fix(web): expand settings controls to content width

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

CHANGELOG.md

@@ -83,7 +83,7 @@ Hy Memory and MemHub are versioned and released independently.
 
 ## MemHub 1.0.6 — 2026-11-02
 
-Build 39, on `hy-memory==2.0.13`. Linux x64/arm64 Runtime and macOS arm64
+Build 40, on `hy-memory==2.0.13`. Linux x64/arm64 Runtime and macOS arm64
 App and Runtime.
 
 - Interfaces in 11 languages: English, Simplified and Traditional Chinese,

hy_memory/client.py

@@ -1864,6 +1864,7 @@ class HyMemoryClient:
         branch: Optional[str] = None,
         request_id: Optional[str] = None,
         layers: Optional[List[Any]] = None,
+        statuses: Optional[List[Any]] = None,
         embed_override: Optional[Dict[str, Any]] = None,
         query_embedding: Optional[List[float]] = None,
         rerank: bool = True,
@@ -1956,6 +1957,8 @@ class HyMemoryClient:
             layers:             可选。pro/ultra 下只召回指定层级（字符串或
                                 MemoryLayer），在召回阶段生效。lite 下忽略该参数并
                                 强制只召回 L1_RAW。
+            statuses:           仅用于 L1_RAW 定向搜索，可显式包含 active / shadow。
+                                非 raw 搜索或 scene="all" 传入时拒绝，避免静默忽略。
             rerank:             默认 True（原行为）。False 时本次调用跳过全部重排阶段：
                                 chat 路的本地 cross-encoder 重排（recall.local_rerank_enabled）
                                 与记忆关系图重排（graph_rerank / episode 扩展），working/
@@ -1999,7 +2002,7 @@ class HyMemoryClient:
             intention_limit=intention_limit, created_after=created_after,
             reader=reader,
             workspace_id=workspace_id, branch=branch,
-            request_id=request_id, layers=layers,
+            request_id=request_id, layers=layers, statuses=statuses,
             embed_override=embed_override,
             query_embedding=query_embedding,
             rerank=rerank,
@@ -3387,12 +3390,14 @@ class HyMemoryClient:
         request_id: str,
         t0: float,
         query_embedding: Optional[List[float]],
+        statuses: Optional[List[Any]],
     ) -> Dict[str, Any]:
         """Implement `search(..., layers=['l1_raw'])` without a second API."""
         from .models.memory import MemoryLayer, MemoryStatus
 
         embedding = query_embedding or await self._embed_service.embed(query)
         fetch = min(max(limit * (10 if session_ids else 2), limit), 10_000)
+        status_filter = self._normalize_statuses(statuses) or [MemoryStatus.ACTIVE]
         hits = await self._vector_store.search(
             query_embedding=embedding,
             user_ids=user_ids,
@@ -3402,7 +3407,7 @@ class HyMemoryClient:
             layers=[MemoryLayer.L1_RAW],
             limit=fetch,
             score_threshold=min_score,
-            status_filter=[MemoryStatus.ACTIVE],
+            status_filter=status_filter,
             only_latest=False,
             created_after=created_after,
         )
@@ -3420,7 +3425,7 @@ class HyMemoryClient:
                     "memory_id": row.pop("raw_id"),
                     **row,
                     "layer": MemoryLayer.L1_RAW.value,
-                    "status": MemoryStatus.ACTIVE.value,
+                    "status": node.status.value,
                     "score": round(float(hit.get("score", 0.0)), 4),
                 }
             )
@@ -3864,6 +3869,7 @@ class HyMemoryClient:
         branch: Optional[str] = None,
         request_id: Optional[str] = None,
         layers: Optional[List[Any]] = None,
+        statuses: Optional[List[Any]] = None,
         embed_override: Optional[Dict[str, Any]] = None,
         query_embedding: Optional[List[float]] = None,
         rerank: bool = True,
@@ -3893,7 +3899,7 @@ class HyMemoryClient:
                     schema_min_score=schema_min_score, schema_limit=schema_limit,
                     intention_limit=intention_limit, created_after=created_after,
                     reader=reader, workspace_id=workspace_id, branch=branch,
-                    request_id=request_id, layers=layers,
+                    request_id=request_id, layers=layers, statuses=statuses,
                     query_embedding=query_embedding,
                     rerank=rerank,
                 )
@@ -3908,7 +3914,7 @@ class HyMemoryClient:
             schema_min_score=schema_min_score, schema_limit=schema_limit,
             intention_limit=intention_limit, created_after=created_after,
             reader=reader, workspace_id=workspace_id, branch=branch,
-            request_id=request_id, layers=layers,
+            request_id=request_id, layers=layers, statuses=statuses,
             query_embedding=query_embedding,
             rerank=rerank,
         )
@@ -3938,6 +3944,7 @@ class HyMemoryClient:
         branch: Optional[str] = None,
         request_id: Optional[str] = None,
         layers: Optional[List[Any]] = None,
+        statuses: Optional[List[Any]] = None,
         query_embedding: Optional[List[float]] = None,
         rerank: bool = True,
     ) -> Dict[str, Any]:
@@ -4023,6 +4030,17 @@ class HyMemoryClient:
                 "Use single agent_id with multiple session_ids, or multiple agent_ids without session_ids."
             )
 
+        if statuses is not None:
+            from .models.memory import MemoryLayer
+
+            requested_layers = self._normalize_layers(layers)
+            if scene_all or (
+                not lite_mode and requested_layers != [MemoryLayer.L1_RAW]
+            ):
+                raise ValueError(
+                    "statuses is supported only for explicit L1_RAW search"
+                )
+
         if scene_all:
             return await self._search_all_scenes(
                 query, queries=queries, search_mode=search_mode,
@@ -4358,6 +4376,7 @@ class HyMemoryClient:
                 request_id=request_id,
                 t0=t0,
                 query_embedding=query_embedding,
+                statuses=statuses,
             )
 
         read_req = ReadRequest(

memhub/README.md

@@ -19,7 +19,7 @@ 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==2.0.13`。MemHub 源码版本为 `1.0.6`
-（build 39），GitHub 仓库为
+（build 40），GitHub 仓库为
 [`Tencent-Hunyuan/Hy-Memory`](https://github.com/Tencent-Hunyuan/Hy-Memory)，npm 包名为
 `memhub-cli`。当前代码架构见
 [`docs/ARCHITECTURE.md`](docs/ARCHITECTURE.md)。

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

@@ -270,6 +270,7 @@ from one_memory.onboarding import (
     OnboardingState,
     OnboardingStore,
 )
+from one_memory.raw_turns import RawDisplayTurn, raw_display_turns
 from one_memory.recall import (
     GovernedRecallTarget,
     RecallReceipt,
@@ -604,24 +605,37 @@ class SdkRawItem(HySdkRawRecord):
     role: str | None = None
     content_hash: str
     created: datetime | None = None
+    turn_id: str | None = Field(default=None, min_length=1, max_length=96)
+    turn_index: int | None = Field(default=None, ge=0)
+    turn_count: int | None = Field(default=None, ge=1)
 
     @classmethod
-    def of(cls, record: HySdkRawRecord) -> "SdkRawItem":
+    def of(
+        cls, record: HySdkRawRecord, turn: RawDisplayTurn | None = None
+    ) -> "SdkRawItem":
+        content = turn.content if turn is not None else record.content
+        raw_messages = (
+            turn.messages if turn is not None else raw_turn_messages(record.content)
+        )
         messages = tuple(
             SdkRawMessage(role=role, content=text)
-            for role, text in raw_turn_messages(record.content)
+            for role, text in raw_messages
         )
         roles = {message.role for message in messages}
         return cls(
-            **record.model_dump(),
+            **record.model_dump(exclude={"content"}),
+            content=content,
             messages=messages,
             role=next(iter(roles)) if len(roles) == 1 and "" not in roles else None,
-            content_hash="sha256:" + hashlib.sha256(record.content.encode("utf-8")).hexdigest(),
+            content_hash="sha256:" + hashlib.sha256(content.encode("utf-8")).hexdigest(),
             created=(
                 datetime.fromtimestamp(record.gmt_created, tz=UTC)
                 if record.gmt_created is not None
                 else None
             ),
+            turn_id=turn.turn_id if turn is not None else None,
+            turn_index=turn.turn_index if turn is not None else None,
+            turn_count=turn.turn_count if turn is not None else None,
         )
 
 
@@ -634,9 +648,9 @@ class SdkRawPage(BaseModel):
     total: int = Field(ge=0)
     offset: int = Field(ge=0)
     limit: int = Field(ge=1, le=500)
-    #: Set when a time filter was applied to this page in Core (the SDK list
-    #: has none): `items` is the page's rows inside the range, `total` stays
-    #: the SDK's count before that filter.
+    unit: Literal["raw", "turn"] = "raw"
+    #: Set when a time filter was applied in Core. For storage `raw`, `total`
+    #: remains the SDK count; for product `turn`, it is the filtered turn count.
     time_filtered: bool = False
 
 
@@ -4441,6 +4455,16 @@ def create_app(
             raise _sdk_http_error(error, "hy_memory_delete_failed") from None
         return Response(status_code=204)
 
+    raw_turn_cache: dict[
+        tuple[object, ...],
+        tuple[
+            int,
+            tuple[tuple[str, str | None], ...],
+            tuple[tuple[HySdkRawRecord, RawDisplayTurn], ...],
+        ],
+    ] = {}
+    raw_turn_cache_locks: dict[tuple[object, ...], asyncio.Lock] = {}
+
     @app.get(
         "/api/v2/raw",
         response_model=SdkRawPage,
@@ -4450,6 +4474,7 @@ def create_app(
         source: list[str] | None = Query(default=None),  # noqa: B008
         offset: int = Query(default=0, ge=0),
         limit: int = Query(default=100, ge=1, le=500),
+        unit: Literal["raw", "turn"] = Query(default="raw"),
         user_id: str = Query(default=DEFAULT_USER_ID, pattern=USER_ID_PATTERN),
         exclude_sources: list[str] | None = Query(default=None),  # noqa: B008
         session_id: list[str] | None = Query(default=None),  # noqa: B008
@@ -4463,7 +4488,10 @@ def create_app(
         The SDK lists raw only when asked for `layers=["l1_raw"]`, and only
         active rows unless told otherwise. Pro shadows a raw once extraction
         succeeds, so a raw page reads active and shadow (`statuses` narrows
-        it). `source` and `session_id` (a conversation) may repeat or be comma
+        it). `unit=turn` projects storage batches into stable product turns;
+        the first read builds an append-only in-memory index and later polls
+        only probe the latest SDK page unless it changed. `source` and
+        `session_id` (a conversation) may repeat or be comma
         separated. `after`/`before` (unix seconds, against the conversation
         time, else the stored time) have no SDK list filter: they cut this
         page in Core and mark it `time_filtered`.
@@ -4477,24 +4505,145 @@ def create_app(
         sessions = split_csv(session_id)
         try:
             client = await _sdk_client_handle(app).client()
-            value = await asyncio.to_thread(
-                client.list_memories,
-                user_id=user_id,
+            query = {
+                "user_id": user_id,
                 **raw_list_filters(chosen_statuses),
-                include_sources=sources or None,
-                exclude_sources=excluded or None,
-                session_ids=sessions or None,
-                offset=offset,
-                limit=limit,
-                order=order,
-            )
-            page = HySdkRawPage.from_memory_list(value, limit=limit, offset=offset)
+                "include_sources": sources or None,
+                "exclude_sources": excluded or None,
+                "session_ids": sessions or None,
+                "order": order if unit == "raw" else "desc",
+            }
+            if unit == "raw":
+                value = await asyncio.to_thread(
+                    client.list_memories,
+                    **query,
+                    offset=offset,
+                    limit=limit,
+                )
+                page = HySdkRawPage.from_memory_list(value, limit=limit, offset=offset)
+                records = page.raw
+            else:
+                cache_key = (
+                    user_id,
+                    tuple(sorted(chosen_statuses)),
+                    tuple(sorted(sources)),
+                    tuple(sorted(excluded)),
+                    tuple(sorted(sessions)),
+                )
+                if len(raw_turn_cache_locks) > 64:
+                    for stale_key, stale_lock in tuple(raw_turn_cache_locks.items()):
+                        if (
+                            stale_key not in raw_turn_cache
+                            and not stale_lock.locked()
+                        ):
+                            raw_turn_cache_locks.pop(stale_key, None)
+                lock = raw_turn_cache_locks.setdefault(cache_key, asyncio.Lock())
+                async with lock:
+                    for _attempt in range(3):
+                        value = await asyncio.to_thread(
+                            client.list_memories,
+                            **query,
+                            offset=0,
+                            limit=500,
+                        )
+                        first_page = HySdkRawPage.from_memory_list(
+                            value, limit=500, offset=0
+                        )
+                        signature = tuple(
+                            (record.raw_id, record.status) for record in first_page.raw
+                        )
+                        cached = raw_turn_cache.get(cache_key)
+                        if (
+                            cached is not None
+                            and cached[0] == first_page.total
+                            and cached[1] == signature
+                        ):
+                            projected_turns = cached[2]
+                            break
+
+                        records_list = list(first_page.raw)
+                        raw_offset = len(first_page.raw)
+                        raw_total = first_page.total
+                        while first_page.raw and raw_offset < raw_total:
+                            value = await asyncio.to_thread(
+                                client.list_memories,
+                                **query,
+                                offset=raw_offset,
+                                limit=500,
+                            )
+                            raw_page = HySdkRawPage.from_memory_list(
+                                value, limit=500, offset=raw_offset
+                            )
+                            records_list.extend(raw_page.raw)
+                            raw_offset += len(raw_page.raw)
+                            if not raw_page.raw:
+                                break
+
+                        verify_value = await asyncio.to_thread(
+                            client.list_memories,
+                            **query,
+                            offset=0,
+                            limit=500,
+                        )
+                        verify = HySdkRawPage.from_memory_list(
+                            verify_value, limit=500, offset=0
+                        )
+                        verify_signature = tuple(
+                            (record.raw_id, record.status) for record in verify.raw
+                        )
+                        if (
+                            verify.total != first_page.total
+                            or verify_signature != signature
+                        ):
+                            continue
+                        projected_turns = tuple(
+                            (record, turn)
+                            for record in records_list
+                            for turn in reversed(raw_display_turns(record))
+                        )
+                        raw_turn_cache[cache_key] = (
+                            first_page.total,
+                            signature,
+                            projected_turns,
+                        )
+                        while len(raw_turn_cache) > 32:
+                            oldest = next(iter(raw_turn_cache))
+                            raw_turn_cache.pop(oldest)
+                            old_lock = raw_turn_cache_locks.get(oldest)
+                            if old_lock is not None and not old_lock.locked():
+                                raw_turn_cache_locks.pop(oldest, None)
+                        break
+                    else:
+                        raise RuntimeError("hy_memory_raw_snapshot_busy")
+                if cache_key not in raw_turn_cache and not lock.locked():
+                    raw_turn_cache_locks.pop(cache_key, None)
         except HTTPException:
             raise
         except Exception as error:
             raise _sdk_http_error(error, "hy_memory_raw_list_failed") from None
-        records = page.raw
         time_filtered = after is not None or before is not None
+        if unit == "turn":
+            turns = projected_turns
+            if time_filtered:
+                turns = tuple(
+                    (record, turn)
+                    for record, turn in turns
+                    if (at := record.memory_at or record.gmt_created) is not None
+                    and (after is None or at >= after)
+                    and (before is None or at < before)
+                )
+            if order == "asc":
+                turns = tuple(reversed(turns))
+            selected = turns[offset : offset + limit]
+            return SdkRawPage(
+                user_id=user_id,
+                items=tuple(SdkRawItem.of(record, turn) for record, turn in selected),
+                total=len(turns),
+                offset=offset,
+                limit=limit,
+                unit="turn",
+                time_filtered=time_filtered,
+            )
         if time_filtered:
             records = tuple(
                 record
@@ -4509,6 +4658,7 @@ def create_app(
             total=page.total,
             offset=offset,
             limit=limit,
+            unit="raw",
             time_filtered=time_filtered,
         )
 

