chore(release): bump MemHub build number to 34

Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>

CHANGELOG.md

@@ -4,6 +4,14 @@ Hy Memory and MemHub are versioned and released independently.
 
 ## Unreleased
 
+- MemHub shows when working and coding experiences were talked about. After
+  the SDK upgrade every one of them read "时间未知" (time unknown) because the
+  SDK never stored their conversation time; hy-memory 2.0.7 stores it and
+  Core now passes it through the memory list, detail, search and home
+  summary. An experience stored before 2.0.7 shows its write time, labelled
+  "写入于" / "写入时间", instead of "时间未知". Metadata repair also writes
+  the conversation time it recovers from the migration bundle into the SDK's
+  coding/working stores when they already have the column.
 - The SDK migration no longer fails its first run on a home with legacy
   vectors: reattaching them left a Chroma instance open with its own settings,
   and the readback that followed could not open the same store
@@ -68,6 +76,24 @@ Hy Memory and MemHub are versioned and released independently.
   `hy_node_permissions` proof table. Evidence, governed memories, model
   profiles, SDK stores, and source/host grants are preserved.
 
+## Hy Memory 2.0.7 — 2026-10-28
+
+- Published
+  [`hy-memory==2.0.7`](https://pypi.org/project/hy-memory/2.0.7/).
+- Coding and working experiences and facts now keep their conversation time.
+  `add(..., memory_at=...)` reached only the chat path before; the
+  productivity path dropped it, so every experience had only its write time
+  and MemHub showed them as "时间未知" (time unknown). `coding_memory_meta`
+  and `working_fact` gain a nullable `memory_at` column (epoch seconds) in
+  both the working and coding stores; existing databases get it on open, and
+  their old rows stay `None`. Without `memory_at` a write uses the time the
+  request arrived, as chat does. When an experience is updated by a later
+  conversation it keeps the later of the two times.
+- `list_memories` (`scene="coding"`, `"working"` and `"all"`), `get` and
+  `search` return `memory_at` for experiences and facts in the same field and
+  format as chat (epoch seconds, `None` when unknown). Experience search
+  results now also carry `created_at`.
+
 ## Hy Memory 2.0.6 — 2026-10-27
 
 - Published

hy_memory/client.py

@@ -1544,6 +1544,7 @@ class HyMemoryClient:
                 # LLM 写的"这个结论一路怎么改成现在这样"，直接进提示词；
                 # 没被覆盖过就是空串。不参与检索——召回认的是 statement 的当前值。
                 "fact_chain_summary": fact.fact_chain_summary,
+                "memory_at": _epoch_seconds(fact.memory_at),
                 "created_at": fact.created_at.isoformat() if fact.created_at else None,
                 "score": round(float(score), 4),
                 "source": fact.source,
@@ -1652,6 +1653,8 @@ class HyMemoryClient:
                 "score": (round(float(score_by_id[d.experience_id]), 4)
                           if d.experience_id in score_by_id else None),
                 "confidence": d.confidence,
+                "memory_at": _epoch_seconds(d.memory_at),
+                "created_at": d.created_at.isoformat() if d.created_at else None,
                 "updated_at": d.updated_at.isoformat() if d.updated_at else None,
                 "source": d.source,
                 "extraction_source": d.extraction_source,
@@ -1953,6 +1956,7 @@ class HyMemoryClient:
                   "content"    chat 正文；经验为 "task\nsolution"；事实为 statement
                   "score"      RRF 融合分；"lane_score" 为该路原始分；"lane_rank" 为该路名次
                   "source", "created_at", "updated_at"（秒级 epoch，取不到为 None）
+                  "memory_at"  对话时间（秒级 epoch），各路原有字段，三路同名同格式
                 chat 路内部名次：normal → schema → proactive 依次排；working/coding 路
                 内部名次：事实与经验各按原顺序交替（事实在前），两层谁也不压谁。
         """
@@ -2144,7 +2148,8 @@ class HyMemoryClient:
                           "limit", "offset", "request_id", "elapsed_ms"}
                 每条带 "scene"、"kind"（chat | experience）、"memory_id"、"content"
                 （经验为 "task\nsolution"）、"source"、"status"、"created_at"、
-                "updated_at"（秒级 epoch），以及该路原有字段。
+                "updated_at"（秒级 epoch），以及该路原有字段（含对话时间
+                "memory_at"，秒级 epoch，三路同名同格式）。
         """
         return self._loop_thread.run(
             self.async_list_memories(
@@ -2967,6 +2972,7 @@ class HyMemoryClient:
                     session_id=session_id,
                     request_id=request_id,
                     source=source,
+                    memory_at=memory_at,
                 )
                 # Public receipt always identifies the productivity namespace.
                 resp["variant"] = scene_variant
@@ -5920,6 +5926,7 @@ class HyMemoryClient:
                 "source_fact_ids": list(d.source_fact_ids),
                 "confidence": d.confidence,
                 "status": MemoryStatus.ACTIVE.value,
+                "memory_at": _epoch_seconds(d.memory_at),
                 "created_at": d.created_at.isoformat() if d.created_at else None,
                 "updated_at": d.updated_at.isoformat() if d.updated_at else None,
                 "source": d.source,

hy_memory/coding/fact_reconciler.py

@@ -454,9 +454,10 @@ class WorkingFactReconciler:
         workspace_id: Optional[str] = None,
         branch: Optional[str] = None,
         source: str = "default",
+        memory_at: Optional[datetime] = None,
     ) -> Tuple[List[WorkingFact], List[FactReconcileOp]]:
         """
-        执行 reconcile + 持久化。
+        执行 reconcile + 持久化。memory_at 是这段对话的时间，记到新事实上。
 
         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，
@@ -493,6 +494,7 @@ class WorkingFactReconciler:
             workspace_id=workspace_id,
             branch=branch,
             source=source,
+            memory_at=memory_at,
         )
         logger.info(
             f"[fact-reconcile] drafts={len(drafts)} inserted={len(facts)} "
@@ -781,6 +783,7 @@ class WorkingFactReconciler:
         workspace_id: Optional[str],
         branch: Optional[str] = None,
         source: str = "default",
+        memory_at: Optional[datetime] = None,
     ) -> Tuple[List[WorkingFact], List[FactReconcileOp]]:
         inserted: List[WorkingFact] = []
         ops: List[FactReconcileOp] = []
@@ -801,6 +804,7 @@ class WorkingFactReconciler:
                 subject=draft.subject,
                 details=draft.details,
                 status="active",
+                memory_at=memory_at,
             )
 
             allowed = {c.fact_id for c in (candidates[idx] if idx < len(candidates) else [])}

hy_memory/coding/reconciler.py

@@ -577,6 +577,7 @@ class CodingMemoryReconciler:
             confidence=d.confidence,
             source=d.source,
             extraction_source=d.extraction_source,
+            memory_at=d.memory_at,
         )
 
 

hy_memory/coding/store.py

@@ -86,6 +86,7 @@ CREATE TABLE IF NOT EXISTS coding_memory_meta (
     confidence       REAL NOT NULL DEFAULT 0.7,
     source           TEXT NOT NULL DEFAULT 'default',
     extraction_source TEXT NOT NULL DEFAULT 'auto_extract',
+    memory_at        INTEGER,
     created_at       TEXT NOT NULL,
     updated_at       TEXT NOT NULL
 );
@@ -109,6 +110,7 @@ CREATE TABLE IF NOT EXISTS working_fact (
     derived_experience_ids TEXT NOT NULL DEFAULT '[]',
     status                 TEXT NOT NULL DEFAULT 'active',
     fact_chain_summary     TEXT NOT NULL DEFAULT '',
+    memory_at              INTEGER,
     created_at             TEXT NOT NULL
 );
 -- 反查前驱（谁的 fact_link 指向我）走这个索引，写演变总结时要顺着链往回走
@@ -164,6 +166,8 @@ _ADDED_COLUMNS = {
     "coding_memory_meta": {
         "source_fact_ids": "TEXT NOT NULL DEFAULT '[]'",
         "extraction_source": "TEXT NOT NULL DEFAULT 'auto_extract'",
+        # 对话时间，秒级 epoch（同 chat）。老库里的行是 NULL：那时没存过。
+        "memory_at": "INTEGER",
     },
     # 早期版本存过一列 fact_chain（机械累积的历代说法），已废弃：同样的信息顺着
     # fact_link 反查就有。老库里那一列留着不管，有默认值不影响插入。
@@ -177,6 +181,7 @@ _ADDED_COLUMNS = {
         "subject": "TEXT NOT NULL DEFAULT ''",
         "details": "TEXT NOT NULL DEFAULT ''",
         "source": "TEXT NOT NULL DEFAULT 'default'",
+        "memory_at": "INTEGER",
     },
 }
 
@@ -290,6 +295,29 @@ def _parse_dt(s: Optional[str]) -> Optional[datetime]:
         return None
 
 
+def _from_epoch(value: Any) -> Optional[datetime]:
+    """memory_at 列（秒级 epoch）→ datetime；NULL 或坏值返回 None。"""
+    if value is None:
+        return None
+    try:
+        return datetime.fromtimestamp(int(value))
+    except Exception:
+        return None
+
+
+def _to_epoch(value: Optional[datetime]) -> Optional[int]:
+    return int(value.timestamp()) if isinstance(value, datetime) else None
+
+
+def _later(a: Optional[datetime], b: Optional[datetime]) -> Optional[datetime]:
+    """两个对话时间取较晚的；一边缺就取另一边。"""
+    if a is None:
+        return b
+    if b is None:
+        return a
+    return a if _to_epoch(a) >= _to_epoch(b) else b
+
+
 def _row_to_memory(row: sqlite3.Row) -> CodingMemory:
     """SQLite row → CodingMemory"""
     return CodingMemory(
@@ -308,6 +336,7 @@ def _row_to_memory(row: sqlite3.Row) -> CodingMemory:
         confidence=row["confidence"],
         source=row["source"],
         extraction_source=row["extraction_source"],
+        memory_at=_from_epoch(row["memory_at"]),
         created_at=_parse_dt(row["created_at"]),
         updated_at=_parse_dt(row["updated_at"]),
     )
@@ -334,6 +363,7 @@ def _row_to_fact(row: sqlite3.Row) -> WorkingFact:
         # 老库刚 ADD COLUMN 时可能取不到这一列，用 keys() 兜一下
         fact_chain_summary=(row["fact_chain_summary"] or ""
                             if "fact_chain_summary" in row.keys() else ""),
+        memory_at=_from_epoch(row["memory_at"]),
         created_at=_parse_dt(row["created_at"]),
     )
 
@@ -597,6 +627,8 @@ class CodingMemoryStore:
         memory.updated_at = datetime.utcnow()
         if memory.created_at is None:
             memory.created_at = prev.created_at
+        # 合并后的经验讲的是两段对话，对话时间取较晚的那段
+        memory.memory_at = _later(prev.memory_at, memory.memory_at)
         await _run_in_pool(self._upsert_sql_sync, memory)
         # 删旧 VDB
         await self._delete_vec_keys_by_count(memory.experience_id, prev_key_count)
@@ -1199,8 +1231,8 @@ class CodingMemoryStore:
                     experience_id, user_id, agent_id, task, search_keys, solution,
                     boundary_envs, workspace_id, branch, session_id,
                     files, source_fact_ids, confidence, source, extraction_source,
-                    created_at, updated_at
-                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                    memory_at, created_at, updated_at
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
                 ON CONFLICT(experience_id) DO UPDATE SET
                     user_id         = excluded.user_id,
                     agent_id        = excluded.agent_id,
@@ -1216,6 +1248,7 @@ class CodingMemoryStore:
                     confidence      = excluded.confidence,
                     source          = excluded.source,
                     extraction_source = excluded.extraction_source,
+                    memory_at       = excluded.memory_at,
                     updated_at      = excluded.updated_at
                 """,
                 (
@@ -1226,6 +1259,7 @@ class CodingMemoryStore:
                     json.dumps(memory.files, ensure_ascii=False),
                     json.dumps(memory.source_fact_ids, ensure_ascii=False),
                     memory.confidence, memory.source, memory.extraction_source,
+                    _to_epoch(memory.memory_at),
                     (memory.created_at or datetime.utcnow()).isoformat(),
                     (memory.updated_at or datetime.utcnow()).isoformat(),
                 ),
@@ -1366,8 +1400,8 @@ class CodingMemoryStore:
                     fact_id, user_id, agent_id, session_id, workspace_id, branch,
                     source, statement, files, subject, details,
                     fact_link, derived_experience_ids,
-                    status, fact_chain_summary, created_at
-                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+                    status, fact_chain_summary, memory_at, created_at
+                ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
                 ON CONFLICT(fact_id) DO UPDATE SET
                     user_id                = excluded.user_id,
                     agent_id               = excluded.agent_id,
@@ -1382,7 +1416,8 @@ class CodingMemoryStore:
                     fact_link              = excluded.fact_link,
                     derived_experience_ids = excluded.derived_experience_ids,
                     status                 = excluded.status,
-                    fact_chain_summary     = excluded.fact_chain_summary
+                    fact_chain_summary     = excluded.fact_chain_summary,
+                    memory_at              = excluded.memory_at
                 """,
                 (
                     fact.fact_id, fact.user_id, fact.agent_id,
@@ -1395,6 +1430,7 @@ class CodingMemoryStore:
                     json.dumps(fact.derived_experience_ids, ensure_ascii=False),
                     fact.status,
                     fact.fact_chain_summary or "",
+                    _to_epoch(fact.memory_at),
                     (fact.created_at or datetime.utcnow()).isoformat(),
                 ),
             )

hy_memory/coding/types.py

@@ -25,6 +25,11 @@ FactStatus = Literal["active", "superseded"]
 MAX_FACT_CHAIN_ENTRIES = 8
 
 
+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
+
+
 # ================================================================
 # 草稿（LLM extract 阶段输出）
 # ================================================================
@@ -53,6 +58,8 @@ class CodingMemoryDraft:
     files: List[str] = field(default_factory=list)
     source: str = "default"
     extraction_source: str = "auto_extract"
+    # 对话时间（SDK 注入，同 chat 的 memory_at）
+    memory_at: Optional[datetime] = None
 
     def __post_init__(self) -> None:
         from ..utils.source_filter import normalize_source
@@ -73,6 +80,7 @@ class CodingMemoryDraft:
             "files": list(self.files),
             "source": self.source,
             "extraction_source": self.extraction_source,
+            "memory_at": _epoch(self.memory_at),
         }
 
 
@@ -111,6 +119,9 @@ class CodingMemory:
     extraction_source: str = "auto_extract"
 
     # 时间
+    # memory_at 是对话时间（同 chat），created_at / updated_at 是写库时间。
+    # UPDATE 合并时取两者中较晚的那个对话时间，见 store.update。
+    memory_at: Optional[datetime] = None
     created_at: Optional[datetime] = None
     updated_at: Optional[datetime] = None
 
@@ -135,6 +146,7 @@ class CodingMemory:
             "confidence": self.confidence,
             "source": self.source,
             "extraction_source": self.extraction_source,
+            "memory_at": _epoch(self.memory_at),
             "created_at": self.created_at.isoformat() if self.created_at else None,
             "updated_at": self.updated_at.isoformat() if self.updated_at else None,
         }
@@ -249,6 +261,7 @@ class WorkingFact:
     fact_chain_summary: str = ""
 
     # 时间
+    memory_at: Optional[datetime] = None   # 对话时间（同 chat），没传时是收到请求的时间
     created_at: Optional[datetime] = None  # 产生时间，新的优先
 
     def __post_init__(self) -> None:
@@ -272,6 +285,7 @@ class WorkingFact:
             "derived_experience_ids": list(self.derived_experience_ids),
             "status": self.status,
             "fact_chain_summary": self.fact_chain_summary,
+            "memory_at": _epoch(self.memory_at),
             "created_at": self.created_at.isoformat() if self.created_at else None,
         }
 

hy_memory/coding/writer.py

@@ -18,6 +18,7 @@ CodingWriter - 写入端协调器
 import logging
 import time
 import uuid
+from datetime import datetime
 from typing import Any, Dict, List, Optional
 
 from ..agent.llm_provider import LLMProvider
@@ -79,9 +80,11 @@ class CodingWriter:
         session_id: Optional[str] = None,
         request_id: Optional[str] = None,
         source: str = "default",
+        memory_at: Optional[datetime] = None,
     ) -> Dict[str, Any]:
         """
-        working/coding 段写入端到端。返回响应 dict（兼容 client.add 返回结构）：
+        working/coding 段写入端到端。memory_at 是对话时间，记到这次写出的经验和
+        事实上；不传则用收到请求的时间（与 chat 链路一致）。返回响应 dict（兼容 client.add 返回结构）：
             {
                 "success": True,
                 "scene": "productivity",
@@ -101,6 +104,8 @@ class CodingWriter:
         """
         request_id = request_id or str(uuid.uuid4())
         t0 = time.perf_counter()
+        if memory_at is None:
+            memory_at = datetime.now()
 
         if not messages:
             return self._empty_response(request_id, t0)
@@ -172,6 +177,7 @@ class CodingWriter:
         # extractor 只负责内容；调用来源由 SDK 入口注入，不能交给 LLM 生成。
         for draft in drafts:
             draft.source = source
+            draft.memory_at = memory_at
 
         # 3. 经验层 reconcile + 持久化
         ops: List[ReconcileOp] = (
@@ -197,6 +203,7 @@ class CodingWriter:
                 workspace_id=workspace_id,
                 branch=branch,
                 source=source,
+                memory_at=memory_at,
             )
 
         experience_ids = [op.target_experience_id for op in ops

memhub/README.md

@@ -18,7 +18,7 @@ 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==2.0.6`。MemHub 源码版本为 `1.0.5`
+源码当前固定使用公开 PyPI 正式版 `hy-memory==2.0.7`。MemHub 源码版本为 `1.0.5`
 （build 14），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
@@ -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==2.0.6`。SDK 配置、权限边界及 search
+SDK 依赖固定为公开 PyPI 正式版 `hy-memory==2.0.7`。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": "2.0.6",
+      "versionInfo": "2.0.7",
       "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 2.0.6
+## hy-memory 2.0.7
 
 License: Apache-2.0
 

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==2.0.6",
+    "hy-memory==2.0.7",
     # chromadb arrives through the HY SDK; locked here so an unrelated upgrade
     # cannot move the SDK's store. Built-in embedding consumes numpy directly.
     "chromadb==1.5.9",

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

@@ -47,8 +47,8 @@ from one_memory.background_work import shutdown_bulk_pool, warm_bulk_pool
 from one_memory.config import Settings, load_settings
 from one_memory.context_routes import sdk_context_router
 from one_memory.conversation_processing import (
-    _conversation_chunks,
     memory_task_timeout_seconds,
+    turn_batches,
 )
 from one_memory.database_access import (
     MAIN_DATABASE_REPORT_SECONDS,
@@ -95,6 +95,8 @@ from one_memory.hy_sdk_runtime import (
     SdkClientHandle,
     builtin_retrieval_snapshot,
     close_all_shared_runtimes,
+    hold_stores_offline,
+    release_stores,
     sdk_relevance_floor,
 )
 from one_memory.hy_sdk_types import (
@@ -223,6 +225,7 @@ from one_memory.sdk_memory_qa import (
     SdkMemoryAnswerer,
 )
 from one_memory.sdk_memory_runtime import SdkMemoryRuntime
+from one_memory.sdk_migration_log import error_chain_text, error_frames
 from one_memory.sdk_write_processor import SdkWriteCoordinator
 from one_memory.secrets import (
     KeyringSecretStore,
@@ -710,7 +713,8 @@ def create_app(
                 raise SdkMigrationRequired()
             if app.state.memory_authority is MemoryAuthority.SDK:
                 # The metadata repair after a cutover reads every bundle: it is
-                # recovery work, so it runs after readiness (`recover_after_ready`).
+                # recovery work, so it runs after readiness (`recover_after_ready`)
+                # while the SDK's stores are held offline (see there).
                 app.state.memory_governance_store = RetiredGovernanceStore(database_path)
                 app.state.evidence_store = RetiredEvidenceStore(database_path)
             else:
@@ -1026,28 +1030,25 @@ def create_app(
 
             app.state.memory_write_intake = UnifiedWriteIntake(
                 memory_write_queue,
-                source_writes_permitted=lambda source_id: (
-                    source_id == "one-memory-manual" or _source_writes_on(app, source_id)
-                ),
+                source_writes_permitted=lambda source_id: _source_writes_on(app, source_id),
             )
             app.state.start_memory_backfill = lambda: _start_backfill(app)
 
             async def enqueue_stable_evidence(record: EvidenceRecord) -> None:
-                priority = "live" if live_sync_arrival.get() else "normal"
+                live = live_sync_arrival.get()
                 conversation = await asyncio.to_thread(
                     app.state.evidence_store.list_conversation, record.evidence_id
                 )
-                for chunk in _conversation_chunks(conversation, max_turns=12, completed_only=True):
-                    if (
-                        record not in chunk
-                        or not any(item.role == "user" for item in chunk)
-                        or not any(item.role == "assistant" for item in chunk)
-                    ):
-                        continue
+                # Legacy authority. The turn rule groups the whole conversation
+                # from its start, so a batch's records and key never change:
+                # history (end of file) writes it all, live writes complete
+                # batches and leaves the rest to catch-up (`_run_backfill`).
+                batches = turn_batches(conversation, flush=not live).batches
+                for batch in _batches_settled_by(batches, record):
                     await asyncio.to_thread(
                         app.state.memory_write_intake.submit_records,
-                        chunk,
-                        priority=priority,
+                        batch,
+                        priority="live" if live else "normal",
                     )
 
             app.state.memory_addition_store = MemoryAdditionStore(
@@ -1189,10 +1190,14 @@ def create_app(
                     except Exception as error:
                         failed.append(name)
                         app.state.recovery_failed_steps = tuple(failed)
+                        # Where it failed, as `file:line:function` frames of
+                        # the exception chain, never its message: a bare
+                        # `error_type=KeyError` named no location.
                         logger.warning(
-                            "core_recovery_step_failed step=%s error_type=%s",
+                            "core_recovery_step_failed step=%s error_type=%s chain=%s",
                             name,
                             type(error).__name__,
+                            error_chain_text(error),
                         )
                         diagnostic_event(
                             level="warn",
@@ -1200,20 +1205,42 @@ def create_app(
                             event="core.recovery_step_failed",
                             outcome="failed",
                             error_type=type(error).__name__,
+                            safe_stack=error_frames(error) or None,
                             duration_ms=elapsed_ms(step_started),
                             details={"phase": name},
                         )
 
                 async def repair_sdk_metadata() -> None:
+                    # `sdk-migrate` repairs right after its cutover and writes
+                    # the receipt, so this normally finds it and returns. It
+                    # stays for homes whose repair failed before that (no
+                    # receipt). It opens its own Chroma client on the SDK's
+                    # vector store, and Chroma's shared System is not safe
+                    # beside another client: a first library request that
+                    # opened the SDK client meanwhile lost it (KeyError).
+                    # The stores were held offline before readiness, so any
+                    # SDK client waits for this step.
                     from one_memory.hy_sdk_migration import (
                         repair_sdk_metadata_from_bundle,
                     )
 
-                    repair = await asyncio.to_thread(
-                        repair_sdk_metadata_from_bundle,
-                        data_dir=runtime_settings.data_dir,
-                        database_path=database_path,
+                    if not app.state.sdk_stores_held:
+                        logger.warning("sdk_metadata_repair_deferred reason=sdk_client_open")
+                        return
+                    # The hold is this step's from here; shutdown leaves it.
+                    app.state.sdk_stores_held = False
+                    work = asyncio.ensure_future(
+                        asyncio.to_thread(
+                            repair_sdk_metadata_from_bundle,
+                            data_dir=runtime_settings.data_dir,
+                            database_path=database_path,
+                        )
                     )
+                    # Released when the thread ends, not when this coroutine
+                    # is cancelled: a cancelled await leaves the thread
+                    # writing Chroma.
+                    work.add_done_callback(lambda _work: release_stores(runtime_settings.data_dir))
+                    repair = await asyncio.shield(work)
                     if repair.vector_rows or repair.coding_rows:
                         logger.info(
                             "sdk_metadata_repair_completed mapped=%d vector=%d coding=%d",
@@ -1337,7 +1364,12 @@ def create_app(
                 )
 
             app.state.recovery_task = None
+            app.state.sdk_stores_held = False
             try:
+                if app.state.memory_authority is MemoryAuthority.SDK:
+                    # Before the first request can open an SDK client; the
+                    # metadata repair step releases it.
+                    app.state.sdk_stores_held = hold_stores_offline(runtime_settings.data_dir)
                 diagnostic_event(
                     level="info",
                     component="core.lifecycle",
@@ -1394,6 +1426,10 @@ def create_app(
                 if app.state.live_sync_watch is not None:
                     await app.state.live_sync_watch.shutdown()
                 await app.state.live_sync_supervisor.shutdown()
+                if app.state.sdk_stores_held:
+                    # Recovery never reached the metadata repair step.
+                    release_stores(runtime_settings.data_dir)
+                    app.state.sdk_stores_held = False
                 await app.state.import_supervisor.shutdown()
                 app.state.memory_write_drain.stop()
                 if app.state.memory_write_drain_task is not None:
@@ -2824,11 +2860,24 @@ def create_app(
         dependencies=protected,
     )
     async def sdk_home_summary() -> SdkHomeSummary:
+        """The home card: the memory page's count and its newest memory.
+
+        The count is `memory_stats` total (chat + working + coding
+        experiences, facts not counted), the same set the memory page lists
+        with scene="all". Without a scene `list_memories` counts chat only,
+        which showed 55 on the home card against 94 on the memory page.
+        """
         try:
             client = await _sdk_client_handle(app).client()
+            stats = await asyncio.to_thread(
+                client.memory_stats,
+                user_id="local",
+                statuses=["active"],
+            )
             raw = await asyncio.to_thread(
                 client.list_memories,
                 user_id="local",
+                scene="all",
                 statuses=["active"],
                 limit=1,
                 offset=0,
@@ -2838,8 +2887,9 @@ def create_app(
             _log_skipped_sdk_memories(skipped)
         except Exception as error:
             raise _sdk_http_error(error, "hy_memory_list_failed") from None
+        total = stats.get("total") if isinstance(stats, dict) else None
         return SdkHomeSummary(
-            memory_count=page.total,
+            memory_count=total if isinstance(total, int) and total >= 0 else page.total,
             latest=page.memories[0] if page.memories else None,
             observed_at=datetime.now(UTC),
         )
@@ -4330,14 +4380,11 @@ async def _run_backfill(app: FastAPI) -> None:
                     _evidence_store(app).list_conversation,
                     evidence_id,
                 )
-                for chunk in _conversation_chunks(
-                    conversation,
-                    max_turns=12,
-                    completed_only=True,
-                ):
-                    if not any(item.evidence_id in evidence_ids for item in chunk):
+                # Catch-up is history: the last turn and a short batch are written.
+                for batch in turn_batches(conversation, flush=True).batches:
+                    if not any(item.evidence_id in evidence_ids for item in batch):
                         continue
-                    await asyncio.to_thread(intake.submit_records, chunk, priority="normal")
+                    await asyncio.to_thread(intake.submit_records, batch, priority="normal")
             cursor = evidence_ids[-1]
     except asyncio.CancelledError:
         raise
@@ -4356,6 +4403,22 @@ async def _run_backfill(app: FastAPI) -> None:
         logger.exception("memory catch-up failed, no further memories will be made")
 
