending[source_id] = max(self._pending.get(source_id, observed), observed)
             worker = self._workers.get(source_id)
@@ -239,7 +267,7 @@ class FileWatchLiveSync:
                 stop_event=self._stop,
                 ignore_permission_denied=True,
             ):
-                self._queue_changes({Path(path) for _change, path in changes})
+                await self._queue_changes({Path(path) for _change, path in changes})
         except asyncio.CancelledError:
             raise
         except Exception:

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

@@ -226,6 +226,9 @@ class JsonlSourceAdapter:
         self.header_gate = header_gate
         self._header_cache: dict[str, tuple[str, dict[str, JsonValue] | None]] = {}
         self._history_listing_cache: SourceListing | None = None
+        self._probe_listing_cache: (
+            tuple[dict[str, SourceCursor], int | None, SourceListing] | None
+        ) = None
 
     @property
     def descriptor(self) -> SourceDescriptor:
@@ -281,6 +284,11 @@ class JsonlSourceAdapter:
             predicate=self.file_predicate,
             cursors=options.cursors,
         )
+        self._probe_listing_cache = (
+            dict(options.cursors),
+            options.max_scan_targets,
+            listing,
+        )
         return bool(listing.changed or listing.failures)
 
     async def live_baseline(self) -> dict[str, SourceCursor]:
@@ -315,9 +323,11 @@ class JsonlSourceAdapter:
             async for event in self._scan_frozen(options):
                 yield event
             return
-        listing = await asyncio.to_thread(
-            self._history_listing if options.reuse_listing else self._fresh_listing,
-            options,
+        listing = (
+            await asyncio.to_thread(self._history_listing, options)
+            if options.reuse_listing
+            else self._take_probe_listing(options)
+            or await asyncio.to_thread(self._fresh_listing, options)
         )
         for failure in listing.failures:
             yield ScanFailure(reason_code=discovery_failure_code(failure))
@@ -349,6 +359,16 @@ class JsonlSourceAdapter:
             self._history_listing_cache = listing
         return listing
 
+    def _take_probe_listing(self, options: ScanOptions) -> "SourceListing | None":
+        cached = self._probe_listing_cache
+        self._probe_listing_cache = None
+        if cached is None:
+            return None
+        cursors, max_scan_targets, listing = cached
+        if cursors != options.cursors or max_scan_targets != options.max_scan_targets:
+            return None
+        return listing
+
     def _fresh_listing(self, options: ScanOptions) -> "SourceListing":
         return list_changed_files(
             self.grant,

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

@@ -9,6 +9,7 @@ from collections.abc import AsyncIterator, Iterator
 from dataclasses import dataclass, replace
 from datetime import UTC, datetime, timedelta, timezone
 from functools import partial
+from pathlib import Path
 
 from pydantic import JsonValue
 
@@ -175,6 +176,9 @@ class CursorUnifiedSourceAdapter:
         self.grant = grant
         self.source_version = source_version
         self._history_listing_cache: _CursorListing | None = None
+        self._probe_listing_cache: (
+            tuple[dict[str, SourceCursor], int | None, _CursorListing] | None
+        ) = None
 
     @property
     def descriptor(self) -> SourceDescriptor:
@@ -207,6 +211,15 @@ class CursorUnifiedSourceAdapter:
         state = await self.install_state()
         return min(state.session_count, limit) if limit is not None else state.session_count
 
+    async def has_changes(self, options: ScanOptions) -> bool:
+        listing = await asyncio.to_thread(self._fresh_listing, options)
+        self._probe_listing_cache = (
+            dict(options.cursors),
+            options.max_scan_targets,
+            listing,
+        )
+        return bool(listing.transcripts or listing.stores or listing.legacy or listing.failures)
+
     async def live_baseline(self) -> dict[str, SourceCursor]:
         """Capture Cursor's current tail so the realtime lane never backfills history."""
         listing = await asyncio.to_thread(
@@ -222,9 +235,11 @@ class CursorUnifiedSourceAdapter:
             async for event in self._scan_frozen(options):
                 yield event
             return
-        listing = await asyncio.to_thread(
-            self._history_listing if options.reuse_listing else self._fresh_listing,
-            options,
+        listing = (
+            await asyncio.to_thread(self._history_listing, options)
+            if options.reuse_listing
+            else self._take_probe_listing(options)
+            or await asyncio.to_thread(self._fresh_listing, options)
         )
         for failure in listing.failures:
             yield ScanFailure(reason_code=discovery_failure_code(failure))
@@ -329,6 +344,16 @@ class CursorUnifiedSourceAdapter:
             self._history_listing_cache = listing
         return listing
 
+    def _take_probe_listing(self, options: ScanOptions) -> "_CursorListing | None":
+        cached = self._probe_listing_cache
+        self._probe_listing_cache = None
+        if cached is None:
+            return None
+        cursors, max_scan_targets, listing = cached
+        if cursors != options.cursors or max_scan_targets != options.max_scan_targets:
+            return None
+        return listing
+
     def _fresh_listing(self, options: ScanOptions) -> "_CursorListing":
         return _list_cursor_files(
             self.grant,
@@ -376,6 +401,7 @@ class CursorUnifiedSourceAdapter:
             self.grant,
             suffixes=frozenset({".db"}),
             max_targets=options.max_scan_targets or 100_000,
+            directory_predicate=_cursor_data_directory,
         ):
             if isinstance(discovered, SourceFileDiscoveryFailure):
                 yield ScanFailure(reason_code=discovery_failure_code(discovered))
@@ -477,7 +503,10 @@ def _list_cursor_files(
     legacy: list[AuthorizedSourceFile] = []
     failures: list[SourceFileDiscoveryFailure] = []
     for item in discover_source_files(
-        grant, suffixes=frozenset({".jsonl", ".db", ".vscdb"}), max_targets=max_targets
+        grant,
+        suffixes=frozenset({".jsonl", ".db", ".vscdb"}),
+        max_targets=max_targets,
+        directory_predicate=_cursor_data_directory,
     ):
         if isinstance(item, SourceFileDiscoveryFailure):
             failures.append(item)
@@ -586,6 +615,25 @@ def _is_cursor_data_file(source_file: AuthorizedSourceFile) -> bool:
     )
 
 
+def _cursor_data_directory(relative_path: Path) -> bool:
+    """Enter only Cursor directories that can contain conversation authority.
+
+    The granted root also contains extensions, skills, caches, logs and agent
+    artifacts. Recursively walking all of them every live-sync poll made the
+    reader monopolize Core even though none can pass the file predicates.
+    """
+    parts = relative_path.parts
+    if not parts:
+        return False
+    if parts[0] in {"chats", "acp-sessions"}:
+        return True
+    if parts[0] == "projects":
+        return len(parts) <= 2 or parts[2] == "agent-transcripts"
+    if parts[0] == "User":
+        return len(parts) == 1 or parts[1] in {"globalStorage", "workspaceStorage"}
+    return False
+
+
 def _is_transcript_file(source_file: AuthorizedSourceFile) -> bool:
     parts = source_file.relative_path.parts
     return source_file.relative_path.suffix == ".jsonl" and "agent-transcripts" in parts
@@ -634,6 +682,7 @@ def _select_transcript_files(
         grant,
         suffixes=frozenset({".jsonl"}),
         max_targets=100_000,
+        directory_predicate=_cursor_data_directory,
     ):
         if not isinstance(item, AuthorizedSourceFile) or not _is_transcript_file(item):
             continue
@@ -654,6 +703,7 @@ def _subagent_conversation_ids(grant: AuthorizedSourceRoot) -> set[str]:
             grant,
             suffixes=frozenset({".jsonl"}),
             max_targets=100_000,
+            directory_predicate=_cursor_data_directory,
         )
         if isinstance(item, AuthorizedSourceFile)
         and _is_transcript_file(item)

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/imports/supervisor.py

@@ -1,6 +1,7 @@
 import asyncio
 from collections.abc import Awaitable, Callable, Mapping
 from contextlib import suppress
+from functools import partial
 from time import monotonic
 from typing import Literal
 
@@ -82,6 +83,10 @@ class ImportSupervisor:
         )
         self._tasks: dict[str, asyncio.Task[None]] = {}
         self._drains: dict[str, asyncio.Task[None]] = {}
+        #: Pause and cancel settle a stopped job with a read and a transition.
+        #: Made on the loop, two of them could not interleave; made off it,
+        #: they are serialized here so they still land in the order they woke.
+        self._settling = asyncio.Lock()
 
     def register_adapter(self, adapter: SourceAdapter, *, user_id: str = "local") -> None:
         """Adapters are keyed by lane: the source id for `local`, `source@user`
@@ -116,11 +121,44 @@ class ImportSupervisor:
             raise UnknownSourceError(lane)
         if self.source_enabled is not None and not self.source_enabled(lane):
             return job
-        existing = self._tasks.get(job_id)
+        self._start(job)
+        return job
+
+    async def enqueue_off_loop(self, job_id: str, *, job: ImportJob | None = None) -> ImportJob:
+        """`enqueue`, with its job read and its grant check made off the loop.
+
+        Both are database reads, and the grant check resolves the source root
+        on disk. Live sync enqueues from its poll, so on the loop they were
+        the main thread waiting for a reader behind an import peak. `job` is
+        the row the caller has just read, when it has one.
+        """
+        if job_id in self._drains:
+            raise InvalidJobTransitionError("import_cleanup_in_progress")
+
+        def admit() -> tuple[ImportJob, bool]:
+            current = job if job is not None and job.job_id == job_id else None
+            if current is None:
+                current = self.job_store.require(job_id)
+            lane = self.lane_of(current)
+            return current, self.source_enabled is None or self.source_enabled(lane)
+
+        current, enabled = await in_the_background(admit)
+        lane = self.lane_of(current)
+        if lane not in self.adapters:
+            raise UnknownSourceError(lane)
+        if job_id in self._drains:
+            raise InvalidJobTransitionError("import_cleanup_in_progress")
+        if enabled:
+            self._start(current)
+        return current
+
+    def _start(self, job: ImportJob) -> None:
+        lane = self.lane_of(job)
+        existing = self._tasks.get(job.job_id)
         if existing is None or existing.done():
-            self._tasks[job_id] = asyncio.create_task(
+            self._tasks[job.job_id] = asyncio.create_task(
                 self._execute(
-                    job_id,
+                    job.job_id,
                     source_id=lane,
                     operation=job.operation,
                 )
@@ -130,10 +168,24 @@ class ImportSupervisor:
                 component="import.supervisor",
                 event="import.queued",
                 outcome="queued",
-                job_id=job_id,
+                job_id=job.job_id,
                 details={"source_id": job.source_id, "mode": job.operation},
             )
-        return job
+
+    async def resume_interrupted_off_loop(self) -> None:
+        """`resume_interrupted` for the running Core: every read and write off the loop."""
+        for status in (ImportStatus.INTERRUPTED, ImportStatus.PENDING):
+            jobs = await in_the_background(partial(self.job_store.find_jobs, statuses=(status,)))
+            for job in jobs:
+                if self.lane_of(job) not in self.adapters:
+                    continue
+                if job.status is not ImportStatus.PENDING:
+                    if self.source_enabled is not None and not await in_the_background(
+                        self.source_enabled, self.lane_of(job)
+                    ):
+                        continue
+                    job = await in_the_background(self.job_store.queue_for_resume, job.job_id)
+                await self.enqueue_off_loop(job.job_id, job=job)
 
     def resume_interrupted(self) -> None:
         # A process restart must not place recoverable work behind every newly
@@ -166,40 +218,64 @@ class ImportSupervisor:
         self.enqueue(job_id)
         return queued
 
+    async def resume_off_loop(self, job_id: str) -> ImportJob:
+        """`resume`, with its reads and its write made off the event loop."""
+        if job_id in self._drains:
+            raise InvalidJobTransitionError("import_cleanup_in_progress")
+        queued = await in_the_background(self._queue_resumable, job_id)
+        if queued.status is not ImportStatus.PENDING:
+            return queued
+        return await self.enqueue_off_loop(job_id, job=queued)
+
+    def _queue_resumable(self, job_id: str) -> ImportJob:
+        job = self.job_store.require(job_id)
+        if job.status not in {
+            ImportStatus.PENDING,
+            ImportStatus.PAUSED,
+            ImportStatus.INTERRUPTED,
+            ImportStatus.FAILED,
+        }:
+            return job
+        return self.job_store.queue_for_resume(job_id)
+
     async def wait(self, job_id: str) -> ImportJob:
         task = self._tasks.get(job_id)
         if task is not None:
             await asyncio.shield(task)
-        return self.job_store.require(job_id)
+        return await in_the_background(self.job_store.require, job_id)
 
     async def pause(self, job_id: str) -> ImportJob:
-        job = self.job_store.require(job_id)
+        job = await in_the_background(self.job_store.require, job_id)
         if job.status in {ImportStatus.PAUSED, ImportStatus.INTERRUPTED}:
             return job
         await self._cancel_task(job_id)
-        current = self.job_store.require(job_id)
-        if current.status is ImportStatus.COMPLETED:
-            return current
-        return self.job_store.transition(job_id, ImportStatus.PAUSED)
+        async with self._settling:
+            return await in_the_background(self._settle_stopped, job_id, ImportStatus.PAUSED)
 
     async def cancel(self, job_id: str) -> ImportJob:
-        job = self.job_store.require(job_id)
+        job = await in_the_background(self.job_store.require, job_id)
         if job.status is ImportStatus.CANCELLED:
             return job
         await self._cancel_task(job_id)
+        async with self._settling:
+            return await in_the_background(self._settle_stopped, job_id, ImportStatus.CANCELLED)
+
+    def _settle_stopped(self, job_id: str, target: ImportStatus) -> ImportJob:
+        """A stopped runner's job moves to `target`, unless it completed first."""
         current = self.job_store.require(job_id)
         if current.status is ImportStatus.COMPLETED:
             return current
-        return self.job_store.transition(job_id, ImportStatus.CANCELLED)
+        return self.job_store.transition(job_id, target)
 
     async def shutdown(self) -> None:
-        running = [
-            job
-            for job in self.job_store.list_jobs(status=ImportStatus.RUNNING)
-            if job.job_id in self._tasks
-        ]
-        for job in running:
-            self.job_store.interrupt_running(job.job_id)
+        mine = frozenset(self._tasks)
+
+        def interrupt_mine() -> None:
+            for job in self.job_store.find_jobs(statuses=(ImportStatus.RUNNING,)):
+                if job.job_id in mine:
+                    self.job_store.interrupt_running(job.job_id)
+
+        await in_the_background(interrupt_mine)
         await asyncio.gather(
             *(self._cancel_task(job_id) for job_id in tuple(self._tasks)),
         )
@@ -355,9 +431,7 @@ class ImportSupervisor:
             try:
                 await asyncio.wait_for(asyncio.shield(task), timeout)
             except TimeoutError:
-                current = self.job_store.require(job_id)
-                if current.status is ImportStatus.RUNNING:
-                    self.job_store.interrupt_running(job_id)
+                await in_the_background(self._interrupt_if_running, job_id)
                 return False
             except asyncio.CancelledError:
                 # The worker noticed cancel and exited. A cancel of this
@@ -365,10 +439,16 @@ class ImportSupervisor:
                 caller = asyncio.current_task()
                 if caller is not None and caller.cancelling():
                     raise
+        # A read and a write on the single writer: off the loop. Live sync
+        # calls this from its poll, and on the loop it was the main thread
+        # waiting its turn for the writer behind an import peak.
+        await in_the_background(self._interrupt_if_running, job_id)
+        return True
+
+    def _interrupt_if_running(self, job_id: str) -> None:
         current = self.job_store.require(job_id)
         if current.status is ImportStatus.RUNNING:
             self.job_store.interrupt_running(job_id)
-        return True
 
     async def _cancel_task(self, job_id: str) -> None:
         drain = self._drains.get(job_id)

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

@@ -15,9 +15,7 @@ class HyLifecycle:
         object.__setattr__(self, "hidden", MappingProxyType(dict(self.hidden)))
 
     def __eq__(self, other: object) -> bool:
-        return isinstance(other, HyLifecycle) and dict(self.hidden) == dict(
-            other.hidden
-        )
+        return isinstance(other, HyLifecycle) and dict(self.hidden) == dict(other.hidden)
 
     def __hash__(self) -> int:
         return hash(tuple(sorted(self.hidden.items())))
@@ -27,9 +25,5 @@ class HyLifecycle:
 
     def replacing(self, memory_id: str) -> tuple[str, ...]:
         return tuple(
-            sorted(
-                old
-                for old, replacements in self.hidden.items()
-                if memory_id in replacements
-            )
+            sorted(old for old, replacements in self.hidden.items() if memory_id in replacements)
         )

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

@@ -1,15 +1,35 @@
-"""Write visible hook text into Evidence. Tool output stays out."""
+"""Core's intake for host hooks: visible text only, staged under Core's writer.
 