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

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

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

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

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

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

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

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

memhub/apps/core/tests/test_memory_server_durable_queue.py

@@ -4138,6 +4138,71 @@ def test_a_failing_renewal_does_not_kill_the_drain(tmp_path) -> None:
     assert queue.get("idem-1").state == COMPLETED
 
 
+def test_a_locked_fallback_settlement_does_not_kill_the_drain(tmp_path, monkeypatch) -> None:
+    """The incident shape: executor and its fallback both lose the writer.
+
+    The first row keeps its lease for normal reclaim; an unrelated row must
+    still run instead of being stranded behind a dead drain task.
+    """
+    queue = DurableWriteQueue(tmp_path / "one-memory.sqlite3")
+    first = queue.submit(_request(key="first", source="cursor"))
+    second = queue.submit(_request(key="second", source="codex"))
+    executed: list[str] = []
+
+    async def execute(job_id: str) -> None:
+        executed.append(job_id)
+        if job_id == first.job_id:
+            raise RuntimeError("executor failed")
+        queue.settle(job_id, state=COMPLETED)
+        drain.stop()
+
+    drain = DurableWriteDrain(queue, execute=execute, max_concurrent_sources=1)
+
+    def locked_settlement(*_args, **_kwargs):
+        raise sqlite3.OperationalError("database is locked")
+
+    monkeypatch.setattr(queue, "settle_worker_error", locked_settlement)
+
+    asyncio.run(asyncio.wait_for(drain.run_forever(idle_pause=0.005), 1))
+
+    assert executed == [first.job_id, second.job_id]
+    assert queue.get("first").state == RUNNING
+    assert queue.get("second").state == COMPLETED
+
+
+def test_an_unexpected_job_task_failure_is_contained_by_the_drain(
+    tmp_path, monkeypatch, caplog
+) -> None:
+    """A programming error stays visible without taking down the consumer."""
+    queue = DurableWriteQueue(tmp_path / "one-memory.sqlite3")
+    first = queue.submit(_request(key="first", source="cursor"))
+    second = queue.submit(_request(key="second", source="codex"))
+    executed: list[str] = []
+
+    async def run_job(job_id: str) -> None:
+        executed.append(job_id)
+        if job_id == first.job_id:
+            raise RuntimeError("unexpected job task failure")
+        drain.stop()
+
+    drain = DurableWriteDrain(
+        queue,
+        execute=_never_execute,
+        max_concurrent_sources=1,
+    )
+    monkeypatch.setattr(drain, "_run_claimed_job", run_job)
+
+    with caplog.at_level(logging.ERROR, logger="one_memory.memory_server.durable_queue"):
+        asyncio.run(asyncio.wait_for(drain.run_forever(idle_pause=0.005), 1))
+
+    assert executed == [first.job_id, second.job_id]
+    assert any(
+        "durable_write_drain_job_task_failed" in message.getMessage()
+        and "error_type=RuntimeError" in message.getMessage()
+        for message in caplog.records
+    )
+
+
 @pytest.mark.parametrize("terminal", [COMPLETED, FAILED, DEAD])
 def test_a_terminal_row_is_sticky_against_a_late_settle(tmp_path, terminal: str) -> None:
     """A late settle must not overwrite an outcome that already happened.
@@ -4980,6 +5045,27 @@ def test_permanent_renewal_error_stops_the_worker(tmp_path, monkeypatch) -> None
         asyncio.run(drain.run_one())
 
 
+def test_permanent_renewal_error_stops_the_long_lived_drain(tmp_path, monkeypatch) -> None:
+    queue = DurableWriteQueue(tmp_path / "one-memory.sqlite3")
+    queue.submit(_request())
+    drain = DurableWriteDrain(
+        queue,
+        execute=lambda _job_id: asyncio.sleep(0.03),
+        lease=timedelta(seconds=1),
+        renew_every=timedelta(milliseconds=10),
+    )
+    monkeypatch.setattr(
+        drain,
+        "renew",
+        lambda *_args, **_kwargs: (_ for _ in ()).throw(
+            sqlite3.OperationalError("database schema is corrupt")
+        ),
+    )
+
+    with pytest.raises(RuntimeError):
+        asyncio.run(asyncio.wait_for(drain.run_forever(idle_pause=0.005), 1))
+
+
 def test_lost_renewal_waits_for_execution_before_releasing_source(tmp_path, monkeypatch) -> None:
     path = tmp_path / "one-memory.sqlite3"
     queue = DurableWriteQueue(path)

memhub/apps/core/tests/test_sdk_api_surface.py

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

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

@@ -1235,7 +1235,9 @@ it("shows lite raw ingestion as running even when model sedimentation is paused"
     />,
   );
 
-  expect(await screen.findAllByText("正在保存原始对话")).toHaveLength(2);
+  expect(await screen.findAllByText("正在保存")).toHaveLength(2);
+  expect(screen.getByText("暂无更新")).toBeTruthy();
+  expect(screen.getByText("已核对，暂无可显示的原始对话更新")).toBeTruthy();
   expect(screen.getByText("原始对话持续保存，不需要生成模型")).toBeTruthy();
   expect(screen.queryByText("已暂停")).toBeNull();
 });

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

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

memhub/apps/web/src/MemoryGraph3D.tsx

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

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

@@ -149,7 +149,7 @@ it("OBS-22: the graph inspector has no editing entry and never says changes cann
   expect(screen.queryByText(/暂不能保存更改/)).toBeNull();
 });
 
-it("replaces a topic detail with an off-page graph memory detail", async () => {
+it("keeps topic annotations out of the inspector and opens detail-bearing graph nodes", async () => {
   const onOpen = vi.fn();
   const topicGraph = {
     total_memories: 2,
@@ -221,13 +221,13 @@ it("replaces a topic detail with an off-page graph memory detail", async () => {
     />,
   );
 
+  await act(async () => {});
+  onOpen.mockClear();
   await userEvent.click(screen.getByRole("button", { name: "图中选择 git" }));
-  expect(screen.getByRole("heading", { name: "git" })).toBeTruthy();
-  expect(screen.getAllByText("第一条").length).toBeGreaterThan(0);
-  expect(screen.queryByText("对应记忆")).toBeNull();
-  expect(screen.queryByText("属于主题")).toBeNull();
-  expect(screen.queryByText("主题")).toBeNull();
-  expect(screen.queryByText("两跳")).toBeNull();
+  expect(onOpen).not.toHaveBeenCalled();
+  expect(screen.queryByRole("heading", { name: "git" })).toBeNull();
+  expect(screen.getByRole("heading", { name: "第一条" })).toBeTruthy();
+  expect(screen.getByTestId("canvas").dataset.selected).toBe("memory:m0");
   await userEvent.click(
     screen.getByRole("button", { name: "图中选择 先验证，再推送" }),
   );

memhub/apps/web/src/MemoryMap.tsx

@@ -684,6 +684,9 @@ export function MemoryMap(props: Props) {
     setGroupKey(key);
   }
   function pickNode(node: MemoryGraphNode) {
+    // Topics are graph annotations, not detail-bearing records. They remain
+    // hoverable in the canvas but must not replace the memory inspector.
+    if (node.node_type === "topic") return;
     if (node.memory_id) {
       pick(node.memory_id);
       return;
@@ -708,11 +711,6 @@ export function MemoryMap(props: Props) {
         if (first) pick(first, false);
       }
     }
-    if (node.node_type === "topic") {
-      if (props.simplified) return;
-      setAxis("topic");
-      setGroupKey(`topic:${node.label}`);
-    }
   }
   const label =
     group?.label ??

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

@@ -1,5 +1,6 @@
 // @vitest-environment jsdom
 
+import { legacyMemoryModePlan } from "@one-memory/operations";
 import {
   cleanup,
   render,
@@ -64,31 +65,9 @@ function prepare(mode: "lite" | "pro" | "ultra" = "pro") {
     running: [],
   });
   vi.mocked(getMemoryProcessing).mockResolvedValue({} as never);
-  vi.mocked(planMemoryMode).mockImplementation(async (target) => ({
-    current: mode,
-    target,
-    effective_target: target,
-    capabilities: {
-      content_plane: target === "lite" ? "raw" : "memory",
-      generation_required: target !== "lite",
-      graph_enabled: target === "ultra",
-      evolve_available: target === "ultra",
-    },
-    effects: [
-      ...(target === "lite" ? (["higher_mode_memories_hidden"] as const) : []),
-      ...(mode === "lite" && target !== "lite"
-        ? (["earlier_raw_not_extracted", "lite_search_stops"] as const)
-        : []),
-      ...(target === "ultra" && mode !== "ultra"
-        ? (["existing_memories_added_to_graph"] as const)
-        : []),
-      ...(mode === "ultra" && target !== "ultra"
-        ? (["evolve_stopped"] as const)
-        : []),
-    ],
-    warnings: [],
-    blockers: [],
-  }));
+  vi.mocked(planMemoryMode).mockImplementation(async (target) =>
+    legacyMemoryModePlan(mode, target, { hasActiveModel: true }),
+  );
 }
 
 async function chooseMode(
@@ -227,6 +206,20 @@ it("uses the isolated legacy plan only for a route-level old-Core 404", async ()
   expect(await screen.findByText(/已有记忆继续保留/)).toBeTruthy();
 });
 
+it("keeps downgrade effects when an old Core falls back from ultra to pro", async () => {
+  prepare("ultra");
+  vi.mocked(planMemoryMode).mockRejectedValue(new Error("404"));
+  vi.mocked(memoryModePlanUnsupported).mockReturnValue(true);
+  const user = userEvent.setup();
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  await chooseMode(user, /智能记忆（pro）/);
+
+  const dialog = screen.getByRole("dialog");
+  expect(within(dialog).getAllByText("已有数据")).toHaveLength(1);
+  expect(within(dialog).getByText("每天自动整合")).toBeTruthy();
+});
+
 it("explains model cost, search scope and the next step before switching to ultra", async () => {
   prepare("lite");
   const user = userEvent.setup();
@@ -238,6 +231,8 @@ it("explains model cost, search scope and the next step before switching to ultr
   expect(screen.getByText("搜索范围")).toBeTruthy();
   expect(screen.getByText("切换后")).toBeTruthy();
   expect(screen.getByText(/已经处理完的旧对话不会补做/)).toBeTruthy();
+  expect(screen.getByText("知识图谱")).toBeTruthy();
+  expect(screen.getAllByText("已有数据")).toHaveLength(1);
   expect(screen.getByText(/切换本身不会立即整合/)).toBeTruthy();
 });
 
@@ -248,9 +243,27 @@ it("distinguishes regular memories from higher-level Ultra data when switching t
 
   await chooseMode(user, /智能记忆（pro）/);
 
-  expect(screen.getByText(/普通沉淀记忆仍可使用/)).toBeTruthy();
-  expect(screen.getByText(/更高层记忆和图谱数据继续保留/)).toBeTruthy();
-  expect(screen.getByText(/每天自动整合会停止/)).toBeTruthy();
+  const dialog = screen.getByRole("dialog");
+  expect(within(dialog).getAllByText("已有数据")).toHaveLength(1);
+  expect(within(dialog).getByText(/普通沉淀记忆仍可使用/)).toBeTruthy();
+  expect(within(dialog).getByText(/更高层记忆和图谱数据继续保留/)).toBeTruthy();
+  expect(within(dialog).getByText("每天自动整合")).toBeTruthy();
+  expect(
+    within(dialog).getByText("每天自动整合会停止；已生成的整合结果继续保留。"),
+  ).toBeTruthy();
+});
+
+it("does not show automatic consolidation when switching from lite to pro", async () => {
+  prepare("lite");
+  const user = userEvent.setup();
+  render(<MemoryModeSettings hasActiveModel onConfigureModel={vi.fn()} />);
+
+  await chooseMode(user, /智能记忆（pro）/);
+
+  const dialog = screen.getByRole("dialog");
+  expect(within(dialog).getAllByText("已有数据")).toHaveLength(1);
+  expect(within(dialog).getByText(/已经处理完的旧对话不会补做/)).toBeTruthy();
+  expect(within(dialog).queryByText("每天自动整合")).toBeNull();
 });
 
 it("focuses the Evolve settings after switching to ultra", async () => {

memhub/apps/web/src/MemoryModeSettings.tsx

@@ -85,18 +85,20 @@ function planRows(plan: MemoryModePlan) {
   if (plan.effects.includes("higher_mode_memories_hidden"))
     rows.push({
       label: "已有数据",
-      content: "已有记忆继续保留，但高级记忆在当前模式下不显示、不参与召回。",
+      content:
+        plan.effective_target === "pro"
+          ? "普通沉淀记忆仍可使用；深度记忆新增的更高层记忆和图谱数据继续保留，但在智能记忆下不显示、不参与召回。原始对话不会删除。"
+          : "已有记忆继续保留，但在基础记忆下不显示、不参与召回；原始对话不会删除。",
     });
   if (plan.effects.includes("existing_memories_added_to_graph"))
     rows.push({
-      label: "已有数据",
+      label: "知识图谱",
       content: "已有记忆会在后台加入知识图谱，期间仍可使用。",
     });
   if (plan.effects.includes("evolve_stopped"))
     rows.push({
-      label: "已有数据",
-      content:
-        "普通沉淀记忆仍可使用；更高层记忆和图谱数据继续保留，但不参与当前召回；每天自动整合会停止。",
+      label: "每天自动整合",
+      content: "每天自动整合会停止，已经生成的数据不会删除。",
     });
   if (plan.capabilities.evolve_available)
     rows.push({