 
+def _batches_settled_by(
+    batches: tuple[tuple[EvidenceRecord, ...], ...],
+    record: EvidenceRecord,
+) -> list[tuple[EvidenceRecord, ...]]:
+    """The batches one arriving record can have made writable.
+
+    Its own batch, and the last two: a user message completes the turn
+    before it, which can close that turn's batch and, at the 8000-character
+    cut, the batch before it. Submitting is idempotent, so an older batch
+    named again is only a hit.
+    """
+    chosen = [batch for batch in batches if record in batch]
+    chosen.extend(batch for batch in batches[-2:] if batch not in chosen)
+    return chosen
+
+
 def _sdk_memory_runtime(app: FastAPI) -> SdkMemoryRuntime:
     return cast(
         SdkMemoryRuntime,
@@ -4651,10 +4714,17 @@ def _evidence_store(app: FastAPI) -> EvidenceStore:
 
 
 def _source_writes_on(app: FastAPI, source_id: str) -> bool:
-    """Whether this source's conversations may become memories."""
+    """Whether this source's conversations may become memories.
+
+    A hand-added memory is allowed unless its grant was explicitly revoked;
+    a missing grant row is allowed. The SDK add path writes no grant row, so
+    requiring one left every SDK-authority manual add unclaimable: Pending
+    forever with attempts=0 while later jobs ran. Intake, claim and execute
+    all ask this one question.
+    """
     if source_id == "one-memory-manual":
         receipt = _grant_store(app).receipt(user_id="local", source_id=source_id)
-        return receipt is not None and receipt.revoked_at is None
+        return receipt is None or receipt.revoked_at is None
     return _source_processing_enabled(app, source_id)
 
 

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

@@ -4,9 +4,10 @@ from __future__ import annotations
 
 import os
 import re
+from collections.abc import Sequence
+from dataclasses import dataclass
 
-from one_memory.imports.models import EvidenceContentKind, EvidenceOrigin, EvidenceRecord
-from one_memory.memory_tasks import segment_evidence_record
+from one_memory.imports.models import EvidenceContentKind, EvidenceRecord
 
 MEMORY_TASK_TIMEOUT_MARGIN_SECONDS = 60.0
 MEMORY_TASK_TIMEOUT_MIN_SECONDS = 180.0
@@ -29,10 +30,13 @@ _HOST_ENVELOPE = re.compile(
     r")",
     re.IGNORECASE | re.DOTALL,
 )
-_WHOLE_TURN_CHARACTERS = 60_000
-_WINDOW_BYTE_CEILING = 2_000_000
-_HISTORY_MERGE_TURNS = 8
-_HISTORY_MERGE_CHARACTERS = 8_000
+#: The write rule (`turn_batches`): every 5 complete turns, or fewer when
+#: the next turn would take the batch past 8000 HY-read characters.
+TURN_BATCH_TURNS = 5
+TURN_BATCH_CHARACTERS = 8_000
+#: A live conversation's last turn counts as complete, and a short batch is
+#: written, after this long without a new message in that conversation.
+TURN_IDLE_FLUSH_SECONDS = 600
 
 
 def memory_task_timeout_seconds(model_timeout_seconds: float) -> float:
@@ -57,180 +61,83 @@ def _coding_tool_result_max_bytes() -> int:
 _HY_TOOL_CHARACTERS = _coding_tool_result_max_bytes()
 
 
-def _conversation_chunks(
-    records: list[EvidenceRecord],
-    *,
-    max_characters: int | None = None,
-    max_turns: int | None = None,
-    completed_only: bool = False,
-) -> list[tuple[EvidenceRecord, ...]]:
-    """Build bounded, complete user/assistant/tool windows."""
+@dataclass(frozen=True)
+class TurnBatches:
+    """What a conversation's records become: batches to write, records to keep."""
+
+    #: Each batch is whole turns; every batch holds at least one user message.
+    batches: tuple[tuple[EvidenceRecord, ...], ...]
+    #: Not written yet: the open last turn, complete turns short of a batch,
+    #: or records with no user message before them. Fed back in, in order,
+    #: with the conversation's next records.
+    carry: tuple[EvidenceRecord, ...]
+
+
+def conversation_turns(records: Sequence[EvidenceRecord]) -> list[tuple[EvidenceRecord, ...]]:
+    """One user message and every record after it up to the next user message.
+
+    Records before the first user message are not a turn of their own: they
+    join the first turn (an assistant proposal and the user turn adopting it
+    reach HY together). With no user message at all the result is one group
+    that does not open with a user, which `turn_batches` never writes.
+    """
     turns: list[list[EvidenceRecord]] = []
     for record in records:
         if not _is_hy_turn_record(record):
             continue
-        pending_proposal = bool(turns) and not _opens_turn(turns[-1][0])
-        if not turns or (_opens_turn(record) and not pending_proposal):
+        # Until the first user message, the group is leading records only.
+        leading = bool(turns) and not any(_opens_turn(item) for item in turns[-1])
+        if not turns or (_opens_turn(record) and not leading):
             turns.append([record])
         else:
             turns[-1].append(record)
-
-    if completed_only and turns and _trailing_user_turn_is_open(turns[-1]):
-        turns.pop()
-
-    whole = _whole_turns() and max_characters is None
-    if whole:
-        size = _hy_read_length
-        max_characters = _WHOLE_TURN_CHARACTERS
-        max_turns = max_turns or 1_000_000
-    else:
-        size = lambda record: len(record.verbatim)  # noqa: E731
-        max_characters = max_characters or 12_000
-        max_turns = max_turns or 24
-
-    chunks: list[tuple[EvidenceRecord, ...]] = []
-    for turn in turns:
-        original_question = turn[0] if _opens_turn(turn[0]) else None
-        expanded: list[EvidenceRecord] = []
-        for record in turn:
-            reserve = (
-                size(original_question)
-                if original_question is not None
-                and record is not original_question
-                and size(original_question) < max_characters
-                else 0
-            )
-            segment_limit = max(1, max_characters - reserve)
-            if size(record) <= segment_limit:
-                expanded.append(record)
-                continue
-            spans = _semantic_segment_spans(record.verbatim, segment_limit)
-            expanded.extend(
-                segment_evidence_record(record, index=index, start=start, end=end)
-                if len(spans) > 1
-                else record
-                for index, (start, end) in enumerate(spans)
-            )
-        question = expanded[0] if expanded and _opens_turn(expanded[0]) else None
-        current: list[EvidenceRecord] = []
-        for record in expanded:
-            if current and (
-                len(current) >= max_turns
-                or sum(size(item) for item in current) + size(record) > max_characters
-                or sum(_window_bytes(item) for item in current) + _window_bytes(record)
-                > _WINDOW_BYTE_CEILING
-            ):
-                chunks.append(tuple(current))
-                current = (
-                    [question]
-                    if question is not None
-                    and max_turns > 1
-                    and size(question) + size(record) <= max_characters
-                    else []
-                )
-            current.append(record)
-        chunks.append(tuple(current))
-    return _merge_tool_only_chunks(chunks)
+    return [tuple(turn) for turn in turns]
 
 
-def _semantic_segment_spans(text: str, limit: int) -> list[tuple[int, int]]:
-    if len(text) <= limit:
-        return [(0, len(text))]
-    spans: list[tuple[int, int]] = []
-    start = 0
-    separators = ("\n\n", "\n", "。", "！", "？", ". ", "! ", "? ")
-    while start < len(text):
-        hard_end = min(len(text), start + limit)
-        if hard_end == len(text):
-            end = hard_end
-        else:
-            floor = start + max(1, limit // 2)
-            candidates = [text.rfind(separator, floor, hard_end) for separator in separators]
-            boundary = max(candidates)
-            if boundary < floor:
-                end = hard_end
-            else:
-                matched = next(
-                    separator for separator in separators if text.startswith(separator, boundary)
-                )
-                end = boundary + len(matched)
-        spans.append((start, end))
-        start = end
-    return spans
+def turn_batches(records: Sequence[EvidenceRecord], *, flush: bool) -> TurnBatches:
+    """Group a conversation's records into write batches by the turn rule.
 
-
-def _merge_tool_only_chunks(
-    chunks: list[tuple[EvidenceRecord, ...]],
-) -> list[tuple[EvidenceRecord, ...]]:
-    if not any(chunk and all(record.role == "tool" for record in chunk) for chunk in chunks):
-        return chunks
-    merged: list[tuple[EvidenceRecord, ...]] = []
-    leading_tools: list[EvidenceRecord] = []
-    for chunk in chunks:
-        if not chunk:
-            continue
-        if all(record.role == "tool" for record in chunk):
-            if merged:
-                merged[-1] = (*merged[-1], *chunk)
-            else:
-                leading_tools.extend(chunk)
-            continue
-        if leading_tools:
-            chunk = (*leading_tools, *chunk)
-            leading_tools = []
-        merged.append(chunk)
-    return [] if leading_tools else merged
-
-
-def _merge_historical_chunks(
-    chunks: list[tuple[EvidenceRecord, ...]],
-    *,
-    max_turns: int = _HISTORY_MERGE_TURNS,
-    max_characters: int = _HISTORY_MERGE_CHARACTERS,
-) -> list[tuple[EvidenceRecord, ...]]:
-    if not chunks:
-        return []
-    merged: list[tuple[EvidenceRecord, ...]] = []
-    current: list[EvidenceRecord] = []
-    current_turns = 0
+    - A turn is complete once the next user message follows it; `flush`
+      completes the last one too (history at end of file, or 10 idle minutes).
+    - Every 5 complete turns are one batch. Before 5, a turn that would take
+      the batch past 8000 characters starts the next batch; one turn over
+      8000 is a batch by itself and is never split.
+    - Characters are what HY reads: user/assistant text in full, a tool
+      record up to `_HY_TOOL_CHARACTERS`.
+    - Fewer than 5 complete turns within 8000 are written only on `flush`.
+    - No batch is written without a user message; records with none before
+      them are carried, and dropped on `flush`.
+    """
+    turns = conversation_turns(records)
+    if turns and not any(_opens_turn(record) for record in turns[0]):
+        # Records with no user message yet: nothing to write until one comes.
+        return TurnBatches(batches=(), carry=() if flush else turns[0])
+    complete = turns if flush else turns[:-1]
+    open_tail = () if flush or not turns else turns[-1]
+    batches: list[tuple[EvidenceRecord, ...]] = []
+    current: list[tuple[EvidenceRecord, ...]] = []
     current_characters = 0
-    for chunk in chunks:
-        chunk_characters = sum(len(record.verbatim) for record in chunk)
-        if current and (
-            current_turns >= max_turns or current_characters + chunk_characters > max_characters
-        ):
-            merged.append(tuple(current))
-            current = []
-            current_turns = 0
-            current_characters = 0
-        current.extend(chunk)
-        current_turns += 1
-        current_characters += chunk_characters
-    if current:
-        merged.append(tuple(current))
-    return merged
-
-
-def _chunk_input_ref(chunk: tuple[EvidenceRecord, ...]) -> str:
-    user_records = tuple(item for item in chunk if item.role == "user")
-    return user_records[-1].evidence_id if user_records else chunk[-1].evidence_id
+    for turn in complete:
+        characters = sum(_hy_read_length(record) for record in turn)
+        if current and current_characters + characters > TURN_BATCH_CHARACTERS:
+            batches.append(tuple(record for item in current for record in item))
+            current, current_characters = [], 0
+        current.append(turn)
+        current_characters += characters
+        if len(current) >= TURN_BATCH_TURNS or current_characters > TURN_BATCH_CHARACTERS:
+            batches.append(tuple(record for item in current for record in item))
+            current, current_characters = [], 0
+    if current and flush:
+        batches.append(tuple(record for item in current for record in item))
+        current = []
+    carry = tuple(record for item in current for record in item) + tuple(open_tail)
+    return TurnBatches(batches=tuple(batches), carry=carry)
 
 
 def _opens_turn(record: EvidenceRecord) -> bool:
     return record.role == "user"
 
 
-def _trailing_user_turn_is_open(turn: list[EvidenceRecord]) -> bool:
-    if len(turn) != 1:
-        return False
-    opener = turn[0]
-    return (
-        _opens_turn(opener)
-        and opener.content_kind is EvidenceContentKind.RAW_CONVERSATION
-        and not _is_hand_added_memory(opener)
-    )
-
-
 def _is_hy_turn_record(record: EvidenceRecord) -> bool:
     if record.role == "tool":
         return record.content_kind is EvidenceContentKind.RAW_CONVERSATION and bool(
@@ -254,23 +161,6 @@ def _is_hy_input_turn(record: EvidenceRecord) -> bool:
     return _HOST_ENVELOPE.search(source[:2_000]) is None
 
 
-def _is_hand_added_memory(record: EvidenceRecord) -> bool:
-    meta = record.origin_meta.get(EvidenceOrigin.MANUAL_IMPORT)
-    return (
-        record.source_id == "one-memory-manual"
-        and meta is not None
-        and meta.raw_meta.get("input_mode") == "direct_memory_note"
-    )
-
-
-def _window_bytes(record: EvidenceRecord) -> int:
-    return len(record.verbatim.encode("utf-8"))
-
-
-def _whole_turns() -> bool:
-    return os.environ.get("ONE_MEMORY_SPLIT_TURNS", "").strip() != "1"
-
-
 def _hy_read_length(record: EvidenceRecord) -> int:
     if record.role == "tool":
         return min(len(record.verbatim), _HY_TOOL_CHARACTERS)

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 = "2.0.6"
+HY_MEMORY_VERSION = "2.0.7"
 HY_MEMORY_NAMESPACE = "governed-v2"
 DiagnosticLogLevel = Literal["error", "warning", "info", "debug"]
 

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

@@ -82,7 +82,10 @@ def repair_sdk_metadata_from_bundle(
     database_path: Path,
     now: datetime | None = None,
 ) -> MetadataRepairResult:
-    """Restore metadata lost by historical cutovers from their verified bundles."""
+    """Restore metadata lost by historical cutovers from their verified bundles.
+
+    Offline only: no SDK client may be open on this home (see `_repair_vector`).
+    """
     migration_id = _sdk_migration_id(database_path)
     if migration_id is None:
         return MetadataRepairResult(None, 0, 0, 0)
@@ -329,8 +332,11 @@ def _repair_vector(
     from one_memory.sdk_vector_reattach import open_offline_chroma
 
     client = open_offline_chroma(directory)
-    # The SDK client is not open yet (startup has not created its handle), so
-    # this is the only writer; release the store before the SDK takes it.
+    # This must be the only Chroma client on the directory: Chroma shares one
+    # System per path, and this client's close() drops it from under any
+    # other (KeyError on its next lookup). `sdk-migrate` runs it after the
+    # cutover with Runtime stopped; Core's startup fallback runs it while
+    # `hold_stores_offline` keeps every SDK client waiting.
     try:
         repaired = 0
         ids = tuple(mapping)
@@ -420,6 +426,7 @@ def _repair_coding(
         path = root / name
         if not path.is_file():
             continue
+        _ensure_coding_schema(path)
         with closing(sqlite3.connect(path)) as database:
             tables = {
                 str(row[0])
@@ -431,10 +438,14 @@ def _repair_coding(
             ):
                 if table not in tables:
                     continue
+                # _ensure_coding_schema added it; an SDK without the column
+                # (before 2.0.7) leaves the time to the vector repair alone.
+                has_memory_at = "memory_at" in _columns(database, table)
                 rows = database.execute(
-                    f"SELECT {identifier},source,created_at FROM {table}"
+                    f"SELECT {identifier},source,created_at,"
+                    f"{'memory_at' if has_memory_at else 'NULL'} FROM {table}"
                 ).fetchall()
-                for memory_id, source, created_at in rows:
+                for memory_id, source, created_at, memory_at in rows:
                     desired = mapping.get(str(memory_id))
                     if desired is None:
                         continue
@@ -443,6 +454,13 @@ def _repair_coding(
                     if desired.source and source in {None, "", "default"}:
                         updates.append("source=?")
                         values.append(desired.source)
+                    if (
+                        has_memory_at
+                        and desired.memory_at is not None
+                        and memory_at != desired.memory_at
+                    ):
+                        updates.append("memory_at=?")
+                        values.append(desired.memory_at)
                     if desired.created_at is not None:
                         desired_created_at = (
                             datetime.fromtimestamp(desired.created_at, tz=UTC)
@@ -464,6 +482,32 @@ def _repair_coding(
     return repaired
 
 
+def _ensure_coding_schema(path: Path) -> None:
+    """Bring a Coding/Working store to the installed SDK's schema.
+
+    A migrated home's stores were written by an older SDK and may lack columns
+    the repair writes (``memory_at`` since hy-memory 2.0.7). The repair runs
+    before any SDK client opens them, so the SDK's own schema step is run here
+    rather than repeating its DDL. ``CodingMemoryStore`` has no public
+    schema-only entry point: ``initialize()`` also opens its Chroma
+    collections, which must stay closed during the offline repair. So only its
+    SQLite step runs, on a store object that carries nothing but that path.
+    """
+    from hy_memory.coding.store import (  # type: ignore[import-untyped]
+        CodingMemoryStore,
+    )
+
+    # Relies on the pinned SDK's internals (hy-memory==2.0.7 is pinned exactly).
+    store = CodingMemoryStore.__new__(CodingMemoryStore)
+    store._db_path = str(path)
+    store._conn = None
+    try:
+        store._init_sqlite_sync()
+    finally:
+        if store._conn is not None:
+            store._conn.close()
+
+
 def _batches[T](values: list[T] | tuple[T, ...]) -> Iterator[tuple[T, ...]]:
     for start in range(0, len(values), _BATCH):
         yield tuple(values[start : start + _BATCH])

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

@@ -36,7 +36,11 @@ from one_memory.hy_graph_admin import (
 )
 from one_memory.hy_sdk_types import HySdkRuntimeError
 from one_memory.local_embedding import LocalEmbedder
-from one_memory.model_profiles import ModelProfileSnapshot, ProviderKind
+from one_memory.model_profiles import (
+    ModelProfileSnapshot,
+    ProviderKind,
+    disable_thinking_params,
+)
 
 _RUNTIME_LOCK = threading.RLock()
 BUILTIN_RETRIEVAL_PROFILE_ID = "builtin-retrieval"
@@ -52,6 +56,16 @@ class _RuntimeEntry:
 
 _RUNTIMES: dict[Path, _RuntimeEntry] = {}
 
+# Homes whose SDK-owned local stores are held offline for maintenance, and
+# the client constructions in flight per home. Chroma keeps one process-wide
+# System per path with no lock around create, lookup and release, so a
+# second client that opens or closes beside the SDK's pulls the System out
+# from under it (KeyError on the next lookup). Maintenance therefore runs
+# only while no SDK client exists for that home, and new clients wait.
+_STORE_GATE = threading.Condition()
+_OFFLINE_STORES: set[Path] = set()
+_OPENING: dict[Path, int] = {}
+
 
 class LocalOnnxEmbeddingService:
     """Public ``EmbeddingService`` implementation backed by MemHub's ONNX model."""
@@ -244,14 +258,22 @@ def build_sdk_config(
         embedding_provider, embedding_endpoint, embedding_model, dimensions
     )
 
+    llm: dict[str, Any] = {
+        "provider": "openai",
+        "model": profile.model,
+        "api_key": generation_key,
+        "base_url": generation_endpoint,
+    }
+    # The SDK sends `extra_body` on every chat call, chat and coding/working
+    # alike. Without it DeepSeek spent the whole agent_max_tokens on thinking
+    # and answered finish_reason=length with no content.
+    thinking_off = disable_thinking_params(profile)
+    if thinking_off:
+        llm["extra_body"] = thinking_off
+
     return MemoryConfig.from_dict(
         {
-            "llm": {
-                "provider": "openai",
-                "model": profile.model,
-                "api_key": generation_key,
-                "base_url": generation_endpoint,
-            },
+            "llm": llm,
             "embedder": {
                 "provider": "openai",
                 "model": (
@@ -295,7 +317,60 @@ def acquire_client(
     data_dir: Path,
     http_transport_factory: Callable[[], Any] | None = None,
 ) -> ClientLease:
-    """Construct a public SDK client and return its explicit runtime lease."""
+    """Construct a public SDK client and return its explicit runtime lease.
+
+    Waits while `hold_stores_offline` holds this home's stores.
+    """
+    key = data_dir.resolve()
+    with _STORE_GATE:
+        while key in _OFFLINE_STORES:
+            _STORE_GATE.wait()
+        _OPENING[key] = _OPENING.get(key, 0) + 1
+    try:
+        return _acquire_client(
+            profile,
+            api_key=api_key,
+            data_dir=data_dir,
+            http_transport_factory=http_transport_factory,
+        )
+    finally:
+        with _STORE_GATE:
+            _OPENING[key] -= 1
+            if not _OPENING[key]:
+                del _OPENING[key]
+            _STORE_GATE.notify_all()
+
+
+def hold_stores_offline(data_dir: Path) -> bool:
+    """Hold this home's SDK stores for offline maintenance; False if a client is open.
+
+    While held, `acquire_client` for the home waits. Every SDK client in Core
+    is built there, so nothing reads or writes Chroma beside the maintenance.
+    `release_stores` ends the hold; it is idempotent.
+    """
+    key = data_dir.resolve()
+    with _STORE_GATE:
+        with _RUNTIME_LOCK:
+            open_runtime = key in _RUNTIMES
+        if key in _OFFLINE_STORES or _OPENING.get(key) or open_runtime:
+            return False
+        _OFFLINE_STORES.add(key)
+        return True
+
+
+def release_stores(data_dir: Path) -> None:
+    with _STORE_GATE:
+        _OFFLINE_STORES.discard(data_dir.resolve())
+        _STORE_GATE.notify_all()
+
+
+def _acquire_client(
+    profile: ModelProfileSnapshot,
+    *,
+    api_key: str | None,
+    data_dir: Path,
+    http_transport_factory: Callable[[], Any] | None,
+) -> ClientLease:
     config = build_sdk_config(profile, api_key=api_key, data_dir=data_dir)
     config.http_transport_factory = http_transport_factory
     mismatch = inspect_graph_width_mismatch(config)

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

@@ -151,6 +151,7 @@ class HySdkMemoryRecord(BaseModel):
         if not content.strip():
             raise HySdkReadError("hy_memory_record_shape_unknown")
         status = str(raw.get("status") or "active")
+        memory_at = raw.get("memory_at")
         created_at = _epoch(raw.get("created_at"))
         updated_at = _epoch(raw.get("updated_at"))
         try:
@@ -167,6 +168,9 @@ class HySdkMemoryRecord(BaseModel):
                     str(raw["session_id"]) if isinstance(raw.get("session_id"), str) else None
                 ),
                 source=str(raw["source"]) if isinstance(raw.get("source"), str) else None,
+                # Conversation time; hy-memory 2.0.7 stores it for experiences
+                # and facts. Older stores leave it unknown.
+                memory_at=memory_at if isinstance(memory_at, int) else None,
                 gmt_created=created_at,
                 scene=cast(MemoryScene, variant),
                 kind=cast(MemoryKindName, kind),

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

@@ -662,11 +662,15 @@ class ImportRunner:
                         and self.sdk_queue is not None
                         and event.cursor.read_to_end
                     ):
+                        # History ends at this end of file, so its last turn
+                        # and a short batch are written. Live polling keeps
+                        # them for the next increment or the idle flush.
                         self.sdk_queue.finalize_sdk_file(
                             user_id=current.user_id,
                             source_id=current.source_id,
                             file_key=event.cursor.file_key,
                             connection=connection,
+                            flush=not self._live_import,
                         )
                         continue
                     if self.on_stable_evidence is not None and event.cursor.read_to_end:

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

@@ -256,24 +256,19 @@ def record_capture_rejection(
 
 
 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.conversation_processing import _conversation_chunks
     from one_memory.memory_server.durable_queue import DurableWriteQueue
-    from one_memory.memory_server.unified_entry import UnifiedWriteIntake
 
-    intake = UnifiedWriteIntake(DurableWriteQueue(store.database_path, evidence=store))
-    for chunk in _conversation_chunks(
-        store.list_conversation(record.evidence_id),
-        max_turns=12,
-        completed_only=True,
-    ):
-        if (
-            record in chunk
-            and any(item.role == "user" for item in chunk)
-            and any(item.role == "assistant" for item in chunk)
-        ):
-            intake.submit_records(chunk, priority="live")
+    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:

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

@@ -130,10 +130,18 @@ class MemoryAdditionStore:
                 raise RuntimeError("sdk_memory_add_intake_unavailable")
             record = materialize_write_input(value, observed_at=now)
             with main_database(self.write_queue.database_path).read() as database:
+                # No grant row is written here: a missing row means allowed,
+                # only an explicit revocation refuses (same as the claim gate).
+                grant = database.execute(
+                    "SELECT revoked_at FROM source_grants WHERE user_id='local' AND source_id=?",
+                    (SOURCE_ID,),
+                ).fetchone()
                 existing = database.execute(
                     "SELECT request_id FROM memory_note_requests WHERE note_id=?",
                     (record.evidence_id,),
                 ).fetchone()
+            if grant is not None and grant[0] is not None:
+                raise ValueError("memory_add_source_revoked")
             if existing is not None:
                 current = self.require(record.evidence_id)
                 if current.verbatim != record.verbatim:

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

@@ -24,10 +24,11 @@ from collections.abc import Awaitable, Callable
 from dataclasses import dataclass
 from datetime import UTC, datetime, timedelta
 from pathlib import Path
-from typing import Any
+from typing import Any, Literal
 from uuid import uuid4
 
 from one_memory.background_work import in_the_background
+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.imports.models import EvidenceOrigin, EvidenceRecord
@@ -894,16 +895,30 @@ class DurableWriteQueue:
         priority: str,
         connection: sqlite3.Connection,
     ) -> None:
-        """Append fresh-install input to an assembling queue row.
+        """Append input to its conversation's assembling queue row.
 