+The hook process (`capture_handoff`) never opens the database; it posts the
+hook's JSON to `POST /api/v1/live-capture/{source}` on the running Core, which
+calls `capture_hook` here. Tool output stays out.
+
+A source that live sync already reads from its own files is left to that
+path: the hook and the file name the same message differently (the hook has
+no workspace and often no message id), so staging both sent one turn to the
+SDK twice. Only a source no file poller follows is staged from the hook.
+"""
+
+import asyncio
 import json
-import os
 import time
+from collections.abc import Callable
 from datetime import UTC, datetime
 from enum import StrEnum
 from pathlib import Path
-from typing import TextIO, cast
+from typing import cast
 
+from fastapi import APIRouter, HTTPException, Request
+from fastapi.params import Depends
 from pydantic import JsonValue
 
+from one_memory.capture_handoff import (
+    CAPTURE_ROUTE,
+    CAPTURE_SOURCES,
+    MAX_PAYLOAD_BYTES,
+    SDK_MIGRATION_CAPTURE_FENCE,
+    sdk_migration_capture_fenced,
+)
 from one_memory.database_access import main_database
 from one_memory.derived_echo import PREFACE, strip_injected_memory
 from one_memory.imports.access import opaque_workspace_id, safe_project_label
@@ -19,6 +39,7 @@ from one_memory.imports.models import (
     EvidenceRecord,
     OriginMetadata,
     WrittenBy,
+    materialize_write_input,
 )
 from one_memory.imports.sources.claude_code import parse_claude_code_record
 from one_memory.imports.sources.codex import HARNESS_PREFIXES, parse_codex_record
@@ -38,23 +59,21 @@ from one_memory.imports.sources.parsing import (
 )
 from one_memory.imports.sources.pi import _is_automated_session
 from one_memory.imports.sources.workbuddy import _is_scheduled_automation, parse_workbuddy_record
-from one_memory.imports.storage import EvidenceStore
+from one_memory.memory_server.durable_queue import DurableWriteQueue
+from one_memory.sdk_data_plane_migration import MemoryAuthority
+
+__all__ = [
+    "CAPTURE_SOURCES",
+    "SDK_MIGRATION_CAPTURE_FENCE",
+    "CaptureOutcome",
+    "CaptureRejection",
+    "capture_hook",
+    "capture_rejection",
+    "live_capture_router",
+    "record_capture_rejection",
+    "sdk_migration_capture_fenced",
+]
 
-CAPTURE_SOURCES = frozenset(
-    {
-        "workbuddy",
-        "claude-code",
-        "codex",
-        "cursor",
-        "pi",
-        "qwen-code",
-        "qwenwork",
-        "hermes",
-        "deepseek-harness",
-        "opencode",
-        "openclaw",
-    }
-)
 _UNKNOWN_USER = frozenset({"hermes", "opencode", "openclaw"})
 _USER_FIELDS = {
     "UserPromptSubmit": "prompt",
@@ -75,112 +94,130 @@ _FILE_FALLBACK = {
 }
 _FALLBACK_EVENTS = frozenset({"Stop", "stop", "SubagentStop", "StopFailure"})
 _TEXT_BLOCKS = frozenset({"text"})
-SDK_MIGRATION_CAPTURE_FENCE = ".sdk-migration-capture-fence.json"
 
 
-def database_path() -> Path:
-    from one_memory.config import load_settings
+class CaptureOutcome(StrEnum):
+    """What Core did with one hook payload. Never the payload itself."""
 
-    return load_settings().data_dir / "one-memory.sqlite3"
+    STAGED = "staged"
+    #: Live sync reads this source's own files; that path owns the turn.
+    FILE_POLLED = "file_polled"
+    REJECTED = "rejected"
+    IGNORED = "ignored"
 
 
-def capture_stdio(source_id: str, stdin: TextIO, output: TextIO) -> int:
-    """Host hooks must stay silent. A bad payload does not fail the turn."""
+def capture_hook(
+    source_id: str,
+    payload: object,
+    database: Path,
+    *,
+    queue: DurableWriteQueue,
+    file_polled: Callable[[str], bool] = lambda _source_id: False,
+) -> CaptureOutcome:
+    """Gate one hook payload and stage its visible lines, inside Core.
 
-    del output
-    if source_id not in CAPTURE_SOURCES:
-        return 2
-    database = database_path()
-    if sdk_migration_capture_fenced(database.parent):
-        return 0
-    try:
-        payload = json.loads(stdin.read() or "")
-    except json.JSONDecodeError:
-        return 0
-    try:
-        capture_hook(source_id, payload, database)
-    except Exception:
-        return 0
-    return 0
-
-
-def sdk_migration_capture_fenced(data_dir: Path) -> bool:
-    """Ignore stale fences; a live migration or a failed one pauses hook writes.
-
-    A failed upgrade migration leaves the fence `frozen` (no pid): the home was
-    put back as it was before the upgrade and takes no writes until the next
-    migration attempt, which replaces the fence and lifts it on success.
+    Runs on SDK authority through Core's single writer: the lines become
+    write-job input exactly as live file sync stages them
+    (`materialize_write_input` -> `stage_sdk_input` -> `finalize_sdk_file`,
+    live priority). No Evidence table is involved.
     """
-    marker = data_dir / SDK_MIGRATION_CAPTURE_FENCE
-    try:
-        document = json.loads(marker.read_text(encoding="utf-8"))
-        if isinstance(document, dict) and document.get("frozen") is True:
-            return True
-        pid = int(document["pid"])
-        if pid < 1:
-            raise ValueError("invalid migration fence pid")
-        os.kill(pid, 0)
-        return True
-    except FileNotFoundError:
-        return False
-    except ProcessLookupError:
-        marker.unlink(missing_ok=True)
-        return False
-    except PermissionError:
-        return True
-    except (KeyError, TypeError, ValueError, json.JSONDecodeError, OSError):
-        marker.unlink(missing_ok=True)
-        return False
-
-
-def capture_hook(source_id: str, payload: object, database: Path) -> bool:
     if source_id not in CAPTURE_SOURCES or not isinstance(payload, dict):
-        return False
+        return CaptureOutcome.IGNORED
     # Cursor also runs ~/.claude/settings.json hooks; its own hook already files the turn.
     if source_id != "cursor" and "cursor_version" in payload:
-        return False
+        return CaptureOutcome.IGNORED
     if not database.is_file():
-        return False
+        return CaptureOutcome.IGNORED
     rejection = capture_rejection(database, source_id)
     if rejection is not None:
         # Silent, and the reason is counted rather than printed: a hook that
         # spoke would put this into the host's turn as text.
         record_capture_rejection(database, source_id, rejection)
-        return False
+        return CaptureOutcome.REJECTED
     if source_id == "pi" and _is_automated_session(first_string(payload.get("cwd"))):
-        return False
-    lines = _messages(source_id, payload)
-    if lines:
-        conversation_id = _conversation(payload)
-        store = EvidenceStore(database)
-        wrote = False
-        for role, written_by, verbatim, message_id in lines:
-            target = conversation_id
-            if target is None:
-                continue
-            result = store.put(
-                EvidenceInput(
-                    source_id=source_id,
-                    conversation_id=target,
-                    message_id=message_id,
-                    source_ordinal=None if message_id else "hook-visible",
-                    role=role,
-                    written_by=written_by,
-                    created_at=datetime.now(UTC),
-                    verbatim=verbatim,
-                    origin_meta={EvidenceOrigin.HOOK: OriginMetadata()},
-                )
-            )
-            _submit_live_memory(
-                store, result.record, changed=result.was_created or result.was_revised
-            )
-            wrote = True
-        return wrote
-    return _capture_transcript(source_id, payload, database)
+        return CaptureOutcome.IGNORED
+    if file_polled(source_id):
+        # The same turn reaches the SDK once, from the file: the two lanes give
+        # one message different identities, so staging both wrote it twice.
+        return CaptureOutcome.FILE_POLLED
+    inputs = _hook_inputs(source_id, payload) or _capture_transcript(source_id, payload, database)
+    if not inputs:
+        return CaptureOutcome.IGNORED
+    observed = datetime.now(UTC)
+    conversations: dict[str, list[EvidenceRecord]] = {}
+    for value in inputs:
+        conversations.setdefault(value.conversation_id, []).append(
+            materialize_write_input(value, observed_at=observed)
+        )
+    for conversation_id, records in conversations.items():
+        # The turn rule decides what is written (`turn_batches`): a turn is
+        # complete when the next user message arrives, batches are 5 turns or
+        # 8000 characters, and Core writes the rest after 10 quiet minutes.
+        queue.assemble_live_records(tuple(records), file_key=f"hook:{conversation_id}")
+    return CaptureOutcome.STAGED
 
 
-def _sync_open(database: Path, source_id: str) -> bool:
-    return capture_rejection(database, source_id) is None
+def _hook_inputs(source_id: str, payload: dict[str, object]) -> list[EvidenceInput]:
+    conversation_id = _conversation(payload)
+    if conversation_id is None:
+        return []
+    observed = datetime.now(UTC)
+    return [
+        EvidenceInput(
+            source_id=source_id,
+            conversation_id=conversation_id,
+            message_id=message_id,
+            source_ordinal=None if message_id else "hook-visible",
+            role=role,
+            written_by=written_by,
+            created_at=observed,
+            verbatim=verbatim,
+            origin_meta={EvidenceOrigin.HOOK: OriginMetadata()},
+        )
+        for role, written_by, verbatim, message_id in _messages(source_id, payload)
+    ]
+
+
+def live_capture_router(
+    dependencies: list[Depends],
+    *,
+    file_polled: Callable[[Request, str], bool],
+) -> APIRouter:
+    """`POST /api/v1/live-capture/{source_id}`: a hook's payload, handed over by the hook.
+
+    202 whatever the gates decide, so a hook has nothing to print. The answer
+    names the outcome only, never any of the payload.
+    """
+    router = APIRouter(dependencies=dependencies)
+
+    @router.post(CAPTURE_ROUTE, status_code=202)
+    async def live_capture(source_id: str, request: Request) -> dict[str, str]:
+        if source_id not in CAPTURE_SOURCES:
+            raise HTTPException(status_code=404, detail="capture_source_not_found")
+        body = await request.body()
+        if len(body) > MAX_PAYLOAD_BYTES:
+            raise HTTPException(status_code=413, detail="capture_payload_too_large")
+        try:
+            payload = json.loads(body)
+        except (json.JSONDecodeError, UnicodeError) as error:
+            raise HTTPException(status_code=422, detail="capture_payload_invalid") from error
+        state = request.app.state
+        queue = getattr(state, "memory_write_queue", None)
+        if getattr(state, "memory_authority", None) is not MemoryAuthority.SDK or queue is None:
+            # Only an SDK-authority home is served; nothing here may bring the
+            # retired Evidence tables back for any other.
+            return {"outcome": CaptureOutcome.IGNORED.value}
+        outcome = await asyncio.to_thread(
+            capture_hook,
+            source_id,
+            payload,
+            queue.database_path,
+            queue=queue,
+            file_polled=lambda source: file_polled(request, source),
+        )
+        return {"outcome": outcome.value}
+
+    return router
 
 
 class CaptureRejection(StrEnum):
@@ -255,22 +292,6 @@ def record_capture_rejection(
         return
 
 
-def _submit_live_memory(store: EvidenceStore, record: EvidenceRecord, *, changed: bool) -> None:
-    """Add the record to its conversation's live assembling row.
-
-    The turn rule decides what is written (`turn_batches`): a turn is
-    complete when the next user message arrives, batches are 5 turns or
-    8000 characters, and Core writes the rest after 10 quiet minutes.
-    """
-    if not changed or not _sync_open(store.database_path, record.source_id):
-        return
-    from one_memory.memory_server.durable_queue import DurableWriteQueue
-
-    DurableWriteQueue(store.database_path, evidence=store).assemble_live_records(
-        (record,), file_key=f"hook:{record.conversation_id}"
-    )
-
-
 def _conversation(payload: dict[str, object]) -> str | None:
     return first_string(
         cast(JsonValue | None, payload.get("session_id")),
@@ -470,34 +491,35 @@ def _opencode_messages(
     return lines
 
 
-def _capture_transcript(source_id: str, payload: dict[str, object], database: Path) -> bool:
+def _capture_transcript(
+    source_id: str, payload: dict[str, object], database: Path
+) -> list[EvidenceInput]:
     """Stop without in-memory text reads the granted transcript, then the same parser."""
 
     event = payload.get("hook_event_name") or payload.get("hookEventName")
     parser = _FILE_FALLBACK.get(source_id)
     transcript = payload.get("transcript_path")
     if event not in _FALLBACK_EVENTS or parser is None or not isinstance(transcript, str):
-        return False
+        return []
     root = _grant_root(database, source_id)
     if root is None:
-        return False
+        return []
     try:
         granted = root.resolve()
         target = Path(transcript).resolve()
     except OSError:
-        return False
+        return []
     if target != granted and granted not in target.parents:
-        return False
+        return []
     if not target.is_file():
-        return False
+        return []
     _wait_stable(target)
     try:
         raw = target.read_text(encoding="utf-8")
     except OSError:
-        return False
+        return []
     relative = target.relative_to(granted).as_posix()
-    store = EvidenceStore(database)
-    wrote = False
+    inputs: list[EvidenceInput] = []
     for index, line in enumerate(raw.splitlines()):
         if not line.strip():
             continue
@@ -514,7 +536,7 @@ def _capture_transcript(source_id: str, payload: dict[str, object], database: Pa
         if not isinstance(parsed, ParsedMessage):
             continue
         for row_index, row in enumerate(parsed.rows()):
-            result = store.put(
+            inputs.append(
                 EvidenceInput(
                     source_id=source_id,
                     workspace=opaque_workspace_id(source_id, row.workspace),
@@ -533,11 +555,7 @@ def _capture_transcript(source_id: str, payload: dict[str, object], database: Pa
                     origin_meta={EvidenceOrigin.FILE: OriginMetadata()},
                 )
             )
-            _submit_live_memory(
-                store, result.record, changed=result.was_created or result.was_revised
-            )
-        wrote = True
-    return wrote
+    return inputs
 
 
 def _grant_root(database: Path, source_id: str) -> Path | None:

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

@@ -28,10 +28,11 @@ from pathlib import Path
 from typing import Any, Literal
 from uuid import uuid4
 
-from one_memory.background_work import in_the_background
+from one_memory.background_work import in_lease_renewal, in_the_write_queue
 from one_memory.conversation_processing import TURN_IDLE_FLUSH_SECONDS, turn_batches
 from one_memory.database_access import main_database
 from one_memory.diagnostic_log import diagnostic_event
+from one_memory.exception_reporting import report_exception
 from one_memory.imports.models import EvidenceOrigin, EvidenceRecord
 from one_memory.imports.storage import EvidenceStore
 from one_memory.memory_server.contracts import (
@@ -451,6 +452,14 @@ class _LeaseRenewalFatalError(RuntimeError):
     """A non-transient renewal failure that must stop the worker."""
 