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

@@ -387,6 +387,67 @@ it("pages and filters the raw conversation data plane in lite", async () => {
   );
 });
 
+it("selects and renders one turn when two turns share a raw storage batch", async () => {
+  setup();
+  reads.processing.mockResolvedValue(modeProcessing("lite"));
+  reads.raw.mockResolvedValue({
+    items: [
+      {
+        raw_id: "raw-batch",
+        turn_id: "raw-turn:batch:0",
+        turn_index: 0,
+        turn_count: 2,
+        content: "[user]: 第一问\n[assistant]: 第一答",
+        user_id: "local",
+        agent_id: "all-apps",
+        source: "cursor",
+        session_id: "session-batch",
+        memory_at: null,
+        gmt_created: 1_761_000_000,
+        custom: {},
+        messages: [
+          { role: "user", content: "第一问" },
+          { role: "assistant", content: "第一答" },
+        ],
+      },
+      {
+        raw_id: "raw-batch",
+        turn_id: "raw-turn:batch:1",
+        turn_index: 1,
+        turn_count: 2,
+        content: "[user]: 第二问\n[assistant]: 第二答",
+        user_id: "local",
+        agent_id: "all-apps",
+        source: "cursor",
+        session_id: "session-batch",
+        memory_at: null,
+        gmt_created: 1_761_000_000,
+        custom: {},
+        messages: [
+          { role: "user", content: "第二问" },
+          { role: "assistant", content: "第二答" },
+        ],
+      },
+    ],
+    total: 2,
+    limit: 20,
+    offset: 0,
+    unit: "turn",
+  });
+  const user = userEvent.setup();
+  render(<MemorySpace simplified />);
+
+  await user.click(await screen.findByRole("button", { name: /第二问/ }));
+
+  await waitFor(() => {
+    const detail = document.querySelector(".map-dialogue-reading");
+    expect(detail?.textContent).toContain("第二问");
+    expect(detail?.textContent).toContain("第二答");
+    expect(detail?.textContent).not.toContain("第一问");
+    expect(detail?.textContent).not.toContain("第一答");
+  });
+});
+
 it("switches data planes without keeping rows or details from the prior mode", async () => {
   setup();
   vi.useFakeTimers();
@@ -482,6 +543,27 @@ it("opens a search hit with the complete role transcript", async () => {
           items: [
             {
               raw_id: "raw-search",
+              turn_id: "raw-turn:search:0",
+              turn_index: 0,
+              turn_count: 2,
+              content: "[user]: 第一轮问题\n[assistant]: 第一轮回答",
+              user_id: "local",
+              agent_id: "all-apps",
+              source: "cursor",
+              session_id: "session-search",
+              memory_at: null,
+              gmt_created: 1_761_000_000,
+              custom: {},
+              messages: [
+                { role: "user", content: "第一轮问题" },
+                { role: "assistant", content: "第一轮回答" },
+              ],
+            },
+            {
+              raw_id: "raw-search",
+              turn_id: "raw-turn:search:1",
+              turn_index: 1,
+              turn_count: 2,
               content: "[user]: 完整问题\n[assistant]: 完整回答",
               user_id: "local",
               agent_id: "all-apps",
@@ -496,7 +578,7 @@ it("opens a search hit with the complete role transcript", async () => {
               ],
             },
           ],
-          total: 1,
+          total: 2,
           limit: 500,
           offset: 0,
         }
@@ -506,6 +588,9 @@ it("opens a search hit with the complete role transcript", async () => {
     {
       kind: "raw",
       raw_id: "raw-search",
+      turn_id: "raw-turn:search:1",
+      turn_index: 1,
+      turn_count: 2,
       content: "被截断的搜索摘要",
       source: "cursor",
       session_id: "session-search",
@@ -525,6 +610,9 @@ it("opens a search hit with the complete role transcript", async () => {
 
   expect(await screen.findByText("完整问题")).toBeTruthy();
   expect(screen.getByText("完整回答")).toBeTruthy();
+  expect(
+    document.querySelector(".map-dialogue-reading")?.textContent,
+  ).not.toContain("第一轮问题");
   expect(reads.raw).toHaveBeenCalledWith(
     expect.objectContaining({
       source: "cursor",

memhub/apps/web/src/MemorySpace.tsx

@@ -61,6 +61,7 @@ import {
   type RawMapRecord,
   rawDetail,
   rawLibraryPage,
+  rawRecordId,
   rawSearchPage,
 } from "./sdk-raw-map";
 import { sourceNameOr, UNATTRIBUTED_SOURCE_ID } from "./source-label";
@@ -277,8 +278,11 @@ export function MemorySpace({
         const rememberRaw = (items: RawMapRecord[]) => {
           const next = new Map<string, RawMapRecord>();
           if (selectedRawRef.current)
-            next.set(selectedRawRef.current.raw_id, selectedRawRef.current);
-          for (const item of items) next.set(item.raw_id, item);
+            next.set(
+              rawRecordId(selectedRawRef.current),
+              selectedRawRef.current,
+            );
+          for (const item of items) next.set(rawRecordId(item), item);
           rawRecords.current = next;
         };
         const [page, graph] = lite
@@ -717,7 +721,9 @@ export function MemorySpace({
               offset,
               limit: 500,
             });
-            const full = page.items.find((item) => item.raw_id === memoryId);
+            const full = page.items.find(
+              (item) => rawRecordId(item) === memoryId,
+            );
             if (full) {
               record = full;
               rawRecords.current.set(memoryId, full);

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

@@ -72,6 +72,7 @@ const probeProfile = vi.fn();
 const activate = vi.fn();
 const remove = vi.fn();
 const update = vi.fn();
+const refreshProfiles = vi.fn();
 const planActivation = vi.fn();
 const startPlannedSwitch = vi.fn();
 let switchPlan: EmbeddingSwitchPlan | null = null;
@@ -224,6 +225,7 @@ vi.mock("./use-model-profiles", () => ({
     activate,
     remove,
     update,
+    refreshProfiles,
   }),
 }));
 vi.mock("./use-embedding-switch", () => ({
@@ -279,6 +281,7 @@ describe("ModelSettings", () => {
     switchCurrent = null;
     create.mockResolvedValue(profile);
     update.mockResolvedValue({ ...preset, has_api_key: true, revision: 2 });
+    refreshProfiles.mockResolvedValue(undefined);
     planActivation.mockResolvedValue({
       needed: false,
       reason: "same_embedding",
@@ -576,7 +579,8 @@ describe("ModelSettings", () => {
       name: "高级：自行配置向量模型",
     });
     await user.click(disclosure);
-    await user.selectOptions(screen.getByLabelText("向量配置模式"), "custom");
+    await user.click(screen.getByLabelText("向量配置模式"));
+    await user.click(screen.getByRole("option", { name: "自定义搜索模型" }));
     await user.type(screen.getByLabelText("向量模型名"), "custom-vector");
     await user.type(
       screen.getByLabelText("向量模型 Base URL"),
@@ -666,9 +670,9 @@ describe("ModelSettings", () => {
     ];
     render(<ModelSettings />);
     await userEvent.click(screen.getByRole("button", { name: "编辑配置" }));
-    await userEvent.selectOptions(
-      screen.getByLabelText("向量配置模式"),
-      "local",
+    await userEvent.click(screen.getByLabelText("向量配置模式"));
+    await userEvent.click(
+      screen.getByRole("option", { name: "本地内置（推荐）" }),
     );
     await userEvent.click(screen.getByRole("button", { name: "保存修改" }));
     expect(update).toHaveBeenCalledWith(profile.profile_id, {
@@ -687,9 +691,9 @@ describe("ModelSettings", () => {
       name: "高级：自行配置向量模型",
     });
     await userEvent.click(disclosure);
-    await userEvent.selectOptions(
-      screen.getByLabelText("向量配置模式"),
-      "custom",
+    await userEvent.click(screen.getByLabelText("向量配置模式"));
+    await userEvent.click(
+      screen.getByRole("option", { name: "自定义搜索模型" }),
     );
     await userEvent.click(disclosure);
     await userEvent.click(screen.getByRole("button", { name: "保存配置" }));
@@ -850,6 +854,190 @@ describe("ModelSettings", () => {
     expect(activate).not.toHaveBeenCalled();
   });
 
+  it("completes an embedding change only after the switch commit activates the target", async () => {
+    const onSetupComplete = vi.fn();
+    profiles = [
+      {
+        ...profile,
+        capabilities: {
+          ...profile.capabilities,
+          endpoint_reachable: true,
+          model_available: true,
+          embedding_available: true,
+        },
+      },
+    ];
+    planActivation.mockImplementationOnce(async () => {
+      switchPlan = migrationPlan;
+      return migrationPlan;
+    });
+    const runningJob: EmbeddingSwitchJob = {
+      ...oldFinishedJob,
+      job_id: "switch-job",
+      state: "reembedding",
+      progress: { ...oldFinishedJob.progress, phase: "vectors", done: 0 },
+    };
+    startPlannedSwitch.mockResolvedValue(runningJob);
+    switchCurrent = {
+      schema_version: 1,
+      phase: "idle",
+      writes_paused: false,
+      scan_state: "done",
+      scan_error: null,
+      job: null,
+      last_finished: oldFinishedJob,
+    };
+    const view = render(<ModelSettings onSetupComplete={onSetupComplete} />);
+
+    await userEvent.click(screen.getByRole("button", { name: "设为当前模型" }));
+    await userEvent.click(
+      await screen.findByRole("button", { name: "开始更新索引" }),
+    );
+
+    await waitFor(() =>
+      expect(startPlannedSwitch).toHaveBeenCalledExactlyOnceWith(),
+    );
+    expect(onSetupComplete).not.toHaveBeenCalled();
+
+    refreshProfiles.mockImplementationOnce(async () => {
+      profiles = [{ ...profiles[0], is_active: true }];
+    });
+    switchCurrent = {
+      ...switchCurrent,
+      phase: "idle",
+      job: null,
+      last_finished: { ...runningJob, state: "done" },
+    };
+    view.rerender(<ModelSettings onSetupComplete={onSetupComplete} />);
+
+    await waitFor(() => expect(onSetupComplete).toHaveBeenCalledOnce());
+  });
+
+  it("does not complete a committed switch until the target revision is active", async () => {
+    const onSetupComplete = vi.fn();
+    profiles = [
+      {
+        ...profile,
+        capabilities: {
+          ...profile.capabilities,
+          endpoint_reachable: true,
+          model_available: true,
+          embedding_available: true,
+        },
+      },
+    ];
+    planActivation.mockImplementationOnce(async () => {
+      switchPlan = migrationPlan;
+      return migrationPlan;
+    });
+    const runningJob: EmbeddingSwitchJob = {
+      ...oldFinishedJob,
+      job_id: "switch-job",
+      state: "reembedding",
+      progress: { ...oldFinishedJob.progress, phase: "vectors", done: 0 },
+    };
+    startPlannedSwitch.mockResolvedValue(runningJob);
+    switchCurrent = {
+      schema_version: 1,
+      phase: "idle",
+      writes_paused: false,
+      scan_state: "done",
+      scan_error: null,
+      job: null,
+      last_finished: oldFinishedJob,
+    };
+    const view = render(<ModelSettings onSetupComplete={onSetupComplete} />);
+
+    await userEvent.click(screen.getByRole("button", { name: "设为当前模型" }));
+    await userEvent.click(
+      await screen.findByRole("button", { name: "开始更新索引" }),
+    );
+    await waitFor(() => expect(startPlannedSwitch).toHaveBeenCalledOnce());
+
+    switchCurrent = {
+      ...switchCurrent,
+      phase: "idle",
+      job: null,
+      last_finished: { ...runningJob, state: "done" },
+    };
+    view.rerender(<ModelSettings onSetupComplete={onSetupComplete} />);
+
+    expect(
+      await screen.findByText(
+        "配置已保存，尚未确认启用成功。请核对配置后重试。",
+      ),
+    ).toBeTruthy();
+    expect(onSetupComplete).not.toHaveBeenCalled();
+    expect(
+      (
+        screen.getByRole("button", {
+          name: "保存并测试启用",
+        }) as HTMLButtonElement
+      ).disabled,
+    ).toBe(false);
+  });
+
+  it("keeps embedding configuration open when the switch rolls back", async () => {
+    const onSetupComplete = vi.fn();
+    profiles = [
+      {
+        ...profile,
+        capabilities: {
+          ...profile.capabilities,
+          endpoint_reachable: true,
+          model_available: true,
+          embedding_available: true,
+        },
+      },
+    ];
+    planActivation.mockImplementationOnce(async () => {
+      switchPlan = migrationPlan;
+      return migrationPlan;
+    });
+    const runningJob: EmbeddingSwitchJob = {
+      ...oldFinishedJob,
+      job_id: "switch-job",
+      state: "reembedding",
+      progress: { ...oldFinishedJob.progress, phase: "vectors", done: 0 },
+    };
+    startPlannedSwitch.mockResolvedValue(runningJob);
+    switchCurrent = {
+      schema_version: 1,
+      phase: "idle",
+      writes_paused: false,
+      scan_state: "done",
+      scan_error: null,
+      job: null,
+      last_finished: oldFinishedJob,
+    };
+    const view = render(<ModelSettings onSetupComplete={onSetupComplete} />);
+
+    await userEvent.click(screen.getByRole("button", { name: "设为当前模型" }));
+    await userEvent.click(
+      await screen.findByRole("button", { name: "开始更新索引" }),
+    );
+    await waitFor(() => expect(startPlannedSwitch).toHaveBeenCalledOnce());
+
+    switchCurrent = {
+      ...switchCurrent,
+      phase: "idle",
+      job: null,
+      last_finished: {
+        ...runningJob,
+        state: "rolled_back",
+        error_code: "embedding_switch_failed",
+      },
+    };
+    view.rerender(<ModelSettings onSetupComplete={onSetupComplete} />);
+
+    expect(
+      await screen.findByText(
+        "索引更新没有完成，仍在使用原来的搜索模型，记忆没有丢失。",
+      ),
+    ).toBeTruthy();
+    expect(onSetupComplete).not.toHaveBeenCalled();
+  });
+
   it("hands a successful save to its card, clears only the key, and never tests or activates", async () => {
     profiles = [];
     const user = userEvent.setup();
@@ -1044,14 +1232,16 @@ describe("ModelSettings", () => {
     await user.click(
       screen.getByRole("button", { name: "高级：自行配置向量模型" }),
     );
-    await user.selectOptions(screen.getByLabelText("向量配置模式"), "custom");
+    await user.click(screen.getByLabelText("向量配置模式"));
+    await user.click(screen.getByRole("option", { name: "自定义搜索模型" }));
     await user.type(
       screen.getByLabelText("配置名称"),
       "Remote with local embedding",
     );
     await user.type(screen.getByLabelText("生成模型名"), "remote-model");
     await user.type(screen.getByLabelText("向量模型名"), "nomic-embed-text");
-    await user.selectOptions(screen.getByLabelText("向量模型来源"), "ollama");
+    await user.click(screen.getByLabelText("向量模型来源"));
+    await user.click(screen.getByRole("option", { name: "本机 Ollama" }));
     await user.type(
       screen.getByLabelText("向量模型 Base URL"),
       "http://127.0.0.1:11434",
@@ -1278,6 +1468,87 @@ describe("ModelSettings", () => {
       expect(nameField().disabled).toBe(false);
     });
   });
+
+  it("only completes compact setup after the backend confirms the profile is active", async () => {
+    const user = userEvent.setup();
+    const onSetupComplete = vi.fn();
+    const capabilities = {
+      endpoint_reachable: true,
+      model_available: true,
+      structured_output: false,
+      embedding_available: true,
+    };
+    const created = {
+      ...profile,
+      profile_id: "created",
+      revision: 1,
+      capabilities,
+    };
+    profiles = [];
+    create.mockImplementation(async () => {
+      profiles = [created];
+      return created;
+    });
+    probeProfile.mockResolvedValue({
+      profile_id: created.profile_id,
+      profile_revision: created.revision,
+      stages: [],
+      capabilities,
+    });
+    activate.mockResolvedValue({ ...created, is_active: true });
+    render(<ModelSettings compactSingle onSetupComplete={onSetupComplete} />);
+
+    await user.type(screen.getByLabelText("配置名称"), "Current model");
+    await user.type(screen.getByLabelText("生成模型名"), "model-v1");
+    await user.type(screen.getByLabelText(/^API Key/), "secret-value");
+    await user.click(screen.getByRole("button", { name: "测试并完成配置" }));
+
+    await waitFor(() => expect(onSetupComplete).toHaveBeenCalledOnce());
+    expect(planActivation).toHaveBeenCalledWith(
+      created.profile_id,
+      created.revision,
+    );
+    expect(activate).toHaveBeenCalledWith(created.profile_id);
+  });
+
+  it("keeps compact setup open when activation is not confirmed", async () => {
+    const user = userEvent.setup();
+    const onSetupComplete = vi.fn();
+    const capabilities = {
+      endpoint_reachable: true,
+      model_available: true,
+      structured_output: false,
+      embedding_available: true,
+    };
+    const created = {
+      ...profile,
+      profile_id: "created",
+      revision: 1,
+      capabilities,
+    };
+    profiles = [];
+    create.mockImplementation(async () => {
+      profiles = [created];
+      return created;
+    });
+    probeProfile.mockResolvedValue({
+      profile_id: created.profile_id,
+      profile_revision: created.revision,
+      stages: [],
+      capabilities,
+    });
+    activate.mockResolvedValue({ ...created, is_active: false });
+    render(<ModelSettings compactSingle onSetupComplete={onSetupComplete} />);
+
+    await user.type(screen.getByLabelText("配置名称"), "Inactive model");
+    await user.type(screen.getByLabelText("生成模型名"), "model-v1");
+    await user.type(screen.getByLabelText(/^API Key/), "secret-value");
+    await user.click(screen.getByRole("button", { name: "测试并完成配置" }));
+
+    await screen.findByText("配置已保存，尚未确认启用成功。请核对配置后重试。");
+    expect(onSetupComplete).not.toHaveBeenCalled();
+    expect(screen.getByRole("button", { name: "测试并完成配置" })).toBeTruthy();
+  });
 });
 