-        The row is not claimable until the scanner commits EOF and finalizes
-        it. No Evidence table is involved.
+        The row is not claimable. `finalize_sdk_file` turns what is complete
+        into write jobs (`turn_batches`) and keeps the rest here for the next
+        increment; `flush_idle_assemblies` writes a live row's rest once the
+        conversation has been quiet. `updated_at` moves only when a record is
+        new or revised, so a re-read does not keep a quiet conversation open.
+        No Evidence table is involved.
         """
         assembly_key = (
             f"assembly:{record.user_id}:{record.source_id}:"
             f"{hashlib.sha256(file_key.encode()).hexdigest()}:"
             f"{hashlib.sha256(record.conversation_id.encode()).hexdigest()}"
         )
+        session_key = internal_session_id_for(record.conversation_id, record.source_id)
+        written = connection.execute(
+            "SELECT 1 FROM memory_write_jobs AS job, json_each(job.evidence_ids_json) AS ref "
+            "WHERE job.session_key=? AND job.state!='assembling' AND ref.value=? LIMIT 1",
+            (session_key, record.evidence_id),
+        ).fetchone()
+        if written is not None:
+            # A re-read of a record a job already holds: staging it again
+            # would regroup it with later turns into a second job.
+            return
         row = connection.execute(
             "SELECT job_id,payload_json,priority FROM memory_write_jobs "
             "WHERE idempotency_key=? AND state='assembling'",
@@ -914,8 +929,20 @@ class DurableWriteQueue:
             payload = json.loads(str(row["payload_json"]))
             records = list(payload.get("input_records") or [])
         dumped = record.model_dump(mode="json")
-        if not any(item.get("evidence_id") == record.evidence_id for item in records):
+        index = next(
+            (
+                position
+                for position, item in enumerate(records)
+                if item.get("evidence_id") == record.evidence_id
+            ),
+            None,
+        )
+        changed = index is None or records[index] != dumped
+        if index is None:
             records.append(dumped)
+        elif changed:
+            # A revision replaces the carried copy in place.
+            records[index] = dumped
         now = datetime.now(UTC).isoformat()
         payload_json = json.dumps(
             {
@@ -926,15 +953,13 @@ class DurableWriteQueue:
             sort_keys=True,
         )
         if row is not None:
+            merged_priority = "live" if "live" in (row["priority"], priority) else "normal"
+            if not changed and merged_priority == row["priority"]:
+                return
             connection.execute(
-                "UPDATE memory_write_jobs SET payload_json=?,priority=?,updated_at=? "
-                "WHERE job_id=?",
-                (
-                    payload_json,
-                    "live" if row["priority"] == "live" or priority == "live" else "normal",
-                    now,
-                    str(row["job_id"]),
-                ),
+                "UPDATE memory_write_jobs SET payload_json=?,priority=?,"
+                "updated_at=CASE WHEN ? THEN ? ELSE updated_at END WHERE job_id=?",
+                (payload_json, merged_priority, int(changed), now, str(row["job_id"])),
             )
             return
         queue_seq = int(
@@ -952,7 +977,7 @@ class DurableWriteQueue:
             (
                 str(uuid4()),
                 queue_seq,
-                internal_session_id_for(record.conversation_id, record.source_id),
+                session_key,
                 record.source_id,
                 assembly_key,
                 assembly_key,
@@ -982,92 +1007,215 @@ class DurableWriteQueue:
         source_id: str,
         file_key: str,
         connection: sqlite3.Connection,
+        flush: bool = True,
     ) -> tuple[str, ...]:
+        """Write what one file's assembling rows hold that the turn rule completes.
+
+        `flush` (history at end of file) completes the last turn and writes a
+        short batch; without it (live polling) those stay in the row.
+        """
         rows = connection.execute(
             "SELECT * FROM memory_write_jobs WHERE state='assembling' "
             "AND source_key=? ORDER BY queue_seq",
             (source_id,),
         ).fetchall()
-        finalized = []
+        finalized: list[str] = []
         for row in rows:
             payload = json.loads(str(row["payload_json"]))
             if payload.get("file_key") != file_key:
                 continue
-            records = tuple(
-                EvidenceRecord.model_validate(item)
-                for item in payload.get("input_records") or []
-                if item.get("user_id") == user_id
+            finalized.extend(
+                self._write_assembled_turns(connection, row, user_id=user_id, flush=flush)
             )
-            if not records:
-                connection.execute(
-                    "DELETE FROM memory_write_jobs WHERE job_id=?",
-                    (str(row["job_id"]),),
+        return tuple(finalized)
+
+    def assemble_live_records(
+        self,
+        records: tuple[EvidenceRecord, ...],
+        *,
+        file_key: str,
+    ) -> tuple[str, ...]:
+        """Stage live records and write what is complete, in one transaction.
+
+        For live capture outside the import runner (host hooks): the same
+        assembling rows, turn rule and idle flush as live file polling.
+        """
+        if not records:
+            return ()
+        first = records[0]
+        with (
+            main_database(self.database_path).write(row_factory=sqlite3.Row) as connection,
+            connection,
+        ):
+            for record in records:
+                self.stage_sdk_input(
+                    record, file_key=file_key, priority="live", connection=connection
                 )
-                continue
-            first = records[0]
-            session_id = internal_session_id_for(
-                first.conversation_id,
-                first.source_id,
-            )
-            material = ":".join(f"{item.evidence_id}:{item.content_hash}" for item in records)
-            request_id = f"turn:v2:{hashlib.sha256(material.encode()).hexdigest()}"
-            existing = connection.execute(
-                "SELECT job_id FROM memory_write_jobs WHERE idempotency_key=? AND job_id!=?",
-                (request_id, str(row["job_id"])),
-            ).fetchone()
-            if existing is not None:
-                connection.execute(
-                    "DELETE FROM memory_write_jobs WHERE job_id=?",
-                    (str(row["job_id"]),),
-                )
-                finalized.append(str(existing["job_id"]))
-                continue
-            request = WriteRequest(
-                internal_session_id=session_id,
+            return self.finalize_sdk_file(
+                user_id=first.user_id,
                 source_id=first.source_id,
-                batch_identity=BatchIdentity(
-                    internal_session_id=session_id,
-                    first_round=1,
-                    last_round=1,
-                ),
-                evidence_ids=[item.evidence_id for item in records],
-                input_records=records,
-                idempotency_key=request_id,
-                priority="live" if str(row["priority"]) == "live" else "normal",
-                event_at=max(
-                    (item.created_at for item in records if item.created_at),
-                    default=first.imported_at,
-                ),
-                time_quality="exact" if any(item.created_at for item in records) else "approximate",
+                file_key=file_key,
+                connection=connection,
+                flush=False,
             )
+
+    def flush_idle_assemblies(self, *, now: datetime | None = None) -> tuple[str, ...]:
+        """Write the rest of every live conversation quiet for 10 minutes.
+
+        Its last turn counts as complete and a batch short of 5 turns is
+        written. History rows are left alone: their end of file flushes them.
+        """
+        current = now or datetime.now(UTC)
+        cutoff = (current - timedelta(seconds=TURN_IDLE_FLUSH_SECONDS)).isoformat()
+        query = (
+            "SELECT * FROM memory_write_jobs WHERE state='assembling' AND priority='live' "
+            "AND updated_at<=? ORDER BY queue_seq"
+        )
+        # A read first: most ticks find nothing and must not take the writer.
+        with main_database(self.database_path).read(row_factory=sqlite3.Row) as connection:
+            if connection.execute(query, (cutoff,)).fetchone() is None:
+                return ()
+        finalized: list[str] = []
+        with (
+            main_database(self.database_path).write(row_factory=sqlite3.Row) as connection,
+            connection,
+        ):
+            for row in connection.execute(query, (cutoff,)).fetchall():
+                finalized.extend(self._write_assembled_turns(connection, row, flush=True))
+        return tuple(finalized)
+
+    def _write_assembled_turns(
+        self,
+        connection: sqlite3.Connection,
+        row: sqlite3.Row,
+        *,
+        flush: bool,
+        user_id: str | None = None,
+    ) -> list[str]:
+        """Turn one assembling row's complete batches into jobs; keep the carry."""
+        payload = json.loads(str(row["payload_json"]))
+        records = tuple(
+            EvidenceRecord.model_validate(item)
+            for item in payload.get("input_records") or []
+            if user_id is None or item.get("user_id") == user_id
+        )
+        grouped = turn_batches(records, flush=flush)
+        priority: Literal["live", "normal"] = "live" if str(row["priority"]) == "live" else "normal"
+        job_ids = [
+            self._insert_turn_batch(connection, batch, priority=priority)
+            for batch in grouped.batches
+        ]
+        if not grouped.carry:
             connection.execute(
-                "UPDATE memory_write_jobs SET session_key=?,batch_id=?,"
-                "idempotency_key=?,payload_json=?,evidence_ids_json=?,state='pending',"
-                "event_at=?,time_quality=?,updated_at=? WHERE job_id=?",
+                "DELETE FROM memory_write_jobs WHERE job_id=?", (str(row["job_id"]),)
+            )
+        elif grouped.batches or len(grouped.carry) != len(records):
+            # `updated_at` stays: the idle clock counts new messages only.
+            connection.execute(
+                "UPDATE memory_write_jobs SET payload_json=? WHERE job_id=?",
                 (
-                    session_id,
-                    request.batch_identity.batch_id,
-                    request_id,
                     json.dumps(
-                        request.model_dump(
-                            mode="json",
-                            exclude={"event_at", "time_quality"},
-                        ),
+                        {
+                            **payload,
+                            "input_records": [
+                                record.model_dump(mode="json") for record in grouped.carry
+                            ],
+                        },
                         sort_keys=True,
                     ),
-                    json.dumps(list(request.evidence_ids)),
-                    (
-                        request.event_at.isoformat()
-                        if request.event_at
-                        else datetime.now(UTC).isoformat()
-                    ),
-                    request.time_quality,
-                    datetime.now(UTC).isoformat(),
                     str(row["job_id"]),
                 ),
             )
-            finalized.append(str(row["job_id"]))
-        return tuple(finalized)
+        return job_ids
+
+    def _insert_turn_batch(
+        self,
+        connection: sqlite3.Connection,
+        records: tuple[EvidenceRecord, ...],
+        *,
+        priority: Literal["live", "normal"],
+    ) -> str:
+        """One pending job for one batch of whole turns, keyed by its content.
+
+        Same records, same key: a re-read returns the job already written.
+        """
+        first = records[0]
+        session_id = internal_session_id_for(first.conversation_id, first.source_id)
+        material = ":".join(f"{item.evidence_id}:{item.content_hash}" for item in records)
+        request_id = f"turn:v2:{hashlib.sha256(material.encode()).hexdigest()}"
+        existing = connection.execute(
+            "SELECT job_id FROM memory_write_jobs WHERE idempotency_key=?",
+            (request_id,),
+        ).fetchone()
+        if existing is not None:
+            return str(existing["job_id"])
+        request = WriteRequest(
+            internal_session_id=session_id,
+            source_id=first.source_id,
+            batch_identity=BatchIdentity(
+                internal_session_id=session_id,
+                first_round=1,
+                last_round=1,
+            ),
+            evidence_ids=[item.evidence_id for item in records],
+            input_records=records,
+            idempotency_key=request_id,
+            priority=priority,
+        )
+        # The batch's time is its first user message's, as for every other job.
+        event_at, time_quality = self._event_time_for_request(request)
+        now = datetime.now(UTC)
+        job_id = str(uuid4())
+        queue_seq = int(
+            connection.execute(
+                "SELECT COALESCE(MAX(queue_seq),0)+1 FROM memory_write_jobs"
+            ).fetchone()[0]
+        )
+        event = event_at or now
+        if event.tzinfo is None:
+            event = event.replace(tzinfo=UTC)
+        connection.execute(
+            "INSERT INTO memory_write_jobs ("
+            "job_id,queue_seq,session_key,source_key,batch_id,idempotency_key,"
+            "payload_json,evidence_ids_json,state,priority,attempts,max_attempts,"
+            "lease_owner,lease_expires_at,hy_invoked,last_error,event_at,time_quality,"
+            "created_at,updated_at,sdk_raw_ids_json,sdk_memory_ids_json"
+            ") VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)",
+            (
+                job_id,
+                queue_seq,
+                session_id,
+                first.source_id,
+                request.batch_identity.batch_id,
+                request_id,
+                json.dumps(
+                    request.model_dump(mode="json", exclude={"event_at", "time_quality"}),
+                    sort_keys=True,
+                ),
+                json.dumps(list(request.evidence_ids)),
+                PENDING,
+                priority,
+                0,
+                3,
+                None,
+                None,
+                0,
+                None,
+                event.astimezone(UTC).isoformat(),
+                time_quality,
+                now.isoformat(),
+                now.isoformat(),
+                "[]",
+                "[]",
+            ),
+        )
+        if not self.sdk_authority:
+            # Legacy catch-up reads coverage from these references.
+            connection.executemany(
+                "INSERT INTO memory_write_job_evidence (job_id, evidence_id) VALUES (?,?)",
+                ((job_id, evidence_id) for evidence_id in request.evidence_ids),
+            )
+        return job_id
 
     def _freeze_request_inputs(self, request: WriteRequest) -> WriteRequest:
         if request.input_records or self.evidence is None:
@@ -2500,6 +2648,9 @@ class DurableWriteDrain:
         #: a model outage clears on its own, and a queue that never goes idle
         #: must still re-admit the write once the wait has elapsed.
         self._last_model_readmit: datetime | None = None
+        #: A live conversation quiet for 10 minutes has its last turn and short
+        #: batch written (`flush_idle_assemblies`); checked on the same timer.
+        self._last_assembly_flush: datetime | None = None
         #: Idle polls do not need to hit the single writer every 50ms. A
         #: 1m Evidence table makes a miss expensive enough that the tail
         #: call-event write can be behind it; back off only while idle and
@@ -3032,6 +3183,15 @@ class DurableWriteDrain:
                         self.queue.readmit_model_waiters,
                         operation_name="readmit_model_waiters",
                     )
+                if (
+                    self._last_assembly_flush is None
+                    or tick_started - self._last_assembly_flush >= self._reap_interval
+                ):
+                    self._last_assembly_flush = tick_started
+                    await self._run_idle_maintenance(
+                        self.queue.flush_idle_assemblies,
+                        operation_name="flush_idle_assemblies",
+                    )
                 if self.reconcile_unknown is not None and (
                     self._last_unknown_reconcile is None
                     or tick_started - self._last_unknown_reconcile

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

@@ -1136,20 +1136,31 @@ class ModelProfileStore:
         )
 
 
+def disable_thinking_params(
+    profile: ModelProfile | ModelProfileSnapshot,
+) -> dict[str, object]:
+    """Provider-specific thinking-off params, empty unless the profile opts in.
+
+    The one mapping for every request Core builds itself and for the SDK's
+    `llm.extra_body`, so a model that thinks on one path thinks on none.
+    """
+    if not profile.disable_thinking:
+        return {}
+    if profile.provider_kind is ProviderKind.OPENAI_COMPATIBLE:
+        if urlparse(profile.base_url or "").hostname == "api.deepseek.com":
+            return {"thinking": {"type": "disabled"}}
+        return {"reasoning_effort": "none"}
+    if profile.provider_kind is ProviderKind.OLLAMA:
+        return {"think": False}
+    return {}
+
+
 def attach_disable_thinking(
     profile: ModelProfile | ModelProfileSnapshot,
     payload: dict[str, object],
 ) -> dict[str, object]:
     """Attach provider-specific thinking-off params when the profile opts in."""
-    if not profile.disable_thinking:
-        return payload
-    if profile.provider_kind is ProviderKind.OPENAI_COMPATIBLE:
-        if urlparse(profile.base_url or "").hostname == "api.deepseek.com":
-            payload["thinking"] = {"type": "disabled"}
-        else:
-            payload["reasoning_effort"] = "none"
-    elif profile.provider_kind is ProviderKind.OLLAMA:
-        payload["think"] = False
+    payload.update(disable_thinking_params(profile))
     return payload
 
 

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

@@ -125,6 +125,31 @@ def describe_error(error: BaseException) -> dict[str, object]:
     return {"chain": chain}
 
 
+_PY_FRAME = re.compile(r"^[A-Za-z0-9_][A-Za-z0-9_.\-]*\.py:\d{1,7}:[A-Za-z_][A-Za-z0-9_]*$")
+
+
+def error_frames(error: BaseException, *, limit: int = 16) -> tuple[str, ...]:
+    """The raised error's innermost `file.py:line:function` frames, for a stack field.
+
+    Library frames are kept (a KeyError raised inside Chroma is located by
+    them); `<module>`-style names are dropped because stack fields refuse them.
+    """
+    chain = describe_error(error)["chain"]
+    frames = chain[0].get("frames", ()) if chain else ()  # type: ignore[index,union-attr]
+    return tuple(frame for frame in frames if _PY_FRAME.fullmatch(frame))[-limit:]
+
+
+def error_chain_text(error: BaseException) -> str:
+    """`describe_error` as one log token: `Type@file:line:function>...;Cause@...`.
+
+    For a plain text log (core.log). Types and frames only, never a message.
+    """
+    return ";".join(
+        f"{entry['type']}@{'>'.join(entry.get('frames', ()))}"  # type: ignore[arg-type]
+        for entry in describe_error(error)["chain"]  # type: ignore[union-attr]
+    )
+
+
 def _build() -> dict[str, object]:
     from one_memory import __version__
 

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

@@ -829,6 +829,7 @@ def run_startup_migration(
                 ignore_errors=True,
             )
         discard_failed_state(data_dir)
+        _repair_metadata_after_cutover(data_dir, database_path, log)
         progress("cleanup")
         with log.step("cleanup.drop_legacy_tables") as step:
             dropped = resume_legacy_cleanup(data_dir=data_dir, database_path=database_path)
@@ -847,6 +848,25 @@ def run_startup_migration(
     )
 
 
+def _repair_metadata_after_cutover(data_dir: Path, database_path: Path, log: _StepLog) -> None:
+    """Restore lost metadata here, where Runtime is stopped and no Chroma client is open.
+
+    Writes the repair receipt, so Core's startup fallback finds it and does
+    nothing. Authority is already committed: a failure is logged and left to
+    that fallback instead of failing the migration.
+    """
+    from one_memory.hy_sdk_migration import repair_sdk_metadata_from_bundle
+
+    try:
+        with log.step("cutover.metadata_repair") as step:
+            repair = repair_sdk_metadata_from_bundle(data_dir=data_dir, database_path=database_path)
+            step["mapped"] = repair.mapped
+            step["vector_rows"] = repair.vector_rows
+            step["coding_rows"] = repair.coding_rows
+    except Exception:
+        return
+
+
 def _restore_after_failure(
     *,
     data_dir: Path,

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

@@ -16,6 +16,7 @@ from one_memory.secrets import SecretStore, SecretStoreUnavailableError
 
 PRODUCT_AGENT_ID = "all-apps"
 _MESSAGE_ROLES = frozenset({"user", "assistant", "tool"})
+_CONVERSATION_ROLES = frozenset({"user", "assistant"})
 
 
 @dataclass(frozen=True)
@@ -41,12 +42,23 @@ class SdkWriteProcessor:
     ) -> SdkWriteReceipt:
         if not records:
             raise RuntimeError("hy_memory_task_without_inputs")
+        extracted = all(_is_extracted_content(record) for record in records)
+        if not extracted and not any(
+            record.content_kind is EvidenceContentKind.RAW_CONVERSATION
+            and record.role in _CONVERSATION_ROLES
+            for record in records
+        ):
+            # Nothing to remember: tool records alone. The SDK strips them on
+            # the chat path and answers 400 "content or messages is
+            # required", which used to settle the job as unknown. Completed
+            # with no memories, and the SDK is never called.
+            return SdkWriteReceipt()
 
         scope = _write_scope(records)
         metadata = _write_metadata(records, scope)
         client = await self._client_handle.client()
 
-        if all(_is_extracted_content(record) for record in records):
+        if extracted:
             contents = [sanitize_model_input(record.verbatim) for record in records]
             await before_hy_invocation()
             result = await asyncio.to_thread(

memhub/apps/core/tests/test_conversation_turn_grouping.py

@@ -1,90 +1,199 @@
-"""A proposal and the turn that adopts it must reach HY as one turn."""
+"""The turn rule: what a conversation's records become before they reach HY.
+
+A turn is one user message and everything up to the next one. Every 5
+complete turns are written together, sooner when the next turn would pass
+8000 characters; a short batch waits for the end of a history file or 10
+quiet minutes. No batch is written without a user message.
+"""
 
 from __future__ import annotations
 
 from datetime import UTC, datetime
 
-from one_memory.conversation_processing import _conversation_chunks
+from one_memory.conversation_processing import (
+    TURN_BATCH_CHARACTERS,
+    TURN_BATCH_TURNS,
+    conversation_turns,
+    turn_batches,
+)
 from one_memory.imports.models import EvidenceInput, EvidenceOrigin, OriginMetadata, WrittenBy
 from one_memory.imports.storage import EvidenceStore
 
+_WRITER = {"user": "person", "assistant": "agent", "tool": "tool"}
 
-def _records(tmp_path, *speakers: tuple[str, str, str]) -> list:
+
+def _records(tmp_path, *speakers: tuple[str, str]) -> list:
     store = EvidenceStore(tmp_path / "one-memory.sqlite3")
-    records = []
-    for index, (role, written_by, text) in enumerate(speakers):
-        records.append(
-            store.put(
-                EvidenceInput(
-                    source_id="cursor",
-                    conversation_id="conversation",
-                    message_id=f"m{index}",
-                    role=role,
-                    written_by=WrittenBy(written_by),
-                    verbatim=text,
-                    created_at=datetime.now(UTC),
-                    origin_meta={EvidenceOrigin.FILE: OriginMetadata()},
-                )
-            ).record
-        )
-    return records
-
-
-def test_an_unanswered_assistant_prefix_joins_the_turn_that_adopts_it(tmp_path) -> None:
-    """`assistant` proposal -> `user` explicit adoption is one turn, not two.
-
-    Splitting it sends HY an answer without what it answers, and loses the
-    authority pair the author/adoption quality gate depends on.
-    """
-    records = _records(
-        tmp_path,
-        ("assistant", "agent", "建议把超时改成 30 秒。"),
-        ("user", "person", "就这么做，超时改成 30 秒。"),
-    )
-
-    chunks = _conversation_chunks(records)
-
-    assert [[record.role for record in chunk] for chunk in chunks] == [["assistant", "user"]]
-
-
-def test_a_lone_user_message_does_not_become_a_model_input(tmp_path) -> None:
-    """A user message with no reply yet is Evidence, not a completed turn.
-
-    Concurrent-import fixtures write `user` then `assistant` pairs, but a lone
-    user message must not create an HY task: that is the complete-turn rule,
-    not a queue stall.
-    """
-    records = _records(tmp_path, ("user", "person", "把超时改成 30 秒。"))
-
-    assert _conversation_chunks(records, completed_only=True) == []
-
-
-def test_only_the_unanswered_trailing_turn_is_held_back(tmp_path) -> None:
-    """Earlier complete turns stay eligible while the open tail waits."""
-    records = _records(
-        tmp_path,
-        ("user", "person", "先把超时改成 30 秒。"),
-        ("assistant", "agent", "已经改好了。"),
-        ("user", "person", "接着把发布包传上去。"),
-    )
-
-    assert _conversation_chunks(records, completed_only=True) == [(records[0], records[1])]
-
-
-def test_the_complete_turn_contract_used_for_concurrent_import_reds(tmp_path) -> None:
-    """Node-id level answer for `[BLOCK C2 -> C1]` concurrent-import reds.
-
-    Those fixtures write `user` turns and never emit the closing
-    `assistant`/tool event, so under the complete-turn rule no HY task is
-    created inside the 5s window. That is the contract, not a queue stall:
-    Evidence is still committed and searchable, and the task appears once the
-    closing event arrives.
-    """
-    closed = _records(
-        tmp_path,
-        ("user", "person", "把超时改成 30 秒。"),
-        ("assistant", "agent", "已改为 30 秒。"),
-    )
-    assert [[record.role for record in chunk] for chunk in _conversation_chunks(closed)] == [
-        ["user", "assistant"]
+    return [
+        store.put(
+            EvidenceInput(
+                source_id="cursor",
+                conversation_id="conversation",
+                message_id=f"m{index}",
+                role=role,
+                written_by=WrittenBy(_WRITER[role]),
+                verbatim=text,
+                created_at=datetime.now(UTC),
+                origin_meta={EvidenceOrigin.FILE: OriginMetadata()},
+            )
+        ).record
+        for index, (role, text) in enumerate(speakers)
     ]
+
+
+def _turns(count: int, *, answer: str = "好的。") -> list[tuple[str, str]]:
+    return [
+        part
+        for index in range(count)
+        for part in (("user", f"第 {index} 个问题"), ("assistant", answer))
+    ]
+
+
+def _roles(batches) -> list[list[str]]:
+    return [[record.role for record in batch] for batch in batches]
+
+
+def test_rule_constants_are_the_product_rule() -> None:
+    assert (TURN_BATCH_TURNS, TURN_BATCH_CHARACTERS) == (5, 8_000)
+
+
+def test_a_turn_runs_from_one_user_message_to_the_next(tmp_path) -> None:
+    records = _records(
+        tmp_path,
+        ("user", "跑一下测试"),
+        ("assistant", "好"),
+        ("tool", "3 passed"),
+        ("assistant", "都通过了"),
+        ("user", "提交吧"),
+        ("assistant", "已提交"),
+    )
+
+    assert [len(turn) for turn in conversation_turns(records)] == [4, 2]
+
+
+def test_records_before_the_first_user_message_join_the_first_turn(tmp_path) -> None:
+    """An assistant proposal and the user turn adopting it reach HY together."""
+    records = _records(
+        tmp_path,
+        ("assistant", "建议把超时改成 30 秒。"),
+        ("user", "就这么做，超时改成 30 秒。"),
+        ("assistant", "改好了。"),
+        ("user", "再把重试改成 3 次。"),
+        ("assistant", "也改好了。"),
+    )
+
+    assert _roles(conversation_turns(records)) == [
+        ["assistant", "user", "assistant"],
+        ["user", "assistant"],
+    ]
+
+
+def test_five_complete_turns_are_one_batch_and_the_open_turn_waits(tmp_path) -> None:
+    records = _records(tmp_path, *_turns(6))
+
+    grouped = turn_batches(records, flush=False)
+
+    assert [len(batch) for batch in grouped.batches] == [10]
+    assert grouped.batches[0] == tuple(records[:10])
+    assert grouped.carry == tuple(records[10:])
+
+
+def test_complete_turns_short_of_five_wait_for_flush(tmp_path) -> None:
+    records = _records(tmp_path, *_turns(3))
+
+    waiting = turn_batches(records, flush=False)
+    assert waiting.batches == ()
+    assert waiting.carry == tuple(records)
+
+    flushed = turn_batches(records, flush=True)
+    assert flushed.batches == (tuple(records),)
+    assert flushed.carry == ()
+
+
+def test_a_lone_user_message_is_not_written_until_flush(tmp_path) -> None:
+    records = _records(tmp_path, ("user", "把超时改成 30 秒。"))
+
+    assert turn_batches(records, flush=False).batches == ()
+    assert turn_batches(records, flush=True).batches == (tuple(records),)
+
+
+def test_the_turn_that_would_pass_8000_characters_starts_the_next_batch(tmp_path) -> None:
+    answer = "句" * 3_000
+    records = _records(tmp_path, *_turns(4, answer=answer))
+
+    grouped = turn_batches(records, flush=False)
+
+    # Turns 1+2 fit; turn 3 would pass 8000, so 1+2 are written now. Turn 3
+    # is complete but alone, and turn 4 is still open.
+    assert grouped.batches == (tuple(records[:4]),)
+    assert grouped.carry == tuple(records[4:])
+    assert sum(len(record.verbatim) for record in grouped.batches[0]) <= TURN_BATCH_CHARACTERS
+
+
+def test_one_turn_over_8000_characters_is_a_batch_of_its_own_and_not_split(tmp_path) -> None:
+    records = _records(
+        tmp_path,
+        ("user", "先问个小问题"),
+        ("assistant", "好"),
+        ("user", "写一份方案"),
+        ("assistant", "段落。" * 7_000),
+        ("user", "谢谢"),
+    )
+
+    grouped = turn_batches(records, flush=False)
+
+    assert grouped.batches == (tuple(records[:2]), tuple(records[2:4]))
+    assert grouped.carry == (records[4],)
+    assert all(":segment:" not in record.evidence_id for record in grouped.batches[1])
+
+
+def test_tool_output_counts_only_what_hy_reads(tmp_path) -> None:
+    """A tool record counts up to `_HY_TOOL_CHARACTERS`, not its full text."""
+    from one_memory.conversation_processing import _HY_TOOL_CHARACTERS
+
+    parts = [
+        part
+        for index in range(5)
+        for part in (("user", f"第 {index} 步"), ("tool", "x" * 50_000), ("assistant", "完成"))
+    ]
+    records = _records(tmp_path, *parts, ("user", "下一步"))
+
+    grouped = turn_batches(records, flush=False)
+
+    assert _HY_TOOL_CHARACTERS == 512
+    assert [len(batch) for batch in grouped.batches] == [15]
+
+
+def test_records_with_no_user_message_are_never_a_batch(tmp_path) -> None:
+    """The SDK strips tool records on the chat path and refuses what is left.
+
+    A tool-only batch came back 400 "content or messages is required" and
+    was recorded unknown, 16 times. Carried until a user message arrives;
+    dropped when the conversation is flushed without one.
+    """
+    records = _records(tmp_path, ("tool", "ls output"), ("assistant", "看完了"))
+
+    waiting = turn_batches(records, flush=False)
+    assert waiting.batches == ()
+    assert waiting.carry == tuple(records)
+    assert turn_batches(records, flush=True) == turn_batches((), flush=True)
+
+    later = _records(tmp_path, ("user", "那就开始吧"), ("assistant", "开始"))
+    joined = turn_batches((*waiting.carry, *later), flush=True)
+    assert _roles(joined.batches) == [["tool", "assistant", "user", "assistant"]]
+
+
+def test_every_batch_holds_a_user_message(tmp_path) -> None:
+    records = _records(
+        tmp_path,
+        ("tool", "前置输出"),
+        *_turns(7, answer="答" * 2_500),
+        ("tool", "尾部输出"),
+    )
+
+    for flush in (False, True):
+        grouped = turn_batches(records, flush=flush)
+        assert grouped.batches
+        assert all(any(record.role == "user" for record in batch) for batch in grouped.batches)
+        written = [record for batch in grouped.batches for record in batch]
+        assert written + list(grouped.carry) == records