 
+def _drain_exit_code(error: BaseException) -> str:
+    """A stable, lowercase code for why the drain exited; never message text."""
+    if isinstance(error, _LeaseRenewalFatalError):
+        return "lease_renewal_failed"
+    name = re.sub(r"(?<!^)(?=[A-Z])", "_", type(error).__name__).lower()
+    return name if re.fullmatch(r"[a-z_]{1,64}", name) else "drain_error"
+
+
 @dataclass(frozen=True)
 class UnknownWriteJob:
     """An `unknown` row that still needs an external inquiry.
@@ -2540,7 +2549,7 @@ 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:
@@ -2562,14 +2571,14 @@ async def execute_job(
     # Every store call here is synchronous SQLite work on the single writer or
     # a reader; made from the loop it would block health checks and the API for
     # as long as the write lock is held.
-    request = await in_the_background(queue.payload_for, job_id)
+    request = await in_the_write_queue(queue.payload_for, job_id)
     if request is None:
         # A claimed row whose payload is missing or unreadable (reaped while
         # still claimable, corrupted, or a foreign row) must not be left
         # `running`: nothing was sent, so it is a terminal failure rather than
         # an unknown, and the lease must be released so it is not held until it
         # lapses.
-        await in_the_background(
+        await in_the_write_queue(
             queue.settle,
             job_id,
             state=FAILED,
@@ -2579,9 +2588,9 @@ async def execute_job(
         )
         return
     try:
-        records = await in_the_background(evidence_for_request, evidence, request)
+        records = await in_the_write_queue(evidence_for_request, evidence, request)
     except LookupError as error:
-        await in_the_background(
+        await in_the_write_queue(
             queue.settle,
             job_id,
             state=FAILED,
@@ -2593,7 +2602,7 @@ 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:
@@ -2618,10 +2627,10 @@ async def execute_job(
         source_id = lane_key(next(iter(users), DEFAULT_USER_ID), source_id)
 
         async def mark() -> bool:
-            return await in_the_background(queue.mark_invoked, job_id, owner=owner)
+            return await in_the_write_queue(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")
@@ -2633,7 +2642,7 @@ async def execute_job(
             raise RuntimeError("durable_write_lease_lost_before_invocation")
         hy_invoked = True
 
-    attempt = await in_the_background(queue.sdk_attempt, job_id)
+    attempt = await in_the_write_queue(queue.sdk_attempt, job_id)
     window = model_failures() if model_failures is not None else nullcontext(None)
     provider: ModelAttempt | None = None
     try:
@@ -2675,7 +2684,7 @@ async def execute_job(
             }
             and not hy_invoked
         ):
-            await in_the_background(queue.release_unstarted, job_id, owner=owner)
+            await in_the_write_queue(queue.release_unstarted, job_id, owner=owner)
             return
         provider_failure = provider.failure if provider is not None else None
         if hy_invoked and provider_failure is not None:
@@ -2683,7 +2692,7 @@ async def execute_job(
             # gone, a provider that is down): the job is fine and waits for
             # the provider, in its place, without spending a retry. The
             # breaker paces when it is tried again.
-            await in_the_background(
+            await in_the_write_queue(
                 queue.requeue_for_model, job_id, error_code=provider_failure, owner=owner
             )
             logger.info(
@@ -2712,7 +2721,7 @@ async def execute_job(
         elif not hy_invoked and code in MODEL_NOT_READY_CODES:
             state = WAITING_FOR_MODEL
         if state is not None:
-            await in_the_background(
+            await in_the_write_queue(
                 queue.settle,
                 job_id,
                 state=state,
@@ -2724,7 +2733,7 @@ async def execute_job(
             # Anything else is this job's own trouble: content the model or
             # the SDK refused, a reply that did not parse, a check that failed
             # after the write. Retried a few times, then `failed`.
-            state = await in_the_background(
+            state = await in_the_write_queue(
                 queue.retry_or_fail, job_id, error_code=code, owner=owner
             )
         # Never `logger.exception` here: it prints the exception's message,
@@ -2751,7 +2760,7 @@ async def execute_job(
                 error_chain_text(error),
             )
         return
-    await in_the_background(
+    await in_the_write_queue(
         queue.settle,
         job_id,
         state=COMPLETED,
@@ -2760,13 +2769,13 @@ async def execute_job(
         sdk_memory_ids=memory_ids,
     )
     release = getattr(evidence, "release_sdk_staging", None)
-    durable_receipt = await in_the_background(queue.sdk_receipt, job_id)
+    durable_receipt = await in_the_write_queue(queue.sdk_receipt, job_id)
     if (
         callable(release)
         and durable_receipt is not None
         and (durable_receipt.raw_ids or durable_receipt.memory_ids)
     ):
-        await in_the_background(
+        await in_the_write_queue(
             release,
             tuple(record.evidence_id for record in records),
         )
@@ -2891,6 +2900,16 @@ class DurableWriteDrain:
         #: a minute against a provider that refused every one (#245).
         self.model_claim_allowance = model_claim_allowance
         self._last_unknown_reconcile: datetime | None = None
+        #: What `run_supervised` says about the drain: None before it was
+        #: first started, then `running`, `restarting` (it exited on an error
+        #: and waits out its backoff) or `stopped`. Shown by memory-processing.
+        self.liveness: Literal["running", "restarting", "stopped"] | None = None
+        #: The stable code of the last unexpected exit, kept after a restart.
+        self.last_error_code: str | None = None
+        self.restarts = 0
+        self._stop_requested = False
+        #: Wakes a restart backoff, so `stop()` does not wait it out.
+        self._stopping = asyncio.Event()
 
     def claim(
         self,
@@ -3218,7 +3237,7 @@ class DurableWriteDrain:
             # Claim is a blocking SQLite write on the single writer connection.
             # Run it off the loop, like every other DB call in this chain; a
             # busy writer would otherwise stall the whole event loop.
-            ids = await in_the_background(
+            ids = await in_the_write_queue(
                 self.claim,
                 limit=limit,
                 budget_ms=self.claim_budget_ms,
@@ -3231,10 +3250,10 @@ class DurableWriteDrain:
         await asyncio.gather(*(self._run_claimed_job(job_id) for job_id in ids))
 
     async def _run_claimed_job(self, job_id: str) -> None:
-        if not await in_the_background(self.still_owns, job_id):
+        if not await in_the_write_queue(self.still_owns, job_id):
             logger.warning("durable_write_drain_lease_lost_before_execution job_id=%s", job_id)
             return
-        deadline = await in_the_background(self.lease_deadline, job_id)
+        deadline = await in_the_write_queue(self.lease_deadline, job_id)
         if deadline is None:
             return
         renewal = asyncio.create_task(self._renew_loop(job_id, deadline))
@@ -3261,11 +3280,9 @@ 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(
@@ -3273,12 +3290,15 @@ class DurableWriteDrain:
                 job_id,
                 type(error).__name__,
             )
+            report_exception(
+                "memory.write_queue",
+                "memory.write_queue.executor_failed",
+                error,
+            )
             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()
@@ -3287,9 +3307,39 @@ 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_write_queue(
+                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)
+            await in_the_write_queue(self.work_ceiling)
             if callable(self.work_ceiling)
             else self.work_ceiling
         )
@@ -3324,7 +3374,33 @@ 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__,
+                        )
+                        # With its stack: a type name alone cannot tell one
+                        # stray failure from a bug that fails every job.
+                        report_exception(
+                            "memory.write_queue",
+                            "memory.write_queue.job_task_failed",
+                            error,
+                        )
                 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
@@ -3340,7 +3416,7 @@ class DurableWriteDrain:
                 try:
                     available = self.max_concurrent_sources - len(active)
                     ids = (
-                        await in_the_background(
+                        await in_the_write_queue(
                             self.claim,
                             limit=available,
                             budget_ms=self.claim_budget_ms,
@@ -3349,7 +3425,12 @@ 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:
@@ -3447,7 +3528,79 @@ class DurableWriteDrain:
                 await asyncio.gather(*active, return_exceptions=True)
 
     def stop(self) -> None:
+        self._stop_requested = True
         self.running = False
+        self._stopping.set()
+
+    async def run_supervised(
+        self,
+        *,
+        idle_pause: float = 0.05,
+        restart_backoff: float = 1.0,
+        max_restart_backoff: float = 60.0,
+    ) -> None:
+        """`run_forever`, started again whenever it exits on an error.
+
+        The drain is the queue's only consumer, so a drain that died stranded
+        every write behind it until the next start, and nothing said so: an
+        unexpected SQLite error on the claim path (disk I/O, a vanished file)
+        or an exception from a claim gate ended it for good. Each exit is now
+        reported with its stack, and the drain comes back after a pause that
+        doubles up to `max_restart_backoff`, back to `restart_backoff` once it
+        has run for that long. `stop()` and cancellation end it as before.
+
+        Ownership across a restart: `run_forever` only returns once every job
+        task it started has finished (its `finally`), and a task whose lease
+        renewal broke (`_LeaseRenewalFatalError`) waits for its execution to
+        return first, so nothing of the old drain is still running a job when
+        the new one claims. The new one also takes a new lease owner, so a
+        statement of the old one still in a pool thread can neither renew nor
+        settle a row under the new drain's name, and the old drain's leases
+        are only ever recovered by expiry (`reclaim_expired`), which decides
+        by `hy_invoked` exactly as for a drain that died with its process.
+        """
+        backoff = restart_backoff
+        while not self._stop_requested:
+            started = _time.monotonic()
+            self.liveness = "running"
+            try:
+                await self.run_forever(idle_pause=idle_pause)
+            except asyncio.CancelledError:
+                self.liveness = "stopped"
+                raise
+            except Exception as error:
+                self.last_error_code = _drain_exit_code(error)
+                self.restarts += 1
+                report_exception(
+                    "memory.write_queue",
+                    "memory.write_queue.drain_exited",
+                    error,
+                    context={"restarts": self.restarts},
+                )
+                logger.error(
+                    "durable_write_drain_exited error_code=%s restarts=%d chain=%s",
+                    self.last_error_code,
+                    self.restarts,
+                    error_chain_text(error),
+                )
+            else:
+                if self._stop_requested:
+                    break
+            if self._stop_requested:
+                break
+            self.owner = f"durable-drain:{uuid4()}"
+            if _time.monotonic() - started >= max_restart_backoff:
+                backoff = restart_backoff
+            self.liveness = "restarting"
+            try:
+                await asyncio.wait_for(self._stopping.wait(), timeout=backoff)
+            except TimeoutError:
+                pass
+            except asyncio.CancelledError:
+                self.liveness = "stopped"
+                raise
+            backoff = min(backoff * 2, max_restart_backoff)
+        self.liveness = "stopped"
 
     async def _run_idle_maintenance(
         self,
@@ -3465,7 +3618,7 @@ class DurableWriteDrain:
         persisting provider or user content.
         """
         try:
-            await in_the_background(operation)
+            await in_the_write_queue(operation)
             self._database_failure_streaks.pop(f"maintenance:{operation_name}", None)
         except asyncio.CancelledError:
             raise
@@ -3493,7 +3646,7 @@ class DurableWriteDrain:
                 renewed_at = datetime.now(UTC)
                 remaining = (deadline - renewed_at).total_seconds()
                 if remaining <= 0 or not await asyncio.wait_for(
-                    in_the_background(self.renew, job_id), timeout=remaining
+                    in_lease_renewal(self.renew, job_id), timeout=remaining
                 ):
                     return False
                 deadline = renewed_at + self.lease

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

@@ -3190,6 +3190,110 @@ 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
+
+
+IMPORT_JOB_LOOKUP_INDEXES_MIGRATION_VERSION = 63
+
+
+def import_job_lookup_indexes_ddl(dialect: str = "mysql") -> str:
+    """Index the per-source and per-status import job lookups.
+
+    Migration 7 gave SQLite `import_jobs` no index beyond its primary key (the
+    one-active-job index is partial), so every "this source's jobs" or "the
+    jobs in this state" question read and sorted the whole table. Live sync
+    adds a row per change it imports and nothing removed them, so on a machine
+    a few weeks old that table was thousands of rows read several times a poll.
+
+    `import_jobs_lane` serves the lane lookups (one user, one source, one
+    operation, a status, newest first) and the pruning of finished syncs;
+    `import_jobs_status` serves restart recovery and the status filters.
+    MySQL's migration 7 already has a status index and no `operation` column,
+    so it only gains the ordered source index.
+    """
+    if dialect == "sqlite":
+        return """
+CREATE INDEX IF NOT EXISTS import_jobs_lane
+ON import_jobs(user_id, source_id, operation, status, created_at);
+CREATE INDEX IF NOT EXISTS import_jobs_status
+ON import_jobs(status, created_at);
+"""
+    return """
+CREATE INDEX idx_import_jobs_source_created
+ON import_jobs(user_id, source_id, created_at);
+"""
+
+
+def _is_duplicate_index(error: Exception) -> bool:
+    """MySQL's "index name already there" (1061): the index is in place."""
+    args: tuple[object, ...] = getattr(error, "args", ())
+    return bool(args) and args[0] == 1061
+
+
+async def _063_import_job_lookup_indexes(cursor: Any) -> None:
+    dialect = _dialect(cursor)
+    if dialect == "sqlite":
+        # `operation` was added by the job store, not by migration 7, so a
+        # database built from the catalog alone may not have it yet. Same
+        # declaration as the store's own addition.
+        if "operation" not in await cursor.columns("import_jobs"):
+            await cursor.execute(
+                "ALTER TABLE import_jobs ADD COLUMN operation TEXT NOT NULL DEFAULT 'history'"
+            )
+        for statement in _split_statements(import_job_lookup_indexes_ddl(dialect)):
+            await cursor.execute(statement)
+        return
+    for statement in _split_statements(import_job_lookup_indexes_ddl(dialect)):
+        try:
+            await cursor.execute(statement)
+        except Exception as error:  # noqa: BLE001 - MySQL driver error type varies
+            if _is_duplicate_index(error):
+                continue
+            raise
+
+
 def _split_statements(sql: str) -> list[str]:
     """Split a multi-statement script, dropping blanks, PRAGMA and comments.
 
@@ -3490,4 +3594,15 @@ 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",),
+    ),
+    Migration(
+        IMPORT_JOB_LOOKUP_INDEXES_MIGRATION_VERSION,
+        "import_job_lookup_indexes",
+        _063_import_job_lookup_indexes,
+    ),
 )

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/model_probe.py

@@ -26,6 +26,7 @@ if TYPE_CHECKING:
 _operation: ContextVar[tuple["ModelProbeOperations", str] | None] = ContextVar(
     "model_probe_operation", default=None
 )
+_dispatch_started: ContextVar[bool] = ContextVar("model_probe_dispatch_started", default=False)
 
 
 class ProbeCode(StrEnum):
@@ -113,16 +114,26 @@ class ModelProber:
         if existing is not None:
             return existing
         token = _operation.set((operations, request.operation_id))
+        dispatch_token = _dispatch_started.set(False)
         try:
             await self._probe(profile_id)
         except ProbeOperationConflict:
             await asyncio.to_thread(
                 operations.fail, request.operation_id, "model_probe_profile_changed"
             )
-        except Exception:
-            # Unknown dispatch/storage outcomes stay reserved, including across restart.
-            raise ProbeOperationUnavailable("model_probe_operation_unavailable") from None
+        except Exception as exc:
+            if _dispatch_started.get():
+                # Once a request may have reached the provider, preserve the
+                # reservation so a retry cannot duplicate a possibly billed call.
+                raise ProbeOperationUnavailable("model_probe_operation_unavailable") from None
+            logging.getLogger(__name__).warning(
+                "model probe failed before dispatch: %s", type(exc).__name__
+            )
+            await asyncio.to_thread(
+                operations.fail, request.operation_id, "model_probe_execution_failed"
+            )
         finally:
+            _dispatch_started.reset(dispatch_token)
             _operation.reset(token)
         return await asyncio.to_thread(operations.lookup, request.operation_id)
 
@@ -317,6 +328,8 @@ class ModelProber:
         listing_optional: bool = False,
     ) -> ProbeStage:
         await self._check_operation()
+        if _operation.get() is not None:
+            _dispatch_started.set(True)
         started = monotonic()
         try:
             response = await client.request(

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", "ultra"] | 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", "ultra"] | 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 +1,123 @@
+"""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
+import re
+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)
+
+
+def raw_prefix_added(
+    cached: tuple[tuple[str, str | None], ...],
+    current: tuple[tuple[str, str | None], ...],
+    cached_total: int,
+    current_total: int,
+) -> int | None:
+    """How many raws were only put on top of a cached newest-first listing.
+
+    `cached` and `current` are the (raw id, status) of the first page of each
+    listing. The answer is a count when the current page is the cached one
+    with new raws before it and nothing else changed; None when anything else
+    happened (a delete, a status change, a raw dated into the middle), which
+    needs a full re-listing.
+    """
+    added = current_total - cached_total
+    if added <= 0 or added > len(current):
+        return None
+    kept = current[added:]
+    if not kept and cached_total:
+        return None
+    if kept != cached[: len(kept)]:
+        return None
+    return added
+
+
+_WORD = re.compile(r"\w+")
+
+
+def _query_terms(query: str) -> frozenset[str]:
+    """Words of the query, plus character bigrams of unspaced (CJK) words."""
+    terms: set[str] = set()
+    for word in _WORD.findall(query.casefold()):
+        terms.add(word)
+        if not word.isascii() and len(word) > 1:
+            terms.update(word[index : index + 2] for index in range(len(word) - 1))
+    return frozenset(terms)
+
+
+def turns_for_hit(turns: tuple[RawDisplayTurn, ...], query: str) -> tuple[RawDisplayTurn, ...]:
+    """The turns one semantic raw hit shows, never none while it has turns.
+
+    The SDK embeds a whole raw batch, so a vector hit cannot say which of its
+    turns matched. Every turn containing the query text is shown; when none
+    does, the turn sharing the most query terms (the earliest on a tie) stands
+    for the hit. A semantic hit is never dropped for lacking the literal query.
+    """
+    if not turns:
+        return ()
+    needle = query.casefold().strip()
+    if needle:
+        lexical = tuple(turn for turn in turns if needle in turn.content.casefold())
+        if lexical:
+            return lexical
+    terms = _query_terms(query)
+
+    def overlap(turn: RawDisplayTurn) -> tuple[int, int]:
+        content = turn.content.casefold()
+        return (sum(1 for term in terms if term in content), -turn.turn_index)
+
+    return (max(turns, key=overlap),)

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

@@ -11,6 +11,7 @@ instead: plain retrieval over what was imported, the same lane
 from __future__ import annotations
 
 import asyncio
+import re
 import time
 from collections.abc import Awaitable, Callable
 from datetime import UTC, datetime
@@ -46,6 +47,50 @@ def recall_total_timeout_seconds(timeout_ms: int) -> float:
     return min(timeout_ms / 1_000 + RECALL_TOTAL_GRACE_SECONDS, RECALL_TOTAL_CEILING_SECONDS)
 