 describe("把一张预置卡设为当前模型", () => {

memhub/apps/web/src/ModelSettings.tsx

@@ -11,6 +11,7 @@ import {
   type FormEvent,
   type Ref,
   useEffect,
+  useId,
   useImperativeHandle,
   useLayoutEffect,
   useRef,
@@ -26,6 +27,7 @@ import {
   presetForGeneration,
   validateGenerationModel,
 } from "./GenerationModelPrimitives";
+import { OptionMenu } from "./OptionMenu";
 import { useOnboardingTranslation } from "./onboarding-language";
 import { PROVIDER_PRESETS } from "./provider-presets";
 import { R6StateRecovery } from "./R6StateRecovery";
@@ -238,6 +240,7 @@ export function ModelSettings({
   onSetupComplete?(): void;
 } = {}) {
   const { text, t } = useOnboardingTranslation();
+  const fieldId = useId();
   const models = useModelProfiles();
   const embeddingSwitch = useEmbeddingSwitch();
   const [provider, setProvider] = useState<ProviderKind>("openai_compatible");
@@ -275,6 +278,9 @@ export function ModelSettings({
   const [setupError, setSetupError] = useState<string | null>(null);
   const [switchTarget, setSwitchTarget] = useState<ModelProfile | null>(null);
   const [switchJobId, setSwitchJobId] = useState<string | null>(null);
+  const [switchRefreshCompleted, setSwitchRefreshCompleted] = useState<
+    string | null
+  >(null);
   const settledSwitchJob = useRef<string | null>(null);
   const flight = useRef(false);
   const alive = useRef(true);
@@ -308,10 +314,11 @@ export function ModelSettings({
       return;
     settledSwitchJob.current = finished.job_id;
     if (finished.state === "done") {
-      void models.refreshProfiles();
+      setSetupPhase("activating");
       setSetupError(null);
-      setSwitchTarget(null);
-      setSwitchJobId(null);
+      void models.refreshProfiles().then(() => {
+        if (alive.current) setSwitchRefreshCompleted(finished.job_id);
+      });
       onProfilesChanged?.();
       return;
     }
@@ -323,6 +330,7 @@ export function ModelSettings({
       );
       setSwitchTarget(null);
       setSwitchJobId(null);
+      setSwitchRefreshCompleted(null);
     }
   }, [
     embeddingSwitch.current?.last_finished,
@@ -331,6 +339,45 @@ export function ModelSettings({
     switchJobId,
     switchTarget,
   ]);
+  useEffect(() => {
+    const finished = embeddingSwitch.current?.last_finished;
+    if (
+      !switchTarget ||
+      !switchJobId ||
+      finished?.job_id !== switchJobId ||
+      finished.state !== "done" ||
+      switchRefreshCompleted !== switchJobId
+    )
+      return;
+    const active = models.profiles.find(
+      (profile) =>
+        profile.profile_id === switchTarget.profile_id &&
+        profile.revision >= switchTarget.revision &&
+        profile.is_active,
+    );
+    if (!active) {
+      setSetupPhase(null);
+      setSetupError("配置已保存，尚未确认启用成功。请核对配置后重试。");
+      setSwitchTarget(null);
+      setSwitchJobId(null);
+      setSwitchRefreshCompleted(null);
+      return;
+    }
+    if (active.name !== PRESET_PROFILE_NAME) setSaved(active);
+    setSetupPhase(null);
+    setSetupError(null);
+    setSwitchTarget(null);
+    setSwitchJobId(null);
+    setSwitchRefreshCompleted(null);
+    onSetupComplete?.();
+  }, [
+    embeddingSwitch.current?.last_finished,
+    models.profiles,
+    onSetupComplete,
+    switchJobId,
+    switchRefreshCompleted,
+    switchTarget,
+  ]);
   useLayoutEffect(() => {
     if (saved) savedCard.current?.focus({ preventScroll: true });
   }, [saved]);
@@ -381,6 +428,7 @@ export function ModelSettings({
       saved);
   const editorLocked =
     saving ||
+    switchJobId !== null ||
     models.busy !== null ||
     !!models.pendingCreation ||
     !!models.pendingProbe ||
@@ -864,6 +912,9 @@ export function ModelSettings({
       if (!alive.current) return;
       if (created) {
         if (thenSetup) {
+          // Retrying after probe, activation, or switch confirmation failed
+          // must update this saved revision instead of creating a duplicate.
+          setEditing(created);
           // The probe decides whether this form closes. A rejected key or a
           // failed endpoint leaves the filled-in form on screen with the
           // reason; only a passing test returns to the saved card.
@@ -1339,20 +1390,37 @@ export function ModelSettings({
               )}
               {focusSection === "embedding" || advancedEmbedding ? (
                 <>
-                  <label>
-                    {text(
-                      focusSection === "embedding"
-                        ? "搜索模型"
-                        : "向量配置模式",
-                    )}
-                    <select
-                      name="embedding-mode"
+                  <div className="model-form-field">
+                    <label
+                      className="model-option-label"
+                      id={`${fieldId}-embedding-mode-label`}
+                      htmlFor={`${fieldId}-embedding-mode`}
+                    >
+                      {text(
+                        focusSection === "embedding"
+                          ? "搜索模型"
+                          : "向量配置模式",
+                      )}
+                    </label>
+                    <OptionMenu
+                      id={`${fieldId}-embedding-mode`}
+                      labelledBy={`${fieldId}-embedding-mode-label`}
                       value={embeddingMode}
                       disabled={formLocked}
-                      onChange={(event) => {
-                        setEmbeddingMode(
-                          event.target.value as "local" | "custom",
-                        );
+                      className="model-option-menu"
+                      panelClassName="model-option-menu-panel"
+                      options={[
+                        {
+                          value: "local",
+                          label: text("本地内置（推荐）"),
+                        },
+                        {
+                          value: "custom",
+                          label: text("自定义搜索模型"),
+                        },
+                      ]}
+                      onChange={(value) => {
+                        setEmbeddingMode(value as "local" | "custom");
                         setEmbeddingModeChanged(true);
                         setFields((previous) => ({
                           ...previous,
@@ -1360,11 +1428,8 @@ export function ModelSettings({
                           "embedding-base-url": undefined,
                         }));
                       }}
-                    >
-                      <option value="local">{text("本地内置（推荐）")}</option>
-                      <option value="custom">{text("自定义搜索模型")}</option>
-                    </select>
-                  </label>
+                    />
+                  </div>
                   <small>{text("技术类型：Embedding")}</small>
                   {embeddingMode === "custom" ? (
                     <>
@@ -1397,25 +1462,38 @@ export function ModelSettings({
                           </small>
                         )}
                       </label>
-                      <label>
-                        {text("向量模型来源")}
-                        <select
-                          name="embedding-provider"
+                      <div className="model-form-field">
+                        <label
+                          className="model-option-label"
+                          id={`${fieldId}-embedding-provider-label`}
+                          htmlFor={`${fieldId}-embedding-provider`}
+                        >
+                          {text("向量模型来源")}
+                        </label>
+                        <OptionMenu
+                          id={`${fieldId}-embedding-provider`}
+                          labelledBy={`${fieldId}-embedding-provider-label`}
                           value={embeddingProvider}
                           disabled={formLocked}
-                          onChange={(event) => {
-                            const next = event.target.value as
+                          className="model-option-menu"
+                          panelClassName="model-option-menu-panel"
+                          options={[
+                            { value: "ollama", label: text("本机 Ollama") },
+                            {
+                              value: "openai_compatible",
+                              label: text(
+                                "同源 OpenAI-compatible（共用 API Key）",
+                              ),
+                            },
+                          ]}
+                          onChange={(value) => {
+                            const next = value as
                               | "openai_compatible"
                               | "ollama";
                             setEmbeddingProvider(next);
                           }}
-                        >
-                          <option value="ollama">{text("本机 Ollama")}</option>
-                          <option value="openai_compatible">
-                            {text("同源 OpenAI-compatible（共用 API Key）")}
-                          </option>
-                        </select>
-                      </label>
+                        />
+                      </div>
                       <label>
                         {text("向量模型 Base URL")}
                         <input
@@ -1669,13 +1747,14 @@ export function ModelSettings({
             embeddingSwitch.clearError();
             setSwitchTarget(null);
             setSwitchJobId(null);
+            setSwitchRefreshCompleted(null);
           }}
           onStart={() => {
             void embeddingSwitch.startPlannedSwitch().then((job) => {
               if (!job || !alive.current) return;
               setSwitchJobId(job.job_id);
+              setSwitchRefreshCompleted(null);
               setSetupError(null);
-              onSetupComplete?.();
             });
           }}
         />

memhub/apps/web/src/OptionMenu.tsx

@@ -111,7 +111,7 @@ export function OptionMenu(props: {
   function choose(index: number) {
     const item = props.options[index];
     if (!item || item.disabled) return;
-    props.onChange(item.value);
+    if (item.value !== props.value) props.onChange(item.value);
     setOpen(false);
     button.current?.focus();
   }

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

@@ -21,6 +21,9 @@ import { LANGUAGE_STORAGE_KEY, LanguageProvider } from "./gui-language";
 import { queryClient, resetClient } from "./query-client";
 import { R6Settings } from "./R6Settings";
 