memhub/apps/core/tests/test_core_ready_before_recovery.py

@@ -142,3 +142,112 @@ def test_shutdown_during_recovery_stops_it_without_starting_more(tmp_path, monke
             release.set()
 
     asyncio.run(scenario())
+
+
+def test_metadata_repair_never_overlaps_an_sdk_client(tmp_path, monkeypatch):
+    """The repair's own Chroma client dropped the SDK's shared System (KeyError).
+
+    The first library request opened the SDK client while the repair ran
+    after readiness. Now every SDK client of the home waits for the repair.
+    """
+    from one_memory import hy_sdk_runtime
+    from one_memory.hy_sdk_runtime import ClientLease
+
+    release = threading.Event()
+    entered = threading.Event()
+    events: list[str] = []
+
+    def slow_repair(**_):
+        entered.set()
+        events.append("repair_started")
+        release.wait(10)
+        events.append("repair_finished")
+        return MetadataRepairResult(None, 0, 0, 0)
+
+    def open_client(profile, *, api_key, data_dir, http_transport_factory):
+        events.append("client_opened")
+        return ClientLease(object(), data_dir.resolve())
+
+    monkeypatch.setattr(hy_sdk_migration, "repair_sdk_metadata_from_bundle", slow_repair)
+    monkeypatch.setattr(hy_sdk_runtime, "_acquire_client", open_client)
+    monkeypatch.setattr(ClientLease, "close", lambda self: None)
+
+    async def scenario():
+        app = application(tmp_path)
+        try:
+            async with app.router.lifespan_context(app), client_for(app) as client:
+                assert await asyncio.to_thread(entered.wait, 5)
+                handle = hy_sdk_runtime.SdkClientHandle(
+                    profile=hy_sdk_runtime.builtin_retrieval_snapshot(),
+                    api_key=None,
+                    data_dir=app.state.settings.data_dir,
+                )
+                opening = asyncio.create_task(handle.client())
+                await asyncio.sleep(0.2)
+                # Readiness and reads answer; the SDK client waits.
+                assert (await health(client))["status"] == "ok"
+                assert not opening.done()
+                release.set()
+                await asyncio.wait_for(opening, 5)
+                await wait_for_recovery(client)
+        finally:
+            release.set()
+
+    asyncio.run(scenario())
+    assert events == ["repair_started", "repair_finished", "client_opened"]
+
+
+def test_stores_are_not_held_beside_an_open_sdk_client(tmp_path):
+    from one_memory import hy_sdk_runtime
+
+    key = tmp_path.resolve()
+    with hy_sdk_runtime._STORE_GATE:
+        hy_sdk_runtime._OPENING[key] = 1
+    try:
+        assert hy_sdk_runtime.hold_stores_offline(tmp_path) is False
+    finally:
+        with hy_sdk_runtime._STORE_GATE:
+            del hy_sdk_runtime._OPENING[key]
+    assert hy_sdk_runtime.hold_stores_offline(tmp_path) is True
+    assert hy_sdk_runtime.hold_stores_offline(tmp_path) is False
+    hy_sdk_runtime.release_stores(tmp_path)
+    hy_sdk_runtime.release_stores(tmp_path)
+    assert hy_sdk_runtime.hold_stores_offline(tmp_path) is True
+    hy_sdk_runtime.release_stores(tmp_path)
+
+
+def test_a_failed_recovery_step_records_where_it_failed(tmp_path, monkeypatch, caplog):
+    """`error_type=KeyError` alone named no location; frames, never the message."""
+    from one_memory import api
+
+    def lookup(systems):
+        return systems["private-identifier"]
+
+    def broken_repair(**_):
+        return lookup({})
+
+    events: list[dict] = []
+    monkeypatch.setattr(hy_sdk_migration, "repair_sdk_metadata_from_bundle", broken_repair)
+    monkeypatch.setattr(api, "diagnostic_event", lambda **values: events.append(values))
+
+    async def scenario():
+        app = application(tmp_path)
+        async with app.router.lifespan_context(app), client_for(app) as client:
+            await wait_for_recovery(client)
+
+    with caplog.at_level("WARNING"):
+        asyncio.run(scenario())
+
+    [line] = [
+        record.getMessage()
+        for record in caplog.records
+        if "core_recovery_step_failed" in record.getMessage()
+    ]
+    assert "step=sdk_metadata_repair error_type=KeyError chain=KeyError@" in line
+    assert "test_core_ready_before_recovery.py:" in line and ":lookup" in line
+    assert "private-identifier" not in line
+    [failed] = [event for event in events if event.get("event") == "core.recovery_step_failed"]
+    assert failed["error_type"] == "KeyError"
+    assert failed["safe_stack"][-1].startswith("test_core_ready_before_recovery.py:")
+    assert failed["safe_stack"][-1].endswith(":lookup")
+    assert "private-identifier" not in repr(failed)

memhub/apps/core/tests/test_disable_thinking.py

@@ -8,6 +8,7 @@ import json
 import httpx
 from pydantic import SecretStr
 
+from one_memory.hy_sdk_runtime import build_sdk_config
 from one_memory.imports.models import (
     EvidenceInput,
     EvidenceOrigin,
@@ -17,6 +18,7 @@ from one_memory.imports.models import (
 from one_memory.imports.storage import EvidenceStore
 from one_memory.memory_batch_extraction import MemoryBatchExtractor
 from one_memory.memory_qa import _answer_request
+from one_memory.model_probe import _structured_request
 from one_memory.model_profiles import (
     ModelProfileInput,
     ModelProfileStore,
@@ -243,3 +245,94 @@ def test_ollama_batch_sends_think_false_only_when_disabled(tmp_path) -> None:
     )
     assert payloads[0]["think"] is False
     assert "reasoning_effort" not in payloads[0]
+
+
+def _deepseek(store, secrets, *, disable_thinking: bool):
+    return store.create(
+        ModelProfileInput(
+            name=f"deepseek-{disable_thinking}",
+            provider_kind=ProviderKind.OPENAI_COMPATIBLE,
+            base_url="https://api.deepseek.com/v1",
+            model="deepseek-v4-flash",
+            api_key=SecretStr("sk-test"),
+            embedding_model="embedding-model",
+            embedding_provider_kind=ProviderKind.LOCAL_ONNX,
+            disable_thinking=disable_thinking,
+        ),
+        secrets,
+    )
+
+
+def test_sdk_config_turns_deepseek_thinking_off_like_the_probe(tmp_path) -> None:
+    """DeepSeek Flash spent the SDK's 2000 agent tokens thinking: EMPTY_RESPONSE.
+
+    The SDK sends `llm.extra_body` on every chat call (chat and the shared
+    coding/working provider), and the probe must ask the model the same way.
+    """
+    database = tmp_path / "one-memory.sqlite3"
+    secrets = InMemorySecretStore()
+    store = ModelProfileStore(database)
+    profile = _deepseek(store, secrets, disable_thinking=True)
+    snapshot = store.snapshot(profile.profile_id, profile.revision)
+
+    config = build_sdk_config(snapshot, api_key="sk-test", data_dir=tmp_path / "data")
+
+    assert config.llm.extra_body == {"thinking": {"type": "disabled"}}
+    _m, _u, _h, probe = _structured_request(profile, "sk-test")
+    assert probe["thinking"] == config.llm.extra_body["thinking"]
+    assert "reasoning_effort" not in probe
+
+
+def test_sdk_config_sends_no_thinking_fields_unless_the_profile_opts_in(tmp_path) -> None:
+    database = tmp_path / "one-memory.sqlite3"
+    secrets = InMemorySecretStore()
+    store = ModelProfileStore(database)
+    profile = _deepseek(store, secrets, disable_thinking=False)
+    snapshot = store.snapshot(profile.profile_id, profile.revision)
+
+    config = build_sdk_config(snapshot, api_key="sk-test", data_dir=tmp_path / "data")
+
+    assert not config.llm.extra_body
+
+
+def test_sdk_config_maps_other_providers_through_the_same_table(tmp_path) -> None:
+    database = tmp_path / "one-memory.sqlite3"
+    secrets = InMemorySecretStore()
+    store = ModelProfileStore(database)
+    openai = store.create(
+        ModelProfileInput(
+            name="openai",
+            provider_kind=ProviderKind.OPENAI_COMPATIBLE,
+            base_url="https://api.example.com/v1",
+            model="gpt-test",
+            api_key=SecretStr("sk-test"),
+            embedding_model="embedding-model",
+            embedding_provider_kind=ProviderKind.LOCAL_ONNX,
+        ),
+        secrets,
+    )
+    ollama = store.create(
+        ModelProfileInput(
+            name="ollama",
+            provider_kind=ProviderKind.OLLAMA,
+            base_url="http://127.0.0.1:11434",
+            model="qwen",
+            embedding_model="embedding-model",
+            embedding_provider_kind=ProviderKind.LOCAL_ONNX,
+        ),
+        secrets,
+    )
+
+    openai_config = build_sdk_config(
+        store.snapshot(openai.profile_id, openai.revision),
+        api_key="sk-test",
+        data_dir=tmp_path / "data",
+    )
+    ollama_config = build_sdk_config(
+        store.snapshot(ollama.profile_id, ollama.revision),
+        api_key=None,
+        data_dir=tmp_path / "data",
+    )
+
+    assert openai_config.llm.extra_body == {"reasoning_effort": "none"}
+    assert ollama_config.llm.extra_body == {"think": False}

memhub/apps/core/tests/test_import_runner.py

@@ -773,3 +773,131 @@ def test_cancel_during_callback_keeps_a_replayable_pending_marker(tmp_path) -> N
 
     assert evidence_store.count() == 1
     assert len(_pending_markers(evidence_store.database_path)) == 1
+
+
+def said(message_id: str, role: str, text: str) -> EvidenceInput:
+    writer = {"user": WrittenBy.PERSON, "assistant": WrittenBy.AGENT, "tool": WrittenBy.TOOL}
+    return evidence(message_id).model_copy(
+        update={"role": role, "written_by": writer[role], "verbatim": text}
+    )
+
+
+def _sdk_runner(tmp_path):
+    database = tmp_path / "one-memory.sqlite3"
+    bootstrap_fresh_management_schema(database)
+    job_store = ImportJobStore(database)
+    queue = DurableWriteQueue(database, sdk_authority=True)
+    runner = ImportRunner(
+        evidence_store=RetiredEvidenceStore(database),  # type: ignore[arg-type]
+        job_store=job_store,
+        sdk_queue=queue,
+        sdk_authority=lambda: True,
+    )
+    return database, job_store, queue, runner
+
+
+def _read(runner, job_store, parts, *, operation: str, first_line: int = 1):
+    events: list[ScanEvent] = [
+        ScannedEvidence(evidence=part, cursor=cursor(f"line:{first_line + index}"))
+        for index, part in enumerate(parts)
+    ]
+    last = f"line:{first_line + len(parts) - 1}"
+    events.append(ScanCursorTouch(cursor=cursor(last).model_copy(update={"read_to_end": True})))
+    job = job_store.create(user_id="local", source_id="fixture", operation=operation)
+    asyncio.run(runner.run(adapter=FixtureAdapter(events), job_id=job.job_id))
+
+
+def _jobs(database) -> list[tuple[str, list[str]]]:
+    import json
+
+    with sqlite3.connect(database) as connection:
+        rows = connection.execute(
+            "SELECT state,payload_json FROM memory_write_jobs ORDER BY queue_seq"
+        ).fetchall()
+    return [
+        (state, [item["role"] for item in json.loads(payload)["input_records"]])
+        for state, payload in rows
+    ]
+
+
+def _turns(count: int, *, start: int = 0) -> list[EvidenceInput]:
+    return [
+        said(f"{role[0]}{index}", role, f"{role} {index}")
+        for index in range(start, start + count)
+        for role in ("user", "assistant")
+    ]
+
+
+def test_history_import_writes_five_turn_batches_and_flushes_the_rest_at_eof(tmp_path):
+    """A first import used to be one giant job per conversation."""
+    database, job_store, _queue, runner = _sdk_runner(tmp_path)
+
+    _read(runner, job_store, _turns(7), operation="history")
+
+    assert _jobs(database) == [
+        ("pending", ["user", "assistant"] * 5),
+        ("pending", ["user", "assistant"] * 2),
+    ]
+
+
+def test_live_polling_carries_an_open_turn_and_a_tool_only_increment(tmp_path):
+    """A transcript read mid-turn used to give tool-only jobs (16 unknown)."""
+    database, job_store, queue, runner = _sdk_runner(tmp_path)
+
+    _read(runner, job_store, _turns(2), operation="sync")
+    assert _jobs(database) == [("assembling", ["user", "assistant"] * 2)]
+
+    tools = [said("t1", "tool", "ls"), said("t2", "tool", "3 passed")]
+    _read(runner, job_store, tools, operation="sync", first_line=5)
+    assert _jobs(database) == [
+        ("assembling", ["user", "assistant", "user", "assistant", "tool", "tool"])
+    ]
+
+    # Ten quiet minutes: the open turn is complete and the short batch goes.
+    assert queue.flush_idle_assemblies(now=datetime.now(UTC) + timedelta(minutes=9)) == ()
+    flushed = queue.flush_idle_assemblies(now=datetime.now(UTC) + timedelta(minutes=11))
+    assert len(flushed) == 1
+    assert _jobs(database) == [
+        ("pending", ["user", "assistant", "user", "assistant", "tool", "tool"])
+    ]
+
+
+def test_live_polling_writes_five_complete_turns_and_keeps_the_open_one(tmp_path):
+    database, job_store, queue, runner = _sdk_runner(tmp_path)
+
+    _read(runner, job_store, _turns(5), operation="sync")
+    assert [state for state, _ in _jobs(database)] == ["assembling"]
+
+    _read(runner, job_store, [said("u5", "user", "user 5")], operation="sync", first_line=11)
+    assert _jobs(database) == [
+        ("assembling", ["user"]),
+        ("pending", ["user", "assistant"] * 5),
+    ]
+
+
+def test_a_reread_increment_creates_no_second_job(tmp_path):
+    database, job_store, queue, runner = _sdk_runner(tmp_path)
+
+    _read(runner, job_store, _turns(6), operation="sync")
+    _read(runner, job_store, _turns(6), operation="sync")
+    queue.flush_idle_assemblies(now=datetime.now(UTC) + timedelta(minutes=11))
+    _read(runner, job_store, _turns(6), operation="sync")
+    queue.flush_idle_assemblies(now=datetime.now(UTC) + timedelta(minutes=11))
+
+    assert _jobs(database) == [
+        ("pending", ["user", "assistant"] * 5),
+        ("pending", ["user", "assistant"]),
+    ]
+
+
+def test_history_records_with_no_user_message_are_dropped_at_eof(tmp_path):
+    database, job_store, _queue, runner = _sdk_runner(tmp_path)
+
+    _read(
+        runner,
+        job_store,
+        [said("t1", "tool", "ls"), said("a1", "assistant", "ok")],
+        operation="history",
+    )
+
+    assert _jobs(database) == []

memhub/apps/core/tests/test_live_capture.py

@@ -5,6 +5,7 @@ import json
 import os
 import sqlite3
 from contextlib import closing
+from datetime import UTC, datetime, timedelta
 from io import StringIO
 from pathlib import Path
 
@@ -107,7 +108,15 @@ def test_same_message_id_from_the_file_does_not_duplicate(tmp_path) -> None:
     assert store.count() == 1
 
 
+def _quiet_for_ten_minutes(database: Path, store: EvidenceStore) -> tuple[str, ...]:
+    """What Core's drain does once a live conversation has been quiet."""
+    return DurableWriteQueue(database, evidence=store).flush_idle_assemblies(
+        now=datetime.now(UTC) + timedelta(minutes=11)
+    )
+
+
 def test_hook_submits_complete_turn_to_the_live_durable_lane(tmp_path) -> None:
+    """The turn rule holds the turn until the next user message or 10 quiet minutes."""
     store = _grant(tmp_path, "workbuddy", sync=True)
     database = tmp_path / "one-memory.sqlite3"
 
@@ -132,10 +141,13 @@ def test_hook_submits_complete_turn_to_the_live_durable_lane(tmp_path) -> None:
         database,
     )
 
+    with closing(sqlite3.connect(database)) as db:
+        assert db.execute("SELECT state FROM memory_write_jobs").fetchall() == [("assembling",)]
+    assert len(_quiet_for_ten_minutes(database, store)) == 1
     with closing(sqlite3.connect(database)) as db:
         row = db.execute(
             "SELECT priority,evidence_ids_json FROM memory_write_jobs "
-            "WHERE idempotency_key LIKE 'turn:v1:%'"
+            "WHERE idempotency_key LIKE 'turn:v2:%'"
         ).fetchone()
     assert row[0] == "live"
     assert len(json.loads(row[1])) == 2
@@ -161,6 +173,41 @@ def test_hook_submits_complete_turn_to_the_live_durable_lane(tmp_path) -> None:
         assert db.execute("SELECT COUNT(*) FROM evidence").fetchone() == (2,)
 
 
+def test_hook_writes_five_turns_once_the_next_user_message_arrives(tmp_path) -> None:
+    store = _grant(tmp_path, "workbuddy", sync=True)
+    database = tmp_path / "one-memory.sqlite3"
+
+    def say(event: str, field: str, message_id: str, text: str) -> None:
+        assert capture_hook(
+            "workbuddy",
+            {
+                "hook_event_name": event,
+                "session_id": "sess-five",
+                "message_id": message_id,
+                field: text,
+            },
+            database,
+        )
+
+    for index in range(5):
+        say("UserPromptSubmit", "prompt", f"u{index}", f"第 {index} 个偏好")
+        say("Stop", "last_assistant_message", f"a{index}", f"记住第 {index} 个")
+    with closing(sqlite3.connect(database)) as db:
+        assert db.execute("SELECT state FROM memory_write_jobs").fetchall() == [("assembling",)]
+
+    say("UserPromptSubmit", "prompt", "u5", "第 5 个偏好")
+
+    with closing(sqlite3.connect(database)) as db:
+        rows = db.execute(
+            "SELECT state,evidence_ids_json FROM memory_write_jobs ORDER BY queue_seq"
+        ).fetchall()
+    assert [(state, len(json.loads(ids))) for state, ids in rows] == [
+        ("assembling", 0),
+        ("pending", 10),
+    ]
+    assert store.count() == 11
+
+
 def test_file_adopts_the_hook_row_when_the_text_is_unique(tmp_path) -> None:
     store = _grant(tmp_path, "workbuddy", sync=True)
     database = tmp_path / "one-memory.sqlite3"
@@ -211,6 +258,7 @@ def test_hook_job_completes_after_file_identity_adoption(tmp_path) -> None:
         },
         database,
     )
+    assert len(_quiet_for_ten_minutes(database, store)) == 1
     for message_id, role, author, text in (
         ("file-user", "user", WrittenBy.PERSON, "我喜欢蓝莓"),
         ("file-assistant", "assistant", WrittenBy.AGENT, "我会记住你喜欢蓝莓"),

memhub/apps/core/tests/test_memory_additions.py

@@ -166,6 +166,57 @@ def test_revoked_manual_source_is_not_silently_reauthorized(tmp_path):
     asyncio.run(scenario())
 
 
+@pytest.mark.fresh_sdk
+def test_sdk_manual_add_without_a_grant_row_is_claimed(tmp_path, monkeypatch):
+    """The SDK add path writes no grant row; the claim gate used to require one.
+
+    The intake admitted the job, the drain skipped it on every tick, and the
+    note stayed Pending with attempts=0 while later jobs ran. A missing grant
+    row is allowed; only an explicit revocation holds the job.
+    """
+
+    async def scenario():
+        app = application(tmp_path)
+        async with app.router.lifespan_context(app), client_for(app) as client:
+            addition = {"request_id": str(uuid4()), "text": "Remember this.", "scope": "all-apps"}
+            assert (await client.post("/api/v2/memories", json=addition)).status_code == 201
+            database = app.state.settings.data_dir / "one-memory.sqlite3"
+            with sqlite3.connect(database) as db:
+                assert (
+                    db.execute(
+                        "SELECT COUNT(*) FROM source_grants WHERE source_id='one-memory-manual'"
+                    ).fetchone()[0]
+                    == 0
+                )
+                request_id = db.execute("SELECT request_id FROM memory_note_requests").fetchone()[0]
+            job = app.state.memory_write_queue.get(request_id)
+            assert job is not None and job.state == "pending"
+            monkeypatch.setattr(
+                app.state.model_profile_store, "active_identity", lambda: ("profile", 1)
+            )
+
+            assert app.state.memory_write_drain.claim(limit=1) == (job.job_id,)
+
+            # An explicit revocation still holds the job and refuses new adds.
+            app.state.memory_write_queue.settle(job.job_id, state="pending", owner=None)
+            with sqlite3.connect(database) as db:
+                db.execute(
+                    "INSERT INTO source_grants (user_id,source_id,root_path,requested_path,"
+                    "root_identity,candidate_kind,granted_at,revoked_at,revision) VALUES "
+                    "('local','one-memory-manual','x','x','manual','default',"
+                    "'2026-10-01T00:00:00+00:00','2026-10-27T00:00:00+00:00',1)"
+                )
+            assert app.state.memory_write_drain.claim(limit=1) == ()
+            refused = await client.post(
+                "/api/v2/memories",
+                json={**addition, "request_id": str(uuid4())},
+            )
+            assert refused.status_code == 409
+            assert refused.json()["detail"] == "memory_add_source_revoked"
+
+    asyncio.run(scenario())
+
+
 @pytest.mark.fresh_sdk
 def test_sdk_memory_write_accepts_openai_messages_without_evidence_tables(tmp_path):
     async def scenario():

memhub/apps/core/tests/test_memory_library_all_scenes.py

@@ -55,6 +55,9 @@ def chat_row(memory_id, content, *, source="cursor"):
     }
 
 
+EXPERIENCE_MEMORY_AT = 1_789_990_000
+
+
 def experience_row(memory_id, task, solution, *, variant="working", source="codebuddy"):
     return {
         "experience_id": memory_id,
@@ -63,6 +66,8 @@ def experience_row(memory_id, task, solution, *, variant="working", source="code
         "task": task,
         "solution": solution,
         "source": source,
+        # Conversation time, epoch seconds like chat (hy-memory 2.0.7).
+        "memory_at": EXPERIENCE_MEMORY_AT,
         "created_at": "2026-10-01T08:00:00",
         "updated_at": "2026-10-02T08:00:00",
         "_variant": variant,
@@ -90,6 +95,7 @@ class FakeSdk:
         self.productivity = {}
         self.search_calls = []
         self.list_calls = []
+        self.stats_calls = []
         self.get_calls = []
         self.update_calls = []
         self.delete_calls = []
@@ -227,6 +233,22 @@ class FakeSdk:
             "elapsed_ms": 1.0,
         }
 
+    def memory_stats(self, *, user_id, statuses=None):
+        self.stats_calls.append({"user_id": user_id, "statuses": statuses})
+        experiences = [
+            variant for (kind, variant, _id) in self.productivity if kind == "experience"
+        ]
+        facts = [variant for (kind, variant, _id) in self.productivity if kind == "fact"]
+        scenes = {"chat": {"count": len(self.chat)}}
+        for variant in ("coding", "working"):
+            scenes[variant] = {"count": experiences.count(variant), "facts": facts.count(variant)}
+        return {
+            "total": len(self.chat) + len(experiences),
+            "scenes": scenes,
+            "request_id": "stats",
+            "elapsed_ms": 1.0,
+        }
+
     def get(self, memory_id, kind=None, variant=None):
         self.get_calls.append((memory_id, kind, variant))
         match = self._matches(memory_id, kind, variant)
@@ -429,6 +451,7 @@ def test_keyword_filter_reads_experience_and_fact_text(tmp_path, monkeypatch):
         assert experience["content"] == "Fix flaky tests\nPin the pytest seed"
         assert experience["status"] == "active"
         assert experience["updated_at"] > experience["created_at"]
+        assert experience["memory_at"] == EXPERIENCE_MEMORY_AT
         fact = by_id["fact-1"]
         assert (fact["scene"], fact["kind"], fact["variant"]) == ("coding", "fact", "coding")
         assert fact["content"] == "The pytest suite runs in CI"
@@ -471,6 +494,10 @@ def test_empty_query_lists_all_scenes_with_source_filter_and_totals(tmp_path, mo
             "chat",
             "chat",
         ]
+        assert [item["memory_at"] for item in body["memories"][:2]] == [
+            EXPERIENCE_MEMORY_AT,
+            EXPERIENCE_MEMORY_AT,
+        ]
         call = sdk.list_calls[0]
         assert call["scene"] == "all"
         assert call["include_sources"] is None
@@ -510,6 +537,7 @@ def test_detail_edit_delete_pass_kind_and_variant(tmp_path, monkeypatch):
         assert record["task"] == "Old task"
         assert record["solution"] == "Old solution"
         assert record["content"] == "Old task\nOld solution"
+        assert record["memory_at"] == EXPERIENCE_MEMORY_AT
         assert sdk.get_calls[-1] == ("exp-1", "experience", "working")
 