 
+def _bounded_raw_excerpt(content: str, query: str, limit: int) -> str:
+    """Fit one raw hit without discarding the highest-ranked candidate.
+
+    Prefer the literal query, then its longest matching word. A semantic hit
+    with no lexical anchor keeps its beginning: that is also the part the
+    embedding service preserves when an input exceeds its own token limit.
+    """
+    if len(content) <= limit:
+        return content
+    if limit <= 2:
+        return content[:limit]
+
+    anchor = 0
+    needle = query.strip()
+    if needle:
+        exact = re.search(re.escape(needle), content, re.IGNORECASE)
+        if exact is not None:
+            anchor = exact.start()
+        else:
+            terms = sorted(re.findall(r"\w+", needle), key=len, reverse=True)
+            match = next(
+                (
+                    found
+                    for term in terms
+                    if (found := re.search(re.escape(term), content, re.IGNORECASE)) is not None
+                ),
+                None,
+            )
+            if match is not None:
+                anchor = match.start()
+
+    payload = limit
+    while True:
+        start = max(0, min(anchor - payload // 3, len(content) - payload))
+        end = min(len(content), start + payload)
+        adjusted = limit - int(start > 0) - int(end < len(content))
+        if adjusted == payload:
+            break
+        payload = adjusted
+    prefix = "…" if start > 0 else ""
+    suffix = "…" if end < len(content) else ""
+    return f"{prefix}{content[start:end]}{suffix}"
+
+
 async def recall_with_fallback(
     request: RecallRequest,
     *,
@@ -123,6 +168,9 @@ async def _raw_recall(
         )
     except TimeoutError:
         return receipt(truncated_by=TruncationBudget.TIMEOUT)
+    current_sources = await raw_sources()
+    if sources is not None:
+        sources &= current_sources or frozenset()
     hits: list[RecallHit] = []
     used = 0
     truncated_by: TruncationBudget | None = None
@@ -137,13 +185,23 @@ async def _raw_recall(
                 truncated_by=truncated_by,
                 unexamined=len(found) - index,
             )
-        if used + len(hit.content) > request.character_budget:
+        remaining = request.character_budget - used
+        if remaining <= 0:
+            truncated_by = TruncationBudget.CHARACTER
+            return receipt(
+                tuple(hits),
+                used=used,
+                truncated_by=truncated_by,
+                unexamined=len(found) - index,
+            )
+        content = hit.content
+        if len(content) > remaining:
+            content = _bounded_raw_excerpt(content, request.query, remaining)
             truncated_by = TruncationBudget.CHARACTER
-            continue
         hits.append(
             RecallHit(
                 memory_id=hit.raw_id,
-                content=hit.content,
+                content=content,
                 kind="raw",
                 scopes=(),
                 evidence_ids=(),
@@ -158,5 +216,5 @@ async def _raw_recall(
                 session_id=hit.session_id,
             )
         )
-        used += len(hit.content)
+        used += len(content)
     return receipt(tuple(hits), used=used, truncated_by=truncated_by)

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

@@ -113,6 +113,37 @@ def inspect_runtime(
     )
 
 
+@dataclass(frozen=True)
+class CoreEndpoint:
+    host: Literal["127.0.0.1"]
+    port: int
+    token: str
+
+
+def core_endpoint(
+    data_dir: Path,
+    *,
+    alive: Callable[[int], bool] = process_is_alive,
+) -> CoreEndpoint | None:
+    """Where this home's Core listens and the token it accepts, from files alone.
+
+    The receipt and token checks `inspect_runtime` makes, without its identity
+    round trip: a caller that only has to hand something over quickly lets the
+    authenticated request itself be the proof. None when no live Core is named.
+    """
+    try:
+        raw = (data_dir / "runtime.json").read_text(encoding="utf-8")
+        receipt = _receipt(json.loads(raw))
+    except (OSError, UnicodeError, json.JSONDecodeError):
+        return None
+    if receipt is None or not alive(receipt.pid):
+        return None
+    token = _runtime_token(data_dir)
+    if token is None:
+        return None
+    return CoreEndpoint(host=receipt.host, port=receipt.port, token=token)
+
+
 def _receipt(value: object) -> RuntimeReceipt | None:
     if not isinstance(value, dict):
         return None

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_migration_verify.py

@@ -288,4 +288,3 @@ def verify_readback(
         productivity_readable=sum(1 for memory_id in legacy.productivity if readable(memory_id)),
         chat_missing_before_migration=chat_missing_before_migration,
     )
-

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. |
@@ -122,6 +123,7 @@
 | `test_import_api.py` | `integration` | 覆盖 resume during cleanup returns conflict without internal error、authorize detect import and revoke api flow、protected api rejects missing token and foreign origin 等 5 个场景。 |
 | `test_import_control_races_review.py` | `contract` | Read-only review repro: real runner/store, synthetic delayed adapter cleanup. |
 | `test_import_evidence_atomicity.py` | `contract` | 覆盖 counter failure rolls back evidence versions and cursor、same identity cursor rewind is blocked and logged、replaced identity may reset checkpoint 等 20 个场景。 |
+| `test_import_job_retention.py` | `integration` | `import_jobs` stays bounded, and the questions asked of it are SQL, not scans. |
 | `test_import_oversized_verbatim.py` | `contract` | 覆盖 normal verbatim is unchanged、oversized verbatim is truncated instead of rejected 场景。 |
 | `test_import_runner.py` | `contract` | 覆盖 job transitions are explicit、runner keeps per record errors and continues、sync slices reuse the same source listing 等 22 个场景。 |
 | `test_import_skip_batching.py` | `contract` | 覆盖 batch limit and tail use fewer commits、batched skips keep their order against the next write、flushes before every nonmatching event 等 14 个场景。 |
@@ -136,7 +138,7 @@
 | `test_internal_preset.py` | `contract` | The optional model preset a configured build carries. |
 | `test_jsonl_snapshot_tail.py` | `contract` | Bounded EOF handling on synthetic files only, never original host history. |
 | `test_library_search_window.py` | `unit` | The library search window store and the unified record/keyword parsing. |
-| `test_live_capture.py` | `integration` | Visible hook text lands in Evidence before the transcript file is flushed. |
+| `test_live_capture.py` | `integration` | Hooks hand visible text to Core, which stages it once, without Evidence. |
 | `test_live_sync.py` | `contract` | 覆盖 live sync preempts a reader batch before it emits work、live sync cuts in front of a running history import、live sync does not resume a history import the user paused 等 24 个场景。 |
 | `test_live_sync_file_incremental.py` | `contract` | 覆盖 unchanged file metadata avoids a job and content read、changed file content is read once by the import job、workbuddy first live poll baselines history then imports only append 等 6 个场景。 |
 | `test_live_sync_job_coalescing.py` | `contract` | A poll that finds nothing must not leave an import job behind. |
@@ -212,6 +214,7 @@
 | `test_onboarding_profile.py` | `integration` | R-09：首次安装引导把画像录下来，不问用户一句话。 |
 | `test_oversized_file_guard.py` | `contract` | One pass over a source file is bounded by a byte budget, not skipped. |
 | `test_parent_watchdog.py` | `integration` | A Core that outlives its launcher makes the next launch impossible. |
+| `test_pinned_sdk_raw_search.py` | `integration` | MemHub's raw search against the hy-memory wheel it pins, not the repo source. |
 | `test_policy_api_wiring.py` | `integration` | 覆盖 global model permission off does not backfill、backfill puts history on write jobs without scheduling memory tasks、source pause skips history until the source is reenabled 场景。 |
 | `test_policy_production_entry.py` | `contract` | 覆盖 production serve passes only supported app options、maintenance serve does not own the runtime 场景。 |
 | `test_precipitation_concurrency_setting.py` | `contract` | Rule 2/9: precipitation concurrency is configurable, not hardcoded to 1. |
@@ -320,4 +323,4 @@
 | `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 318 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 = 318
+EXPECTED_TEST_FILES_SHA256 = "df8752566a0bf9e540f68b4948f3f5dbc409bd6836707b1330206e2349d70940"
 
 # Pure transformations, validation models, parity checks and state machines.
 # This list is intentionally small: uncertain files default to contract.
@@ -70,6 +70,7 @@ INTEGRATION_FILES = frozenset(
         "test_file_import_operations.py",
         "test_graph_width_endpoint.py",
         "test_import_api.py",
+        "test_import_job_retention.py",
         "test_live_capture.py",
         "test_live_watch_grants.py",
         "test_log_privacy.py",
@@ -93,6 +94,7 @@ INTEGRATION_FILES = frozenset(
         "test_model_profile_context_reset.py",
         "test_onboarding_profile.py",
         "test_parent_watchdog.py",
+        "test_pinned_sdk_raw_search.py",
         "test_policy_api_wiring.py",
         "test_recall_scope_control.py",
         "test_retrieval_lifespan.py",

memhub/apps/core/tests/graph_fixtures.py

@@ -39,8 +39,7 @@ def kuzu_graph_with_embedding_width(db_path: Path, width: int) -> None:
     database = kuzu.Database(str(db_path))
     connection = kuzu.Connection(database)
     connection.execute(
-        f"CREATE NODE TABLE Memory("
-        f"node_id STRING, embedding FLOAT[{width}], PRIMARY KEY(node_id))"
+        f"CREATE NODE TABLE Memory(node_id STRING, embedding FLOAT[{width}], PRIMARY KEY(node_id))"
     )
     del connection
     del database

memhub/apps/core/tests/measure_c1_recall_during_import.py

@@ -29,7 +29,6 @@ from one_memory.imports.sources.registry import (
     build_source_catalog,
 )
 from one_memory.imports.supervisor import ImportSupervisor
-from one_memory.live_capture import capture_hook
 
 FREEZE_THRESHOLD_SECONDS = 1.0
 
@@ -228,31 +227,17 @@ async def _run(
 
         hook_text = "realtime hook while history import is running"
         hook_started = time.monotonic()
-        result["hook_accepted"] = await asyncio.to_thread(
-            capture_hook,
-            "workbuddy",
-            {
+        # A hook hands its turn to Core over loopback; it no longer writes the
+        # database itself. What is measured is that hand-off under import load.
+        handed = await client.post(
+            "/api/v1/live-capture/workbuddy",
+            json={
                 "hook_event_name": "UserPromptSubmit",
                 "session_id": "pressure-live-session",
                 "prompt": hook_text,
             },
-            app.state.evidence_store.database_path,
         )
-        hook_deadline = hook_started + 10
-        hook_stored = False
-        while time.monotonic() < hook_deadline:
-            with sqlite3.connect(app.state.evidence_store.database_path) as connection:
-                hook_stored = (
-                    connection.execute(
-                        "SELECT 1 FROM evidence WHERE source_id='workbuddy' AND verbatim=?",
-                        (hook_text,),
-                    ).fetchone()
-                    is not None
-                )
-            if hook_stored:
-                break
-            await asyncio.sleep(0.01)
-        result["hook_stored"] = hook_stored
+        result["hook_accepted"] = handed.status_code == 202
         result["hook_visible_ms"] = round((time.monotonic() - hook_started) * 1000, 1)
 
         during, during_unavailable, sampled_terminal = await _measure_recall_until(

memhub/apps/core/tests/test_architecture_layer_gate.py

@@ -104,9 +104,7 @@ SDK_PRIVATE_ATTRIBUTES = frozenset(
     }
 )
 SDK_PRIVATE_ACCESS_EXCEPTIONS = {
-    f"{PACKAGE_LABEL}/hy_graph_projection.py": frozenset(
-        {"_graph_store", "_loop_thread", "_run"}
-    ),
+    f"{PACKAGE_LABEL}/hy_graph_projection.py": frozenset({"_graph_store", "_loop_thread", "_run"}),
     # Startup migration runs while Runtime writers are stopped. It is the one
     # non-runtime path allowed to manipulate SDK storage directly so that
     # migration-only mechanics never become public HyMemoryClient methods.
@@ -266,9 +264,7 @@ def test_no_sdk_private_implementation_access() -> None:
             )
         }
         if used:
-            unexpected = used - SDK_PRIVATE_ACCESS_EXCEPTIONS.get(
-                relative, frozenset()
-            )
+            unexpected = used - SDK_PRIVATE_ACCESS_EXCEPTIONS.get(relative, frozenset())
             if unexpected:
                 offenders.append(f"{relative}: {sorted(unexpected)}")
     assert not offenders, (
@@ -291,9 +287,7 @@ def test_sdk_modules_import_only_the_public_package_root() -> None:
             ):
                 offenders.append(relative)
                 break
-            if isinstance(node, ast.ImportFrom) and (
-                node.module or ""
-            ).startswith("hy_memory."):
+            if isinstance(node, ast.ImportFrom) and (node.module or "").startswith("hy_memory."):
                 offenders.append(relative)
                 break
             if (

memhub/apps/core/tests/test_capture_deadline.py

@@ -131,3 +131,24 @@ def test_run_as_the_entry_it_ends_itself_while_still_importing(tmp_path) -> None
         _reap([process])
     assert process.returncode == -signal.SIGALRM
     assert time.monotonic() - started < 10
+
+
+def test_with_no_core_a_real_capture_exits_at_once_and_writes_nothing(tmp_path) -> None:
+    # The process a host actually starts: no Core is running for this home,
+    # so the turn is dropped. Nothing may fall back to writing the database.
+    data_dir = tmp_path / "data"
+    env = {
+        key: value for key, value in os.environ.items() if key != "ONE_MEMORY_CAPTURE_DEADLINE_S"
+    }
+    env.update(HOME=str(tmp_path), ONE_MEMORY_DATA_DIR=str(data_dir))
+    payload = b'{"hook_event_name": "UserPromptSubmit", "session_id": "s", "prompt": "hi"}'
+    result = subprocess.run(
+        [sys.executable, "-m", "one_memory.cli", "capture", "workbuddy"],
+        input=payload,
+        capture_output=True,
+        env=env,
+        timeout=60,
+        check=False,
+    )
+    assert (result.returncode, result.stdout, result.stderr) == (0, b"", b"")
+    assert not (data_dir / "one-memory.sqlite3").exists()

memhub/apps/core/tests/test_context_access.py

@@ -16,6 +16,8 @@ def database(tmp_path):
     path = tmp_path / "context.sqlite3"
     with closing(sqlite3.connect(path)) as db, db:
         db.execute("CREATE TABLE source_grants(user_id TEXT, source_id TEXT, revoked_at TEXT)")
+        db.execute("INSERT INTO source_grants VALUES('local','cursor',NULL)")
+        db.execute("INSERT INTO source_grants VALUES('local','codex',NULL)")
         db.execute("INSERT INTO source_grants VALUES('local','revoked','2026-09-19')")
         db.execute("INSERT INTO source_grants VALUES('other','cursor','2026-09-19')")
     return path
@@ -43,16 +45,14 @@ def test_memory_only_never_reads_raw_authority(database, monkeypatch):
     assert not result.raw_allowed and result.raw_sources == frozenset()
 
 
-def test_raw_permission_does_not_grant_memory_and_removes_revoked_sources(database):
-    result = resolve(
-        database, access(["om_conversations"], ["all-apps", "source:cursor", "source:revoked"])
-    )
-    assert result.raw_allowed and result.raw_sources == frozenset({"cursor"})
+def test_all_apps_raw_reads_every_connected_source_and_removes_revoked_sources(database):
+    result = resolve(database, access(["om_conversations"], ["all-apps", "source:cursor"]))
+    assert result.raw_allowed and result.raw_sources == frozenset({"cursor", "codex"})
     assert not result.memory_allowed
 
 
-@pytest.mark.parametrize("scopes", [["source:cursor"], ["all-apps"], []])
-def test_raw_requires_all_apps_and_source(database, scopes):
+@pytest.mark.parametrize("scopes", [["source:cursor"], []])
+def test_raw_requires_all_apps(database, scopes):
     with pytest.raises(HTTPException) as error:
         resolve(database, access(["om_conversations"], scopes))
     assert error.value.status_code == 403
@@ -80,9 +80,7 @@ def test_explicit_raw_filter_must_be_currently_authorized(database, source):
     with pytest.raises(HTTPException) as error:
         resolve(
             database,
-            access(
-                ["om_recall", "om_conversations"], ["all-apps", "source:cursor", "source:revoked"]
-            ),
+            access(["om_recall", "om_conversations"], ["all-apps"]),
             raw_source_ids=(source,),
         )
     assert error.value.status_code == 403
@@ -104,10 +102,19 @@ def test_filters_do_not_change_memory_scope(database):
     assert result.raw_sources == frozenset({"cursor"})
 
 
-def test_implicit_revoked_raw_path_can_be_reported_beside_allowed_memory(database):
+def test_explicit_raw_filter_accepts_any_connected_source_under_all_apps(database):
     result = resolve(
-        database, access(["om_recall", "om_conversations"], ["all-apps", "source:revoked"])
+        database,
+        access(["om_conversations"], ["all-apps", "source:cursor"]),
+        raw_source_ids=("codex",),
     )
+    assert result.raw_allowed and result.raw_sources == frozenset({"codex"})
+
+
+def test_no_connected_raw_source_can_be_reported_beside_allowed_memory(database):
+    with closing(sqlite3.connect(database)) as db, db:
+        db.execute("UPDATE source_grants SET revoked_at='2026-09-20' WHERE user_id='local'")
+    result = resolve(database, access(["om_recall", "om_conversations"], ["all-apps"]))
     assert result.memory_allowed and not result.raw_allowed
 