+const editProfileAction = vi.fn(() => true);
+const addProfileAction = vi.fn(() => true);
+
 it("changes settings copy live without rereading profiles or changing permissions", async () => {
   const user = userEvent.setup();
   localStorage.setItem(LANGUAGE_STORAGE_KEY, "es");
@@ -112,8 +115,8 @@ vi.mock("./ModelSettings", async () => {
     }) => {
       useImperativeHandle(controlsRef, () => ({
         edit: () => false,
-        editProfile: () => false,
-        add: () => false,
+        editProfile: editProfileAction,
+        add: addProfileAction,
         test: () => Promise.resolve(undefined),
       }));
       return createElement(
@@ -304,6 +307,7 @@ it("reports a stop that did not confirm instead of showing it stopped", async ()
 });
 
 it("opens the model area even when a pending probe fences the editor, so recovery stays reachable", async () => {
+  editProfileAction.mockReturnValueOnce(false);
   const user = userEvent.setup();
   render(<R6Settings onDiagnostics={vi.fn()} />);
   await user.click(screen.getByRole("button", { name: "模型配置" }));
@@ -321,10 +325,13 @@ it("opens the model area even when a pending probe fences the editor, so recover
   expect(alert.textContent).toContain("待核对");
   // What changed is that the recovery entry no longer hides with the form it
   // is supposed to unlock.
-  expect(screen.getByRole("button", { name: "核对测试结果" })).toBeTruthy();
+  expect(
+    within(generationLane).getByRole("button", { name: "核对测试结果" }),
+  ).toBeTruthy();
 });
 
 it("reaches the same recovery entry when no model has been configured yet", async () => {
+  addProfileAction.mockReturnValueOnce(false);
   vi.mocked(getModelProfiles).mockResolvedValueOnce([]);
   const user = userEvent.setup();
   render(<R6Settings onDiagnostics={vi.fn()} />);
@@ -368,11 +375,46 @@ it("shows separate compact lanes and opens the requested presentation", async ()
   expect(embeddingLane.textContent).toContain("Embedding");
 
   await user.click(within(embeddingLane).getByRole("button", { name: "配置" }));
-  expect(screen.getByText("embedding")).toBeTruthy();
+  expect(await within(embeddingLane).findByText("embedding")).toBeTruthy();
+  expect(editProfileAction).toHaveBeenCalledTimes(1);
+  expect(editProfileAction).toHaveBeenLastCalledWith(
+    expect.objectContaining({ profile_id: "profile-1" }),
+  );
+  expect(embeddingLane.dataset.expanded).toBe("true");
+  expect(
+    within(embeddingLane)
+      .getByRole("button", { name: "收起" })
+      .getAttribute("aria-expanded"),
+  ).toBe("true");
   await user.click(
     within(generationLane).getByRole("button", { name: "配置" }),
   );
-  expect(screen.getByText("generation")).toBeTruthy();
+  expect(await within(generationLane).findByText("generation")).toBeTruthy();
+  expect(editProfileAction).toHaveBeenCalledTimes(2);
+  expect(generationLane.dataset.expanded).toBe("true");
+  expect(within(embeddingLane).queryByText("embedding")).toBeNull();
+
+  await user.click(
+    within(generationLane).getByRole("button", { name: "收起" }),
+  );
+  expect(
+    within(generationLane)
+      .getByText("generation")
+      .closest(".r6-model-owner")
+      ?.hasAttribute("hidden"),
+  ).toBe(true);
+
+  await user.click(
+    within(generationLane).getByRole("button", { name: "配置" }),
+  );
+  expect(editProfileAction).toHaveBeenCalledTimes(2);
+  expect(
+    within(generationLane)
+      .getByText("generation")
+      .closest(".r6-model-owner")
+      ?.hasAttribute("hidden"),
+  ).toBe(false);
+  expect(screen.queryByRole("alert")).toBeNull();
 });
 
 it("leaves the switch unusable when the state cannot be read", async () => {

memhub/apps/web/src/R6Settings.tsx

@@ -78,6 +78,7 @@ export function R6Settings({
   const [configurationOpen, setConfigurationOpen] = useState(false);
   const [configurationFocus, setConfigurationFocus] =
     useState<ModelSettingsFocusSection>("generation");
+  const [configurationRequest, setConfigurationRequest] = useState(0);
   const [memoryMode, setMemoryModeState] = useState<MemoryPipelineMode | null>(
     null,
   );
@@ -101,6 +102,10 @@ export function R6Settings({
   const [sedimentationUnavailable, setSedimentationUnavailable] =
     useState(false);
   const modelActions = useRef<ModelSettingsActions>(null);
+  const configurationStarted = useRef(false);
+  const configurationStartedFocus = useRef<ModelSettingsFocusSection | null>(
+    null,
+  );
   const quitPanel = useRef<HTMLElement>(null);
   const quitOpener = useRef<HTMLElement | null>(null);
   const currentModel = profiles?.find((profile) => profile.is_active) ?? null;
@@ -224,18 +229,49 @@ export function R6Settings({
   function openConfiguration(
     focusSection: ModelSettingsFocusSection = "generation",
   ) {
+    if (
+      configurationStarted.current &&
+      configurationStartedFocus.current === focusSection
+    ) {
+      setConfigurationFocus(focusSection);
+      setConfigurationOpen(true);
+      return;
+    }
     setConfigurationRefusal(false);
     setConfigurationFocus(focusSection);
+    configurationStarted.current = true;
+    configurationStartedFocus.current = focusSection;
+    setConfigurationOpen(true);
+    setConfigurationRequest((value) => value + 1);
+  }
+
+  // The focused editor can move between the two lanes. Fill it only after
+  // React has mounted it in the requested lane, otherwise an edit sent to the
+  // old lane would be lost during the move.
+  // biome-ignore lint/correctness/useExhaustiveDependencies: configurationRequest is the explicit intent trigger.
+  useEffect(() => {
+    if (!configurationOpen || configurationRequest === 0) return;
     const opened = currentModel
       ? modelActions.current?.editProfile(currentModel)
       : modelActions.current?.add();
-    // The area opens even when the editor refuses: the only recovery entry
-    // lives inside it, and hiding both is what locked people out of their own
-    // settings. They needed the form open to reach “核对测试结果”, and that
-    // button to clear the pending record that kept the form shut. The fence
-    // itself is untouched (see ModelSettings): refusing still returns false.
-    setConfigurationOpen(true);
+    // The area stays open even when the editor refuses: its recovery entry is
+    // the only way to reconcile the pending operation.
     if (!opened) setConfigurationRefusal(true);
+  }, [configurationRequest]);
+
+  function toggleConfiguration(focusSection: ModelSettingsFocusSection) {
+    if (configurationOpen && configurationFocus === focusSection) {
+      setConfigurationOpen(false);
+      return;
+    }
+    openConfiguration(focusSection);
+  }
+
+  function completeConfiguration() {
+    configurationStarted.current = false;
+    configurationStartedFocus.current = null;
+    setConfigurationRefusal(false);
+    setConfigurationOpen(false);
   }
 
   async function quitApplication() {
@@ -384,67 +420,156 @@ export function R6Settings({
               </div>
             )}
             <div className="r6-model-overview">
-              <div className="r6-model-lane">
-                <div className="r6-model-lane-copy">
-                  <h3>{text("记忆整理")}</h3>
-                  <p>{text("把会话理解并整理成可长期使用的记忆。")}</p>
-                  <strong>
-                    {currentModel?.name ??
-                      text(
-                        profiles === null
-                          ? "正在读取模型…"
-                          : modelError
-                            ? "模型状态暂不可读"
-                            : "尚未配置模型",
+              <section
+                className="r6-model-lane"
+                data-expanded={
+                  configurationOpen && configurationFocus === "generation"
+                    ? "true"
+                    : undefined
+                }
+              >
+                <div className="r6-model-lane-header">
+                  <div className="r6-model-lane-copy">
+                    <h3>{text("记忆整理")}</h3>
+                    <p>{text("把会话理解并整理成可长期使用的记忆。")}</p>
+                    <strong>
+                      {currentModel?.name ??
+                        text(
+                          profiles === null
+                            ? "正在读取模型…"
+                            : modelError
+                              ? "模型状态暂不可读"
+                              : "尚未配置模型",
+                        )}
+                    </strong>
+                    {currentModel && (
+                      <small>
+                        LLM · {currentModel.model} ·{" "}
+                        {text(safeEndpoint(currentModel.base_url))}
+                      </small>
+                    )}
+                  </div>
+                  <R6Button
+                    variant="quiet"
+                    disabled={profiles === null}
+                    aria-expanded={
+                      configurationOpen && configurationFocus === "generation"
+                    }
+                    aria-controls={
+                      configurationFocus === "generation"
+                        ? `${id}-generation-configuration`
+                        : undefined
+                    }
+                    onClick={() => toggleConfiguration("generation")}
+                  >
+                    {configurationOpen && configurationFocus === "generation"
+                      ? t("wb.collapse")
+                      : text(currentModel ? "配置" : "配置模型")}
+                  </R6Button>
+                </div>
+                {configurationFocus === "generation" && (
+                  <section
+                    id={`${id}-generation-configuration`}
+                    className="r6-model-owner"
+                    hidden={!configurationOpen}
+                    aria-label={text("模型配置表单")}
+                  >
+                    {configurationRefusal && (
+                      <p role="alert" className="r6-settings-error">
+                        {text(
+                          "上次模型测试或创建还待核对，配置暂时不能改动。请先在下方模型配置区核对结果； 现有配置和原文不会被改动。",
+                        )}
+                      </p>
+                    )}
+                    <ModelSettings
+                      compactSingle
+                      focusSection={configurationFocus}
+                      controlsRef={modelActions}
+                      onProfilesChanged={() =>
+                        setModelVersion((value) => value + 1)
+                      }
+                      onSetupComplete={completeConfiguration}
+                    />
+                  </section>
+                )}
+              </section>
+              <section
+                className="r6-model-lane"
+                data-expanded={
+                  configurationOpen && configurationFocus === "embedding"
+                    ? "true"
+                    : undefined
+                }
+              >
+                <div className="r6-model-lane-header">
+                  <div className="r6-model-lane-copy">
+                    <h3>{text("记忆搜索")}</h3>
+                    <p>{text("在需要时找到与你的问题最相关的记忆。")}</p>
+                    <strong>
+                      {text(
+                        currentModel?.embedding_provider_kind &&
+                          currentModel.embedding_provider_kind !==
+                            "local_onnx" &&
+                          currentModel.embedding_model
+                          ? currentModel.embedding_model
+                          : "本地内置（推荐）",
                       )}
-                  </strong>
-                  {currentModel && (
+                    </strong>
                     <small>
-                      LLM · {currentModel.model} ·{" "}
-                      {text(safeEndpoint(currentModel.base_url))}
+                      {text(
+                        currentModel?.embedding_provider_kind &&
+                          currentModel.embedding_provider_kind !== "local_onnx"
+                          ? `Embedding · ${currentModel.embedding_provider_kind}`
+                          : profiles !== null && !currentModel
+                            ? "Embedding · 配置记忆整理后可自定义"
+                            : "Embedding · 本机处理，无需额外配置",
+                      )}
                     </small>
-                  )}
+                  </div>
+                  <R6Button
+                    variant="quiet"
+                    disabled={profiles === null || !currentModel}
+                    aria-expanded={
+                      configurationOpen && configurationFocus === "embedding"
+                    }
+                    aria-controls={
+                      configurationFocus === "embedding"
+                        ? `${id}-embedding-configuration`
+                        : undefined
+                    }
+                    onClick={() => toggleConfiguration("embedding")}
+                  >
+                    {configurationOpen && configurationFocus === "embedding"
+                      ? t("wb.collapse")
+                      : text("配置")}
+                  </R6Button>
                 </div>
-                <R6Button
-                  variant="quiet"
-                  disabled={profiles === null}
-                  onClick={() => openConfiguration("generation")}
-                >
-                  {text(currentModel ? "配置" : "配置模型")}
-                </R6Button>
-              </div>
-              <div className="r6-model-lane">
-                <div className="r6-model-lane-copy">
-                  <h3>{text("记忆搜索")}</h3>
-                  <p>{text("在需要时找到与你的问题最相关的记忆。")}</p>
-                  <strong>
-                    {text(
-                      currentModel?.embedding_provider_kind &&
-                        currentModel.embedding_provider_kind !== "local_onnx" &&
-                        currentModel.embedding_model
-                        ? currentModel.embedding_model
-                        : "本地内置（推荐）",
+                {configurationFocus === "embedding" && (
+                  <section
+                    id={`${id}-embedding-configuration`}
+                    className="r6-model-owner"
+                    hidden={!configurationOpen}
+                    aria-label={text("模型配置表单")}
+                  >
+                    {configurationRefusal && (
+                      <p role="alert" className="r6-settings-error">
+                        {text(
+                          "上次模型测试或创建还待核对，配置暂时不能改动。请先在下方模型配置区核对结果； 现有配置和原文不会被改动。",
+                        )}
+                      </p>
                     )}
-                  </strong>
-                  <small>
-                    {text(
-                      currentModel?.embedding_provider_kind &&
-                        currentModel.embedding_provider_kind !== "local_onnx"
-                        ? `Embedding · ${currentModel.embedding_provider_kind}`
-                        : profiles !== null && !currentModel
-                          ? "Embedding · 配置记忆整理后可自定义"
-                          : "Embedding · 本机处理，无需额外配置",
-                    )}
-                  </small>
-                </div>
-                <R6Button
-                  variant="quiet"
-                  disabled={profiles === null || !currentModel}
-                  onClick={() => openConfiguration("embedding")}
-                >
-                  {text("配置")}
-                </R6Button>
-              </div>
+                    <ModelSettings
+                      compactSingle
+                      focusSection={configurationFocus}
+                      controlsRef={modelActions}
+                      onProfilesChanged={() =>
+                        setModelVersion((value) => value + 1)
+                      }
+                      onSetupComplete={completeConfiguration}
+                    />
+                  </section>
+                )}
+              </section>
             </div>
             {modelError && (
               <R6StateRecovery
@@ -456,13 +581,6 @@ export function R6Settings({
                 onRetry={() => setModelVersion((value) => value + 1)}
               />
             )}
-            {configurationRefusal && (
-              <p role="alert" className="r6-settings-error">
-                {text(
-                  "上次模型测试或创建还待核对，配置暂时不能改动。请先在下方模型配置区核对结果； 现有配置和原文不会被改动。",
-                )}
-              </p>
-            )}
             {currentModel && memoryMode !== "lite" && (
               <div className="r6-setting-row">
                 <div>
@@ -499,19 +617,6 @@ export function R6Settings({
                 )}
               </p>
             )}
-            <section
-              className="r6-model-owner"
-              hidden={!configurationOpen}
-              aria-label={text("模型配置表单")}
-            >
-              <ModelSettings
-                compactSingle
-                focusSection={configurationFocus}
-                controlsRef={modelActions}
-                onProfilesChanged={() => setModelVersion((value) => value + 1)}
-                onSetupComplete={() => setConfigurationOpen(false)}
-              />
-            </section>
           </section>
           <section
             id={`${id}-panel-connections`}

memhub/apps/web/src/R6SettingsLayout.test.ts

@@ -0,0 +1,22 @@
+import { readFileSync } from "node:fs";
+import { expect, it } from "vitest";
+
+function declaration(file: string, selector: string): string {
+  const css = readFileSync(new URL(`./${file}`, import.meta.url), "utf8");
+  const escaped = selector.replace(/[.*+?^${}()|[\]\\]/g, "\\$&");
+  return css.match(new RegExp(`${escaped}\\s*\\{([^}]*)\\}`))?.[1] ?? "";
+}
+
+it("fills settings controls without widening shared fallback controls", () => {
+  for (const selector of [
+    ".r6-memory-mode-settings .memory-mode-choice-list",
+    ".r6-settings .connection-fallback .custom-harness-name",
+  ]) {
+    const rule = declaration("r6-settings.css", selector);
+    expect(rule, selector).toMatch(/(?:^|[\s;])width:\s*100%\s*;/);
+    expect(rule, selector).toMatch(/(?:^|[\s;])max-width:\s*none\s*;/);
+  }
+  expect(declaration("core-visual.css", ".custom-harness-name")).toMatch(
+    /(?:^|[\s;])max-width:\s*420px\s*;/,
+  );
+});