         # Chat detail with no namespace keeps the plain SDK call.
@@ -647,3 +675,34 @@ def test_scene_filter_narrows_search_and_binds_the_window(tmp_path, monkeypatch)
         assert len(sdk.search_calls) == 2
 
     run_with_sdk(tmp_path, monkeypatch, scenario)
+
+
+@pytest.mark.fresh_sdk
+def test_home_summary_counts_what_the_memory_page_lists(tmp_path, monkeypatch):
+    """Home showed 55 (chat only) while the memory page showed 94."""
+
+    async def scenario(app, sdk, client):
+        sdk.add_chat(chat_row("chat-1", "cursor chat"))
+        sdk.add_chat(chat_row("chat-2", "codebuddy chat", source="codebuddy"))
+        sdk.add_productivity("experience", experience_row("exp-w", "task w", "solution w"))
+        sdk.add_productivity(
+            "experience", experience_row("exp-c", "task c", "solution c", variant="coding")
+        )
+        # Facts are not listed on the memory page, so they are not counted.
+        sdk.add_productivity("fact", fact_row("fact-1", "The pytest suite runs in CI"))
+
+        response = await client.get("/api/v2/home-summary")
+        assert response.status_code == 200
+        body = response.json()
+        library = (await client.get("/api/v2/memory-library")).json()
+        assert body["memory_count"] == library["total"] == 4
+        assert sdk.stats_calls == [{"user_id": "local", "statuses": ["active"]}]
+        # The newest memory across scenes, not the newest chat memory.
+        home_list = sdk.list_calls[0]
+        assert home_list["scene"] == "all"
+        assert (home_list["offset"], home_list["limit"], home_list["order"]) == (0, 1, "desc")
+        assert body["latest"]["memory_id"] == "exp-w"
+        assert body["latest"]["scene"] == "working"
+        assert body["latest"]["memory_at"] == EXPERIENCE_MEMORY_AT
+
+    run_with_sdk(tmp_path, monkeypatch, scenario)

memhub/apps/core/tests/test_memory_server_durable_queue.py

@@ -1118,6 +1118,75 @@ def test_sdk_write_processor_uses_add_extracted_for_memory_content_and_additions
     assert len(client.calls) == 1
 
 
+def test_a_batch_with_no_user_or_assistant_message_is_nothing_to_remember(tmp_path) -> None:
+    """Tool-only input came back 400 "content or messages is required" (16 unknown).
+
+    The SDK strips tool records on the chat path. Such a batch completes with
+    no memories; the SDK is never called and nothing is recorded unknown.
+    """
+    from one_memory.imports.models import WrittenBy
+    from one_memory.sdk_write_processor import SdkWriteProcessor
+
+    client = _SdkPublicClient()
+    processor = SdkWriteProcessor(_SdkPublicHandle(client))  # type: ignore[arg-type]
+    tools = tuple(
+        _sdk_evidence(f"tool-{index}", text="3 passed").model_copy(
+            update={"role": "tool", "written_by": WrittenBy.TOOL}
+        )
+        for index in range(2)
+    )
+    path = tmp_path / "one-memory.sqlite3"
+    queue = DurableWriteQueue(path)
+    record = queue.submit(
+        WriteRequest(
+            internal_session_id="sess-tools",
+            source_id="cursor",
+            batch_identity=BatchIdentity(
+                internal_session_id="sess-tools", first_round=1, last_round=1
+            ),
+            evidence_ids=[item.evidence_id for item in tools],
+            input_records=tools,
+            idempotency_key="tools-only",
+        )
+    )
+    _claim_through_drain(queue, record.job_id)
+
+    asyncio.run(
+        execute_job(
+            record.job_id,
+            queue=queue,
+            supervisor=processor,
+            evidence=_EvidenceStore(set()),
+        )
+    )
+
+    assert client.calls == []
+    assert client.events == []
+    [row] = _rows(path)
+    assert (row["state"], row["hy_invoked"], row["sdk_memory_ids_json"]) == (COMPLETED, 0, "[]")
+
+
+def test_the_drain_tick_writes_a_quiet_live_conversation(tmp_path, monkeypatch) -> None:
+    """The 10-minute idle flush runs on the drain's maintenance timer."""
+    path = tmp_path / "one-memory.sqlite3"
+    queue = DurableWriteQueue(path)
+    flushed: list[str] = []
+    monkeypatch.setattr(queue, "flush_idle_assemblies", lambda: flushed.append("flush") or ())
+    drain = DurableWriteDrain(queue, execute=_never_execute, reap_interval=timedelta(0))
+
+    async def tick() -> None:
+        task = asyncio.create_task(drain.run_forever())
+        for _ in range(100):
+            await asyncio.sleep(0.01)
+            if flushed:
+                break
+        drain.stop()
+        await task
+
+    asyncio.run(tick())
+    assert flushed
+
+
 def test_sdk_unknown_outcome_inquiry_uses_only_public_receipt() -> None:
     from one_memory.sdk_write_processor import SdkWriteProcessor, SdkWriteReceipt
 

memhub/apps/core/tests/test_policy_api_wiring.py

@@ -127,6 +127,28 @@ def test_the_manual_source_is_admitted_by_grant_without_a_toggle(tmp_path) -> No
     assert _sedimentation_claim_enabled(app, "one-memory-manual") is False
 
 
+def test_the_manual_source_is_allowed_without_a_grant_row_until_revoked(tmp_path) -> None:
+    """The SDK add path writes no grant row, and intake admits the record.
+
+    Claim must answer the same: a missing row is allowed, an explicit
+    revocation is not.
+    """
+    receipt: list[object] = [None]
+    app = SimpleNamespace(
+        state=SimpleNamespace(
+            config_store=ConfigStore(tmp_path),
+            model_profile_store=SimpleNamespace(active_identity=lambda: ("profile", 1)),
+            source_grant_store=SimpleNamespace(receipt=lambda **_kwargs: receipt[0]),
+        )
+    )
+
+    assert _source_writes_on(app, "one-memory-manual") is True
+    assert _sedimentation_claim_enabled(app, "one-memory-manual") is True
+    receipt[0] = SimpleNamespace(revoked_at="2026-10-27")
+    assert _source_writes_on(app, "one-memory-manual") is False
+    assert _sedimentation_claim_enabled(app, "one-memory-manual") is False
+
+
 def test_claim_gate_waits_without_polling_when_no_model_is_active(tmp_path) -> None:
     config = ConfigStore(tmp_path)
     app = SimpleNamespace(

memhub/apps/core/tests/test_sdk_data_plane_migration.py

@@ -137,19 +137,38 @@ def test_post_cutover_metadata_repair_restores_source_and_original_times(store):
     )
     coding = data_dir / "hy-memory" / "governed-v2" / "coding_cv.sqlite3"
     with sqlite3.connect(coding) as database:
-        database.execute(
-            "CREATE TABLE coding_memory_meta ("
-            "experience_id TEXT,user_id TEXT,agent_id TEXT,solution TEXT,"
-            "source TEXT,created_at TEXT,updated_at TEXT)"
+        # A store written by hy-memory 2.0.6, before the conversation time
+        # column: the repair must add it through the SDK and then fill it.
+        database.executescript(
+            """
+            CREATE TABLE coding_memory_meta (
+                experience_id TEXT PRIMARY KEY, user_id TEXT NOT NULL,
+                agent_id TEXT NOT NULL DEFAULT 'default_agent', task TEXT NOT NULL,
+                search_keys TEXT NOT NULL DEFAULT '[]', solution TEXT NOT NULL,
+                boundary_envs TEXT NOT NULL DEFAULT '', workspace_id TEXT,
+                branch TEXT, session_id TEXT, files TEXT NOT NULL DEFAULT '[]',
+                source_fact_ids TEXT NOT NULL DEFAULT '[]',
+                confidence REAL NOT NULL DEFAULT 0.7,
+                source TEXT NOT NULL DEFAULT 'default',
+                extraction_source TEXT NOT NULL DEFAULT 'auto_extract',
+                created_at TEXT NOT NULL, updated_at TEXT NOT NULL
+            );
+            CREATE TABLE working_fact (
+                fact_id TEXT PRIMARY KEY, user_id TEXT NOT NULL,
+                agent_id TEXT NOT NULL DEFAULT 'default_agent', session_id TEXT,
+                workspace_id TEXT, branch TEXT, source TEXT NOT NULL DEFAULT 'default',
+                statement TEXT NOT NULL, files TEXT NOT NULL DEFAULT '[]',
+                subject TEXT NOT NULL DEFAULT '', details TEXT NOT NULL DEFAULT '',
+                fact_link TEXT, derived_experience_ids TEXT NOT NULL DEFAULT '[]',
+                status TEXT NOT NULL DEFAULT 'active',
+                fact_chain_summary TEXT NOT NULL DEFAULT '', created_at TEXT NOT NULL
+            );
+            """
         )
         database.execute(
-            "CREATE TABLE working_fact ("
-            "fact_id TEXT,user_id TEXT,agent_id TEXT,statement TEXT,"
-            "source TEXT,created_at TEXT)"
-        )
-        database.execute(
-            "INSERT INTO coding_memory_meta VALUES "
-            "('sdk-1','local','scope','remember','default','now','now')"
+            "INSERT INTO coding_memory_meta "
+            "(experience_id,user_id,agent_id,task,solution,source,created_at,updated_at) "
+            "VALUES ('sdk-1','local','scope','remember','remember','default','now','now')"
         )
 
     result = repair_sdk_metadata_from_bundle(
@@ -168,10 +187,11 @@ def test_post_cutover_metadata_repair_restores_source_and_original_times(store):
         2026, 10, 18, tzinfo=UTC
     )
     with sqlite3.connect(coding) as database:
-        source, created_at = database.execute(
-            "SELECT source,created_at FROM coding_memory_meta WHERE experience_id='sdk-1'"
+        source, memory_at, created_at = database.execute(
+            "SELECT source,memory_at,created_at FROM coding_memory_meta WHERE experience_id='sdk-1'"
         ).fetchone()
     assert source == "workbuddy"
+    assert datetime.fromtimestamp(memory_at, tz=UTC) == datetime(2026, 10, 17, tzinfo=UTC)
     assert created_at.startswith("2026-10-18T00:00:00")
 
     repeated = repair_sdk_metadata_from_bundle(
@@ -705,6 +725,29 @@ def test_cutover_waits_until_the_new_runtime_reads_every_chat_memory(store, acti
     assert store.authority() is MemoryAuthority.SDK
 
 
+def test_sdk_migrate_repairs_metadata_after_cutover_and_writes_the_receipt(store, active_profile):
+    """76/76 memories showed source=default after an upgrade whose repair failed.
+
+    The repair now runs here, offline, right after the cutover commits; Core's
+    startup finds the receipt and does nothing.
+    """
+    _confirmed(store, "m1")
+    home = store.database_path.parent
+
+    result = run_startup_migration(
+        data_dir=home,
+        runtime_build="21",
+        sdk_version="2.0.5",
+        namespace="governed-v2",
+        open_client=_reading({"m1"}),
+    )
+
+    assert result.state == "cutover"
+    receipt = home / f".sdk-metadata-repair-v2-{result.migration_id}.json"
+    assert receipt.is_file()
+    assert json.loads(receipt.read_text())["migration_id"] == result.migration_id
+
+
 def test_retired_coding_experiences_do_not_block_but_an_empty_store_does(store, active_profile):
     _confirmed(store, "chat-1")
     _confirmed(store, "exp-kept", "exp-retired", kind="coding")

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"] == "2.0.6"
+    assert manifest["snapshot_sdk_version"] == "2.0.7"
     paths = {item["path"]: item for item in manifest["files"]}
     assert {
         "management/one-memory.sqlite3",

memhub/apps/core/tests/test_unified_write_entry_wiring.py

@@ -16,6 +16,7 @@ from __future__ import annotations
 
 import asyncio
 import contextlib
+import json
 import sqlite3
 from uuid import uuid4
 
@@ -197,17 +198,20 @@ def test_live_import_callback_submits_realtime_priority(tmp_path) -> None:
             )
             app.state.config_store.set_sync(source_id, True)
             user = _committed_record(app, source_id=source_id, message_id="live-user")
-            record = app.state.evidence_store.put(
-                EvidenceInput(
-                    source_id=source_id,
-                    conversation_id=user.conversation_id,
-                    message_id="live-assistant",
-                    role="assistant",
-                    written_by=WrittenBy.AGENT,
-                    verbatim="Live reply",
-                    origin_meta={EvidenceOrigin.FILE: OriginMetadata()},
-                )
-            ).record
+            # Live writes by the turn rule: 5 complete turns, the fifth
+            # completed by the next user message.
+            for index in range(10):
+                record = app.state.evidence_store.put(
+                    EvidenceInput(
+                        source_id=source_id,
+                        conversation_id=user.conversation_id,
+                        message_id=f"live-{index}",
+                        role="assistant" if index % 2 == 0 else "user",
+                        written_by=WrittenBy.AGENT if index % 2 == 0 else WrittenBy.PERSON,
+                        verbatim=f"Live line {index}",
+                        origin_meta={EvidenceOrigin.FILE: OriginMetadata()},
+                    )
+                ).record
             callback = app.state.import_supervisor.on_stable_evidence
             assert callback is not None
             token = live_sync_arrival.set(True)
@@ -216,11 +220,12 @@ def test_live_import_callback_submits_realtime_priority(tmp_path) -> None:
             finally:
                 live_sync_arrival.reset(token)
             with sqlite3.connect(app.state.evidence_store.database_path) as db:
-                priority = db.execute(
-                    "SELECT priority FROM memory_write_jobs WHERE idempotency_key LIKE ?",
+                rows = db.execute(
+                    "SELECT priority,evidence_ids_json FROM memory_write_jobs "
+                    "WHERE idempotency_key LIKE ?",
                     ("turn:v1:%",),
-                ).fetchone()[0]
-            assert priority == "live"
+                ).fetchall()
+            assert [(priority, len(json.loads(ids))) for priority, ids in rows] == [("live", 10)]
 
     asyncio.run(scenario())
 

memhub/apps/core/tests/test_whole_turn_hy_input.py

@@ -1,8 +1,8 @@
-"""D74: a turn reaches HY whole; only what HY will read counts toward the ceiling."""
+"""D74: a turn reaches HY whole; only what HY will read counts toward the batch size."""
 
 from datetime import UTC, datetime
 
-from one_memory.conversation_processing import _conversation_chunks
+from one_memory.conversation_processing import turn_batches
 from one_memory.imports.models import EvidenceInput, EvidenceOrigin, OriginMetadata, WrittenBy
 from one_memory.imports.storage import EvidenceStore
 
@@ -36,66 +36,33 @@ def test_tool_heavy_turn_is_one_window(tmp_path):
         *[("assistant", "定位中") for _ in range(30)],
         ("assistant", "原因是 fixture 没清理" * 100),
     )
-    chunks = _conversation_chunks(records)
-    assert len(chunks) == 1
-    assert chunks[0] == tuple(records)
+    batches = turn_batches(records, flush=True).batches
+    assert batches == (tuple(records),)
 
 
 def test_long_answer_is_not_cut(tmp_path):
     records = _turn(tmp_path, ("user", "写一份方案"), ("assistant", "段落。" * 7_000))
-    chunks = _conversation_chunks(records)
-    assert chunks == [tuple(records)]
-    assert all(":segment:" not in record.evidence_id for record in chunks[0])
+    batches = turn_batches(records, flush=True).batches
+    assert batches == (tuple(records),)
+    assert all(":segment:" not in record.evidence_id for record in batches[0])
 
 
-def test_text_over_the_ceiling_still_splits(tmp_path):
-    records = _turn(tmp_path, ("user", "整理"), ("assistant", "句子。" * 25_000))
-    chunks = _conversation_chunks(records)
-    assert len(chunks) > 1
-    assert all(chunk[0].evidence_id == records[0].evidence_id for chunk in chunks)
+def test_a_turn_far_over_the_batch_size_is_still_one_window(tmp_path):
+    """The rule never splits a turn: it is written alone, whole.
 
-
-def test_switch_restores_the_old_split(tmp_path, monkeypatch):
-    monkeypatch.setenv("ONE_MEMORY_SPLIT_TURNS", "1")
-    records = _turn(tmp_path, ("user", "写一份方案"), ("assistant", "段落。" * 7_000))
-    assert len(_conversation_chunks(records)) > 1
-
-
-def test_explicit_limits_keep_old_semantics(tmp_path):
-    records = _turn(tmp_path, ("user", "q"), *[("assistant", "a" * 100) for _ in range(30)])
-    assert len(_conversation_chunks(records, max_turns=6, max_characters=1200)) > 1
-
-
-def test_one_window_is_capped_in_raw_bytes(tmp_path):
-    """HY counts 2 KiB per tool record, but we still hold the raw text.
-
-    `client.add` is in-process, so a window's raw bytes are what the process
-    actually holds even though HY will cut each tool record down before it
-    reaches the model. Past the byte ceiling the window is cut, so no single
-    call can grow without bound.
+    The old windows cut text past 60k characters and raw bytes past 2 MB into
+    segments that repeated the user question. HY reads at most
+    `_HY_TOOL_CHARACTERS` of each tool record, so the window HY reads stays
+    bounded by the turn's own text.
     """
-    from one_memory.conversation_processing import _WINDOW_BYTE_CEILING
-
     records = _turn(
         tmp_path,
         ("user", "跑一下全部测试"),
         *[("tool", "y" * 400_000) for _ in range(20)],
+        ("assistant", "句子。" * 25_000),
     )
-    chunks = _conversation_chunks(records)
-    assert len(chunks) > 1
-    assert all(
-        sum(len(item.verbatim.encode("utf-8")) for item in chunk) <= _WINDOW_BYTE_CEILING
-        for chunk in chunks
-    )
-
-
-def test_the_byte_ceiling_counts_bytes_not_characters(tmp_path):
-    """One CJK character is three bytes; a character count would let three
-    times as much through."""
-    from one_memory.conversation_processing import _WINDOW_BYTE_CEILING, _window_bytes
-
-    assert _window_bytes(_turn(tmp_path, ("user", "中文"))[0]) > len("中文")
-    assert _WINDOW_BYTE_CEILING == 2_000_000
+    batches = turn_batches(records, flush=True).batches
+    assert batches == (tuple(records),)
 
 
 def test_the_sdk_strips_tool_messages_on_the_chat_path():

memhub/apps/core/uv.lock

@@ -991,7 +991,7 @@ wheels = [
 
 [[package]]
 name = "hy-memory"
-version = "2.0.6"
+version = "2.0.7"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "chromadb" },
@@ -1008,9 +1008,9 @@ dependencies = [
     { name = "scikit-learn" },
     { name = "tiktoken" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/18/98/312ac8bcbe41e63200a93d296300b2e6748e1a532dad01f009dad57ba408/hy_memory-2.0.6.tar.gz", hash = "sha256:d0f54d54867ee7e722a8dd1a88a00c0576904435f15ae7899fe640840bff74bc", size = 855200, upload-time = "2026-10-27T07:53:10.022Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/17/b5/87a43c8d8b77fdfbbe7974d1e93af50ddf82317c5d56e180b865fb19e181/hy_memory-2.0.7.tar.gz", hash = "sha256:85636487e5bd4b6595a8c15301499efb365b6010c236a45c51c144f6986a4222", size = 854913, upload-time = "2026-10-28T03:35:38.127Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/27/f1/d4866cffe426d77b857168cc694b15df866f3d9f45152c17c148e1595db4/hy_memory-2.0.6-py3-none-any.whl", hash = "sha256:b0e666f8e89d1763bb31c0e67502df74434134a638ff6fd1912de9e936be2483", size = 918955, upload-time = "2026-10-27T07:53:07.686Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/b8/a6e0bfd17aeb432b0470f4dc707271e6476f5ac34f3b301ab3ad2e1c0d83/hy_memory-2.0.7-py3-none-any.whl", hash = "sha256:80a501e17987202ee1150a91b071313e890300620f353f9e89c967286dc1a645", size = 919841, upload-time = "2026-10-28T03:35:35.399Z" },
 ]
 
 [[package]]
@@ -1837,7 +1837,7 @@ requires-dist = [
     { name = "fastapi", specifier = ">=0.141.1" },
     { name = "filelock", specifier = ">=3.32.4" },
     { name = "httpx", specifier = ">=0.28.1" },
-    { name = "hy-memory", specifier = "==2.0.6" },
+    { name = "hy-memory", specifier = "==2.0.7" },
     { name = "keyring", specifier = ">=25.7.0" },
     { name = "numpy", specifier = "==2.5.2" },
     { name = "onnxruntime", specifier = "==1.23.2" },

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

@@ -28,11 +28,15 @@ describe("ConnectionFallback", () => {
     } as unknown as Window["oneMemory"];
     render(
       <LanguageProvider>
-        <ConnectionFallback />
+        <ConnectionFallback defaultExpanded />
       </LanguageProvider>,
     );
     const user = userEvent.setup();
-    await user.click(await screen.findByText("Conectar otras herramientas"));
+    expect(
+      (await screen.findByText("Conectar otras herramientas")).closest(
+        "details",
+      ),
+    ).toHaveProperty("open", true);
     await user.type(
       screen.getByLabelText("Nombre del Harness"),
       "Harness 原名",
@@ -59,8 +63,11 @@ describe("ConnectionFallback", () => {
       createCustomHarnessSkill,
       copyText,
     } as unknown as Window["oneMemory"];
-    render(<ConnectionFallback />);
-    await user.click(screen.getByText("连接其他工具"));
+    render(<ConnectionFallback defaultExpanded />);
+    expect(screen.getByText("连接其他工具").closest("details")).toHaveProperty(
+      "open",
+      true,
+    );
     const generate = screen.getByRole("button", { name: "生成配对 Skill" });
     expect(generate).toHaveProperty("disabled", true);
     await user.type(screen.getByLabelText("Harness 名称"), "Kimi Code");
@@ -90,8 +97,7 @@ describe("ConnectionFallback", () => {
       createCustomHarnessSkill,
       copyText: vi.fn().mockRejectedValue(new Error()),
     } as unknown as Window["oneMemory"];
-    render(<ConnectionFallback />);
-    await user.click(screen.getByText("连接其他工具"));
+    render(<ConnectionFallback defaultExpanded />);
     await user.type(screen.getByLabelText("Harness 名称"), "Kimi Code");
     await user.click(screen.getByRole("button", { name: "生成配对 Skill" }));
     await user.click(await screen.findByRole("button", { name: "重试" }));
@@ -103,6 +109,10 @@ describe("ConnectionFallback", () => {
   });
   it("does not invent runtime paths in the browser", () => {
     render(<ConnectionFallback />);
+    expect(screen.getByText("连接其他工具").closest("details")).toHaveProperty(
+      "open",
+      false,
+    );
     expect(screen.queryByLabelText("配对 Skill")).toBeNull();
     expect(screen.getByText("本机配对仅在桌面 App 中可用。")).toBeTruthy();
   });

memhub/apps/web/src/ConnectionFallback.tsx

@@ -13,8 +13,13 @@ type MaterialBridge = {
   getConnectionMaterial(): Promise<ConnectionMaterial>;
 };
 
-export function ConnectionFallback() {
+export function ConnectionFallback({
+  defaultExpanded = false,
+}: {
+  defaultExpanded?: boolean;
+} = {}) {
   const { locale, t } = useGuiLanguage();
+  const [expanded, setExpanded] = useState(defaultExpanded);
   const [displayName, setDisplayName] = useState("");
   const [material, setMaterial] = useState<Material | null>(null);
   const [loading, setLoading] = useState(false);
@@ -42,7 +47,11 @@ export function ConnectionFallback() {
   }
 
   return (
-    <details className="connection-fallback">
+    <details
+      className="connection-fallback"
+      open={expanded}
+      onToggle={(event) => setExpanded(event.currentTarget.open)}
+    >
       <summary>{t("connectionFallback.title")}</summary>
       {materialBridge?.getConnectionMaterial ? (
         <ConnectionMaterialFallback

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

@@ -15,7 +15,7 @@ afterEach(() => {
 
 it.each(["zh-CN", "en", "es"] as const)(
   "hides the compact label while preserving its accessible name in %s",
-  (locale) => {
+  async (locale) => {
     localStorage.setItem(LANGUAGE_STORAGE_KEY, locale);
     render(
       <LanguageProvider>
@@ -28,6 +28,7 @@ it.each(["zh-CN", "en", "es"] as const)(
     expect(label.hidden).toBe(true);
     expect(label.htmlFor).toBe(selector.id);
     expect(screen.getByRole("region", { name })).toBeTruthy();
+    await userEvent.click(selector);
     expect(screen.getByRole("option", { name: "Español" })).toBeTruthy();
     expect(screen.getByRole("option", { name: "English" })).toBeTruthy();
     expect(screen.getByRole("option", { name: "简体中文" })).toBeTruthy();
@@ -60,18 +61,19 @@ it.each(["zh-CN", "en", "es"] as const)(
 
 it.each(["system", "zh-CN", "en", "es"] as const)(
   "keeps one stable settings row for the %s preference",
-  (preference) => {
+  async (preference) => {
     localStorage.setItem(LANGUAGE_STORAGE_KEY, preference);
     render(
       <LanguageProvider>
         <LanguageSelector />
       </LanguageProvider>,
     );
-    const selector = screen.getByRole("combobox") as HTMLSelectElement;
+    const selector = screen.getByRole("combobox") as HTMLButtonElement;
     const row = selector.closest(".r6-language-setting-row");
     expect(selector.value).toBe(preference);
     expect(row).toBeTruthy();
     expect(row?.querySelector("label")?.hidden).toBe(false);
+    await userEvent.click(selector);
     expect(
       screen
         .getByRole("option", {
@@ -102,9 +104,10 @@ it("offers an accessible selector, persists and updates its label", async () =>
   const selector = screen.getByRole("combobox", {
     name: translate("zh-CN", "languageLabel"),
   });
-  expect(screen.getAllByRole("option")).toHaveLength(4);
   expect(selector.getAttribute("aria-describedby")).toBeTruthy();
-  await userEvent.selectOptions(selector, "es");
+  await userEvent.click(selector);
+  expect(screen.getAllByRole("option")).toHaveLength(4);
+  await userEvent.click(screen.getByRole("option", { name: "西班牙语" }));
   expect(localStorage.getItem(LANGUAGE_STORAGE_KEY)).toBe("es");
   expect(
     screen.getByRole("combobox", { name: translate("es", "languageLabel") }),
@@ -112,6 +115,31 @@ it("offers an accessible selector, persists and updates its label", async () =>
   expect(document.documentElement.lang).toBe("es");
 });
 