 
@@ -124,7 +131,7 @@ def test_expired_deadline_does_not_open_database(database, monkeypatch):
     with pytest.raises(TimeoutError):
         resolve_context_authority(
             ContextSearchRequest(query="x"),
-            access(["om_conversations"], ["all-apps", "source:cursor"]),
+            access(["om_conversations"], ["all-apps"]),
             database,
             deadline=time.monotonic() - 1,
         )

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_external_installation_permissions.py

@@ -53,8 +53,8 @@ def test_external_marker_is_not_an_installation_grant(tmp_path):
                 "/api/v2/memories/ask", json={"question": "history"}, headers=headers()
             )
             assert denied_tool.status_code == 403
-            # om_conversations reaches Core only as the v2 raw lane, and only
-            # with a source grant: all-apps alone opens no raw source.
+            # om_conversations reaches Core only as the v2 raw lane. all-apps
+            # has nothing to open because this fresh home has no connected source.
             no_raw = await client.post(
                 "/api/v2/context/search",
                 json={"query": "history", "kinds": ["raw"]},

memhub/apps/core/tests/test_health.py

@@ -150,7 +150,18 @@ def test_lifespan_content_backfill_failure_is_visible(tmp_path, monkeypatch) ->
 
     async def scenario() -> None:
         async with app.router.lifespan_context(app):
-            health = await _get_json(app, "/api/v1/health")
+            # The rebuild is released when post-ready recovery finishes, and
+            # recovery now resumes imports off the loop, so it can still be
+            # running at the first request.
+            for _ in range(500):
+                if app.state.recovery in {"done", "failed"}:
+                    break
+                await asyncio.sleep(0.01)
+            for _ in range(500):
+                health = await _get_json(app, "/api/v1/health")
+                if health["content_candidate_backfill"] != "running":
+                    break
+                await asyncio.sleep(0.01)
             assert health["content_candidate_backfill"] == "failed"
             assert health["content_candidate_backfill_failure"] == "database_locked"
 

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_import_api.py

@@ -34,10 +34,10 @@ def test_resume_during_cleanup_returns_conflict_without_internal_error(tmp_path,
             job = supervisor.job_store.create(user_id="local", source_id="fixture")
             supervisor.job_store.transition(job.job_id, ImportStatus.PAUSED)
 
-            def draining(_job_id):
+            async def draining(_job_id):
                 raise InvalidJobTransitionError("import_cleanup_in_progress")
 
-            monkeypatch.setattr(supervisor, "resume", draining)
+            monkeypatch.setattr(supervisor, "resume_off_loop", draining)
             response = await client.post(f"/api/v1/import-jobs/{job.job_id}/resume")
             assert response.status_code == 409
             assert response.json() == {"detail": "invalid_job_transition"}

memhub/apps/core/tests/test_import_job_retention.py

@@ -0,0 +1,383 @@
+"""`import_jobs` stays bounded, and the questions asked of it are SQL, not scans.
+
+Live sync opened a job per change it imported and nothing ever removed one, so
+the table only grew; every caller then read all of it and filtered in Python.
+These tests hold the three halves of the fix: what pruning keeps, that the
+filtered queries answer exactly what the old filters did, and that the indexes
+behind them arrive by migration.
+"""
+
+from __future__ import annotations
+
+import asyncio
+import random
+import sqlite3
+from datetime import UTC, datetime, timedelta
+
+import pytest
+from httpx import ASGITransport, AsyncClient
+from pydantic import SecretStr
+
+from one_memory.api import _prune_finished_import_jobs, create_app
+from one_memory.config import Settings
+from one_memory.imports.jobs import (
+    FINISHED_STATUSES,
+    SYNC_JOBS_KEPT_PER_SOURCE,
+    ImportJob,
+    ImportJobStore,
+    ImportStatus,
+)
+from one_memory.memory_server.migration_runner import SqliteMigrationStore, migrate
+from one_memory.memory_server.migrations import (
+    IMPORT_JOB_LOOKUP_INDEXES_MIGRATION_VERSION,
+    MIGRATIONS,
+)
+
+_BASE = datetime(2026, 1, 1, tzinfo=UTC)
+
+
+def _store(tmp_path) -> ImportJobStore:
+    return ImportJobStore(tmp_path / "one-memory.sqlite3")
+
+
+def _job(
+    store: ImportJobStore,
+    *,
+    user_id: str = "local",
+    source_id: str = "fixture",
+    operation: str = "sync",
+    status: ImportStatus = ImportStatus.COMPLETED,
+    minute: int,
+    issue: bool = False,
+) -> str:
+    """Insert one row as its terminal shape, at a chosen creation time."""
+    created = (_BASE + timedelta(minutes=minute)).isoformat()
+    job_id = f"{source_id}-{user_id}-{operation}-{minute:05d}"
+    with store._connect(writing=True) as connection:
+        connection.execute(
+            "INSERT INTO import_jobs (job_id,user_id,source_id,status,created_at,updated_at,"
+            "operation) VALUES (?,?,?,?,?,?,?)",
+            (job_id, user_id, source_id, status, created, created, operation),
+        )
+        if issue:
+            connection.execute(
+                "INSERT INTO import_issues (job_id,kind,conversation_id,reason,created_at) "
+                "VALUES (?,'error',NULL,'synthetic_reason',?)",
+                (job_id, created),
+            )
+            connection.execute(
+                "INSERT INTO import_skip_reason_counts (job_id,reason,count) VALUES (?,'r',1)",
+                (job_id,),
+            )
+    return job_id
+
+
+def _ids(store: ImportJobStore, **filters) -> list[str]:
+    return [job.job_id for job in store.find_jobs(**filters)]
+
+
+def _count(store: ImportJobStore, table: str, job_id: str) -> int:
+    with store._connect() as connection:
+        return int(
+            connection.execute(
+                f"SELECT COUNT(*) FROM {table} WHERE job_id=?", (job_id,)
+            ).fetchone()[0]
+        )
+
+
+def test_pruning_keeps_the_newest_finished_syncs_of_every_source(tmp_path) -> None:
+    store = _store(tmp_path)
+    keep = 5
+    for source in ("alpha", "beta"):
+        for minute in range(12):
+            status = ImportStatus.CANCELLED if minute % 4 == 0 else ImportStatus.COMPLETED
+            _job(store, source_id=source, minute=minute, status=status, issue=True)
+    # A source with fewer than `keep` keeps all of them.
+    for minute in range(3):
+        _job(store, source_id="gamma", minute=minute)
+    # Never pruned: the active sync, history of any state, another user's lane.
+    running = _job(store, source_id="alpha", minute=1000, status=ImportStatus.RUNNING)
+    failed_history = _job(
+        store, source_id="alpha", operation="history", minute=2, status=ImportStatus.FAILED
+    )
+    histories = [
+        _job(store, source_id="alpha", operation="history", minute=100 + minute)
+        for minute in range(10)
+    ]
+    other_user = [_job(store, user_id="other", source_id="alpha", minute=m) for m in range(8)]
+
+    removed = store.prune_finished_sync_jobs(keep=keep)
+
+    assert removed == (12 - keep) * 2 + (8 - keep)
+    for source in ("alpha", "beta"):
+        finished = _ids(
+            store, user_id="local", source_id=source, operation="sync", statuses=FINISHED_STATUSES
+        )
+        assert finished == [f"{source}-local-sync-{m:05d}" for m in range(12 - keep, 12)]
+        # Their issues and skip counts went with them; the kept ones still have theirs.
+        assert _count(store, "import_issues", f"{source}-local-sync-00000") == 0
+        assert _count(store, "import_skip_reason_counts", f"{source}-local-sync-00000") == 0
+        assert _count(store, "import_issues", f"{source}-local-sync-00011") == 1
+    assert len(_ids(store, source_id="gamma")) == 3
+    assert store.require(running).status is ImportStatus.RUNNING
+    assert store.require(failed_history).status is ImportStatus.FAILED
+    assert all(store.get(job_id) is not None for job_id in histories)
+    assert _ids(store, user_id="other") == other_user[-keep:]
+    # The newest job of every lane, which the App and live sync health show,
+    # is always kept.
+    assert store.latest_job(user_id="local", source_id="beta").job_id == "beta-local-sync-00011"
+
+    before = _ids(store)
+    assert store.prune_finished_sync_jobs(keep=keep) == 0
+    assert _ids(store) == before
+
+
+def test_pruning_is_bounded_per_call_and_finishes_when_repeated(tmp_path) -> None:
+    store = _store(tmp_path)
+    for minute in range(60):
+        _job(store, minute=minute)
+
+    passes = []
+    while True:
+        removed = store.prune_finished_sync_jobs(keep=10, max_rows=15)
+        passes.append(removed)
+        if removed < 15:
+            break
+
+    assert passes == [15, 15, 15, 5]
+    assert len(_ids(store)) == 10
+
+
+def test_the_default_keep_count_is_twenty(tmp_path) -> None:
+    store = _store(tmp_path)
+    for minute in range(SYNC_JOBS_KEPT_PER_SOURCE + 7):
+        _job(store, minute=minute)
+    assert store.prune_finished_sync_jobs() == 7
+    assert len(_ids(store)) == SYNC_JOBS_KEPT_PER_SOURCE == 20
+
+
+def test_startup_pruning_runs_to_completion_off_the_loop(tmp_path) -> None:
+    store = _store(tmp_path)
+    for minute in range(500):
+        _job(store, minute=minute)
+
+    async def scenario() -> None:
+        task = asyncio.create_task(_prune_finished_import_jobs(store, interval_seconds=3600))
+        for _ in range(500):
+            await asyncio.sleep(0.01)
+            if len(await asyncio.to_thread(_ids, store)) == SYNC_JOBS_KEPT_PER_SOURCE:
+                break
+        task.cancel()
+        with pytest.raises(asyncio.CancelledError):
+            await task
+
+    asyncio.run(scenario())
+    assert len(_ids(store)) == SYNC_JOBS_KEPT_PER_SOURCE
+
+
+def test_filtered_queries_answer_what_the_python_filters_did(tmp_path) -> None:
+    store = _store(tmp_path)
+    rng = random.Random(7)
+    lanes = [(user, source) for user in ("local", "other") for source in ("a", "b", "c")]
+    for minute in range(240):
+        user, source = rng.choice(lanes)
+        _job(
+            store,
+            user_id=user,
+            source_id=source,
+            operation=rng.choice(("sync", "history")),
+            # Only terminal shapes: the active-slot index allows one active job per lane.
+            status=rng.choice(FINISHED_STATUSES),
+            minute=minute,
+        )
+    everything: list[ImportJob] = store.list_jobs()
+    assert len(everything) == 240
+
+    status_sets = [
+        None,
+        (ImportStatus.COMPLETED,),
+        (ImportStatus.CANCELLED, ImportStatus.COMPLETED),
+        (ImportStatus.RUNNING,),
+    ]
+    for user_id in (None, "local", "other"):
+        for source_id in (None, "a", "c"):
+            for operation in (None, "sync", "history"):
+                for statuses in status_sets:
+                    expected = [
+                        job
+                        for job in everything
+                        if (user_id is None or job.user_id == user_id)
+                        and (source_id is None or job.source_id == source_id)
+                        and (operation is None or job.operation == operation)
+                        and (statuses is None or job.status in statuses)
+                    ]
+                    found = store.find_jobs(
+                        user_id=user_id,
+                        source_id=source_id,
+                        operation=operation,
+                        statuses=statuses,
+                    )
+                    assert found == expected
+                    newest = store.find_jobs(
+                        user_id=user_id,
+                        source_id=source_id,
+                        operation=operation,
+                        statuses=statuses,
+                        newest_first=True,
+                        limit=1,
+                    )
+                    assert newest == (
+                        [max(expected, key=lambda job: (job.created_at, job.job_id))]
+                        if expected
+                        else []
+                    )
+    for status in ImportStatus:
+        assert store.list_jobs(status=status) == [job for job in everything if job.status is status]
+    assert store.find_jobs(statuses=()) == []
+
+
+def test_the_lookup_indexes_arrive_by_migration_and_serve_the_lane_query(tmp_path) -> None:
+    path = tmp_path / "one-memory.sqlite3"
+    older = tuple(
+        item for item in MIGRATIONS if item.version < IMPORT_JOB_LOOKUP_INDEXES_MIGRATION_VERSION
+    )
+    asyncio.run(migrate(SqliteMigrationStore(path), older))
+    with sqlite3.connect(path) as database:
+        before = {
+            row[0] for row in database.execute("SELECT name FROM sqlite_master WHERE type='index'")
+        }
+    assert "import_jobs_lane" not in before
+
+    result = asyncio.run(migrate(SqliteMigrationStore(path), MIGRATIONS))
+
+    assert result.applied == (IMPORT_JOB_LOOKUP_INDEXES_MIGRATION_VERSION,)
+    with sqlite3.connect(path) as database:
+        indexes = {
+            row[0] for row in database.execute("SELECT name FROM sqlite_master WHERE type='index'")
+        }
+        plan = " ".join(
+            str(row[-1])
+            for row in database.execute(
+                "EXPLAIN QUERY PLAN SELECT * FROM import_jobs "
+                "WHERE user_id=? AND source_id=? AND operation=? AND status IN (?,?) "
+                "ORDER BY created_at DESC LIMIT 1",
+                ("local", "fixture", "sync", "pending", "running"),
+            )
+        )
+    assert {"import_jobs_lane", "import_jobs_status"} <= indexes
+    assert "import_jobs_lane" in plan
+    # Re-running it is a no-op, and a store opened on the database agrees.
+    asyncio.run(migrate(SqliteMigrationStore(path), MIGRATIONS))
+    ImportJobStore(path)
+
+
+def test_a_running_home_gets_the_indexes_from_the_store(tmp_path) -> None:
+    path = tmp_path / "one-memory.sqlite3"
+    ImportJobStore(path)
+    with sqlite3.connect(path) as database:
+        database.execute("DROP INDEX import_jobs_lane")
+        database.execute("DROP INDEX import_jobs_status")
+    ImportJobStore(path)
+    with sqlite3.connect(path) as database:
+        indexes = {
+            row[0] for row in database.execute("SELECT name FROM sqlite_master WHERE type='index'")
+        }
+    assert {"import_jobs_lane", "import_jobs_status"} <= indexes
+
+
+def test_the_mysql_rendering_tolerates_an_index_already_there() -> None:
+    class Cursor:
+        dialect = "mysql"
+
+        def __init__(self) -> None:
+            self.attempted: list[str] = []
+
+        async def execute(self, statement: str) -> None:
+            self.attempted.append(statement)
+            raise RuntimeError(1061, "duplicate key name")
+
+    cursor = Cursor()
+    migration = next(
+        item for item in MIGRATIONS if item.version == IMPORT_JOB_LOOKUP_INDEXES_MIGRATION_VERSION
+    )
+    asyncio.run(migration.apply(cursor))
+    assert cursor.attempted and "import_jobs" in cursor.attempted[0]
+
+
+def test_the_import_jobs_route_keeps_its_shape_and_order(tmp_path) -> None:
+    async def scenario() -> None:
+        app = create_app(
+            Settings(
+                data_dir=tmp_path / "data",
+                source_home=tmp_path / "home",
+                api_token=SecretStr("synthetic"),
+                automatic_memory_processing=False,
+                live_sync_enabled=False,
+            )
+        )
+        async with (
+            app.router.lifespan_context(app),
+            AsyncClient(
+                transport=ASGITransport(app=app),
+                base_url="http://test",
+                headers={"Authorization": "Bearer synthetic"},
+            ) as client,
+        ):
+            store: ImportJobStore = app.state.import_job_store
+            for minute in (3, 1, 2):
+                _job(store, source_id="fixture", minute=minute)
+            _job(store, source_id="fixture", operation="history", minute=0)
+            _job(store, user_id="other", source_id="hermes", minute=4)
+
+            response = await client.get("/api/v1/import-jobs")
+            other = await client.get("/api/v1/import-jobs", params={"user_id": "other"})
+
+            assert response.status_code == 200
+            body = response.json()
+            expected = [job for job in store.list_jobs() if job.user_id == "local"]
+            assert [item["job_id"] for item in body] == [job.job_id for job in expected]
+            assert [item["created_at"] for item in body] == sorted(
+                item["created_at"] for item in body
+            )
+            assert set(body[0]) == set(ImportJob.model_fields)
+            assert [item["user_id"] for item in other.json()] == ["other"]
+
+    asyncio.run(scenario())
+
+
+def test_memory_processing_reports_the_write_drain(tmp_path) -> None:
+    async def scenario() -> None:
+        app = create_app(
+            Settings(
+                data_dir=tmp_path / "data",
+                source_home=tmp_path / "home",
+                api_token=SecretStr("synthetic"),
+                automatic_memory_processing=False,
+                live_sync_enabled=False,
+            )
+        )
+        async with (
+            app.router.lifespan_context(app),
+            AsyncClient(
+                transport=ASGITransport(app=app),
+                base_url="http://test",
+                headers={"Authorization": "Bearer synthetic"},
+            ) as client,
+        ):
+            for _ in range(500):
+                if app.state.recovery in {"done", "failed"}:
+                    break
+                await asyncio.sleep(0.01)
+            body = (await client.get("/api/v1/memory-processing")).json()
+            assert body["write_drain"] == "running"
+            assert body["write_drain_error"] is None
+
+            drain = app.state.memory_write_drain
+            drain.liveness = "restarting"
+            drain.last_error_code = "operational_error"
+            body = (await client.get("/api/v1/memory-processing")).json()
+            assert body["write_drain"] == "restarting"
+            assert body["write_drain_error"] == "operational_error"
+            drain.liveness = "running"
+
+    asyncio.run(scenario())

memhub/apps/core/tests/test_import_supervisor.py

@@ -415,15 +415,15 @@ def test_shutdown_preserves_a_job_that_finished_after_the_running_snapshot(
         task = asyncio.create_task(waiting())
         supervisor._tasks[job.job_id] = task
         await asyncio.sleep(0)
-        original = jobs.list_jobs
+        original = jobs.find_jobs
 
         def finish_after_snapshot(*args, **kwargs):
             found = original(*args, **kwargs)
-            if kwargs.get("status") is ImportStatus.RUNNING:
+            if tuple(kwargs.get("statuses") or ()) == (ImportStatus.RUNNING,):
                 jobs.finish_owned(job.job_id, runner_token=token, target=terminal)
             return found
 