memhub/apps/web/src/SdkRawHistory.tsx

@@ -3,6 +3,7 @@ import { type FormEvent, useEffect, useRef, useState } from "react";
 import { getSdkRaw, searchSdkRaw } from "./api";
 import { useGuiLanguage } from "./gui-language";
 import { subscribePoll } from "./poll-scheduler";
+import { rawRecordId } from "./sdk-raw-map";
 
 export function SdkRawHistory({ active = true }: { active?: boolean }) {
   const { locale, t, tn } = useGuiLanguage();
@@ -121,7 +122,7 @@ export function SdkRawHistory({ active = true }: { active?: boolean }) {
       ) : null}
       <ol>
         {items.map((item) => (
-          <li key={item.raw_id}>
+          <li key={rawRecordId(item)}>
             <p>{item.content}</p>
             <small>
               {item.source} · {item.session_id}
@@ -140,6 +141,9 @@ function asContextItem(item: SdkRawRecord): SdkRawContextItem {
   return {
     kind: "raw",
     raw_id: item.raw_id,
+    turn_id: item.turn_id,
+    turn_index: item.turn_index,
+    turn_count: item.turn_count,
     content: item.content,
     source: item.source,
     session_id: item.session_id,

memhub/apps/web/src/SelectedRawDetail.tsx

@@ -5,7 +5,7 @@ import type {
 } from "@one-memory/contracts";
 import { clockStamp } from "./clock-stamp";
 import { useGuiLanguage } from "./gui-language";
-import { rawRecordTime } from "./sdk-raw-map";
+import { rawRecordId, rawRecordTime } from "./sdk-raw-map";
 import { sourceNameOr, UNATTRIBUTED_SOURCE_ID } from "./source-label";
 
 type RawRecord = SdkRawRecord | SdkRawContextItem;
@@ -50,7 +50,7 @@ export function SelectedRawDetail({
       <p className="selected-memory-status">{t("memory:原始对话")}</p>
       <ul className="map-transcript">
         {messages.map((message) => (
-          <li key={`${record.raw_id}:${message.role}:${message.content}`}>
+          <li key={`${rawRecordId(record)}:${message.role}:${message.content}`}>
             <small>{authorLabel(message.role, t)}</small>
             <p>{message.content}</p>
           </li>

memhub/apps/web/src/api.raw.test.ts

@@ -32,6 +32,7 @@ it("lists raw conversations for the selected application", async () => {
       session_id: undefined,
       offset: 20,
       limit: 20,
+      unit: "turn",
     },
     signal,
   });
@@ -49,6 +50,7 @@ it("keeps the application filter when searching raw conversations", async () =>
       query: "release plan",
       kinds: ["raw"],
       include_sources: ["claude-code"],
+      raw_unit: "turn",
       limit: 20,
       character_budget: 12_000,
     },

memhub/apps/web/src/api.ts

@@ -986,16 +986,18 @@ export async function getSdkRaw({
   sessionId,
   offset = 0,
   limit = 100,
+  unit = "turn",
   signal,
 }: {
   source?: string;
   sessionId?: string;
   offset?: number;
   limit?: number;
+  unit?: "raw" | "turn";
   signal?: AbortSignal;
 } = {}): Promise<SdkRawPage> {
   const response = await client.get<SdkRawPage>("/api/v2/raw", {
-    params: { source, session_id: sessionId, offset, limit },
+    params: { source, session_id: sessionId, offset, limit, unit },
     signal,
   });
   return response.data;
@@ -1011,6 +1013,7 @@ export async function searchSdkRaw(
       query,
       kinds: ["raw"],
       ...(options.source ? { include_sources: [options.source] } : {}),
+      raw_unit: "turn",
       limit: 20,
       character_budget: 12_000,
     },

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

@@ -132,12 +132,17 @@ button svg {
   content: "";
   position: absolute;
   right: 18px;
-  top: 22px;
+  top: 50%;
   width: 8px;
   height: 8px;
   border-right: 1.5px solid #4e6478;
   border-bottom: 1.5px solid #4e6478;
-  transform: rotate(45deg);
+  transform: translateY(-65%) rotate(45deg);
+  transform-origin: 50% 50%;
+  transition: transform 150ms ease-out;
+}
+.om-option-menu-button[aria-expanded="true"]::after {
+  transform: translateY(-35%) rotate(225deg);
 }
 .om-option-menu-button:disabled {
   color: #66727b;
@@ -981,6 +986,14 @@ button.map-tool {
   background: #fff;
   box-shadow: var(--shadow-pop);
 }
+.memory-graph-fallback-topic {
+  display: block;
+  width: 100%;
+  margin-block: 6px;
+  padding: 8px 14px;
+  color: var(--tx2);
+  overflow-wrap: anywhere;
+}
 .graph-labels {
   position: absolute;
   inset: 0;

memhub/apps/web/src/home-view-model.test.ts

@@ -38,7 +38,7 @@ const base = {
 
 describe("home view model", () => {
   it.each([
-    ["lite", "raw", "apps.rawConversations", "apps.rawSaving"],
+    ["lite", "raw", "apps.rawConversations", "apps.rawSavingCompact"],
     ["pro", "memory", "apps.memories", "apps.running"],
     ["ultra", "memory", "apps.memories", "apps.running"],
   ] as const)(
@@ -109,7 +109,7 @@ describe("home view model", () => {
       } as never,
     });
     expect(result.recentMetric).toEqual({
-      valueKey: "apps.rawCheckedEmpty",
+      valueKey: "apps.recentEmptyCompact",
       detailKey: "apps.checkedRecent",
     });
     expect(result.activity).toMatchObject({
@@ -158,9 +158,10 @@ describe("home view model", () => {
       projectionState: "ready",
     });
     expect(result.recentMetric).toEqual({
-      valueKey: "apps.memoryCheckedEmpty",
+      valueKey: "apps.recentEmptyCompact",
       detailKey: "apps.checkedRecent",
     });
+    expect(result.activity.titleKey).toBe("apps.memoryCheckedEmpty");
     expect(result.activity.kind).toBe("empty");
   });
 

memhub/apps/web/src/home-view-model.ts

@@ -40,11 +40,7 @@ export interface HomeViewModel {
     emptyExcerpt: boolean;
   } | null;
   recentMetric: {
-    valueKey:
-      | "apps.checkingRecent"
-      | "apps.rawCheckedEmpty"
-      | "apps.memoryCheckedEmpty"
-      | null;
+    valueKey: "apps.checkingRecent" | "apps.recentEmptyCompact" | null;
     detailKey:
       | "apps.rawSaved"
       | "apps.saved"
@@ -120,7 +116,7 @@ export function buildHomeViewModel(input: {
   const sedimenting = input.sedimentation?.enabled;
   const processingLabel =
     !generationRequired || mode === "lite"
-      ? "apps.rawSaving"
+      ? "apps.rawSavingCompact"
       : sedimenting === true
         ? "apps.running"
         : sedimenting === false
@@ -179,10 +175,7 @@ export function buildHomeViewModel(input: {
         }
       : state === "ready" || state === "stale"
         ? {
-            valueKey:
-              plane === "raw"
-                ? ("apps.rawCheckedEmpty" as const)
-                : ("apps.memoryCheckedEmpty" as const),
+            valueKey: "apps.recentEmptyCompact" as const,
             detailKey: "apps.checkedRecent" as const,
           }
         : {

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

@@ -76,7 +76,6 @@
   text-overflow: ellipsis;
 }
 .onboarding-r6-titlebar .r6-language-option-menu .om-option-menu-button::after {
-  top: 10px;
   right: 11px;
 }
 .onboarding-r6-titlebar

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

@@ -66,7 +66,6 @@
   text-overflow: ellipsis;
 }
 .r6-settings .r6-language-option-menu .om-option-menu-button::after {
-  top: 16px;
   right: 16px;
 }
 .r6-settings
@@ -229,7 +228,8 @@
   line-height: 22px;
 }
 .r6-memory-mode-settings .memory-mode-choice-list {
-  max-width: 760px;
+  width: 100%;
+  max-width: none;
 }
 .r6-settings-note {
   margin: 14px 0 0;
@@ -482,7 +482,8 @@
   text-wrap: pretty;
 }
 .r6-settings .connection-fallback .custom-harness-name {
-  max-width: 560px;
+  width: 100%;
+  max-width: none;
   gap: 8px;
   margin: 0 0 14px;
   color: #4f6373;
@@ -596,6 +597,12 @@
   background: #fff;
 }
 .r6-settings .r6-model-lane {
+  min-height: 108px;
+}
+.r6-settings .r6-model-lane[data-expanded="true"] {
+  background: #f8fafb;
+}
+.r6-settings .r6-model-lane-header {
   display: grid;
   grid-template-columns: minmax(0, 1fr) auto;
   align-items: center;
@@ -639,7 +646,7 @@
   font-size: 12px;
   line-height: 20px;
 }
-.r6-settings .r6-model-lane > .r6-button {
+.r6-settings .r6-model-lane-header > .r6-button {
   min-width: 72px;
 }
 .r6-settings .r6-model-recipient {
@@ -690,8 +697,9 @@
   line-height: 28px;
 }
 .r6-settings .r6-model-owner {
-  padding-top: 24px;
+  padding: 24px 20px;
   border-top: 1px solid #d8e2ea;
+  background: #f8fafb;
 }
 .r6-settings .r6-model-owner[hidden] {
   display: none;
@@ -847,7 +855,6 @@
   font-size: 14px;
 }
 .r6-settings .model-form .om-option-menu-button::after {
-  top: 16px;
   right: 16px;
 }
 .r6-settings .model-form .om-option-menu-button[aria-expanded="true"] {
@@ -866,6 +873,39 @@
   outline: 2px solid var(--r6-focus);
   outline-offset: 2px;
 }
+.r6-settings .model-option-label {
+  display: block;
+  margin: 0;
+}
+.model-option-menu-panel {
+  padding: 6px;
+  border-color: var(--r6-control-edge, #c0ccd5);
+  box-shadow: 0 12px 32px rgb(48 71 87 / 13%);
+}
+.model-option-menu-panel [role="option"] {
+  min-height: 40px;
+  padding: 8px 10px;
+  color: #304757;
+  font-size: 14px;
+  line-height: 22px;
+}
+.model-option-menu-panel [role="option"][aria-selected="true"] {
+  background: #dfe9ef;
+  font-weight: 500;
+}
+.om-option-menu-panel.model-option-menu-panel
+  [role="option"][data-active="true"] {
+  color: #304757;
+  background: #e9f0f4;
+}
+.om-option-menu-panel.model-option-menu-panel
+  [role="option"]:hover:not(:disabled) {
+  color: #304757;
+  background: #e9f0f4;
+}
+.model-option-menu-panel [role="option"]:active:not(:disabled) {
+  background: #d4e2ea;
+}
 .r6-settings .model-advanced {
   grid-column: 1 / -1;
 }
@@ -884,7 +924,8 @@
   font-size: 13px;
   line-height: 21px;
 }
-.r6-settings .model-advanced label {
+.r6-settings .model-advanced label,
+.r6-settings .model-advanced .model-form-field {
   display: flex;
   flex-direction: column;
   gap: 8px;
@@ -988,14 +1029,17 @@
     padding: 24px 20px;
     border-radius: 0 0 11px 11px;
   }
-  .r6-settings .r6-model-lane {
+  .r6-settings .r6-model-lane-header {
     grid-template-columns: minmax(0, 1fr);
     gap: 12px;
     padding: 16px;
   }
-  .r6-settings .r6-model-lane > .r6-button {
+  .r6-settings .r6-model-lane-header > .r6-button {
     justify-self: start;
   }
+  .r6-settings .r6-model-owner {
+    padding: 20px 16px;
+  }
   .r6-settings .r6-language-setting-row {
     grid-template-columns: minmax(0, 1fr);
     gap: 8px;

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

@@ -76,4 +76,28 @@ describe("raw map projection", () => {
       history: [],
     });
   });
+
+  it("uses a turn identity while retaining the parent raw id", () => {
+    const turn = {
+      ...record,
+      raw_id: "raw-batch",
+      turn_id: "raw-turn:batch:1",
+      turn_index: 1,
+      turn_count: 2,
+      content: "[user]: second question\n[assistant]: second answer",
+      messages: [
+        { role: "user", content: "second question" },
+        { role: "assistant", content: "second answer" },
+      ],
+    };
+
+    expect(
+      rawLibraryPage({ items: [turn], total: 2, offset: 0, limit: 20 }),
+    ).toMatchObject({
+      items: [{ memory_id: "raw-turn:batch:1", content: turn.content }],
+      source_ids_by_memory: { "raw-turn:batch:1": ["cursor"] },
+    });
+    expect(rawDetail(turn).memory.memory_id).toBe("raw-turn:batch:1");
+    expect(turn.raw_id).toBe("raw-batch");
+  });
 });

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

@@ -9,6 +9,10 @@ import type {
 
 export type RawMapRecord = SdkRawRecord | SdkRawContextItem;
 
+export function rawRecordId(record: RawMapRecord): string {
+  return record.turn_id || record.raw_id;
+}
+
 const EARLIEST_PLAUSIBLE = Date.UTC(2000, 0, 1);
 const LATEST_PLAUSIBLE = () => Date.now() + 86_400_000;
 
@@ -43,7 +47,7 @@ function sourceOf(record: RawMapRecord): string {
 export function rawMapMemory(record: RawMapRecord): GovernedMemory {
   const created = rawRecordTime(record) ?? "";
   return {
-    memory_id: record.raw_id,
+    memory_id: rawRecordId(record),
     user_id: "user_id" in record ? record.user_id : "local",
     kind: "chat",
     status: "confirmed",
@@ -75,17 +79,18 @@ function pageFor(
     { at: string; basis: "conversation" | "import" }
   > = {};
   for (const record of records) {
-    sourceIds[record.raw_id] = [sourceOf(record)];
+    const recordId = rawRecordId(record);
+    sourceIds[recordId] = [sourceOf(record)];
     const conversationAt = isoTime(record.memory_at);
     const importedAt =
       "gmt_created" in record ? isoTime(record.gmt_created) : "";
     if (conversationAt)
-      sourceTime[record.raw_id] = {
+      sourceTime[recordId] = {
         at: conversationAt,
         basis: "conversation",
       };
     else if (importedAt)
-      sourceTime[record.raw_id] = { at: importedAt, basis: "import" };
+      sourceTime[recordId] = { at: importedAt, basis: "import" };
   }
   return {
     items: records.map(rawMapMemory),