+it("supports keyboard selection without using the system select menu", async () => {
+  localStorage.setItem(LANGUAGE_STORAGE_KEY, "system");
+  render(
+    <LanguageProvider>
+      <LanguageSelector />
+    </LanguageProvider>,
+  );
+  const selector = screen.getByRole("combobox");
+  selector.focus();
+  await userEvent.keyboard("{Enter}");
+  expect(selector.getAttribute("aria-expanded")).toBe("true");
+  await userEvent.tab();
+  expect(selector.getAttribute("aria-expanded")).toBe("false");
+  selector.focus();
+  await userEvent.keyboard("{Enter}");
+  await userEvent.keyboard("{Escape}");
+  expect(selector.getAttribute("aria-expanded")).toBe("false");
+  await userEvent.keyboard(" ");
+  expect(selector.getAttribute("aria-expanded")).toBe("true");
+  await userEvent.keyboard("{Escape}");
+  await userEvent.keyboard("{ArrowDown}{ArrowDown}{Enter}");
+  expect(localStorage.getItem(LANGUAGE_STORAGE_KEY)).toBe("zh-CN");
+  expect(selector.getAttribute("aria-expanded")).toBe("false");
+});
+
 it("announces storage errors without replacing the confirmed choice", async () => {
   localStorage.setItem(LANGUAGE_STORAGE_KEY, "zh-CN");
   render(
@@ -122,11 +150,12 @@ it("announces storage errors without replacing the confirmed choice", async () =
   vi.spyOn(Storage.prototype, "setItem").mockImplementation(() => {
     throw new Error("denied");
   });
-  await userEvent.selectOptions(screen.getByRole("combobox"), "es");
+  await userEvent.click(screen.getByRole("combobox"));
+  await userEvent.click(screen.getByRole("option", { name: "西班牙语" }));
   expect(screen.getByRole("alert").textContent).toBe(
     translate("zh-CN", "languageSaveError"),
   );
-  expect((screen.getByRole("combobox") as HTMLSelectElement).value).toBe(
+  expect((screen.getByRole("combobox") as HTMLButtonElement).value).toBe(
     "zh-CN",
   );
 });

memhub/apps/web/src/LanguageSelector.tsx

@@ -1,11 +1,30 @@
 import { isLanguagePreference } from "@one-memory/i18n";
 import { useId, useState } from "react";
 import { useGuiLanguage } from "./gui-language";
+import { OptionMenu } from "./OptionMenu";
 
 export function LanguageSelector({ compact = false }: { compact?: boolean }) {
   const id = useId();
   const { preference, setPreference, t, error } = useGuiLanguage();
   const [pending, setPending] = useState(false);
+  const options = [
+    { value: "system", label: t("languageSystem") },
+    {
+      value: "zh-CN",
+      label: compact ? "简体中文" : t("languageChinese"),
+      lang: "zh-CN",
+    },
+    {
+      value: "en",
+      label: compact ? "English" : t("languageEnglish"),
+      lang: "en",
+    },
+    {
+      value: "es",
+      label: compact ? "Español" : t("languageSpanish"),
+      lang: "es",
+    },
+  ] as const;
   return (
     <section
       aria-labelledby={compact ? `${id}-label` : `${id}-title`}
@@ -26,14 +45,16 @@ export function LanguageSelector({ compact = false }: { compact?: boolean }) {
         <label id={`${id}-label`} htmlFor={`${id}-select`} hidden={compact}>
           {t(compact ? "languageTitle" : "languageLabel")}
         </label>
-        <select
+        <OptionMenu
           id={`${id}-select`}
-          aria-label={compact ? t("languageTitle") : undefined}
-          aria-describedby={compact ? undefined : `${id}-description`}
+          ariaLabel={compact ? t("languageTitle") : undefined}
+          labelledBy={compact ? undefined : `${id}-label`}
+          describedBy={compact ? undefined : `${id}-description`}
           value={preference}
           disabled={pending}
-          onChange={async (event) => {
-            const value = event.currentTarget.value;
+          options={options}
+          className="r6-language-option-menu"
+          onChange={async (value) => {
             if (!isLanguagePreference(value)) return;
             setPending(true);
             try {
@@ -42,18 +63,7 @@ export function LanguageSelector({ compact = false }: { compact?: boolean }) {
               setPending(false);
             }
           }}
-        >
-          <option value="system">{t("languageSystem")}</option>
-          <option value="zh-CN" lang="zh-CN">
-            {compact ? "简体中文" : t("languageChinese")}
-          </option>
-          <option value="en" lang="en">
-            {compact ? "English" : t("languageEnglish")}
-          </option>
-          <option value="es" lang="es">
-            {compact ? "Español" : t("languageSpanish")}
-          </option>
-        </select>
+        />
       </div>
       {!compact && (
         <p id={`${id}-description`} className="r6-language-setting-description">

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

@@ -212,6 +212,7 @@ it("searches only when 搜索 is pressed, not on every keystroke", async () => {
       }}
     />,
   );
+  expect(screen.getByRole("combobox", { name: "来源" })).toBeTruthy();
   await userEvent.type(
     screen.getByRole("textbox", { name: "筛选地图记忆" }),
     "版本号",
@@ -265,6 +266,29 @@ it("OBS-15: switching memory shows a read in progress instead of the previous me
   expect(screen.getByRole("status").textContent).toContain("正在读取这条记忆");
 });
 
+it("keeps the detail header outside the scrolling body and resets detail scroll on selection", async () => {
+  const { container } = render(
+    <Host simplified sources={[importedSources[0]]} />,
+  );
+  const heading = screen
+    .getByRole("heading", { name: "记忆详情" })
+    .closest(".map-inspector-heading");
+  const body = container.querySelector<HTMLElement>(".map-inspector-body");
+  expect(heading?.nextElementSibling).toBe(body);
+  if (!body) throw new Error("Memory detail scroll body is missing");
+  body.scrollTop = 180;
+  await userEvent.click(
+    within(screen.getByRole("list", { name: "地图记忆列表" })).getByRole(
+      "button",
+      { name: /第二条/ },
+    ),
+  );
+  expect(body.scrollTop).toBe(0);
+  body.scrollTop = 120;
+  await userEvent.click(screen.getByRole("button", { name: "图中选择 Codex" }));
+  expect(body.scrollTop).toBe(0);
+});
+
 it("OBS-12: the graph legend stays with the graph instead of sitting under a stage without one", () => {
   // While the first page is still being read there is no graph yet: the
   // legend used to sit there anyway, describing nothing.
@@ -493,7 +517,7 @@ it("D96: the memory page has no raw-dialogue tab and never loads the dialogue li
 it("D96: lists a memory by when its conversation happened, not when it was generated", () => {
   const today = new Date().toISOString();
   const thisYear = new Date().getFullYear();
-  const items = ["第一条", "第二条", "第三条"].map((content, i) => ({
+  const items = ["第一条", "第二条", "第三条", "第四条"].map((content, i) => ({
     ...memories[0],
     memory_id: `t${i}`,
     content,
@@ -508,10 +532,11 @@ it("D96: lists a memory by when its conversation happened, not when it was gener
         total: 519,
         offset: 100,
         limit: 100,
-        source_ids_by_memory: { t0: [], t1: [], t2: [] },
+        source_ids_by_memory: { t0: [], t1: [], t2: [], t3: [] },
         source_time_by_memory: {
           t0: { at: `${thisYear}-10-02T10:54:00`, basis: "conversation" },
           t1: { at: `${thisYear}-09-30T08:00:00`, basis: "import" },
+          t3: { at: `${thisYear}-09-29T08:00:00`, basis: "write" },
         },
       })}
     />,
@@ -523,6 +548,10 @@ it("D96: lists a memory by when its conversation happened, not when it was gener
   expect(
     within(list).getByRole("button", { name: /第二条/ }).textContent,
   ).toContain("导入于 9月30日");
+  // An experience stored without a conversation time names its write time.
+  expect(
+    within(list).getByRole("button", { name: /第四条/ }).textContent,
+  ).toContain("写入于 9月29日");
   // D99: the generated day keeps its own line, so a memory made today from an
   // old conversation still reads as new rather than looking misplaced.
   expect(
@@ -546,6 +575,73 @@ it("D96: lists a memory by when its conversation happened, not when it was gener
   ).toBe(true);
 });
 
+it("keeps pagination and current detail stable while the next page is loading", async () => {
+  const onPage = vi.fn();
+  const page = {
+    items: memories,
+    total: 202,
+    offset: 0,
+    limit: 100,
+    source_ids_by_memory: { m0: ["codex"], m1: ["codex"] },
+  };
+  const libraryView = { ...pagedView(page), onPage };
+  const view = render(<Host simplified libraryView={libraryView} />);
+  const list = screen.getByRole("list", { name: "地图记忆列表" });
+  list.scrollTop = 160;
+  const pager = screen.getByRole("navigation", { name: "地图记忆分页" });
+  await userEvent.click(
+    within(pager).getByRole("button", { name: "下一页记忆" }),
+  );
+  expect(onPage).toHaveBeenCalledWith(100);
+  view.rerender(
+    <Host simplified libraryView={{ ...libraryView, loading: true }} />,
+  );
+  expect(
+    screen
+      .getByRole("navigation", { name: "地图记忆分页" })
+      .getAttribute("aria-busy"),
+  ).toBe("true");
+  expect(
+    (
+      screen.getByRole("button", {
+        name: "下一页记忆",
+      }) as HTMLButtonElement
+    ).disabled,
+  ).toBe(true);
+  expect(screen.getByRole("heading", { name: "第一条" })).toBeTruthy();
+  expect(list.scrollTop).toBe(160);
+
+  const nextItems = memories.map((memory, index) => ({
+    ...memory,
+    memory_id: `next-${index}`,
+    content: `下一页第 ${index + 1} 条`,
+  }));
+  view.rerender(
+    <Host
+      simplified
+      items={nextItems}
+      libraryView={{
+        ...libraryView,
+        page: {
+          ...page,
+          items: nextItems,
+          offset: 100,
+          source_ids_by_memory: {
+            "next-0": ["codex"],
+            "next-1": ["codex"],
+          },
+        },
+        loading: false,
+      }}
+    />,
+  );
+  expect(list.scrollTop).toBe(0);
+  expect(within(list).getByText("下一页第 1 条")).toBeTruthy();
+  await waitFor(() =>
+    expect(screen.queryByRole("heading", { name: "第一条" })).toBeNull(),
+  );
+});
+
 it("names the SDK's no-source bucket 未识别来源, apart from a source under review", () => {
   const items = ["有来源", "无来源"].map((content, i) => ({
     ...memories[0],

memhub/apps/web/src/MemoryMap.tsx

@@ -25,6 +25,7 @@ import {
   type RefObject,
   useCallback,
   useEffect,
+  useLayoutEffect,
   useMemo,
   useRef,
   useState,
@@ -138,7 +139,7 @@ function monthDay(value: string, locale: GuiLocale): string | null {
 
 /** D96: when the cited conversation happened, not when the memory was generated. */
 function sourceStamp(
-  time: { at: string; basis: "conversation" | "import" } | undefined,
+  time: { at: string; basis: "conversation" | "import" | "write" } | undefined,
   fallback: string | null | undefined,
   locale: GuiLocale = "zh-CN",
 ): string {
@@ -146,7 +147,11 @@ function sourceStamp(
   if (time && day)
     return memoryText(
       locale,
-      time.basis === "conversation" ? "对话于 {day}" : "导入于 {day}",
+      time.basis === "conversation"
+        ? "对话于 {day}"
+        : time.basis === "write"
+          ? "写入于 {day}"
+          : "导入于 {day}",
       { day },
     );
   return dayStamp(fallback, locale);
@@ -220,6 +225,8 @@ export function MemoryMap(props: Props) {
   const compact = useMediaPreference("(max-width: 1100px)");
   const composing = useRef(false);
   const pane = useRef<HTMLElement>(null);
+  const memoryList = useRef<HTMLUListElement>(null);
+  const inspectorBody = useRef<HTMLDivElement>(null);
   const openedDefault = useRef(false);
   const scrollSelection = useRef(false);
   const controlledSource = library
@@ -367,6 +374,11 @@ export function MemoryMap(props: Props) {
   const activeId = active.some((memory) => memory.memory_id === requestedId)
     ? requestedId
     : null;
+  const inspectorIdentity = activeId
+    ? `memory:${activeId}`
+    : selectedSource
+      ? `source:${selectedSource.source_id}`
+      : (visibleGroupNode?.node_id ?? "empty");
   const visibleDetail =
     detail &&
     (!activeId || activeId === detail.memory.memory_id) &&
@@ -427,6 +439,19 @@ export function MemoryMap(props: Props) {
       container.scrollTop += itemBounds.bottom - containerBounds.bottom;
     }
   }, [activeId]);
+  useLayoutEffect(() => {
+    // Detail content owns its own scrollport. A newly selected memory must
+    // start at its heading instead of inheriting the previous inspector view.
+    if (inspectorIdentity === "empty") return;
+    if (inspectorBody.current) inspectorBody.current.scrollTop = 0;
+  }, [inspectorIdentity]);
+  const settledPageOffset = library?.page?.offset;
+  useLayoutEffect(() => {
+    // A settled page is a new reading surface, not a continuation of the
+    // previous page's scroll position.
+    if (settledPageOffset === undefined) return;
+    if (memoryList.current) memoryList.current.scrollTop = 0;
+  }, [settledPageOffset]);
 
   const clear = useCallback(() => {
     setSelectedId(null);
@@ -586,6 +611,7 @@ export function MemoryMap(props: Props) {
             <label htmlFor="selected-source-filter">{text("来源")}</label>
             <OptionMenu
               id="selected-source-filter"
+              ariaLabel={text("来源")}
               className="om-option-menu--plain"
               value={controlledSource}
               options={[
@@ -781,6 +807,7 @@ export function MemoryMap(props: Props) {
           </p>
         )}
         <ul
+          ref={memoryList}
           className="map-memory-list"
           aria-label={text("地图记忆列表")}
           id="memory-pane-memories"
@@ -874,18 +901,21 @@ export function MemoryMap(props: Props) {
             </p>
           )}
         {library?.page &&
-          !library.loading &&
+          (!library.loading || library.page.total > 0) &&
           !library.failed &&
           !library.stale && (
-            <nav aria-label={text("地图记忆分页")} className="map-pagination">
+            <nav
+              aria-label={text("地图记忆分页")}
+              aria-busy={library.loading || undefined}
+              className="map-pagination"
+            >
               <button
                 type="button"
                 className="quiet map-tool"
                 aria-label={text("上一页记忆")}
                 title={text("上一页记忆")}
-                disabled={library.page.offset === 0}
+                disabled={library.loading || library.page.offset === 0}
                 onClick={() => {
-                  clear();
                   if (axis === "topic") setGroupKey("");
                   if (library.page)
                     library.onPage(library.page.offset - library.page.limit);
@@ -914,10 +944,10 @@ export function MemoryMap(props: Props) {
                 aria-label={text("下一页记忆")}
                 title={text("下一页记忆")}
                 disabled={
+                  library.loading ||
                   library.page.offset + library.page.limit >= library.page.total
                 }
                 onClick={() => {
-                  clear();
                   if (axis === "topic") setGroupKey("");
                   if (library.page)
                     library.onPage(library.page.offset + library.page.limit);
@@ -1117,142 +1147,144 @@ export function MemoryMap(props: Props) {
             </button>
           )}
         </header>
-        {selectedSource ? (
-          inspectorOpen &&
-          !overlaysSuspended && (
-            <SourceImportReceipt
-              key={selectedSource.source_id}
-              source={selectedSource}
-            />
-          )
-        ) : props.simplified && inspectorDetail ? (
-          <div
-            aria-busy={
-              refreshing ||
-              inspectorDetail.memory.memory_id !== activeId ||
-              undefined
-            }
-            onClickCapture={(event) => {
-              // React portal events follow this owner too, including editor saves.
-              if (
-                refreshing &&
-                (event.target as Element).closest("button, summary")
-              ) {
-                event.preventDefault();
-                event.stopPropagation();
+        <div className="map-inspector-body" ref={inspectorBody}>
+          {selectedSource ? (
+            inspectorOpen &&
+            !overlaysSuspended && (
+              <SourceImportReceipt
+                key={selectedSource.source_id}
+                source={selectedSource}
+              />
+            )
+          ) : props.simplified && inspectorDetail ? (
+            <div
+              aria-busy={
+                refreshing ||
+                inspectorDetail.memory.memory_id !== activeId ||
+                undefined
               }
-            }}
-            onSubmitCapture={(event) => {
-              if (refreshing) {
-                event.preventDefault();
-                event.stopPropagation();
-              }
-            }}
-          >
-            {/* The pane used to keep the previously read memory on screen
+              onClickCapture={(event) => {
+                // React portal events follow this owner too, including editor saves.
+                if (
+                  refreshing &&
+                  (event.target as Element).closest("button, summary")
+                ) {
+                  event.preventDefault();
+                  event.stopPropagation();
+                }
+              }}
+              onSubmitCapture={(event) => {
+                if (refreshing) {
+                  event.preventDefault();
+                  event.stopPropagation();
+                }
+              }}
+            >
+              {/* The pane used to keep the previously read memory on screen
                 until the new one arrived, which read as "nothing happened"
                 for two or three seconds. A read is not a value: show that a
                 read is happening instead. */}
-            {activeId && inspectorDetail.memory.memory_id !== activeId ? (
-              <div className="map-detail-loading">
+              {activeId && inspectorDetail.memory.memory_id !== activeId ? (
+                <div className="map-detail-loading">
+                  <div className="map-detail-skeleton" aria-hidden="true">
+                    <i />
+                    <i />
+                    <i />
+                    <i />
+                  </div>
+                  <p role="status">{text("正在读取这条记忆…")}</p>
+                </div>
+              ) : (
+                <SelectedMemoryDetail
+                  detail={inspectorDetail}
+                  sources={sources}
+                  conversationAt={
+                    library?.page?.source_time_by_memory?.[
+                      inspectorDetail.memory.memory_id
+                    ] ?? null
+                  }
+                />
+              )}
+            </div>
+          ) : inspectorDetail || visibleGroupNode ? (
+            <NodeDetail
+              key={
+                inspectorDetail?.memory.memory_id ||
+                visibleGroupNode?.node_id ||
+                "empty"
+              }
+              compact
+              node={visibleGroupNode}
+              graph={projection}
+              detail={inspectorDetail}
+              draft={props.draft}
+              busy={busy}
+              matterLabel={label}
+              onDraft={props.onDraft}
+              onSave={props.onSave}
+              onDelete={props.onDelete}
+              requestIds={props.requestIds}
+              onClose={closeInspector}
+            />
+          ) : (
+            <div
+              className={`map-inspector-empty${activeId ? " map-inspector-loading" : ""}`}
+            >
+              {activeId ? (
                 <div className="map-detail-skeleton" aria-hidden="true">
                   <i />
                   <i />
                   <i />
                   <i />
                 </div>
-                <p role="status">{text("正在读取这条记忆…")}</p>
-              </div>
-            ) : (
-              <SelectedMemoryDetail
-                detail={inspectorDetail}
-                sources={sources}
-                conversationAt={
-                  library?.page?.source_time_by_memory?.[
-                    inspectorDetail.memory.memory_id
-                  ] ?? null
-                }
-              />
-            )}
-          </div>
-        ) : inspectorDetail || visibleGroupNode ? (
-          <NodeDetail
-            key={
-              inspectorDetail?.memory.memory_id ||
-              visibleGroupNode?.node_id ||
-              "empty"
-            }
-            compact
-            node={visibleGroupNode}
-            graph={projection}
-            detail={inspectorDetail}
-            draft={props.draft}
-            busy={busy}
-            matterLabel={label}
-            onDraft={props.onDraft}
-            onSave={props.onSave}
-            onDelete={props.onDelete}
-            requestIds={props.requestIds}
-            onClose={closeInspector}
-          />
-        ) : (
-          <div
-            className={`map-inspector-empty${activeId ? " map-inspector-loading" : ""}`}
-          >
-            {activeId ? (
-              <div className="map-detail-skeleton" aria-hidden="true">
-                <i />
-                <i />
-                <i />
-                <i />
-              </div>
-            ) : (
-              <FileText size={28} strokeWidth={1} />
-            )}
-            {props.detailLoad?.memoryId === activeId &&
-            props.detailLoad.status === "failed" ? (
-              <>
-                <p role="alert">
-                  {text("这条记忆的原文暂时无法读取，选择已保留。")}
-                </p>
-                <button
-                  type="button"
-                  className="secondary"
-                  onClick={() => activeId && onOpenMemory(activeId)}
-                >
-                  {text("重试读取原文")}
-                </button>
-              </>
-            ) : props.simplified && !activeId && filtered.length ? (
-              // Nothing is selected, but this conversation has already
-              // settled: naming what came out of it beats a placeholder that
-              // asks for the settle that already happened. Only the
-              // single-column surface needs it — the three-column one already
-              // lists the same memories in the pane beside this one.
-              <>
+              ) : (
+                <FileText size={28} strokeWidth={1} />
+              )}
+              {props.detailLoad?.memoryId === activeId &&
+              props.detailLoad.status === "failed" ? (
+                <>
+                  <p role="alert">
+                    {text("这条记忆的原文暂时无法读取，选择已保留。")}
+                  </p>
+                  <button
+                    type="button"
+                    className="secondary"
+                    onClick={() => activeId && onOpenMemory(activeId)}
+                  >
+                    {text("重试读取原文")}
+                  </button>
+                </>
+              ) : props.simplified && !activeId && filtered.length ? (
+                // Nothing is selected, but this conversation has already
+                // settled: naming what came out of it beats a placeholder that
+                // asks for the settle that already happened. Only the
+                // single-column surface needs it — the three-column one already
+                // lists the same memories in the pane beside this one.
+                <>
+                  <p>
+                    {text(
+                      "已沉淀 {count} 条记忆",
+                      { count: plain(filtered.length) },
+                      filtered.length,
+                    )}
+                  </p>
+                  <ul
+                    className="map-settled-list"
+                    aria-label={text("已沉淀的记忆")}
+                  >
+                    {filtered.map((m) => (
+                      <li key={m.memory_id}>{m.content}</li>
+                    ))}
+                  </ul>
+                </>
+              ) : (
                 <p>
-                  {text(
-                    "已沉淀 {count} 条记忆",
-                    { count: plain(filtered.length) },
-                    filtered.length,
-                  )}
+                  {text(activeId ? "正在读取记忆详情…" : "沉淀记忆后查看详情")}
                 </p>
-                <ul
-                  className="map-settled-list"
-                  aria-label={text("已沉淀的记忆")}
-                >
-                  {filtered.map((m) => (
-                    <li key={m.memory_id}>{m.content}</li>
-                  ))}
-                </ul>
-              </>
-            ) : (
-              <p>
-                {text(activeId ? "正在读取记忆详情…" : "沉淀记忆后查看详情")}
-              </p>
-            )}
-          </div>
-        )}
+              )}
+            </div>
+          )}
+        </div>
       </MemoryEvidencePanel>
     </section>
   );

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

@@ -201,8 +201,9 @@ it("keeps an added memory visible while it waits for model processing", async ()
   render(<MemorySpace simplified onConfigureModel={vi.fn()} />);
   fireEvent.click(screen.getByRole("button", { name: "补充记忆" }));
   expect(
-    screen.getByText(/原话已保存，正在等待整理：项目周会统一安排在周三上午。/),
+    screen.getByText(/正在等待整理：项目周会统一安排在周三上午。/),
   ).toBeTruthy();
+  expect(screen.queryByText(/原话已保存/)).toBeNull();
   expect(screen.getByRole("button", { name: "配置整理模型" })).toBeTruthy();
   expect(screen.queryByText("还没有已生成的记忆")).toBeNull();
 });

memhub/apps/web/src/MemorySpace.tsx

@@ -953,7 +953,7 @@ export function MemorySpace({
       {simplified && pendingAdd ? (
         <p className="memory-pending-add" role="status">
           <span>
-            {t("memory:原话已保存，正在等待整理：")}
+            {t("memory:正在等待整理：")}
             {pendingAdd.text}
           </span>
           {pendingAdd.state === "waiting_for_model" ? (

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

@@ -117,7 +117,8 @@ it("changes the first-screen language without losing source choices or starting
     ),
   );
   await user.click(screen.getByLabelText("导入 Cursor 历史"));
-  await user.selectOptions(selector, "es");
+  await user.click(selector);
+  await user.click(screen.getByRole("option", { name: "Español" }));
   expect(screen.getByRole("combobox", { name: "Idioma de la interfaz" })).toBe(
     selector,
   );
@@ -125,7 +126,8 @@ it("changes the first-screen language without losing source choices or starting
     screen.getByLabelText("Importar el historial de Cursor"),
   ).toHaveProperty("checked", false);
   await user.click(screen.getByLabelText("Importar el historial de Cursor"));
-  await user.selectOptions(selector, "zh-CN");
+  await user.click(selector);
+  await user.click(screen.getByRole("option", { name: "简体中文" }));
   expect(screen.getByLabelText("导入 Cursor 历史")).toHaveProperty(
     "checked",
     true,

memhub/apps/web/src/OptionMenu.tsx

@@ -1,10 +1,11 @@
-import { useEffect, useRef, useState } from "react";
+import { useEffect, useId, useRef, useState } from "react";
 import { useGuiLanguage } from "./gui-language";
 
 export interface OptionMenuItem {
   value: string;
   label: string;
   disabled?: boolean;
+  lang?: string;
 }
 