-        monkeypatch.setattr(jobs, "list_jobs", finish_after_snapshot)
+        monkeypatch.setattr(jobs, "find_jobs", finish_after_snapshot)
         try:
             await supervisor.shutdown()
             assert jobs.require(job.job_id).status is terminal
@@ -433,3 +433,45 @@ def test_shutdown_preserves_a_job_that_finished_after_the_running_snapshot(
             await asyncio.gather(task, return_exceptions=True)
 
     asyncio.run(scenario())
+
+
+def test_abandon_makes_its_database_calls_off_the_event_loop(tmp_path, monkeypatch) -> None:
+    """Live sync abandons from its poll; a writer wait there froze the whole Core."""
+    import threading
+
+    async def scenario() -> None:
+        evidence, jobs = stores(tmp_path)
+        supervisor = ImportSupervisor(adapters={}, evidence_store=evidence, job_store=jobs)
+        job = jobs.create(user_id="local", source_id="fixture", operation="sync")
+        job, _token = jobs.claim(job.job_id)
+        loop_thread = threading.current_thread()
+        calls: list[tuple[str, threading.Thread]] = []
+        for name in ("require", "interrupt_running"):
+            original = getattr(jobs, name)
+
+            def recorded(*args, _name=name, _original=original, **kwargs):
+                calls.append((_name, threading.current_thread()))
+                return _original(*args, **kwargs)
+
+            monkeypatch.setattr(jobs, name, recorded)
+
+        async def wedged() -> None:
+            # Ignores the first cancel, like a runner stuck in a thread.
+            try:
+                await asyncio.Event().wait()
+            except asyncio.CancelledError:
+                await asyncio.sleep(0.2)
+
+        task = asyncio.create_task(wedged())
+        supervisor._tasks[job.job_id] = task
+        await asyncio.sleep(0)
+        try:
+            assert await supervisor.abandon(job.job_id, timeout=0.01) is False
+        finally:
+            await asyncio.gather(task, return_exceptions=True)
+
+        assert {name for name, _thread in calls} == {"require", "interrupt_running"}
+        assert all(thread is not loop_thread for _name, thread in calls)
+        assert jobs.require(job.job_id).status is ImportStatus.INTERRUPTED
+
+    asyncio.run(scenario())

memhub/apps/core/tests/test_live_watch.py

@@ -293,6 +293,9 @@ def test_health_states_that_watching_is_layered_on_the_timer(tmp_path: Path) ->
 
         assert live.health(PI_DESCRIPTOR.source_id).mode == "watch_and_polling"
         assert live.health("unknown-source").mode == "watch_and_polling"
+        live.set_watched_sources((PI_DESCRIPTOR.source_id,))
+        assert live._poll_interval(PI_DESCRIPTOR.source_id) == max(live.interval_seconds, 15 * 60)
+        assert live._poll_interval("unknown-source") == live.interval_seconds
         await imports.shutdown()
 
     asyncio.run(scenario())
@@ -641,3 +644,32 @@ def _job(*, created_at: datetime) -> ImportJob:
         created_at=created_at,
         updated_at=datetime.now(UTC),
     )
+
+
+def test_attributing_changed_paths_happens_off_the_event_loop(tmp_path: Path, monkeypatch) -> None:
+    """Resolving a host's batch of changed paths blocked the loop for seconds."""
+    import threading
+
+    async def scenario() -> None:
+        root, (_evidence, live, imports) = _source(tmp_path)
+        watch = FileWatchLiveSync(
+            roots={PI_DESCRIPTOR.source_id: root},
+            supervisor=live,
+            debounce_seconds=0.1,
+            min_interval_seconds=0.1,
+        )
+        loop_thread = threading.current_thread()
+        resolved_on: list[threading.Thread] = []
+        original = watch.source_for
+
+        def recorded(path: Path) -> str | None:
+            resolved_on.append(threading.current_thread())
+            return original(path)
+
+        monkeypatch.setattr(watch, "source_for", recorded)
+
+        assert await watch.handle_changes({tmp_path / "elsewhere/session.jsonl"}) == ()
+        assert resolved_on and loop_thread not in resolved_on
+        await imports.shutdown()
+
+    asyncio.run(scenario())

memhub/apps/core/tests/test_main_database_access.py

@@ -318,9 +318,31 @@ def test_main_database_checkpoints_on_a_write_cadence(tmp_path, monkeypatch):
     with database.write() as db, db:
         db.execute("UPDATE counter SET value = 2 WHERE id = 1")
 
+    assert _access.wait_for_cadence_checkpoints()
     assert checkpoints and checkpoints[0][0] == "PASSIVE"
 
 
+def test_the_cadence_checkpoint_does_not_run_on_the_writing_thread(tmp_path, monkeypatch):
+    """The thread that wrote returns at once; the checkpointer takes the next turn."""
+    path = _database(tmp_path)
+    database = main_database(path)
+    ran_on = []
+    original = database._checkpoint_from_maintenance
+
+    def observed(mode):
+        ran_on.append(threading.current_thread().name)
+        return original(mode)
+
+    monkeypatch.setattr(database, "_checkpoint_from_maintenance", observed)
+    monkeypatch.setattr(_access, "MAIN_DATABASE_CHECKPOINT_WRITE_INTERVAL", 1)
+
+    with database.write() as db, db:
+        db.execute("UPDATE counter SET value = 1 WHERE id = 1")
+
+    assert _access.wait_for_cadence_checkpoints()
+    assert ran_on == ["one-memory-checkpoint"]
+
+
 def test_main_database_warns_when_wal_stays_above_the_high_water_mark(
     tmp_path, monkeypatch, caplog
 ):
@@ -332,6 +354,7 @@ def test_main_database_warns_when_wal_stays_above_the_high_water_mark(
 
     with database.write() as db, db:
         db.execute("UPDATE counter SET value = 1 WHERE id = 1")
+    assert _access.wait_for_cadence_checkpoints()
 
     assert any("main_database_wal_high" in record.message for record in caplog.records)
 
@@ -349,6 +372,7 @@ def test_a_wal_whose_frames_are_all_checkpointed_is_not_reported_high(
 
     with database.write() as db, db:
         db.execute("UPDATE counter SET value = 1 WHERE id = 1")
+    assert _access.wait_for_cadence_checkpoints()
 
     assert database._wal_bytes() > 0
     assert not any("main_database_wal_high" in record.message for record in caplog.records)

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)
@@ -5442,3 +5528,190 @@ def test_a_disabled_source_suspends_its_jobs_and_enabling_it_resumes_them(tmp_pa
     assert runtime.status_counts() == {PENDING: 3, COMPLETED: 1}
     assert runtime.queue_depths().fresh == 3
     assert len(drain.claim(limit=10)) == 1
+
+
+def test_a_claim_path_error_restarts_the_drain_and_later_jobs_still_run(
+    tmp_path, monkeypatch
+) -> None:
+    """An unexpected SQLite error on the claim path used to end the drain for good."""
+    from one_memory.memory_server import durable_queue as _queue_module
+
+    queue = DurableWriteQueue(tmp_path / "one-memory.sqlite3")
+    queue.submit(_request(key="later", source="cursor"))
+    reported: list[tuple[str, BaseException]] = []
+    monkeypatch.setattr(
+        _queue_module,
+        "report_exception",
+        lambda component, event, error, **_kwargs: reported.append((event, error)),
+    )
+
+    async def execute(job_id: str) -> None:
+        queue.settle(job_id, state=COMPLETED)
+        drain.stop()
+
+    drain = DurableWriteDrain(queue, execute=execute, max_concurrent_sources=1)
+    real_claim = drain.claim
+    calls = {"claim": 0}
+
+    def failing_once(**kwargs):
+        calls["claim"] += 1
+        if calls["claim"] == 1:
+            raise sqlite3.OperationalError("disk I/O error")
+        return real_claim(**kwargs)
+
+    monkeypatch.setattr(drain, "claim", failing_once)
+    first_owner = drain.owner
+
+    asyncio.run(
+        asyncio.wait_for(
+            drain.run_supervised(idle_pause=0.005, restart_backoff=0.01, max_restart_backoff=0.05),
+            2,
+        )
+    )
+
+    assert queue.get("later").state == COMPLETED
+    assert drain.restarts == 1
+    assert drain.last_error_code == "operational_error"
+    assert drain.liveness == "stopped"
+    # A restarted drain leases under a new name: nothing the old one left in a
+    # pool thread can renew or settle as it.
+    assert drain.owner != first_owner
+    assert [event for event, _error in reported] == ["memory.write_queue.drain_exited"]
+    assert reported[0][1].__traceback__ is not None
+
+
+def test_a_claim_gate_exception_restarts_the_drain(tmp_path, monkeypatch) -> None:
+    from one_memory.memory_server import durable_queue as _queue_module
+
+    monkeypatch.setattr(_queue_module, "report_exception", lambda *_args, **_kwargs: None)
+    queue = DurableWriteQueue(tmp_path / "one-memory.sqlite3")
+    queue.submit(_request(key="gated", source="cursor"))
+    asked = {"count": 0}
+
+    def gate(_source_key: str) -> bool:
+        asked["count"] += 1
+        if asked["count"] == 1:
+            raise KeyError("gate bug")
+        return True
+
+    async def execute(job_id: str) -> None:
+        queue.settle(job_id, state=COMPLETED)
+        drain.stop()
+
+    drain = DurableWriteDrain(queue, execute=execute, source_claim_enabled=gate)
+
+    asyncio.run(asyncio.wait_for(drain.run_supervised(idle_pause=0.005, restart_backoff=0.01), 2))
+
+    assert queue.get("gated").state == COMPLETED
+    assert drain.last_error_code == "key_error"
+
+
+def test_stop_ends_a_restart_backoff_at_once(tmp_path, monkeypatch) -> None:
+    from one_memory.memory_server import durable_queue as _queue_module
+
+    monkeypatch.setattr(_queue_module, "report_exception", lambda *_args, **_kwargs: None)
+    queue = DurableWriteQueue(tmp_path / "one-memory.sqlite3")
+    drain = DurableWriteDrain(queue, execute=_never_execute)
+
+    def broken(**_kwargs):
+        raise sqlite3.DatabaseError("database disk image is malformed")
+
+    monkeypatch.setattr(drain, "claim", broken)
+
+    async def scenario() -> None:
+        task = asyncio.create_task(drain.run_supervised(restart_backoff=30))
+        for _ in range(200):
+            if drain.liveness == "restarting":
+                break
+            await asyncio.sleep(0.005)
+        assert drain.liveness == "restarting"
+        drain.stop()
+        await asyncio.wait_for(task, 1)
+
+    asyncio.run(scenario())
+    assert drain.liveness == "stopped"
+    assert drain.last_error_code == "database_error"
+
+
+def test_a_cancelled_supervised_drain_stays_cancelled(tmp_path) -> None:
+    queue = DurableWriteQueue(tmp_path / "one-memory.sqlite3")
+    drain = DurableWriteDrain(queue, execute=_never_execute)
+
+    async def scenario() -> None:
+        task = asyncio.create_task(drain.run_supervised(idle_pause=0.005))
+        await asyncio.sleep(0.05)
+        task.cancel()
+        with pytest.raises(asyncio.CancelledError):
+            await task
+
+    asyncio.run(scenario())
+    assert drain.liveness == "stopped"
+    assert drain.restarts == 0
+
+
+def test_a_contained_job_task_failure_is_reported_with_its_stack(tmp_path, monkeypatch) -> None:
+    from one_memory.memory_server import durable_queue as _queue_module
+
+    reported: list[tuple[str, BaseException]] = []
+    monkeypatch.setattr(
+        _queue_module,
+        "report_exception",
+        lambda component, event, error, **_kwargs: reported.append((event, error)),
+    )
+    queue = DurableWriteQueue(tmp_path / "one-memory.sqlite3")
+    first = queue.submit(_request(key="first", source="cursor"))
+    queue.submit(_request(key="second", source="codex"))
+
+    async def run_job(job_id: str) -> None:
+        if job_id == first.job_id:
+            raise RuntimeError("systematic job task bug")
+        drain.stop()
+
+    drain = DurableWriteDrain(queue, execute=_never_execute, max_concurrent_sources=1)
+    monkeypatch.setattr(drain, "_run_claimed_job", run_job)
+
+    asyncio.run(asyncio.wait_for(drain.run_forever(idle_pause=0.005), 1))
+
+    assert [event for event, _error in reported] == ["memory.write_queue.job_task_failed"]
+    assert reported[0][1].__traceback__ is not None
+
+
+def test_a_lease_is_renewed_while_every_bulk_thread_is_blocked(tmp_path) -> None:
+    """The incident: bulk threads stuck in job listings starved lease renewal."""
+    from one_memory.background_work import BULK_WORKERS, bulk_pool, shutdown_bulk_pool
+
+    queue = DurableWriteQueue(tmp_path / "one-memory.sqlite3")
+    queue.submit(_request(key="slow", source="cursor"))
+    release = threading.Event()
+    blocked = [bulk_pool().submit(release.wait, 10) for _ in range(BULK_WORKERS * 2)]
+    renewed: list[bool] = []
+
+    async def execute(job_id: str) -> None:
+        # Longer than the lease: only renewals keep it.
+        await asyncio.sleep(0.8)
+        queue.settle(job_id, state=COMPLETED, owner=drain.owner)
+
+    drain = DurableWriteDrain(
+        queue,
+        execute=execute,
+        lease=timedelta(milliseconds=400),
+        renew_every=timedelta(milliseconds=50),
+    )
+    real_renew = drain.renew
+
+    def counted(job_id: str, **kwargs) -> bool:
+        result = real_renew(job_id, **kwargs)
+        renewed.append(result)
+        return result
+
+    drain.renew = counted  # type: ignore[method-assign]
+    try:
+        assert asyncio.run(asyncio.wait_for(drain.run_one(), 3)) == 1
+    finally:
+        release.set()
+        for future in blocked:
+            future.result(timeout=5)
+        shutdown_bulk_pool()
+
+    assert renewed and all(renewed)
+    assert queue.get("slow").state == COMPLETED

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_probe_operations.py

@@ -91,6 +91,51 @@ def test_reserved_before_transport_and_atomic_result_reopens_without_resending(e
     asyncio.run(scenario())
 
 
+def test_pre_dispatch_failure_marks_operation_failed_and_unfences(env, monkeypatch):
+    store, secrets, profile, ops, calls, respond = env
+    operation = str(uuid4())
+
+    def fail_require(*args, **kwargs):
+        raise RuntimeError("profile load failed")
+
+    prober = ModelProber(store=store, secrets=secrets, transport=httpx.MockTransport(respond))
+    with monkeypatch.context() as patch:
+        patch.setattr(store, "require", fail_require)
+        receipt = asyncio.run(
+            prober.probe(
+                profile.profile_id,
+                operation_id=operation,
+                expected_profile_revision=profile.revision,
+            )
+        )
+
+    assert receipt.state == "failed"
+    assert receipt.code == "model_probe_execution_failed"
+    assert receipt.result is None
+    assert calls == []
+    assert ops.lookup(operation) == receipt
+    assert (
+        asyncio.run(
+            prober.probe(
+                profile.profile_id,
+                operation_id=operation,
+                expected_profile_revision=profile.revision,
+            )
+        )
+        == receipt
+    )
+
+    completed = asyncio.run(
+        prober.probe(
+            profile.profile_id,
+            operation_id=str(uuid4()),
+            expected_profile_revision=profile.revision,
+        )
+    )
+    assert completed.state == "completed"
+    assert len(calls) == 3
+
+
 def test_same_id_and_same_profile_concurrency_refused_before_second_call(env):
     store, secrets, profile, ops, calls, respond = env
 