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

@@ -97,7 +97,6 @@
   border-color: transparent;
 }
 .selected-source-filter .om-option-menu-button::after {
-  top: 18px;
   right: 4px;
 }
 .selected-source-filter details {

memhub/docs/INSTALLATION.md

@@ -1,6 +1,6 @@
 # MemHub 安装与发行
 
-MemHub `v1.0.6`（build 39）的发行目标如下：
+MemHub `v1.0.6`（build 40）的发行目标如下：
 
 | 平台 | 发行物 | 构建与验收 |
 | --- | --- | --- |

memhub/docs/contracts/memory-mode-evolve-v1.md

@@ -12,7 +12,7 @@ memory route. `user_id` is optional (default `local`) and must match
 
 | Mode | SDK client | What happens to a conversation | What search reads |
 |---|---|---|---|
-| `lite` | `mode="lite"` | Stored as one raw turn with one embedding. No model call; no generation model needs to be configured. | Raw turns only (the SDK forces `L1_RAW`). |
+| `lite` | `mode="lite"` | Stored in embedded L1 raw batches. No model call; no generation model needs to be configured. The product page projects each batch back into individual conversation turns. | Raw turns only (the SDK forces `L1_RAW`). |
 | `pro` (default) | `mode="pro"` | Stored as raw, then a model extracts memories (System 1). The raw becomes SHADOW once extraction succeeds. | Extracted memories (facts, profile, intentions). |
 | `ultra` | `mode="ultra"` | Same as pro, and new facts are also projected into the knowledge graph. Every night, evolve runs System 2 for every user. | Same as pro, plus the graph-backed lanes below. |
 

memhub/package.json

@@ -2,7 +2,7 @@
   "name": "one-memory",
   "version": "1.0.6",
   "release": {
-    "build_number": 39,
+    "build_number": 40,
     "macos_min_version": "13.0",
     "app_update": "manual",
     "runtime_manifest_schema": 1,

memhub/packages/contracts/src/context.ts

@@ -87,7 +87,12 @@ export interface ContextSearchResponse {
 
 export interface SdkRawContextItem {
   kind: "raw";
+  /** Parent SDK L1 raw storage batch. */
   raw_id: string;
+  /** Stable product identity of one turn inside `raw_id`, when requested. */
+  turn_id?: string | null;
+  turn_index?: number | null;
+  turn_count?: number | null;
   content: string;
   source: string;
   session_id: string;

memhub/packages/contracts/src/index.ts

@@ -675,7 +675,12 @@ export interface SdkUserProfileResponse {
 }
 
 export interface SdkRawRecord {
+  /** Parent SDK L1 raw storage batch. */
   raw_id: string;
+  /** Stable product identity of one turn inside `raw_id`, when unit=turn. */
+  turn_id?: string | null;
+  turn_index?: number | null;
+  turn_count?: number | null;
   content: string;
   user_id: string;
   agent_id: string;
@@ -703,6 +708,7 @@ export interface SdkRawPage {
   total: number;
   limit: number;
   offset: number;
+  unit?: "raw" | "turn";
   /** A time range was applied to this page in Core (the SDK list has none). */
   time_filtered?: boolean;
 }

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

@@ -9,6 +9,7 @@ export const applicationsChineseMessages = {
   "apps.memories": "已沉淀记忆",
   "apps.rawConversations": "原始对话",
   "apps.rawSaving": "正在保存原始对话",
+  "apps.rawSavingCompact": "正在保存",
   "apps.rawSavingStatus": "保存状态",
   "apps.rawSavingDetail": "原始对话持续保存，不需要生成模型",
   "apps.rawNoExcerpt": "这条对话没有可显示的用户原文",
@@ -17,6 +18,7 @@ export const applicationsChineseMessages = {
   "apps.rawEmpty": "还没有保存的原始对话",
   "apps.rawCheckedEmpty": "已核对，暂无可显示的原始对话更新",
   "apps.memoryCheckedEmpty": "已核对，暂无可显示的记忆更新",
+  "apps.recentEmptyCompact": "暂无更新",
   "apps.rawWaiting": "原始对话保存后会显示在这里",
   "apps.checkedRecent": "已核对当前内容",
   "apps.currentMode": "当前模式",
@@ -149,6 +151,7 @@ export const applicationsSpanishMessages: Record<
   "apps.memories": "Memorias guardadas",
   "apps.rawConversations": "Conversaciones originales",
   "apps.rawSaving": "Guardando",
+  "apps.rawSavingCompact": "Guardando",
   "apps.rawSavingStatus": "Estado de guardado",
   "apps.rawSavingDetail":
     "Las conversaciones originales se guardan sin un modelo generativo",
@@ -160,6 +163,7 @@ export const applicationsSpanishMessages: Record<
     "Comprobado: no hay actualizaciones de conversaciones para mostrar",
   "apps.memoryCheckedEmpty":
     "Comprobado: no hay actualizaciones de memorias para mostrar",
+  "apps.recentEmptyCompact": "Sin novedades",
   "apps.rawWaiting":
     "Las conversaciones originales aparecerán aquí cuando se guarden",
   "apps.checkedRecent": "Contenido actual comprobado",

memhub/packages/i18n/src/gui-i18n-catalogs.test.ts

@@ -275,9 +275,10 @@ describe("Mode catalog", () => {
       "搜索沉淀记忆，并用知识图谱补充关联。",
       "搜索沉淀后的记忆。",
       "已经处理完的旧对话不会补做；原始对话全部保留。",
-      "已有记忆继续保留，但高级记忆在当前模式下不显示、不参与召回。",
+      "知识图谱",
+      "普通沉淀记忆仍可使用；深度记忆新增的更高层记忆和图谱数据继续保留，但在智能记忆下不显示、不参与召回。原始对话不会删除。",
       "已有记忆会在后台加入知识图谱，期间仍可使用。",
-      "普通沉淀记忆仍可使用；更高层记忆和图谱数据继续保留，但不参与当前召回；每天自动整合会停止。",
+      "每天自动整合会停止，已经生成的数据不会删除。",
       "记忆维护正在进行，完成后才能切换模式。",
       "模式切换影响暂时无法读取，请重试。",
     ] as const;

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

@@ -1345,6 +1345,7 @@ const baseEnglishMessages = {
   "apps.memories": "Saved memories",
   "apps.rawConversations": "Original conversations",
   "apps.rawSaving": "Saving",
+  "apps.rawSavingCompact": "Saving",
   "apps.rawSavingStatus": "Saving status",
   "apps.rawSavingDetail":
     "Original conversations are saved without a generation model",
@@ -1355,6 +1356,7 @@ const baseEnglishMessages = {
   "apps.rawCheckedEmpty":
     "Checked: no original-conversation updates to display",
   "apps.memoryCheckedEmpty": "Checked: no memory updates to display",
+  "apps.recentEmptyCompact": "No updates",
   "apps.rawWaiting": "Original conversations will appear here when saved",
   "apps.checkedRecent": "Current content checked",
   "apps.currentMode": "Current mode",

memhub/packages/i18n/src/gui-i18n-locales.test.ts

@@ -24,6 +24,8 @@ const ENGLISH_EQUIVALENT_ALLOWED = new Set<MessageKey>([
 
 const keys = Object.keys(chineseMessages) as MessageKey[];
 const rawSavingStatusKey = "apps.rawSavingStatus" satisfies MessageKey;
+const rawSavingCompactKey = "apps.rawSavingCompact" satisfies MessageKey;
+const recentEmptyCompactKey = "apps.recentEmptyCompact" satisfies MessageKey;
 
 const rawSavingStatusTranslations = {
   en: "Saving status",
@@ -39,6 +41,23 @@ const rawSavingStatusTranslations = {
   id: "Status penyimpanan",
 } as const satisfies Record<(typeof SUPPORTED_LOCALES)[number], string>;
 
+const compactHomeTranslations = {
+  en: ["Saving", "No updates"],
+  "zh-Hans": ["正在保存", "暂无更新"],
+  "zh-Hant": ["儲存中", "暫無更新"],
+  ja: ["保存中", "更新なし"],
+  es: ["Guardando", "Sin novedades"],
+  de: ["Wird gespeichert", "Keine Updates"],
+  pt: ["Salvando", "Sem atualizações"],
+  fr: ["Enregistrement", "Aucune mise à jour"],
+  ko: ["저장 중", "업데이트 없음"],
+  ru: ["Сохранение", "Нет обновлений"],
+  id: ["Menyimpan", "Belum ada pembaruan"],
+} as const satisfies Record<
+  (typeof SUPPORTED_LOCALES)[number],
+  readonly [string, string]
+>;
+
 describe.each(SUPPORTED_LOCALES)("%s catalog", (locale) => {
   const catalog = guiMessages[locale];
 
@@ -100,6 +119,14 @@ describe("applications catalog", () => {
         rawSavingStatusTranslations[locale],
       );
   });
+
+  it("keeps large home metric copy compact in all 11 locales", () => {
+    for (const locale of SUPPORTED_LOCALES) {
+      const [saving, empty] = compactHomeTranslations[locale];
+      expect(guiMessages[locale][rawSavingCompactKey]).toBe(saving);
+      expect(guiMessages[locale][recentEmptyCompactKey]).toBe(empty);
+    }
+  });
 });
 
 describe("embedding switch catalog", () => {

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

@@ -47,7 +47,7 @@ const modeChineseMessages = {
   "以前生成的高级记忆会继续保留，但在 lite 下不会显示或参与记忆召回。":
     "高级记忆会保留，但在 lite 下不显示、不参与召回。",
   "每天自动整合会停止，已经生成的数据不会删除。":
-    "自动整合会停止，已有数据保留。",
+    "每天自动整合会停止；已生成的整合结果继续保留。",
   "已有高级记忆会在后台加入知识图谱，期间可以继续使用 MemHub。":
     "已有高级记忆将在后台加入知识图谱。",
   "知识图谱仍在补建，不会重复启动。": "知识图谱仍在补建，不会重复启动。",
@@ -97,6 +97,7 @@ const modeChineseMessages = {
   模型调用与费用: "模型调用与费用",
   搜索范围: "搜索范围",
   已有数据: "已有数据",
+  知识图谱: "知识图谱",
   切换后: "切换后",
   "之后只保存原始对话，不再生成新记忆。":
     "之后只保存原始对话，不再生成新记忆。",
@@ -295,6 +296,7 @@ export const modeEnglishMessages: ModeMessages = {
   模型调用与费用: "Model calls and cost",
   搜索范围: "Search scope",
   已有数据: "Existing data",
+  知识图谱: "Knowledge graph",
   切换后: "After switching",
   "之后只保存原始对话，不再生成新记忆。":
     "New conversations are saved as original text only; no new memories are created.",
@@ -498,6 +500,7 @@ export const modeSpanishMessages: ModeMessages = {
   模型调用与费用: "Llamadas al modelo y coste",
   搜索范围: "Ámbito de búsqueda",
   已有数据: "Datos existentes",
+  知识图谱: "Grafo de conocimiento",
   切换后: "Después del cambio",
   "之后只保存原始对话，不再生成新记忆。":
     "Las conversaciones nuevas se guardan solo como texto original; no se crean memorias nuevas.",
@@ -693,6 +696,7 @@ export const modeTraditionalChineseMessages: ModeMessages = {
   模型调用与费用: "模型呼叫與費用",
   搜索范围: "搜尋範圍",
   已有数据: "現有資料",
+  知识图谱: "知識圖譜",
   切换后: "切換後",
   "之后只保存原始对话，不再生成新记忆。":
     "之後只儲存原始對話，不再產生新記憶。",
@@ -843,6 +847,7 @@ export const modeJapaneseMessages: ModeMessages = {
   模型调用与费用: "モデル呼び出しと料金",
   搜索范围: "検索範囲",
   已有数据: "既存データ",
+  知识图谱: "ナレッジグラフ",
   切换后: "切り替え後",
   "之后只保存原始对话，不再生成新记忆。":
     "以降は元の会話のみを保存し、新しい記憶は生成しません。",
@@ -1043,6 +1048,7 @@ export const modeGermanMessages: ModeMessages = {
   模型调用与费用: "Modellaufrufe und Kosten",
   搜索范围: "Suchbereich",
   已有数据: "Vorhandene Daten",
+  知识图谱: "Wissensgraph",
   切换后: "Nach dem Wechsel",
   "之后只保存原始对话，不再生成新记忆。":
     "Neue Unterhaltungen werden nur noch im Original gespeichert; es werden keine neuen Erinnerungen erstellt.",
@@ -1246,6 +1252,7 @@ export const modePortugueseMessages: ModeMessages = {
   模型调用与费用: "Chamadas ao modelo e custos",
   搜索范围: "Âmbito da pesquisa",
   已有数据: "Dados existentes",
+  知识图谱: "Grafo de conhecimento",
   切换后: "Após a mudança",
   "之后只保存原始对话，不再生成新记忆。":
     "As novas conversas passam a ser guardadas apenas como texto original; não são criadas novas memórias.",
@@ -1451,6 +1458,7 @@ export const modeFrenchMessages: ModeMessages = {
   模型调用与费用: "Appels au modèle et coût",
   搜索范围: "Périmètre de recherche",
   已有数据: "Données existantes",
+  知识图谱: "Graphe de connaissances",
   切换后: "Après le changement",
   "之后只保存原始对话，不再生成新记忆。":
     "Les nouvelles conversations sont uniquement enregistrées dans leur forme originale ; aucune nouvelle mémoire n’est créée.",
@@ -1651,6 +1659,7 @@ export const modeKoreanMessages: ModeMessages = {
   模型调用与费用: "모델 호출 및 비용",
   搜索范围: "검색 범위",
   已有数据: "기존 데이터",
+  知识图谱: "지식 그래프",
   切换后: "전환 후",
   "之后只保存原始对话，不再生成新记忆。":
     "이후 새 대화는 원본만 저장되며 새 메모리는 생성되지 않습니다.",
@@ -1850,6 +1859,7 @@ export const modeRussianMessages: ModeMessages = {
   模型调用与费用: "Вызовы модели и расходы",
   搜索范围: "Область поиска",
   已有数据: "Существующие данные",
+  知识图谱: "Граф знаний",
   切换后: "После переключения",
   "之后只保存原始对话，不再生成新记忆。":
     "Новые диалоги будут сохраняться только в исходном виде; новые воспоминания создаваться не будут.",
@@ -2052,6 +2062,7 @@ export const modeIndonesianMessages: ModeMessages = {
   模型调用与费用: "Panggilan model dan biaya",
   搜索范围: "Cakupan pencarian",
   已有数据: "Data yang ada",
+  知识图谱: "Graf pengetahuan",
   切换后: "Setelah beralih",
   "之后只保存原始对话，不再生成新记忆。":
     "Percakapan baru hanya disimpan sebagai teks asli; tidak ada memori baru yang dibuat.",