 /** Replaces a native select so the open list follows the product field, not the OS menu. */
@@ -20,11 +21,50 @@ export function OptionMenu(props: {
   onChange: (value: string) => void;
 }) {
   const { t } = useGuiLanguage();
+  const generatedId = useId();
   const [open, setOpen] = useState(false);
+  const selectedIndex = props.options.findIndex(
+    (item) => item.value === props.value,
+  );
+  const firstEnabledIndex = props.options.findIndex((item) => !item.disabled);
+  const preferredIndex =
+    selectedIndex >= 0 && !props.options[selectedIndex]?.disabled
+      ? selectedIndex
+      : firstEnabledIndex;
+  const [activeIndex, setActiveIndex] = useState(preferredIndex);
   const root = useRef<HTMLDivElement>(null);
+  const button = useRef<HTMLButtonElement>(null);
   const selected = props.options.find((item) => item.value === props.value);
+  const visibleLabel = selected?.label ?? t("wb.select");
+  const controlId = props.id ?? `${generatedId}-control`;
+  const panelId = `${controlId}-options`;
+
+  function enabledIndex(from: number, direction: 1 | -1) {
+    if (firstEnabledIndex < 0) return -1;
+    let next = from;
+    for (let checked = 0; checked < props.options.length; checked += 1) {
+      next =
+        next < 0
+          ? direction === 1
+            ? 0
+            : props.options.length - 1
+          : (next + direction + props.options.length) % props.options.length;
+      if (!props.options[next]?.disabled) return next;
+    }
+    return -1;
+  }
+
+  function choose(index: number) {
+    const item = props.options[index];
+    if (!item || item.disabled) return;
+    props.onChange(item.value);
+    setOpen(false);
+    button.current?.focus();
+  }
+
   useEffect(() => {
     if (!open) return;
+    setActiveIndex(preferredIndex);
     const close = (event: MouseEvent) => {
       if (!root.current?.contains(event.target as Node)) setOpen(false);
     };
@@ -37,47 +77,98 @@ export function OptionMenu(props: {
       document.removeEventListener("mousedown", close);
       document.removeEventListener("keydown", onKey);
     };
-  }, [open]);
+  }, [open, preferredIndex]);
   return (
     <div
       className={["om-option-menu", props.className].filter(Boolean).join(" ")}
       ref={root}
     >
       <button
+        ref={button}
         type="button"
-        id={props.id}
+        id={controlId}
         value={props.value}
         className="om-option-menu-button"
+        role="combobox"
         aria-labelledby={props.labelledBy}
-        aria-label={props.ariaLabel}
+        aria-label={
+          props.ariaLabel ?? (props.labelledBy ? undefined : t("wb.select"))
+        }
         aria-describedby={props.describedBy}
         aria-haspopup="listbox"
         aria-expanded={open}
+        aria-controls={panelId}
+        aria-activedescendant={
+          open && activeIndex >= 0
+            ? `${panelId}-option-${activeIndex}`
+            : undefined
+        }
         disabled={props.disabled}
-        onClick={() => setOpen((current) => !current)}
+        onBlur={(event) => {
+          if (!root.current?.contains(event.relatedTarget as Node | null))
+            setOpen(false);
+        }}
+        onClick={() => {
+          if (preferredIndex < 0) return;
+          setActiveIndex(preferredIndex);
+          setOpen((current) => !current);
+        }}
         onKeyDown={(event) => {
-          if (event.key === "ArrowDown" || event.key === "Enter") {
+          if (event.key === "ArrowDown") {
             event.preventDefault();
-            setOpen(true);
+            if (!open) {
+              if (preferredIndex >= 0) {
+                setActiveIndex(preferredIndex);
+                setOpen(true);
+              }
+            } else {
+              setActiveIndex((current) => enabledIndex(current, 1));
+            }
+          } else if (event.key === "ArrowUp") {
+            event.preventDefault();
+            if (!open) {
+              if (preferredIndex >= 0) {
+                setActiveIndex(preferredIndex);
+                setOpen(true);
+              }
+            } else {
+              setActiveIndex((current) => enabledIndex(current, -1));
+            }
+          } else if (event.key === "Home" && open) {
+            event.preventDefault();
+            setActiveIndex(enabledIndex(-1, 1));
+          } else if (event.key === "End" && open) {
+            event.preventDefault();
+            setActiveIndex(enabledIndex(0, -1));
+          } else if (event.key === "Enter" || event.key === " ") {
+            event.preventDefault();
+            if (open) choose(activeIndex);
+            else if (preferredIndex >= 0) {
+              setActiveIndex(preferredIndex);
+              setOpen(true);
+            }
           }
         }}
       >
-        {selected?.label ?? t("wb.select")}
+        {visibleLabel}
       </button>
       {open && (
-        <div className="om-option-menu-panel" role="listbox">
-          {props.options.map((item) => (
+        <div id={panelId} className="om-option-menu-panel" role="listbox">
+          {props.options.map((item, index) => (
             <button
               key={item.value || item.label}
+              id={`${panelId}-option-${index}`}
               type="button"
               role="option"
+              lang={item.lang}
+              data-active={activeIndex === index || undefined}
               aria-selected={item.value === props.value}
               disabled={item.disabled}
-              onClick={() => {
-                if (item.disabled) return;
-                props.onChange(item.value);
-                setOpen(false);
+              tabIndex={-1}
+              onMouseEnter={() => {
+                if (!item.disabled) setActiveIndex(index);
               }}
+              onClick={() => choose(index)}
             >
               {item.label}
             </button>

memhub/apps/web/src/R6ColdStartFrame.test.tsx

@@ -99,7 +99,7 @@ it("keeps selection status outside decorative fades and readable when disabled",
   ).toMatch(/opacity:\s*1/);
 });
 
-it("keeps the native selector keyboard-focusable and switches both languages", async () => {
+it("keeps the product language menu keyboard-focusable and switches both languages", async () => {
   render(
     <LanguageProvider>
       <R6ColdStartFrame
@@ -116,17 +116,19 @@ it("keeps the native selector keyboard-focusable and switches both languages", a
   const selector = screen.getByRole("combobox");
   await user.tab();
   expect(document.activeElement).toBe(selector);
-  await user.selectOptions(selector, "es");
+  await user.click(selector);
+  await user.click(screen.getByRole("option", { name: "Español" }));
   expect(document.documentElement.lang).toBe("es");
   expect(screen.getByRole("combobox").getAttribute("id")).toBe(selector.id);
-  await user.selectOptions(selector, "zh-CN");
+  await user.click(selector);
+  await user.click(screen.getByRole("option", { name: "简体中文" }));
   expect(document.documentElement.lang).toBe("zh-CN");
   expect(screen.getByRole("combobox", { name: "界面语言" })).toBe(selector);
 });
 
 it.each([1, 2, 3] as const)(
   "offers a compact language selector on step %s",
-  (step) => {
+  async (step) => {
     render(
       <LanguageProvider>
         <R6ColdStartFrame
@@ -141,6 +143,7 @@ it.each([1, 2, 3] as const)(
     );
     const selector = screen.getByRole("combobox", { name: "界面语言" });
     expect(selector.closest(".r6-language-selector--compact")).toBeTruthy();
+    await userEvent.click(selector);
     expect(
       screen.getByRole("option", { name: "简体中文" }).getAttribute("lang"),
     ).toBe("zh-CN");

memhub/apps/web/src/R6Settings.test.tsx

@@ -27,7 +27,8 @@ it("changes settings copy live without rereading profiles or changing permission
     }),
   ).toBeNull();
   const reads = vi.mocked(getModelProfiles).mock.calls.length;
-  await user.selectOptions(screen.getByRole("combobox"), "zh-CN");
+  await user.click(screen.getByRole("combobox"));
+  await user.click(screen.getByRole("option", { name: "Chino simplificado" }));
   expect(await screen.findByRole("heading", { name: "记忆模型" })).toBeTruthy();
   expect(vi.mocked(getModelProfiles).mock.calls).toHaveLength(reads);
 });
@@ -66,7 +67,9 @@ vi.mock("./ModelSettings", async () => {
   };
 });
 vi.mock("./ConnectionFallback", () => ({
-  ConnectionFallback: () => null,
+  ConnectionFallback: ({ defaultExpanded }: { defaultExpanded?: boolean }) => (
+    <p data-testid="connection-default">{String(defaultExpanded)}</p>
+  ),
 }));
 vi.mock("./runtime-state", () => ({
   refreshLoginPreference: vi.fn(),
@@ -95,7 +98,11 @@ it("shows the help and diagnostics group by default and hides it when opted out"
   const user = userEvent.setup();
   const view = render(<R6Settings onDiagnostics={vi.fn()} />);
   expect(screen.getByRole("combobox")).toBeTruthy();
+  await user.click(screen.getByRole("combobox"));
   expect(screen.getAllByRole("option")).toHaveLength(4);
+  await user.keyboard("{Escape}");
+  await user.click(screen.getByRole("button", { name: "连接其他应用" }));
+  expect(screen.getByTestId("connection-default").textContent).toBe("true");
   await user.click(screen.getByRole("button", { name: "帮助与诊断" }));
   expect(screen.getByRole("heading", { name: "帮助与诊断" })).toBeTruthy();
   expect(screen.getByRole("heading", { name: "导出日志" })).toBeTruthy();

memhub/apps/web/src/R6Settings.tsx

@@ -401,7 +401,7 @@ export function R6Settings({
             className="r6-settings-connections"
           >
             <h2>{text("连接其他应用")}</h2>
-            <ConnectionFallback />
+            <ConnectionFallback defaultExpanded />
           </section>
           {showDiagnostics && (
             <section

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

@@ -176,3 +176,41 @@ it("stamps today's source and conversation time without an evidence page", () =>
   expect(screen.getByText(/对话时间 今天 /)).toBeTruthy();
   expect(screen.queryByRole("button", { name: "查看原文" })).toBeNull();
 });
+it("shows an experience's conversation time when the SDK stored one", () => {
+  const today = new Date().toISOString();
+  render(
+    <SelectedMemoryDetail
+      detail={{
+        ...detail,
+        evidence: [],
+        sdk_status: "active",
+        source_id: "codebuddy",
+        sdk_memory_at: today,
+        sdk_created_at: today,
+        sdk_ref: { scene: "coding", kind: "experience", variant: "coding" },
+      }}
+      sources={[]}
+    />,
+  );
+  expect(screen.getByText(/对话时间 今天 /)).toBeTruthy();
+  expect(screen.queryByText(/时间未知/)).toBeNull();
+});
+it("labels an experience without a conversation time by its write time", () => {
+  render(
+    <SelectedMemoryDetail
+      detail={{
+        ...detail,
+        evidence: [],
+        sdk_status: "active",
+        source_id: "codebuddy",
+        sdk_memory_at: null,
+        sdk_created_at: new Date().toISOString(),
+        sdk_ref: { scene: "working", kind: "experience", variant: "working" },
+      }}
+      sources={[]}
+    />,
+  );
+  expect(screen.getByText(/来源 codebuddy · 写入时间 今天 /)).toBeTruthy();
+  expect(screen.queryByText(/对话时间/)).toBeNull();
+  expect(screen.queryByText(/时间未知/)).toBeNull();
+});

memhub/apps/web/src/SelectedMemoryDetail.tsx

@@ -19,7 +19,10 @@ export function SelectedMemoryDetail({
   detail: MemoryDetail;
   sources: SourceResponse[];
   /** D99: when the cited conversation happened, in the list's own terms. */
-  conversationAt?: { at: string; basis: "conversation" | "import" } | null;
+  conversationAt?: {
+    at: string;
+    basis: "conversation" | "import" | "write";
+  } | null;
 }) {
   const { locale, t } = useGuiLanguage();
   const memory = detail.memory;
@@ -42,6 +45,17 @@ export function SelectedMemoryDetail({
           ? t("selectedMemory.status.superseded")
           : t("selectedMemory.status.unknown");
   const sourceId = detail.source_id ?? evidence?.source_id;
+  const created = clockStamp(
+    detail.sdk_created_at ?? memory.updated_at,
+    locale,
+  );
+  // An SDK experience or fact stored before hy-memory 2.0.7 has no
+  // conversation time. It shows when it was written, named as such, instead
+  // of "时间未知".
+  const writtenOnly =
+    detail.sdk_ref !== undefined &&
+    detail.sdk_ref.kind !== "chat" &&
+    !detail.sdk_memory_at;
   const source =
     detail.sdk_status && sourceId === UNATTRIBUTED_SOURCE_ID
       ? t("selectedMemory.sourceUnattributed")
@@ -77,25 +91,28 @@ export function SelectedMemoryDetail({
         <p className="selected-memory-source">
           {t("selectedMemory.sourceLine", {
             source,
-            time: clockStamp(
-              detail.sdk_memory_at ?? evidence?.created_at,
-              locale,
-            ),
+            time: writtenOnly
+              ? t("selectedMemory.writeTime", { created })
+              : clockStamp(
+                  detail.sdk_memory_at ?? evidence?.created_at,
+                  locale,
+                ),
           })}
         </p>
       ) : null}
-      <p className="selected-memory-times">
-        {t("selectedMemory.timestamps", {
-          conversation: clockStamp(
-            conversationAt?.at ?? detail.sdk_memory_at ?? evidence?.created_at,
-            locale,
-          ),
-          created: clockStamp(
-            detail.sdk_created_at ?? memory.updated_at,
-            locale,
-          ),
-        })}
-      </p>
+      {writtenOnly ? null : (
+        <p className="selected-memory-times">
+          {t("selectedMemory.timestamps", {
+            conversation: clockStamp(
+              conversationAt?.at ??
+                detail.sdk_memory_at ??
+                evidence?.created_at,
+              locale,
+            ),
+            created,
+          })}
+        </p>
+      )}
     </article>
   );
 }

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

@@ -14,16 +14,20 @@ import { LANGUAGE_STORAGE_KEY, LanguageProvider } from "./gui-language";
 import { OptionMenu } from "./OptionMenu";
 import { Answer, NodeDetail } from "./Workbench";
 
-it("localiza la selección vacía del menú auxiliar", () => {
+it("localiza y mantiene cerrado el menú auxiliar sin opciones", async () => {
   window.localStorage.setItem(LANGUAGE_STORAGE_KEY, "es");
   render(
     <LanguageProvider>
       <OptionMenu value="" options={[]} onChange={vi.fn()} />
     </LanguageProvider>,
   );
-  expect(
-    screen.getByRole("button", { name: "Selecciona una opción" }),
-  ).toBeTruthy();
+  const menu = screen.getByRole("combobox", {
+    name: "Selecciona una opción",
+  });
+  menu.focus();
+  await userEvent.keyboard("{Enter}{ArrowDown}");
+  expect(menu.getAttribute("aria-expanded")).toBe("false");
+  expect(menu.getAttribute("aria-activedescendant")).toBeNull();
   window.localStorage.removeItem(LANGUAGE_STORAGE_KEY);
 });
 

memhub/apps/web/src/core-visual.css

@@ -1086,8 +1086,9 @@ button.map-tool {
   border-radius: 6px;
 }
 .map-inspector {
-  overflow-y: auto;
-  overscroll-behavior: contain;
+  display: flex;
+  flex-direction: column;
+  overflow: hidden;
   padding: 24px;
   background: var(--glass-drawer);
   border-left: 1px solid var(--bd);
@@ -1095,10 +1096,19 @@ button.map-tool {
 }
 .map-inspector-heading {
   display: flex;
+  flex: none;
   justify-content: space-between;
   align-items: center;
   margin-bottom: 22px;
 }
+.map-inspector-body {
+  flex: 1;
+  min-height: 0;
+  overflow-y: auto;
+  overflow-anchor: none;
+  overscroll-behavior: contain;
+  scrollbar-gutter: stable;
+}
 .map-inspector-heading h2 {
   font-size: 13px;
   font-weight: 600;

memhub/apps/web/src/onboarding-r6.css

@@ -55,18 +55,29 @@
   gap: 6px 10px;
   font-size: 12px;
 }
-.onboarding-r6-titlebar select {
+.onboarding-r6-titlebar .r6-language-option-menu {
+  width: 144px;
+  max-width: 100%;
+}
+.onboarding-r6-titlebar .r6-language-option-menu .om-option-menu-button {
+  height: 32px;
   min-width: 0;
   max-width: 100%;
   min-height: 32px;
-  padding: 4px 8px;
+  padding: 4px 32px 4px 10px;
   border: 1px solid #9badbd;
   border-radius: 8px;
   color: inherit;
   background: #f7fafc;
   font: inherit;
 }
-.onboarding-r6-titlebar select:focus-visible {
+.onboarding-r6-titlebar .r6-language-option-menu .om-option-menu-button::after {
+  top: 10px;
+  right: 11px;
+}
+.onboarding-r6-titlebar
+  .r6-language-option-menu
+  .om-option-menu-button:focus-visible {
   outline: 2px solid #356d99;
   outline-offset: 2px;
 }

memhub/apps/web/src/r6-settings.css

@@ -1,8 +1,8 @@
 /* R6 source 139:5728 / 6765 / 7176 / 7585. Overrides stay inside settings. */
 .r6-settings {
   box-sizing: border-box;
-  padding: 26px 40px 46px;
-  color: #262a2e;
+  padding: 30px 40px 48px;
+  color: #304757;
   min-width: 0;
   width: 100%;
   flex: 1;
@@ -10,161 +10,230 @@
   letter-spacing: 0;
 }
 .r6-settings > h1 {
-  height: 44px;
+  height: auto;
   font:
-    500 28px / 44px "Noto Sans SC",
+    600 26px / 36px "Noto Sans SC",
     "PingFang SC",
     sans-serif;
-  margin: 0 0 28px;
+  margin: 0 0 22px;
 }
 .r6-settings .r6-language-setting {
-  margin-bottom: 24px;
+  position: relative;
+  z-index: 2;
+  margin-bottom: 20px;
   padding: 20px 24px;
-  border: 1px solid #dce4eb;
-  border-radius: 16px;
-  background: #fff;
+  border: 1px solid #d5dfe8;
+  border-radius: 12px;
+  background: rgb(255 255 255 / 78%);
 }
 .r6-language-setting-title {
-  margin: 0 0 18px;
-  font-size: 18px;
-  line-height: 28px;
+  margin: 0 0 14px;
+  font-size: 16px;
+  font-weight: 600;
+  line-height: 26px;
 }
 .r6-settings .r6-language-setting-row {
   display: grid;
-  grid-template-columns: 96px minmax(0, 1fr);
+  grid-template-columns: 104px minmax(0, 1fr);
   align-items: center;
   gap: 16px;
   min-height: 44px;
 }
 .r6-settings .r6-language-setting-row label {
   min-width: 0;
-  font-size: 14px;
-  line-height: 24px;
+  color: #4f6373;
+  font-size: 13px;
+  font-weight: 500;
+  line-height: 22px;
   white-space: nowrap;
 }
-.r6-settings .r6-language-setting select {
-  box-sizing: border-box;
+.r6-settings .r6-language-option-menu {
   width: 100%;
-  max-width: 100%;
   min-width: 0;
-  min-height: 44px;
-  padding: 8px 12px;
-  border: 1px solid #dce4eb;
-  border-radius: 8px;
-  color: inherit;
-  background: #fff;
-  font: inherit;
 }
-.r6-settings .r6-language-setting select:focus-visible {
-  outline: 2px solid #225f9d;
+.r6-settings .r6-language-option-menu .om-option-menu-button {
+  height: 44px;
+  min-height: 44px;
+  padding: 0 42px 0 14px;
+  border: 1px solid #c6d2da;
+  border-radius: 8px;
+  color: #304757;
+  background: #fff;
+  font-size: 13px;
+  line-height: 22px;
+}
+.r6-settings .r6-language-option-menu .om-option-menu-button::after {
+  top: 16px;
+  right: 16px;
+}
+.r6-settings
+  .r6-language-option-menu
+  .om-option-menu-button[aria-expanded="true"] {
+  border-color: #7892a6;
+  box-shadow: 0 0 0 3px rgb(85 124 147 / 12%);
+}
+.r6-settings .r6-language-option-menu .om-option-menu-panel {
+  top: calc(100% + 6px);
+  padding: 6px;
+  border-color: #c6d2da;
+  box-shadow: 0 12px 32px rgb(48 71 87 / 13%);
+}
+.r6-settings .r6-language-option-menu .om-option-menu-panel [role="option"] {
+  min-height: 38px;
+  padding: 8px 10px;
+  color: #304757;
+  font-size: 13px;
+  line-height: 22px;
+}
+.r6-settings
+  .r6-language-option-menu
+  .om-option-menu-panel
+  [role="option"][aria-selected="true"] {
+  background: #dfe9ef;
+  font-weight: 500;
+}
+.r6-settings
+  .r6-language-option-menu
+  .om-option-menu-panel
+  [role="option"][data-active="true"] {
+  color: #304757;
+  background: #e9f0f4;
+}
+.r6-settings
+  .r6-language-option-menu
+  .om-option-menu-panel
+  [role="option"]:active:not(:disabled) {
+  color: #304757;
+  background: #d4e2ea;
+}
+.r6-settings .r6-language-option-menu .om-option-menu-button:focus-visible {
+  outline: 2px solid #557c93;
   outline-offset: 2px;
 }
 .r6-language-setting-description {
-  margin: 16px 0 0;
+  margin: 12px 0 0 120px;
   color: #5e6e7a;
   font-size: 13px;
-  line-height: 22px;
+  line-height: 21px;
   overflow-wrap: anywhere;
 }
 .r6-settings .r6-settings-layout {
   display: grid;
-  grid-template-columns: 220px minmax(0, 1fr);
-  gap: 24px;
-  align-items: start;
+  grid-template-columns: 190px minmax(0, 1fr);
+  gap: 0;
+  align-items: stretch;
+  border: 1px solid #d5dfe8;
+  border-radius: 12px;
+  background: #fff;
 }
 .r6-settings .r6-settings-layout > nav {
   box-sizing: border-box;
-  min-height: 710px;
-  padding: 13px 11px;
-  background: rgb(255 255 255 / 27.45%);
-  border: 1px solid white;
-  border-radius: 16px;
-  box-shadow: inset 0 1px white;
-  backdrop-filter: blur(72px);
+  min-height: 560px;
+  padding: 16px 12px;
+  background: #f3f7f9;
+  border: 0;
+  border-right: 1px solid #d5dfe8;
+  border-radius: 11px 0 0 11px;
+  box-shadow: none;
+  backdrop-filter: none;
   display: flex;
   flex-direction: column;
   align-items: stretch;
-  gap: 14px;
+  gap: 4px;
 }
 .r6-settings .r6-settings-layout > nav > button {
   box-sizing: border-box;
-  padding: 8px 16px;
+  padding: 8px 12px;
   height: auto;
-  min-height: 46px;
+  min-height: 42px;
   text-align: left;
   border: 0;
   border-radius: 8px;
   background: transparent;
-  color: #262a2e;
+  color: #405665;
   font:
-    400 16px / 28px "Noto Sans SC",
+    400 14px / 22px "Noto Sans SC",
     "PingFang SC",
     sans-serif;
   box-shadow: none;
   transform: none;
+  cursor: pointer;
   overflow: hidden;
   text-overflow: ellipsis;
   white-space: nowrap;
+  transition:
+    color 140ms ease-out,
+    background-color 140ms ease-out;
 }
 .r6-settings .r6-settings-layout > nav > button[aria-current="page"] {
-  background: #e1eaf0;
+  color: #304757;
+  background: #dfe9ef;
+  font-weight: 500;
 }
 .r6-settings .r6-settings-layout > nav > button:hover:not(:disabled) {
-  background: rgb(225 234 240 / 65%);
+  color: #304757;
+  background: #e9f0f4;
   transform: none;
 }
+.r6-settings .r6-settings-layout > nav > button:active:not(:disabled) {
+  color: #304757;
+  background: #d4e2ea;
+}
 .r6-settings .r6-settings-content {
   box-sizing: border-box;
   min-width: 0;
-  min-height: 710px;
-  padding: 25px 31px;
+  min-height: 560px;
+  padding: 28px 34px;
   background: #fff;
-  border: 1px solid #dce4eb;
-  border-radius: 16px;
+  border: 0;
+  border-radius: 0 11px 11px 0;
   overflow-wrap: anywhere;
 }
 .r6-settings .r6-settings-content > section[hidden] {
   display: none;
 }
 .r6-settings .r6-settings-content > section > h2 {
-  min-height: 36px;
+  min-height: 32px;
   font:
-    500 22px / 36px "Noto Sans SC",
+    600 20px / 32px "Noto Sans SC",
     "PingFang SC",
     sans-serif;
   margin: 0;
+  text-wrap: balance;
 }
 .r6-settings .r6-setting-row {
   box-sizing: border-box;
   display: flex;
-  align-items: flex-start;
+  align-items: center;
   justify-content: space-between;
-  gap: 24px;
-  padding: 30px 0 25px;
+  gap: 32px;
+  padding: 24px 0;
   border-bottom: 1px solid #d8e2ea;
-  min-height: 132px;
+  min-height: 108px;
 }
 .r6-settings .r6-setting-row > div {
   flex: 1;
   min-width: 0;
+  max-width: 68ch;
 }
 .r6-settings .r6-setting-row > button {
-  margin-top: 12px;
+  margin-top: 0;
   flex-shrink: 0;
 }
 .r6-settings .r6-setting-row h3 {
   font:
-    400 18px / 28px "Noto Sans SC",
+    500 16px / 26px "Noto Sans SC",
     "PingFang SC",
     sans-serif;
-  margin: 0 0 10px;
+  margin: 0 0 6px;
 }
 .r6-settings .r6-setting-row p {
-  font-size: 14px;
-  line-height: 26px;
-  color: #63707b;
+  font-size: 13px;
+  line-height: 23px;
+  color: #5e6e7a;
   margin: 0;
   overflow-wrap: anywhere;
+  text-wrap: pretty;
 }
 .r6-settings .r6-setting-row > span {
   font-size: 13px;
@@ -205,6 +274,97 @@
   font-size: 14px;
   color: #4f6373;
 }
+.r6-settings .connection-fallback {
+  margin: 22px 0 0;
+  padding: 0;
+  border: 0;
+}
+.r6-settings .connection-fallback summary {
+  width: fit-content;
+  min-height: 36px;
+  padding: 6px 8px;
+  margin-left: -8px;
+  border-radius: 6px;
+  color: #405665;
+  font-size: 14px;
+  font-weight: 500;
+  line-height: 24px;
+  transition:
+    color 140ms ease-out,
+    background-color 140ms ease-out;
+}
+.r6-settings .connection-fallback summary:hover {
+  color: #304757;
+  background: #e9f0f4;
+}
+.r6-settings .connection-fallback summary:active {
+  color: #304757;
+  background: #d4e2ea;
+}
+.r6-settings .connection-fallback .connection-boundary {
+  max-width: 68ch;
+  margin: 16px 0 20px;
+  color: #5e6e7a;
+  font-size: 13px;
+  line-height: 23px;
+  text-wrap: pretty;
+}
+.r6-settings .connection-fallback .custom-harness-name {
+  max-width: 560px;
+  gap: 8px;
+  margin: 0 0 14px;
+  color: #4f6373;
+  font-size: 13px;
+  font-weight: 500;
+}
+.r6-settings .connection-fallback .custom-harness-name input {
+  box-sizing: border-box;
+  width: 100%;
+  min-height: 44px;
+  padding: 10px 13px;
+  border: 1px solid #c6d2da;
+  border-radius: 8px;
+  background: #fff;
+  color: #304757;
+  font-size: 14px;
+}
+.r6-settings .connection-fallback .custom-harness-name input:hover {
+  border-color: #aabcc8;
+}
+.r6-settings .connection-fallback .custom-harness-name input:focus-visible {
+  outline: 2px solid #557c93;
+  outline-offset: 2px;
+}
+.r6-settings .connection-fallback > button:not(.quiet) {
+  min-height: 42px;
+  padding: 0 18px;
+  border: 1px solid #5b6f7e;
+  border-radius: 8px;
+  background: #4f6373;
+  color: #fff;
+  font-size: 13px;
+  font-weight: 500;
+  cursor: pointer;
+  transition:
+    background-color 140ms ease-out,
+    transform 90ms ease-out;
+}
+.r6-settings .connection-fallback > button:not(.quiet):hover:not(:disabled) {
+  border-color: #5b6f7e;
+  background: #435966;
+  color: #fff;
+}
+.r6-settings .connection-fallback > button:not(.quiet):active:not(:disabled) {
+  background: #3d4f5d;
+  color: #fff;
+  transform: scale(0.985);
+}
+.r6-settings .connection-fallback > button:not(.quiet):disabled {
+  border-color: #c6d2da;
+  background: #dbe4e9;
+  color: #647783;
+  cursor: default;
+}
 .r6-settings .r6-settings-error {
   color: #953f3f;
   font-size: 14px;
@@ -222,7 +382,7 @@
   line-height: 24px;
 }
 .r6-settings .r6-model-overview {
-  padding: 32px 0 24px;
+  padding: 26px 0 20px;
   border-bottom: 0;
 }
 .r6-settings .r6-model-caption {
@@ -233,7 +393,7 @@
 }
 .r6-settings .r6-current-model {
   font:
-    400 24px / 40px "Noto Sans SC",
+    500 22px / 34px "Noto Sans SC",
     "PingFang SC",
     sans-serif;
   margin: 0 0 7px;
@@ -363,23 +523,26 @@
 }
 .r6-settings .r6-settings-help .r6-setting-row {
   display: flex;
-  min-height: 132px;
-  padding: 30px 0 25px;
+  min-height: 108px;
+  padding: 24px 0;
   align-items: center;
   gap: 32px;
 }
 .r6-settings .r6-settings-help .r6-setting-row h3 {
-  font-size: 18px;
-  margin-bottom: 10px;
+  font-size: 16px;
+  margin-bottom: 6px;
 }
 .r6-settings .r6-settings-help .r6-setting-row p {
-  font-size: 14px;
+  font-size: 13px;
 }
-.r6-settings .r6-settings-help .r6-setting-row > button {
+.r6-settings .r6-settings-help .r6-setting-row > button:not(.r6-switch) {
   min-width: 132px;
   margin-top: 0;
   margin-left: auto;
 }
+.r6-settings .r6-settings-help .r6-setting-row > .r6-switch {
+  margin-left: auto;
+}
 .r6-settings .r6-settings-help .r6-settings-about {
   min-height: 0;
   padding-bottom: 24px;
@@ -534,10 +697,9 @@
   }
   .r6-settings .r6-settings-layout {
     grid-template-columns: 176px minmax(0, 1fr);
-    gap: 20px;
   }
   .r6-settings .r6-settings-content {
-    padding: 25px 23px;
+    padding: 26px 28px;
   }
   .r6-settings .r6-setting-row {
     flex-wrap: wrap;
@@ -559,6 +721,9 @@
     flex-direction: row;
     flex-wrap: wrap;
     gap: 8px;
+    border-right: 0;
+    border-bottom: 1px solid #d5dfe8;
+    border-radius: 11px 11px 0 0;
   }
   .r6-settings .r6-settings-layout > nav > button {
     font-size: 14px;
@@ -566,6 +731,18 @@
   .r6-settings .model-form {
     grid-template-columns: minmax(0, 1fr);
   }
+  .r6-settings .r6-settings-content {
+    min-height: 0;
+    padding: 24px 20px;
+    border-radius: 0 0 11px 11px;
+  }
+  .r6-settings .r6-language-setting-row {
+    grid-template-columns: minmax(0, 1fr);
+    gap: 8px;
+  }
+  .r6-language-setting-description {
+    margin-left: 0;
+  }
 }
 @media (prefers-reduced-transparency: reduce) {
   .r6-settings .r6-settings-layout > nav {