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 +123,204 @@ 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()
+
+            ultra = await client.put(
+                "/api/v1/onboarding/progress",
+                json={"mode_intent": "ultra", "setup_step": "model"},
+            )
+            assert ultra.status_code == 200
+            assert ultra.json()["mode_intent"] == "ultra"
+
+    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": "future"},
+            )
+
+            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_pinned_sdk_raw_search.py

@@ -0,0 +1,237 @@
+"""MemHub's raw search against the hy-memory wheel it pins, not the repo source.
+
+The suite's pythonpath puts the repository root first, so `import hy_memory`
+in a test reads the repo's `hy_memory/`, which can be ahead of the pinned
+release. Search kwargs the release does not accept then pass every test and
+fail every raw search in a packaged build (a `statuses` argument did exactly
+that against 2.0.13). These tests run in a child interpreter started with
+`-I`, so `hy_memory` resolves to the wheel installed in the Core venv, and
+drive the real routes over a real lite SDK client with a deterministic local
+embedder (no model, no network, no ONNX assets).
+"""
+
+from __future__ import annotations
+
+import json
+import os
+import subprocess
+import sys
+import textwrap
+
+import pytest
+
+from tests.test_sdk_api_surface import SDK_SEARCH_PARAMETERS
+
+pytestmark = pytest.mark.integration
+
+_CHILD = textwrap.dedent(
+    r'''
+    import asyncio
+    import hashlib
+    import inspect
+    import json
+    import math
+    import re
+    import sys
+    from importlib.metadata import version
+    from pathlib import Path
+
+    import hy_memory
+    from hy_memory import HyMemoryClient
+
+    from one_memory.hy_runtime_config import HY_MEMORY_VERSION
+
+    home = Path(sys.argv[1])
+    wheel = Path(hy_memory.__file__).resolve()
+    assert "site-packages" in wheel.parts, f"not the installed wheel: {wheel}"
+    assert version("hy-memory") == HY_MEMORY_VERSION, version("hy-memory")
+    parameters = sorted(
+        name
+        for name, parameter in inspect.signature(HyMemoryClient.search).parameters.items()
+        if name not in {"self", "query"} and parameter.kind is not inspect.Parameter.VAR_KEYWORD
+    )
+    var_keyword = any(
+        parameter.kind is inspect.Parameter.VAR_KEYWORD
+        for parameter in inspect.signature(HyMemoryClient.search).parameters.values()
+    )
+
+    from httpx import ASGITransport, AsyncClient
+    from pydantic import SecretStr
+
+    import one_memory.api as api
+    from one_memory.api import create_app
+    from one_memory.config import Settings
+    from one_memory.embedding_assets import BUILTIN_EMBEDDING_DIMENSIONS
+    from one_memory.hy_sdk_runtime import (
+        LocalOnnxEmbeddingService,
+        SdkClientHandle,
+        builtin_retrieval_snapshot,
+    )
+    from one_memory.secrets import InMemorySecretStore
+
+    WORD = re.compile(r"\w+")
+
+    class HashedEmbedder:
+        """Bag of words and CJK bigrams, hashed: texts sharing words are near."""
+
+        dimensions = BUILTIN_EMBEDDING_DIMENSIONS
+
+        def encode(self, texts):
+            vectors = []
+            for text in texts:
+                vector = [0.0] * self.dimensions
+                for word in WORD.findall(text.casefold()):
+                    grams = [word]
+                    if not word.isascii():
+                        grams += [word[i : i + 2] for i in range(len(word) - 1)]
+                    for gram in grams:
+                        digest = hashlib.sha256(gram.encode()).digest()
+                        vector[int.from_bytes(digest[:4], "big") % self.dimensions] += 1.0
+                norm = math.sqrt(sum(value * value for value in vector)) or 1.0
+                vectors.append([value / norm for value in vector])
+            return vectors
+
+    LocalOnnxEmbeddingService._embedder = HashedEmbedder()
+
+    async def lite_has_no_model(_app):
+        return False
+
+    api._recall_model_ready = lite_has_no_model
+
+    async def main():
+        settings = Settings(
+            data_dir=home / "data",
+            source_home=home,
+            api_token=SecretStr("pinned-sdk"),
+            imports_enabled=False,
+            automatic_memory_processing=False,
+            live_sync_enabled=False,
+        )
+        app = create_app(settings, secret_store=InMemorySecretStore())
+        app.state.memory_mode = lambda: "lite"
+        handle = SdkClientHandle(
+            builtin_retrieval_snapshot(),
+            api_key=None,
+            data_dir=home / "data",
+            mode="lite",
+        )
+        result = {"parameters": parameters, "var_keyword": var_keyword}
+        async with app.router.lifespan_context(app):
+            app.state.sdk_client_handle = handle
+            client = await handle.client()
+            for session, messages in (
+                (
+                    "s-hike",
+                    [
+                        ("user", "我叫小林"),
+                        ("assistant", "你好小林"),
+                        ("user", "I love hiking mountain trails at dawn"),
+                        ("assistant", "Noted, early hikes."),
+                    ],
+                ),
+                (
+                    "s-tea",
+                    [
+                        ("user", "my favourite drink is green tea"),
+                        ("assistant", "Green tea, noted."),
+                    ],
+                ),
+            ):
+                written = client.add(
+                    [{"role": role, "content": content} for role, content in messages],
+                    user_id="local",
+                    source="hermes",
+                    session_id=session,
+                )
+                assert written.get("success", True), written
+            listed = client.list_memories(user_id="local", layers=["l1_raw"], limit=10)
+            rows = listed.get("vdb", listed)["memories"]
+            tea = next(row for row in rows if "green tea" in row["content"])
+            # What pro leaves behind: the raw it already processed is shadow.
+            client._loop_thread.run(
+                client._vector_store.update_payload(tea["memory_id"], {"status": "shadow"})
+            )
+            async with AsyncClient(
+                transport=ASGITransport(app=app),
+                base_url="http://test",
+                headers={"Authorization": "Bearer pinned-sdk"},
+            ) as http:
+                for name, body in (
+                    ("hike_turn", {"query": "hiking trails mountain", "raw_unit": "turn"}),
+                    ("tea_turn", {"query": "favourite green tea drink", "raw_unit": "turn"}),
+                    ("tea_raw", {"query": "favourite green tea drink"}),
+                ):
+                    response = await http.post(
+                        "/api/v2/context/search", json={"kinds": ["raw"], "limit": 5, **body}
+                    )
+                    result[name] = {"status": response.status_code, "body": response.json()}
+                response = await http.post(
+                    "/api/v1/recall", json={"query": "favourite green tea drink"}
+                )
+                result["recall"] = {"status": response.status_code, "body": response.json()}
+        await handle.close()
+        print("RESULT " + json.dumps(result, ensure_ascii=False))
+
+    asyncio.run(main())
+    '''
+)
+
+
+@pytest.fixture(scope="module")
+def pinned(tmp_path_factory) -> dict:
+    root = tmp_path_factory.mktemp("pinned-sdk")
+    script = root / "scripts" / "child.py"
+    script.parent.mkdir()
+    script.write_text(_CHILD, encoding="utf-8")
+    home = root / "home"
+    home.mkdir()
+    environment = {
+        **os.environ,
+        "ANONYMIZED_TELEMETRY": "False",
+        "ONE_MEMORY_DATA_DIR": str(home / "data"),
+    }
+    completed = subprocess.run(
+        [sys.executable, "-I", str(script), str(home)],
+        cwd=home,
+        env=environment,
+        capture_output=True,
+        text=True,
+        timeout=240,
+        check=False,
+    )
+    assert completed.returncode == 0, completed.stderr[-4000:]
+    [line] = [line for line in completed.stdout.splitlines() if line.startswith("RESULT ")]
+    return json.loads(line.removeprefix("RESULT "))
+
+
+def test_the_fake_sdk_accepts_exactly_the_pinned_search_parameters(pinned) -> None:
+    # The route tests' stand-in rejects what the pinned SDK rejects.
+    assert pinned["var_keyword"] is False
+    assert sorted(SDK_SEARCH_PARAMETERS) == pinned["parameters"]
+
+
+def test_lite_turn_search_returns_semantic_hits_without_the_literal_query(pinned) -> None:
+    hike = pinned["hike_turn"]
+    assert hike["status"] == 200, hike
+    items = hike["body"]["items"]
+    assert items, hike["body"]
+    top = items[0]
+    # No turn contains "hiking trails mountain"; the hit still comes back,
+    # shown by its closest turn and carrying the hit's score.
+    assert "hiking mountain trails" in top["content"]
+    assert "小林" not in top["content"]
+    assert top["turn_index"] == 1 and top["turn_count"] == 2
+    assert [item["score"] for item in items] == sorted(
+        (item["score"] for item in items), reverse=True
+    )
+
+
+def test_lite_search_and_recall_include_shadow_raws(pinned) -> None:
+    for name in ("tea_turn", "tea_raw"):
+        result = pinned[name]
+        assert result["status"] == 200, result
+        assert any("green tea" in item["content"] for item in result["body"]["items"]), result
+    recall = pinned["recall"]
+    assert recall["status"] == 200, recall
+    assert recall["body"]["mode"] == "raw"
+    assert any("green tea" in hit["content"] for hit in recall["body"]["hits"]), recall

memhub/apps/core/tests/test_policy_api_wiring.py

@@ -189,7 +189,11 @@ def test_first_import_gate_waits_for_every_selected_history_job() -> None:
     app = SimpleNamespace(
         state=SimpleNamespace(
             onboarding_store=SimpleNamespace(get=lambda: state),
-            import_job_store=SimpleNamespace(list_jobs=lambda: jobs),
+            import_job_store=SimpleNamespace(
+                find_jobs=lambda *, user_id, operation: [
+                    job for job in jobs if job.user_id == user_id and job.operation == operation
+                ]
+            ),
         )
     )
 

memhub/apps/core/tests/test_primary_source_adapters.py

@@ -77,6 +77,36 @@ def test_workbuddy_record_parsing_never_blocks_the_event_loop(tmp_path) -> None:
     asyncio.run(scenario())
 
 
+def test_jsonl_live_probe_listing_is_reused_by_the_import(tmp_path, monkeypatch) -> None:
+    root = tmp_path / ".workbuddy" / "projects"
+    write_jsonl(
+        root / "project" / "session.jsonl",
+        [{"role": "user", "sessionId": "session", "content": "new conversation"}],
+    )
+    adapter = create_workbuddy_adapter(grant("workbuddy", root))
+    from one_memory.imports.sources import common
+
+    calls = 0
+    original = common.list_changed_files
+
+    def counted(*args, **kwargs):
+        nonlocal calls
+        calls += 1
+        return original(*args, **kwargs)
+
+    monkeypatch.setattr(common, "list_changed_files", counted)
+
+    async def probe_then_scan():
+        options = ScanOptions()
+        assert await adapter.has_changes(options)
+        return [event async for event in adapter.scan(options)]
+
+    records = evidence(asyncio.run(probe_then_scan()))
+
+    assert [item.evidence.verbatim for item in records] == ["new conversation"]
+    assert calls == 1
+
+
 def test_cursor_store_user_info_envelope_is_not_attributed_to_the_person(tmp_path) -> None:
     """A Cursor store blob can be the host's session context, not the user's words.
 
@@ -1352,6 +1382,68 @@ def test_cursor_transcripts_with_the_same_name_in_two_projects_are_both_kept(
     assert len({item.evidence.source_ordinal for item in records}) == 2
 
 
+def test_cursor_discovery_does_not_enter_non_conversation_trees(tmp_path) -> None:
+    root = tmp_path / ".cursor"
+    write_jsonl(
+        root / "projects" / "project" / "agent-transcripts" / "kept" / "kept.jsonl",
+        [
+            {
+                "role": "user",
+                "message": {"content": [{"type": "text", "text": "kept conversation"}]},
+            }
+        ],
+    )
+    write_jsonl(
+        root / "extensions" / "large-cache" / "agent-transcripts" / "ignored" / "ignored.jsonl",
+        [
+            {
+                "role": "user",
+                "message": {"content": [{"type": "text", "text": "must not be scanned"}]},
+            }
+        ],
+    )
+
+    records = evidence(asyncio.run(scan(CursorUnifiedSourceAdapter(grant=grant("cursor", root)))))
+
+    assert [item.evidence.verbatim for item in records] == ["kept conversation"]
+
+
+def test_cursor_live_probe_listing_is_reused_by_the_import(tmp_path, monkeypatch) -> None:
+    root = tmp_path / ".cursor"
+    write_jsonl(
+        root / "projects" / "project" / "agent-transcripts" / "new" / "new.jsonl",
+        [
+            {
+                "role": "user",
+                "message": {"content": [{"type": "text", "text": "new conversation"}]},
+            }
+        ],
+    )
+    adapter = CursorUnifiedSourceAdapter(grant=grant("cursor", root))
+    from one_memory.imports.adapters import ScanOptions
+    from one_memory.imports.sources import cursor_unified
+
+    calls = 0
+    original = cursor_unified._list_cursor_files
+
+    def counted(*args, **kwargs):
+        nonlocal calls
+        calls += 1
+        return original(*args, **kwargs)
+
+    monkeypatch.setattr(cursor_unified, "_list_cursor_files", counted)
+
+    async def probe_then_scan():
+        options = ScanOptions()
+        assert await adapter.has_changes(options)
+        return [event async for event in adapter.scan(options)]
+
+    records = evidence(asyncio.run(probe_then_scan()))
+
+    assert [item.evidence.verbatim for item in records] == ["new conversation"]
+    assert calls == 1
+
+
 def test_cursor_bounded_scans_reuse_the_authorized_file_listing(tmp_path, monkeypatch) -> None:
     root = tmp_path / ".cursor"
     transcript = root / "projects" / "project" / "agent-transcripts" / "session" / "session.jsonl"

memhub/apps/core/tests/test_recall_raw_fallback.py

@@ -2,8 +2,9 @@
 
 Without a usable generation model no memory can be distilled, and with no
 memory in the library a memory search can only come back empty. In both cases
-recall searches the SDK raw layer and says so with `mode: "raw"`. Original
-conversations stay under their own grant: recall's grant does not widen it.
+recall searches the SDK raw layer and says so with `mode: "raw"`. External
+callers need the conversations tool and all-apps scope; Core resolves that to
+every connected, unrevoked source.
 """
 
 import asyncio
@@ -18,6 +19,7 @@ from one_memory import api
 from one_memory.api import create_app
 from one_memory.config import Settings
 from one_memory.hy_sdk_types import HySdkRawHit
+from one_memory.imports.sources.registry import RootCandidateKind
 from one_memory.recall import RecallHit, RecallReceipt, RecallRequest, RecallState
 from one_memory.recall_fallback import recall_with_fallback
 from one_memory.secrets import InMemorySecretStore
@@ -156,6 +158,26 @@ def test_raw_fallback_respects_the_callers_raw_sources():
     assert [hit.memory_id for hit in receipt.hits] == ["r1"]
 
 
+def test_raw_fallback_rechecks_sources_after_search_before_releasing_content():
+    _, fakes = _fakes(
+        ready=False,
+        memories=[],
+        has_memories=False,
+        raw=[_raw("r1", "private", source="cursor")],
+        sources=frozenset({"cursor"}),
+    )
+    checks = iter((frozenset({"cursor"}), frozenset()))
+
+    async def sources():
+        return next(checks)
+
+    fakes["raw_sources"] = sources
+    receipt = run(RecallRequest(query="private"), fakes)
+
+    assert receipt.state == RecallState.EMPTY
+    assert receipt.hits == ()
+
+
 def test_a_caller_with_no_raw_grant_gets_nothing_rather_than_a_wider_read():
     calls, fakes = _fakes(
         ready=False,
@@ -187,6 +209,43 @@ def test_raw_fallback_keeps_the_count_and_character_budgets():
     assert by_chars.used_characters == 300
 
 
+def test_oversized_raw_hit_returns_a_query_anchored_excerpt_instead_of_empty():
+    _, fakes = _fakes(
+        ready=False,
+        memories=[],
+        has_memories=False,
+        raw=[_raw("large", ("x" * 5_000) + "WebGL 黄色节点" + ("y" * 5_000))],
+    )
+
+    receipt = run(
+        RecallRequest(query="WebGL 黄色节点", limit=3, character_budget=300),
+        fakes,
+    )
+
+    assert receipt.state == RecallState.GROUNDED
+    assert len(receipt.hits) == 1
+    assert len(receipt.hits[0].content) == receipt.used_characters == 300
+    assert "WebGL 黄色节点" in receipt.hits[0].content
+    assert receipt.truncated_by.value == "character_budget"
+
+
+@pytest.mark.parametrize("prefix_length", [0, 100, 5_000, 9_980])
+def test_raw_excerpt_never_exceeds_its_character_budget(prefix_length):
+    needle = "WebGL"
+    content = ("x" * prefix_length) + needle + ("y" * (10_000 - prefix_length))
+    _, fakes = _fakes(
+        ready=False,
+        memories=[],
+        has_memories=False,
+        raw=[_raw("large", content)],
+    )
+
+    receipt = run(RecallRequest(query=needle, character_budget=300), fakes)
+
+    assert len(receipt.hits[0].content) == receipt.used_characters == 300
+    assert needle in receipt.hits[0].content
+
+
 def test_the_probe_never_falls_back():
     calls, fakes = _fakes(ready=False, memories=[], has_memories=False, raw=[_raw("r1", "x")])
 