memhub/apps/web/src/sdk-memory-map.test.ts

@@ -119,8 +119,12 @@ it("carries each memory's scene and namespace, and edits an experience's solutio
   });
   expect(page.window_id).toBe("w1");
   expect(page.window_reset).toBe(true);
-  // An experience has no conversation time to show as "imported".
-  expect(page.source_time_by_memory?.e).toBeUndefined();
+  // Stored without a conversation time: it shows when it was written, not
+  // an "import".
+  expect(page.source_time_by_memory?.e).toEqual({
+    at: new Date((NOW - 86_400) * 1_000).toISOString(),
+    basis: "write",
+  });
   expect(page.items[1]).toMatchObject({
     kind: "working",
     updated_at: new Date((NOW - 3_600) * 1_000).toISOString(),
@@ -140,3 +144,29 @@ it("carries each memory's scene and namespace, and edits an experience's solutio
   expect(sdkEditableText(experience)).toBe("Pin seed");
   expect(sdkEditableText(record({}))).toBe("memory");
 });
+
+it("shows an experience's conversation time when the SDK stored one", () => {
+  const at = NOW - 2 * 86_400;
+  const experience = record({
+    memory_id: "e",
+    layer: "experience",
+    scene: "coding",
+    kind: "experience",
+    variant: "coding",
+    memory_at: at,
+    created_at: NOW - 3_600,
+  });
+  const page = sdkLibraryPage({
+    memories: [experience],
+    total: 1,
+    limit: 20,
+    offset: 0,
+  });
+  expect(page.source_time_by_memory?.e).toEqual({
+    at: new Date(at * 1_000).toISOString(),
+    basis: "conversation",
+  });
+  expect(sdkDetail(experience).sdk_memory_at).toBe(
+    new Date(at * 1_000).toISOString(),
+  );
+});

memhub/apps/web/src/sdk-memory-map.ts

@@ -154,22 +154,24 @@ export function sdkDetail(record: SdkMemoryRecord): MemoryDetail {
 export function sdkLibraryPage(page: SdkMemoryPage): MemoryLibraryPage {
   const sourceTime: Record<
     string,
-    { at: string; basis: "conversation" | "import" }
+    { at: string; basis: "conversation" | "import" | "write" }
   > = {};
   const sourceIds: Record<string, string[]> = {};
   const refs: Record<string, SdkMemoryRef> = {};
   for (const record of page.memories) {
     sourceIds[record.memory_id] = [sourceOf(record)];
     refs[record.memory_id] = sdkMemoryRef(record);
-    // An experience or fact has no conversation time; the list shows when it
-    // was last updated instead of calling its creation an import.
-    if (refs[record.memory_id].kind !== "chat") continue;
+    // An experience or fact stored before hy-memory 2.0.7 has no
+    // conversation time. It shows when it was written, labelled as such,
+    // rather than calling its creation an import.
+    const chat = refs[record.memory_id].kind === "chat";
     const conversation = plausible(record.memory_at);
-    const at = conversation ?? plausible(record.gmt_created);
+    const at =
+      conversation ?? plausible(chat ? record.gmt_created : record.created_at);
     if (at === null) continue;
     sourceTime[record.memory_id] = {
       at: new Date(at * 1_000).toISOString(),
-      basis: conversation !== null ? "conversation" : "import",
+      basis: conversation !== null ? "conversation" : chat ? "import" : "write",
     };
   }
   return {

memhub/apps/web/src/selected-memory.css

@@ -219,12 +219,14 @@
 }
 .r6-shell .r6-memory .map-inspector {
   padding: 14px 22px 24px;
-  background: rgb(255 255 255 / 30%);
+  background: #f2f6f8;
   border: 0;
   border-radius: 0;
-  overflow-y: auto;
-  overflow-anchor: none;
+  overflow: hidden;
   min-height: 0;
+  isolation: isolate;
+  backdrop-filter: none;
+  -webkit-backdrop-filter: none;
 }
 .r6-shell .r6-memory .map-inspector-heading {
   padding: 0;
@@ -498,11 +500,8 @@
     width: min(418px, calc(100vw - 32px));
   }
   .r6-shell .r6-memory .map-inspector-heading {
-    position: sticky;
-    top: -14px;
-    z-index: 1;
-    background: #eff5f8;
-    padding: 10px 0;
+    position: static;
+    padding: 0;
   }
   .selected-editor {
     padding-left: 0;

memhub/docs/ARCHITECTURE.md

@@ -282,7 +282,7 @@ Support is declared per immutable GitHub Release manifest:
 - Linux x64/arm64 Runtime on native GHA runners.
 - macOS arm64/x64 App/Runtime: Developer ID, notarization, native acceptance.
 - Windows is not supported.
-- `hy-memory==2.0.6` is the current stable SDK dependency; the release
+- `hy-memory==2.0.7` is the current stable SDK dependency; the release
   lock and [`../MEMORY.md`](../MEMORY.md) are authoritative when the pin changes.
 
 See [`INSTALLATION.md`](INSTALLATION.md).

memhub/package.json

@@ -2,7 +2,7 @@
   "name": "one-memory",
   "version": "1.0.5",
   "release": {
-    "build_number": 32,
+    "build_number": 34,
     "macos_min_version": "13.0",
     "app_update": "manual",
     "runtime_manifest_schema": 1,

memhub/packages/contracts/src/index.ts

@@ -468,10 +468,12 @@ export interface MemoryLibraryPage {
   limit: number;
   /** Active evidence sources for each returned memory, from the same authorized page snapshot. */
   source_ids_by_memory?: Record<string, string[]>;
-  /** When each returned memory's cited conversation happened (D96). `import` when only the import time is known. */
+  /** When each returned memory's cited conversation happened (D96). `import`
+   * when only the import time is known; `write` for an SDK experience or fact
+   * stored without a conversation time, which shows when it was written. */
   source_time_by_memory?: Record<
     string,
-    { at: string; basis: "conversation" | "import" }
+    { at: string; basis: "conversation" | "import" | "write" }
   >;
   /** True when the read budget ran out mid-page (typically during a history
    * import): a partial snapshot, not an authoritative view. Show "importing"

memhub/packages/i18n/src/gui-i18n-current.ts

@@ -108,6 +108,7 @@ export const currentChineseMessages = {
   "selectedMemory.version": "第 {revision} 版",
   "selectedMemory.sourceLine": "来源 {source} · {time}",
   "selectedMemory.timestamps": "对话时间 {conversation} · 沉淀时间 {created}",
+  "selectedMemory.writeTime": "写入时间 {created}",
   "selectedMemory.edit": "编辑",
   "selectedMemory.evidence": "原始依据",
   "selectedMemory.evidenceLine": "{author} · 原对话 {time}：",
@@ -258,6 +259,7 @@ export const currentEnglishMessages: Record<
   "selectedMemory.sourceLine": "Source {source} · {time}",
   "selectedMemory.timestamps":
     "Conversation time {conversation} · Created {created}",
+  "selectedMemory.writeTime": "Written {created}",
   "selectedMemory.edit": "Edit",
   "selectedMemory.evidence": "Original evidence",
   "selectedMemory.evidenceLine": "{author} · Original conversation {time}:",
@@ -418,6 +420,7 @@ export const currentSpanishMessages: Record<
   "selectedMemory.sourceLine": "Origen {source} · {time}",
   "selectedMemory.timestamps":
     "Conversación {conversation} · Guardada {created}",
+  "selectedMemory.writeTime": "Escrita {created}",
   "selectedMemory.edit": "Editar",
   "selectedMemory.evidence": "Evidencia original",
   "selectedMemory.evidenceLine": "{author} · Conversación original {time}:",

memhub/packages/i18n/src/gui-i18n-english.ts

@@ -1774,6 +1774,7 @@ const baseEnglishMessages = {
     " · Import count is still updating; refresh to check",
   "memory:对话于 {day}": "Conversation on {day}",
   "memory:导入于 {day}": "Imported on {day}",
+  "memory:写入于 {day}": "Written on {day}",
   "memory:已开始处理所选对话": "Processing selected conversations",
   "memory:处理请求已受理": "Processing request received",
   "memory:模型连接已通过。首批记忆生成后，会逐步出现在记忆列表里。":
@@ -1809,8 +1810,7 @@ const baseEnglishMessages = {
     "{count} memories created{filter} · Showing {shown}",
   "memory:（{filter}）": " ({filter})",
   "memory:第 {page} 页": "Page {page}",
-  "memory:原话已保存，正在等待整理：":
-    "Original text saved, awaiting processing: ",
+  "memory:正在等待整理：": "Awaiting processing: ",
   "memory:记忆未在生成": "Memories are not being created",
   "memory:还没有开始生成记忆：{reason}（{count} 条待处理）":
     "Memories are not being created: {reason} ({count} pending)",

memhub/packages/i18n/src/gui-i18n-memory.ts

@@ -336,6 +336,7 @@ export const memoryChineseMessages = {
   "memory: · 导入数量仍在更新，可刷新核对": " · 导入数量仍在更新，可刷新核对",
   "memory:对话于 {day}": "对话于 {day}",
   "memory:导入于 {day}": "导入于 {day}",
+  "memory:写入于 {day}": "写入于 {day}",
   "memory:已开始处理所选对话": "已开始处理所选对话",
   "memory:处理请求已受理": "处理请求已受理",
   "memory:模型连接已通过。首批记忆生成后，会逐步出现在记忆列表里。":
@@ -370,7 +371,7 @@ export const memoryChineseMessages = {
     "已沉淀 {count} 条{filter} · 当前展示 {shown} 条",
   "memory:（{filter}）": "（{filter}）",
   "memory:第 {page} 页": "第 {page} 页",
-  "memory:原话已保存，正在等待整理：": "原话已保存，正在等待整理：",
+  "memory:正在等待整理：": "正在等待整理：",
   "memory:记忆未在生成": "记忆未在生成",
   "memory:还没有开始生成记忆：{reason}（{count} 条待处理）":
     "还没有开始生成记忆：{reason}（{count} 条待处理）",
@@ -750,6 +751,7 @@ export const memorySpanishMessages: Record<
     " · La importación continúa; actualiza para verificar",
   "memory:对话于 {day}": "Conversación del {day}",
   "memory:导入于 {day}": "Importada el {day}",
+  "memory:写入于 {day}": "Escrita el {day}",
   "memory:已开始处理所选对话": "Procesamiento de conversaciones iniciado",
   "memory:处理请求已受理": "Solicitud de procesamiento aceptada",
   "memory:模型连接已通过。首批记忆生成后，会逐步出现在记忆列表里。":
@@ -786,8 +788,7 @@ export const memorySpanishMessages: Record<
     "{count} memoria guardada{filter} · {shown} visibles",
   "memory:（{filter}）": " ({filter})",
   "memory:第 {page} 页": "Página {page}",
-  "memory:原话已保存，正在等待整理：":
-    "Texto guardado; pendiente de procesar: ",
+  "memory:正在等待整理：": "Pendiente de procesar: ",
   "memory:记忆未在生成": "Generación de memorias detenida",
   "memory:还没有开始生成记忆：{reason}（{count} 条待处理）":
     "Aún no se generan memorias: {reason} ({count} pendientes)",

memhub/scripts/generate_sbom.py

@@ -36,7 +36,7 @@ MEMMY_LICENSE = (
 MEMMY_PROVENANCE = MEMMY_LICENSE.with_name("PROVENANCE.md")
 MEMMY_PIN = "25acd5f29fc7df73b943713abe61f1b2f9839887"
 HY_MEMORY_NAME = "hy-memory"
-HY_MEMORY_VERSION = "2.0.6"
+HY_MEMORY_VERSION = "2.0.7"
 
 
 class SbomError(RuntimeError):

memhub/scripts/install-docs.test.mjs

@@ -12,7 +12,7 @@ test("installation docs disclose publication and lifecycle boundaries", async ()
     "utf8",
   );
 
-  assert.match(readme, /`hy-memory==2\.0\.6`/);
+  assert.match(readme, /`hy-memory==2\.0\.7`/);
   assert.match(readme, /`v1\.0\.5` 的发行目标是 Linux x64\/arm64 Runtime/);
   assert.match(readme, /Linux 制品由 GitHub Actions/);
   assert.match(readme, /macOS.*Developer ID 签名、公证/s);

memhub/scripts/test_generate_sbom.py

@@ -13,7 +13,7 @@ spec.loader.exec_module(module)
 
 
 def test_hy_memory_notice_comes_from_the_installed_dist_info(tmp_path: Path) -> None:
-    dist_info = tmp_path / "hy_memory-2.0.6.dist-info"
+    dist_info = tmp_path / "hy_memory-2.0.7.dist-info"
     licenses = dist_info / "licenses"
     licenses.mkdir(parents=True)
     (dist_info / "METADATA").write_text(
@@ -21,7 +21,7 @@ def test_hy_memory_notice_comes_from_the_installed_dist_info(tmp_path: Path) ->
             (
                 "Metadata-Version: 2.4",
                 "Name: hy-memory",
-                "Version: 2.0.6",
+                "Version: 2.0.7",
                 "License-Expression: Apache-2.0",
                 "",
             )
@@ -38,7 +38,7 @@ def test_hy_memory_notice_comes_from_the_installed_dist_info(tmp_path: Path) ->
     notice = module.hy_memory_notice(dist_info)
 
     assert notice["name"] == "hy-memory"
-    assert notice["version"] == "2.0.6"
+    assert notice["version"] == "2.0.7"
     assert notice["license"] == "Apache-2.0"
     assert notice["copyright"] == "Copyright (C) 2026 Tencent. All rights reserved."
     assert "Licensed under the Apache License" in notice["text"]

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "hy-memory"
-version = "2.0.6"
+version = "2.0.7"
 description = "HY Memory - Industrial-grade dual-system cognitive memory framework"
 readme = "README.md"
 requires-python = ">=3.9"

tests/coding/test_memory_at.py

@@ -0,0 +1,229 @@
+# -*- coding: utf-8 -*-
+"""经验与事实记下对话时间 memory_at，并以秒级 epoch 对外返回（与 chat 一致）。
+
+之前生产力链路丢了 add() 传进来的 memory_at，coding_memory_meta / working_fact
+也没有这一列，MemHub 里所有经验都显示"时间未知"。
+"""
+
+import sqlite3
+import time
+from datetime import datetime, timedelta, timezone
+from types import SimpleNamespace
+
+import pytest
+
+from hy_memory.client import HyMemoryClient
+from hy_memory.coding.extractor import CodingMemoryExtractor
+from hy_memory.coding.reconciler import CodingMemoryReconciler
+from hy_memory.coding.store import CodingMemoryStore, _CREATE_TABLE_SQL, _CREATE_FACT_TABLE_SQL
+from hy_memory.coding.types import CodingMemory, WorkingFact
+from hy_memory.coding.writer import CodingWriter
+
+from tests.coding._helpers import MockLLMProvider
+from tests.coding.test_list_and_stats_by_scene import _client, _unwrapped
+from tests.coding.test_write_scene_routing import _messages
+from tests.coding.test_writer_e2e import _coding_messages, _extract_resp, _reconcile_resp
+
+T1 = datetime(2026, 10, 1, 9, 30, tzinfo=timezone.utc)
+T2 = T1 + timedelta(days=3)
+
+
+def _epoch(value: datetime) -> int:
+    return int(value.timestamp())
+
+
+def _writer(store, embed, llm):
+    return CodingWriter(
+        store=store,
+        extractor=CodingMemoryExtractor(llm),
+        reconciler=CodingMemoryReconciler(store, embed, llm),
+        llm_provider=llm, embed_service=embed,
+    )
+
+
+@pytest.mark.asyncio
+class TestStore:
+    async def test_round_trip_as_epoch(self, coding_store):
+        await coding_store.insert(CodingMemory(
+            experience_id="e1", user_id="u", task="T", solution="S", memory_at=T1,
+        ))
+        await coding_store.insert_fact(WorkingFact(
+            fact_id="f1", user_id="u", statement="x", memory_at=T1,
+        ))
+        exp = await coding_store.get_by_id("e1", user_id="u")
+        fact = await coding_store.get_fact("f1", user_id="u")
+        assert _epoch(exp.memory_at) == _epoch(T1)
+        assert exp.to_dict()["memory_at"] == _epoch(T1)
+        assert fact.to_dict()["memory_at"] == _epoch(T1)
+
+    async def test_missing_time_stays_unknown(self, coding_store):
+        await coding_store.insert(CodingMemory(
+            experience_id="e1", user_id="u", task="T", solution="S",
+        ))
+        exp = await coding_store.get_by_id("e1", user_id="u")
+        assert exp.memory_at is None and exp.to_dict()["memory_at"] is None
+
+    @pytest.mark.parametrize("old, new", [(T1, T2), (T2, T1), (T2, None)])
+    async def test_update_keeps_the_later_time(self, coding_store, old, new):
+        await coding_store.insert(CodingMemory(
+            experience_id="e1", user_id="u", task="T", solution="S",
+            session_id="s", memory_at=old,
+        ))
+        await coding_store.update(CodingMemory(
+            experience_id="e1", user_id="u", task="T", solution="S2",
+            session_id="s", memory_at=new,
+        ))
+        exp = await coding_store.get_by_id("e1", user_id="u")
+        assert exp.solution == "S2"
+        assert _epoch(exp.memory_at) == _epoch(T2)
+
+    async def test_edit_keeps_the_time(self, coding_store):
+        await coding_store.insert(CodingMemory(
+            experience_id="e1", user_id="u", task="T", solution="S", memory_at=T1,
+        ))
+        await coding_store.edit_experience("e1", user_id="u", solution="S2")
+        exp = await coding_store.get_by_id("e1", user_id="u")
+        assert _epoch(exp.memory_at) == _epoch(T1)
+
+
+@pytest.mark.asyncio
+@pytest.mark.parametrize("variant", ["working", "coding"])
+async def test_existing_database_gains_the_column_on_open(coding_config, mock_embed, variant):
+    store = CodingMemoryStore(coding_config, embed_service=mock_embed, variant=variant)
+    # 先按老 schema（没有 memory_at）建库并放一行
+    conn = sqlite3.connect(store._db_path)
+    conn.executescript(_CREATE_TABLE_SQL.replace("    memory_at        INTEGER,\n", ""))
+    conn.executescript(_CREATE_FACT_TABLE_SQL.replace("    memory_at              INTEGER,\n", ""))
+    conn.execute(
+        "INSERT INTO coding_memory_meta (experience_id, user_id, task, solution, "
+        "created_at, updated_at) VALUES ('old', 'u', 'T', 'S', '2026-01-01T00:00:00', "
+        "'2026-01-01T00:00:00')"
+    )
+    conn.commit()
+    conn.close()
+
+    await store.initialize()
+    try:
+        old = await store.get_by_id("old", user_id="u")
+        assert old is not None and old.memory_at is None
+        await store.insert_fact(WorkingFact(
+            fact_id="f1", user_id="u", statement="x", memory_at=T1,
+        ))
+        assert _epoch((await store.get_fact("f1")).memory_at) == _epoch(T1)
+    finally:
+        await store.close()
+    # 再开一次不出错（ADD COLUMN 是幂等的）
+    again = CodingMemoryStore(coding_config, embed_service=mock_embed, variant=variant)
+    await again.initialize()
+    await again.close()
+
+
+@pytest.mark.asyncio
+class TestWriter:
+    def _llm(self):
+        return MockLLMProvider([
+            _extract_resp(
+                [{"task": "打包发布", "solution": "S", "confidence": 0.9}],
+                [{"statement": "发布脚本在 scripts/publish_package.sh"}],
+            ),
+            _reconcile_resp([{"draft_idx": 0, "action": "ADD"}]),
+        ])
+
+    async def test_conversation_time_reaches_both_layers(self, coding_store, mock_embed):
+        resp = await _writer(coding_store, mock_embed, self._llm()).write(
+            _coding_messages(), user_id="u", session_id="s", memory_at=T1,
+        )
+        exp = await coding_store.get_by_id(resp["experience_ids"][0], user_id="u")
+        fact = await coding_store.get_fact(resp["fact_ids"][0], user_id="u")
+        assert _epoch(exp.memory_at) == _epoch(T1)
+        assert _epoch(fact.memory_at) == _epoch(T1)
+
+    async def test_defaults_to_request_time_like_chat(self, coding_store, mock_embed):
+        before = int(time.time())
+        resp = await _writer(coding_store, mock_embed, self._llm()).write(
+            _coding_messages(), user_id="u", session_id="s",
+        )
+        exp = await coding_store.get_by_id(resp["experience_ids"][0], user_id="u")
+        fact = await coding_store.get_fact(resp["fact_ids"][0], user_id="u")
+        for stamp in (_epoch(exp.memory_at), _epoch(fact.memory_at)):
+            assert before <= stamp <= int(time.time()) + 1
+
+
+@pytest.mark.asyncio
+async def test_add_passes_the_time_to_the_productivity_writer(monkeypatch):
+    seen = {}
+
+    async def _judge(*args, **kwargs):
+        return "working"
+
+    class _Writer:
+        async def write(self, *args, **kwargs):
+            seen.update(kwargs)
+            return {"success": True, "experience_ids": [], "fact_ids": []}
+
+    async def _get_writer(*, variant):
+        return _Writer()
+
+    monkeypatch.setattr("hy_memory.client.classify_messages_scene", _judge)
+    ns = SimpleNamespace(
+        _config=SimpleNamespace(coding=SimpleNamespace(enable=True)),
+        _coding_llm_provider=object(),
+        _cache=None,
+        _get_coding_writer=_get_writer,
+        _normalize_scene=HyMemoryClient._normalize_scene,
+        _scene_variant=HyMemoryClient._scene_variant,
+        _parse_input=HyMemoryClient._parse_input,
+    )
+    await HyMemoryClient._async_add_impl(
+        ns, _messages(), user_id="u1", agent_id="a1", memory_at=T1,
+    )
+    assert seen["memory_at"] == T1
+
+
+@pytest.mark.asyncio
+async def test_list_get_and_search_return_epoch_seconds(coding_config, mock_embed):
+    coding = CodingMemoryStore(coding_config, embed_service=mock_embed, variant="coding")
+    await coding.initialize()
+    try:
+        await coding.insert(CodingMemory(
+            experience_id="e1", user_id="u", task="打包发布", solution="S", memory_at=T1,
+        ))
+        await coding.insert_fact(WorkingFact(
+            fact_id="f1", user_id="u", statement="打包发布", memory_at=T2,
+            derived_experience_ids=["e1"],
+        ))
+        client = _client([], {"coding": coding})
+        list_memories = _unwrapped("async_list_memories")
+
+        page = await list_memories(client, user_id="u", scene="coding")
+        assert page["experiences"][0]["memory_at"] == _epoch(T1)
+
+        merged = await list_memories(client, user_id="u", scene="all")
+        assert merged["memories"][0]["memory_at"] == _epoch(T1)
+
+        exp = await coding.get_by_id("e1", user_id="u")
+        got = HyMemoryClient._format_productivity_get(
+            exp, kind="experience", variant="coding", request_id="r", elapsed_ms=0,
+        )
+        assert got["memory_at"] == _epoch(T1)
+
+        client._embed_service = mock_embed
+        client._coding_store = coding
+
+        async def _ready(variant="working"):
+            return None
+
+        client._get_coding_writer = _ready
+        client._cache = None
+        resp = await HyMemoryClient._search_coding(
+            client, target_query="打包发布", user_ids=["u"], workspace_id=None,
+            branch=None, limit=5, working_fact_min_score=0.0,
+            working_experience_min_score=0.0, request_id="r",
+            t0=time.perf_counter(), variant="coding",
+        )
+        assert resp["facts"][0]["memory_at"] == _epoch(T2)
+        assert resp["experiences"][0]["memory_at"] == _epoch(T1)
+        unified = HyMemoryClient._search_lane_items("coding", resp)
+        assert {item["memory_at"] for item in unified} == {_epoch(T1), _epoch(T2)}
+    finally:
+        await coding.close()