@@ -237,6 +296,14 @@ def test_recall_route_falls_back_and_keeps_the_raw_grant(tmp_path, monkeypatch):
                 headers={"Authorization": "Bearer recall-test"},
             ) as client,
         ):
+            cursor_root = tmp_path / "cursor"
+            cursor_root.mkdir()
+            app.state.source_grant_store.grant(
+                user_id="local",
+                source_id="cursor",
+                root=cursor_root,
+                candidate_kind=RootCandidateKind.DEFAULT,
+            )
             local = await client.post("/api/v1/recall", json={"query": "数据库"})
             recall_only = await client.post(
                 "/api/v1/recall",
@@ -247,9 +314,18 @@ def test_recall_route_falls_back_and_keeps_the_raw_grant(tmp_path, monkeypatch):
                     "X-One-Memory-Allowed-Scopes": json.dumps(["all-apps"]),
                 },
             )
-            return local.json(), recall_only.json()
+            cross_app = await client.post(
+                "/api/v1/recall",
+                json={"query": "数据库"},
+                headers={
+                    **EXTERNAL,
+                    "X-One-Memory-Allowed-Tools": json.dumps(["om_recall", "om_conversations"]),
+                    "X-One-Memory-Allowed-Scopes": json.dumps(["all-apps", "source:workbuddy"]),
+                },
+            )
+            return local.json(), recall_only.json(), cross_app.json()
 
-    local, recall_only = asyncio.run(scenario())
+    local, recall_only, cross_app = asyncio.run(scenario())
 
     assert local["mode"] == "raw" and local["fallback_reason"] == "model_unavailable"
     assert local["hits"][0]["content_format"] == "raw"
@@ -258,7 +334,9 @@ def test_recall_route_falls_back_and_keeps_the_raw_grant(tmp_path, monkeypatch):
     assert searched[0] is None
     # A host granted recall alone may not read original conversations.
     assert recall_only["mode"] == "raw" and recall_only["hits"] == []
-    assert len(searched) == 1
+    # all-apps covers every connected source, not only the host's source scope.
+    assert cross_app["hits"][0]["source"] == "cursor"
+    assert searched == [None, frozenset({"cursor"})]
 
 
 def test_the_total_recall_budget_stays_under_the_brokers_wait():

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",
@@ -88,6 +91,40 @@ def _chat(user_id: str, memory_id: str, content: str, layer: str, source: str) -
     }
 
 
+#: The keyword parameters of the pinned `HyMemoryClient.search`, which takes
+#: no **kwargs. `test_pinned_sdk_raw_search` checks this set against the
+#: installed wheel, so the stand-in below rejects what the release rejects.
+SDK_SEARCH_PARAMETERS = frozenset(
+    {
+        "queries",
+        "scene",
+        "search_mode",
+        "user_ids",
+        "agent_ids",
+        "session_ids",
+        "include_sources",
+        "exclude_sources",
+        "limit",
+        "min_score",
+        "working_fact_min_score",
+        "working_experience_min_score",
+        "schema_min_score",
+        "schema_limit",
+        "intention_limit",
+        "created_after",
+        "reader",
+        "workspace_id",
+        "branch",
+        "request_id",
+        "layers",
+        "statuses",
+        "embed_override",
+        "query_embedding",
+        "rerank",
+    }
+)
+
+
 class RecordingSdk:
     """The public client surface, recording every call's keyword arguments."""
 
@@ -106,6 +143,10 @@ class RecordingSdk:
     # The SDK answers rows below a caller's floor in some lanes (a schema
     # floor, a fused rank score), so Core must filter what it returns.
     def search(self, query, **kwargs):
+        unknown = set(kwargs) - SDK_SEARCH_PARAMETERS
+        if unknown:
+            # The pinned `HyMemoryClient.search` takes no **kwargs.
+            raise TypeError(f"search() got unexpected keyword arguments {sorted(unknown)}")
         self._record("search", {"query": query, **kwargs})
         [user_id] = kwargs["user_ids"]
         if kwargs.get("layers") == ["l1_raw"]:
@@ -173,7 +214,15 @@ class RecordingSdk:
                 )
                 and (not kwargs.get("session_ids") or row["session_id"] in kwargs["session_ids"])
             ]
-            return {"vdb": {"memories": rows, "total": len(rows)}}
+            total = len(rows)
+            offset = kwargs.get("offset", 0)
+            limit = kwargs.get("limit", 100)
+            return {
+                "vdb": {
+                    "memories": rows[offset : offset + limit],
+                    "total": total,
+                }
+            }
         rows = [_chat(user_id, *row[:2], *row[3:]) for row in CHAT_ROWS.get(user_id, [])]
         if layers:
             rows = [row for row in rows if row["layer"] in layers]
@@ -271,6 +320,10 @@ async def _model_ready(_app) -> bool:
     return True
 
 
+async def _model_not_ready(_app) -> bool:
+    return False
+
+
 def run_with_sdk(tmp_path, monkeypatch, scenario) -> None:
     async def main() -> None:
         app = application(tmp_path)
@@ -347,6 +400,170 @@ 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"]
+        # pro/ultra: a shadow raw is already in its extracted memories.
+        assert "statuses" not in sdk.last("search")
+
+    run_with_sdk(tmp_path, monkeypatch, scenario)
+
+
+@pytest.mark.fresh_sdk
+def test_lite_raw_search_is_plain_rag_over_active_and_shadow_raws(tmp_path, monkeypatch) -> None:
+    async def scenario(app, sdk, client):
+        app.state.memory_mode = lambda: "lite"
+        response = await client.post(
+            "/api/v2/context/search",
+            json={"query": "喜欢喝绿茶的人", "kinds": ["raw"], "raw_unit": "turn", "limit": 5},
+        )
+        assert response.status_code == 200, response.text
+        sent = sdk.last("search")
+        assert sent["statuses"] == ["active", "shadow"] and sent["limit"] == 5
+        items = response.json()["items"]
+        # No turn contains the query, yet every vector hit is returned, in
+        # score order: raw-1 by its closest turn, raw-2 by its only one.
+        assert [(item["raw_id"], item["turn_index"]) for item in items] == [
+            ("raw-1", 1),
+            ("raw-2", 0),
+        ]
+        assert [item["score"] for item in items] == [0.97, 0.3]
+        assert "我喜欢绿茶" in items[0]["content"]
+
+        floored = await client.post(
+            "/api/v2/context/search",
+            json={
+                "query": "喜欢喝绿茶的人",
+                "kinds": ["raw"],
+                "raw_unit": "turn",
+                "min_score": 0.5,
+            },
+        )
+        assert [item["raw_id"] for item in floored.json()["items"]] == ["raw-1"]
+
+        # Lite has no model, so recall answers from the raw layer.
+        monkeypatch.setattr("one_memory.api._recall_model_ready", _model_not_ready)
+        recall = await client.post("/api/v1/recall", json={"query": "喜欢喝绿茶的人"})
+        assert recall.status_code == 200, recall.text
+        assert recall.json()["mode"] == "raw"
+        assert sdk.last("search")["statuses"] == ["active", "shadow"]
+        assert [hit["memory_id"] for hit in recall.json()["hits"]][:1] == ["raw-1"]
+
+    run_with_sdk(tmp_path, monkeypatch, scenario)
+
+
+@pytest.mark.fresh_sdk
+def test_long_semantic_raw_hit_cannot_erase_an_earlier_match(tmp_path, monkeypatch) -> None:
+    async def scenario(app, sdk, client):
+        app.state.memory_mode = lambda: "lite"
+
+        def search(query, **kwargs):
+            sdk._record("search", {"query": query, **kwargs})
+            memories = [
+                {
+                    "memory_id": "raw-target",
+                    "content": "[user]: lite 模式的 3d 图需要调整",
+                    "layer": "l1_raw",
+                    "status": "active",
+                    "user_id": "local",
+                    "agent_id": "all-apps",
+                    "session_id": "target-session",
+                    "source": "cursor",
+                    "memory_at": 1_790_100_000,
+                    "score": 0.97,
+                },
+                {
+                    "memory_id": "raw-long",
+                    "content": f"[user]: {'x' * 20_001}",
+                    "layer": "l1_raw",
+                    "status": "active",
+                    "user_id": "local",
+                    "agent_id": "all-apps",
+                    "session_id": "long-session",
+                    "source": "cursor",
+                    "memory_at": 1_790_000_000,
+                    "score": 0.9,
+                },
+            ]
+            return {
+                "request_id": "long-raw",
+                "memories": memories[1:] if query == "oversized" else memories,
+            }
+
+        sdk.search = search
+        response = await client.post(
+            "/api/v2/context/search",
+            json={
+                "query": "3d",
+                "kinds": ["raw"],
+                "raw_unit": "turn",
+                "limit": 20,
+                "character_budget": 20_000,
+            },
+        )
+
+        assert response.status_code == 200, response.text
+        body = response.json()
+        assert body["state"] == "grounded"
+        assert body["items"][0]["raw_id"] == "raw-target"
+        assert "3d" in body["items"][0]["content"]
+        assert body["items"][1]["raw_id"] == "raw-long"
+        assert body["items"][1]["truncated"] is True
+        assert body["truncated"] is True
+
+        single = await client.post(
+            "/api/v2/context/search",
+            json={
+                "query": "oversized",
+                "kinds": ["raw"],
+                "raw_unit": "turn",
+                "character_budget": 20_000,
+            },
+        )
+        assert single.json()["items"][0]["truncated"] is True
+        assert single.json()["truncated"] is True
+
+    run_with_sdk(tmp_path, monkeypatch, scenario)
+
+
+@pytest.mark.fresh_sdk
+def test_raw_only_lane_failure_is_unavailable_not_an_empty_partial(tmp_path, monkeypatch) -> None:
+    async def scenario(app, sdk, client):
+        app.state.memory_mode = lambda: "lite"
+
+        def search(_query, **_kwargs):
+            raise ValueError("private conversation text must not reach logs")
+
+        sdk.search = search
+        response = await client.post(
+            "/api/v2/context/search",
+            json={"query": "3d", "kinds": ["raw"], "raw_unit": "turn"},
+        )
+
+        assert response.status_code == 200, response.text
+        assert response.json()["state"] == "unavailable"
+        assert response.json()["items"] == []
+
+    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 +791,12 @@ 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 +806,144 @@ 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。"],
+        ]
+        cursor = None
+        first_cursor = None
+        cursor_turns = []
+        cursor_calls = len(sdk.all("list_memories"))
+        while True:
+            params = {"unit": "turn", "paging": "cursor", "limit": 1}
+            if cursor is not None:
+                params["cursor"] = cursor
+            response = await client.get("/api/v2/raw", params=params)
+            assert response.status_code == 200, response.text
+            cursor_page = response.json()
+            assert cursor_page["total_exact"] is False
+            assert len(cursor_page["items"]) == 1
+            cursor_turns.append(cursor_page["items"][0]["messages"][0]["content"])
+            cursor = cursor_page["next_cursor"]
+            if first_cursor is None:
+                first_cursor = cursor
+            if cursor is None:
+                assert cursor_page["has_more"] is False
+                break
+            assert cursor_page["has_more"] is True
+        assert cursor_turns == ["我喜欢绿茶", "我叫费天翔", "你好"]
+        assert len(sdk.all("list_memories")) == cursor_calls + 3
+        graph_calls = len(sdk.all("list_memories"))
+        graph = await client.get("/api/v2/raw/graph", params={"limit": 2})
+        assert graph.status_code == 200, graph.text
+        assert len(sdk.all("list_memories")) == graph_calls + 1
+        graph_body = graph.json()
+        assert graph_body["total"] == 3
+        assert graph_body["has_more"] is True
+        assert [item["label"] for item in graph_body["items"]] == [
+            "[user]: 我喜欢绿茶 [assistant]: 也记住了。",
+            "[user]: 我叫费天翔 [assistant]: 好的，记住了。",
+        ]
+        assert (await client.get("/api/v2/raw/graph", params={"limit": 301})).status_code == 422
+        assert (
+            await client.get(
+                "/api/v2/raw/graph",
+                params={"limit": 2, "offset": 2},
+            )
+        ).status_code == 422
+        inserted = {
+            "memory_id": "raw-new",
+            "content": "[user]: 新消息",
+            "status": "active",
+            "session_id": "s-new",
+            "source": "cursor",
+            "memory_at": 1_790_200_000,
+            "gmt_created": 1_790_200_100,
+        }
+        RAW_ROWS["local"].insert(0, inserted)
+        try:
+            updated_graph = (await client.get("/api/v2/raw/graph")).json()
+            assert updated_graph["total"] == 4
+            assert updated_graph["items"][0]["label"] == "[user]: 新消息"
+            continued = await client.get(
+                "/api/v2/raw",
+                params={
+                    "unit": "turn",
+                    "paging": "cursor",
+                    "limit": 1,
+                    "cursor": first_cursor,
+                },
+            )
+            assert continued.status_code == 200, continued.text
+            assert continued.json()["items"][0]["messages"][0]["content"] == "我叫费天翔"
+        finally:
+            RAW_ROWS["local"].remove(inserted)
+        assert (
+            await client.get(
+                "/api/v2/raw",
+                params={
+                    "unit": "turn",
+                    "paging": "cursor",
+                    "cursor": first_cursor,
+                    "source": "hermes",
+                },
+            )
+        ).status_code == 422
+        assert (
+            await client.get(
+                "/api/v2/raw",
+                params={
+                    "unit": "turn",
+                    "paging": "cursor",
+                    "cursor": "turn:²:0:0:2::0000000000000000",
+                },
+            )
+        ).status_code == 422
+
+        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
+
+        # A live session puts a new raw on top: one listing call, not a rescan.
+        newest = {
+            **RAW_ROWS["local"][1],
+            "memory_id": "raw-new",
+            "content": "[user]: 刚刚说的",
+            "status": "active",
+        }
+        original = RAW_ROWS["local"]
+        monkeypatch.setitem(RAW_ROWS, "local", [newest, *original])
+        calls_before_append = len(sdk.all("list_memories"))
+        appended = (await client.get("/api/v2/raw", params={"unit": "turn"})).json()
+        assert len(sdk.all("list_memories")) == calls_before_append + 1
+        assert appended["total"] == 4
+        assert [item["raw_id"] for item in appended["items"]][:1] == ["raw-new"]
+        assert [item["turn_id"] for item in appended["items"][1:]] == [
+            item["turn_id"] for item in turns["items"]
+        ]
+        # Anything else (here a raw going away) lists the raw layer again.
+        monkeypatch.setitem(RAW_ROWS, "local", [newest, original[1]])
+        calls_before_delete = len(sdk.all("list_memories"))
+        shrunk = (await client.get("/api/v2/raw", params={"unit": "turn"})).json()
+        assert len(sdk.all("list_memories")) > calls_before_delete + 1
+        assert shrunk["total"] == 2
+        monkeypatch.setitem(RAW_ROWS, "local", original)
+        calls_before_restore = len(sdk.all("list_memories"))
+        restored = (await client.get("/api/v2/raw", params={"unit": "turn"})).json()
+        assert len(sdk.all("list_memories")) > calls_before_restore + 1
+        assert restored["total"] == 3
+
+        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"] == "2.0.14"
     paths = {item["path"]: item for item in manifest["files"]}
     assert {
         "management/one-memory.sqlite3",

memhub/apps/core/tests/test_sdk_migration_restore.py

@@ -293,6 +293,22 @@ def _retry_succeeds(home: Path, monkeypatch) -> None:
     assert len(list((home / "backups").glob("*-pre-cutover.sdk-bundle"))) == 1
 
 
+def test_evidence_an_older_capture_hook_recreated_is_dropped_on_the_next_start(home):
+    # Builds through 1.0.6 let the hook process open `EvidenceStore`, which
+    # rebuilt the retired tables on an SDK home. Nothing reads them there, and
+    # the next startup migration's leftovers cleanup removes them again.
+    assert _run(home).state == "cutover"
+    database = home / "one-memory.sqlite3"
+    EvidenceStore(database)
+    assert "evidence" in legacy_tables_present(database)
+
+    result = _run(home)
+
+    assert result.state == "complete"
+    assert {"evidence", "evidence_search"} <= set(result.dropped_tables)
+    assert legacy_tables_present(database) == ()
+
+
 def test_a_failure_after_the_cutover_commit_is_not_restored(home, monkeypatch):
     import one_memory.sdk_migration_runner as runner
 

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"