memhub/packages/i18n/src/locales/gui-i18n-de.ts

@@ -1544,6 +1544,7 @@ export const germanMessages: Record<MessageKey, string> = {
   "apps.memories": "Gespeicherte Erinnerungen",
   "apps.rawConversations": "Originalunterhaltungen",
   "apps.rawSaving": "Wird gespeichert",
+  "apps.rawSavingCompact": "Wird gespeichert",
   "apps.rawSavingStatus": "Speicherstatus",
   "apps.rawSavingDetail":
     "Originalunterhaltungen werden ohne generatives Modell gespeichert",
@@ -1555,6 +1556,7 @@ export const germanMessages: Record<MessageKey, string> = {
     "Geprüft: keine anzeigbaren Aktualisierungen der Originalunterhaltungen",
   "apps.memoryCheckedEmpty":
     "Geprüft: keine anzeigbaren Erinnerungsaktualisierungen",
+  "apps.recentEmptyCompact": "Keine Updates",
   "apps.rawWaiting": "Gespeicherte Originalunterhaltungen erscheinen hier",
   "apps.checkedRecent": "Aktueller Inhalt geprüft",
   "apps.currentMode": "Aktueller Modus",

memhub/packages/i18n/src/locales/gui-i18n-fr.ts

@@ -1565,6 +1565,7 @@ export const frenchMessages: Record<MessageKey, string> = {
   "apps.memories": "Mémoires enregistrées",
   "apps.rawConversations": "Conversations d’origine",
   "apps.rawSaving": "Enregistrement",
+  "apps.rawSavingCompact": "Enregistrement",
   "apps.rawSavingStatus": "État de l’enregistrement",
   "apps.rawSavingDetail":
     "Les conversations d’origine sont enregistrées sans modèle génératif",
@@ -1576,6 +1577,7 @@ export const frenchMessages: Record<MessageKey, string> = {
     "Vérifié : aucune mise à jour de conversation à afficher",
   "apps.memoryCheckedEmpty":
     "Vérifié : aucune mise à jour de mémoire à afficher",
+  "apps.recentEmptyCompact": "Aucune mise à jour",
   "apps.rawWaiting":
     "Les conversations d’origine enregistrées apparaîtront ici",
   "apps.checkedRecent": "Contenu actuel vérifié",

memhub/packages/i18n/src/locales/gui-i18n-id.ts

@@ -1519,6 +1519,7 @@ export const indonesianMessages: Record<MessageKey, string> = {
   "apps.memories": "Memori tersimpan",
   "apps.rawConversations": "Percakapan asli",
   "apps.rawSaving": "Menyimpan",
+  "apps.rawSavingCompact": "Menyimpan",
   "apps.rawSavingStatus": "Status penyimpanan",
   "apps.rawSavingDetail": "Percakapan asli disimpan tanpa model generatif",
   "apps.rawNoExcerpt": "Tidak ada kutipan pengguna yang dapat ditampilkan",
@@ -1529,6 +1530,7 @@ export const indonesianMessages: Record<MessageKey, string> = {
     "Diperiksa: tidak ada pembaruan percakapan untuk ditampilkan",
   "apps.memoryCheckedEmpty":
     "Diperiksa: tidak ada pembaruan memori untuk ditampilkan",
+  "apps.recentEmptyCompact": "Belum ada pembaruan",
   "apps.rawWaiting": "Percakapan asli yang disimpan akan muncul di sini",
   "apps.checkedRecent": "Konten saat ini telah diperiksa",
   "apps.currentMode": "Mode saat ini",

memhub/packages/i18n/src/locales/gui-i18n-ja.ts

@@ -1516,6 +1516,7 @@ export const japaneseMessages: Record<MessageKey, string> = {
   "apps.memories": "保存済みの記憶",
   "apps.rawConversations": "元の会話",
   "apps.rawSaving": "保存中",
+  "apps.rawSavingCompact": "保存中",
   "apps.rawSavingStatus": "保存状態",
   "apps.rawSavingDetail": "生成モデルを使わず元の会話を保存します",
   "apps.rawNoExcerpt": "表示できるユーザーの原文がありません",
@@ -1524,6 +1525,7 @@ export const japaneseMessages: Record<MessageKey, string> = {
   "apps.rawEmpty": "保存済みの元の会話はまだありません",
   "apps.rawCheckedEmpty": "確認済み：表示できる元の会話の更新はありません",
   "apps.memoryCheckedEmpty": "確認済み：表示できる記憶の更新はありません",
+  "apps.recentEmptyCompact": "更新なし",
   "apps.rawWaiting": "保存された元の会話がここに表示されます",
   "apps.checkedRecent": "現在の内容を確認済み",
   "apps.currentMode": "現在のモード",

memhub/packages/i18n/src/locales/gui-i18n-ko.ts

@@ -1480,6 +1480,7 @@ export const koreanMessages: Record<MessageKey, string> = {
   "apps.memories": "저장된 기억",
   "apps.rawConversations": "원본 대화",
   "apps.rawSaving": "저장 중",
+  "apps.rawSavingCompact": "저장 중",
   "apps.rawSavingStatus": "저장 상태",
   "apps.rawSavingDetail": "생성 모델 없이 원본 대화를 저장합니다",
   "apps.rawNoExcerpt": "표시할 수 있는 사용자 원문이 없습니다",
@@ -1488,6 +1489,7 @@ export const koreanMessages: Record<MessageKey, string> = {
   "apps.rawEmpty": "저장된 원본 대화가 아직 없습니다",
   "apps.rawCheckedEmpty": "확인됨: 표시할 원본 대화 업데이트가 없습니다",
   "apps.memoryCheckedEmpty": "확인됨: 표시할 메모리 업데이트가 없습니다",
+  "apps.recentEmptyCompact": "업데이트 없음",
   "apps.rawWaiting": "저장된 원본 대화가 여기에 표시됩니다",
   "apps.checkedRecent": "현재 내용 확인됨",
   "apps.currentMode": "현재 모드",

memhub/packages/i18n/src/locales/gui-i18n-pt.ts

@@ -1541,6 +1541,7 @@ export const portugueseMessages: Record<MessageKey, string> = {
   "apps.memories": "Memórias salvas",
   "apps.rawConversations": "Conversas originais",
   "apps.rawSaving": "Salvando",
+  "apps.rawSavingCompact": "Salvando",
   "apps.rawSavingStatus": "Status de salvamento",
   "apps.rawSavingDetail":
     "As conversas originais são salvas sem um modelo generativo",
@@ -1552,6 +1553,7 @@ export const portugueseMessages: Record<MessageKey, string> = {
     "Verificado: não há atualizações de conversas para mostrar",
   "apps.memoryCheckedEmpty":
     "Verificado: não há atualizações de memórias para mostrar",
+  "apps.recentEmptyCompact": "Sem atualizações",
   "apps.rawWaiting": "As conversas originais salvas aparecerão aqui",
   "apps.checkedRecent": "Conteúdo atual verificado",
   "apps.currentMode": "Modo atual",

memhub/packages/i18n/src/locales/gui-i18n-ru.ts

@@ -1524,6 +1524,7 @@ export const russianMessages: Record<MessageKey, string> = {
   "apps.memories": "Сохранённые записи памяти",
   "apps.rawConversations": "Исходные разговоры",
   "apps.rawSaving": "Сохранение",
+  "apps.rawSavingCompact": "Сохранение",
   "apps.rawSavingStatus": "Статус сохранения",
   "apps.rawSavingDetail":
     "Исходные разговоры сохраняются без генеративной модели",
@@ -1534,6 +1535,7 @@ export const russianMessages: Record<MessageKey, string> = {
   "apps.rawCheckedEmpty":
     "Проверено: нет обновлений исходных диалогов для показа",
   "apps.memoryCheckedEmpty": "Проверено: нет обновлений памяти для показа",
+  "apps.recentEmptyCompact": "Нет обновлений",
   "apps.rawWaiting": "Сохранённые исходные диалоги появятся здесь",
   "apps.checkedRecent": "Текущее содержимое проверено",
   "apps.currentMode": "Текущий режим",

memhub/packages/i18n/src/locales/gui-i18n-zh-hant.ts

@@ -1388,6 +1388,7 @@ export const traditionalChineseMessages: Record<MessageKey, string> = {
   "apps.memories": "已建立的記憶",
   "apps.rawConversations": "原始對話",
   "apps.rawSaving": "儲存中",
+  "apps.rawSavingCompact": "儲存中",
   "apps.rawSavingStatus": "儲存狀態",
   "apps.rawSavingDetail": "原始對話會持續儲存，不需要生成模型",
   "apps.rawNoExcerpt": "這段對話沒有可顯示的使用者原文",
@@ -1396,6 +1397,7 @@ export const traditionalChineseMessages: Record<MessageKey, string> = {
   "apps.rawEmpty": "還沒有儲存的原始對話",
   "apps.rawCheckedEmpty": "已核對，暫無可顯示的原始對話更新",
   "apps.memoryCheckedEmpty": "已核對，暫無可顯示的記憶更新",
+  "apps.recentEmptyCompact": "暫無更新",
   "apps.rawWaiting": "原始對話儲存後會顯示在這裡",
   "apps.checkedRecent": "已核對目前內容",
   "apps.currentMode": "目前模式",

memhub/packages/operations/src/memory-mode-operation.test.ts

@@ -32,7 +32,31 @@ describe("memory mode plan", () => {
     expect(parseMemoryModePlan({ ...valid, blockers: ["unknown"] })).toBeNull();
   });
 
-  it("isolates the old-Core matrix in one helper", () => {
+  it.each([
+    ["lite", "pro", ["earlier_raw_not_extracted", "lite_search_stops"]],
+    [
+      "lite",
+      "ultra",
+      [
+        "earlier_raw_not_extracted",
+        "lite_search_stops",
+        "existing_memories_added_to_graph",
+      ],
+    ],
+    ["pro", "lite", ["higher_mode_memories_hidden"]],
+    ["pro", "ultra", ["existing_memories_added_to_graph"]],
+    ["ultra", "lite", ["higher_mode_memories_hidden", "evolve_stopped"]],
+    ["ultra", "pro", ["higher_mode_memories_hidden", "evolve_stopped"]],
+  ] as const)(
+    "keeps the old-Core %s to %s effects aligned with the plan route",
+    (current, target, effects) => {
+      expect(
+        legacyMemoryModePlan(current, target, { hasActiveModel: true }).effects,
+      ).toEqual(effects);
+    },
+  );
+
+  it("keeps the old-Core model blocker and target capabilities", () => {
     expect(
       legacyMemoryModePlan("lite", "ultra", { hasActiveModel: false }),
     ).toMatchObject({
@@ -42,10 +66,6 @@ describe("memory mode plan", () => {
         graph_enabled: true,
       },
       blockers: ["active_model_required"],
-      effects: expect.arrayContaining([
-        "earlier_raw_not_extracted",
-        "existing_memories_added_to_graph",
-      ]),
     });
   });
 });

memhub/packages/operations/src/memory-mode-operation.ts

@@ -106,12 +106,15 @@ export function legacyMemoryModePlan(
   options: { hasActiveModel: boolean },
 ): MemoryModePlan {
   const effects: MemoryModeChange["effects"] = [];
-  if (target === "lite") {
-    effects.push("higher_mode_memories_hidden");
-    if (current === "ultra") effects.push("evolve_stopped");
-  } else if (current === "lite") {
+  const rank: Record<MemoryPipelineMode, number> = {
+    lite: 0,
+    pro: 1,
+    ultra: 2,
+  };
+  if (current !== target && current === "lite")
     effects.push("earlier_raw_not_extracted", "lite_search_stops");
-  }
+  if (rank[target] < rank[current]) effects.push("higher_mode_memories_hidden");
+  if (current !== target && current === "ultra") effects.push("evolve_stopped");
   if (target === "ultra" && current !== "ultra")
     effects.push("existing_memories_added_to_graph");
   return {

tests/test_raw_public_api.py

@@ -27,6 +27,7 @@ class RawStore:
         exclude_sources,
         layers,
         limit,
+        status_filter,
         **_kwargs,
     ):
         rows = []
@@ -41,11 +42,18 @@ class RawStore:
                 continue
             if node.layer not in layers:
                 continue
+            if node.status not in status_filter:
+                continue
             rows.append({"node": node, "score": 0.9})
         return rows[:limit]
 
 
-def raw_node(raw_id: str, session_id: str, source: str) -> MemoryNode:
+def raw_node(
+    raw_id: str,
+    session_id: str,
+    source: str,
+    status: MemoryStatus = MemoryStatus.ACTIVE,
+) -> MemoryNode:
     return MemoryNode(
         node_id=raw_id,
         user_id="u1",
@@ -55,7 +63,7 @@ def raw_node(raw_id: str, session_id: str, source: str) -> MemoryNode:
         layer=MemoryLayer.L1_RAW,
         content=f"content {raw_id}",
         source_type=SourceType.EXPLICIT,
-        status=MemoryStatus.ACTIVE,
+        status=status,
         is_latest=True,
         embedding=[0.1, 0.2],
     )
@@ -102,6 +110,7 @@ async def test_existing_search_contract_can_explicitly_search_raw():
         request_id="search-1",
         t0=0.0,
         query_embedding=[0.1, 0.2],
+        statuses=None,
     )
 
     assert [item["memory_id"] for item in result["memories"]["normal"]] == [
@@ -109,3 +118,33 @@ async def test_existing_search_contract_can_explicitly_search_raw():
     ]
     assert result["memories"]["normal"][0]["layer"] == "l1_raw"
     assert result["memories"]["normal"][0]["source"] == "claude"
+
+
+@pytest.mark.asyncio
+async def test_explicit_raw_search_can_include_shadow_rows():
+    client = HyMemoryClient.__new__(HyMemoryClient)
+    client._vector_store = RawStore(
+        [raw_node("raw-shadow", "s1", "cursor", MemoryStatus.SHADOW)]
+    )
+    client._embed_service = AsyncMock()
+    client._embed_service.embed.return_value = [0.1, 0.2]
+
+    result = await HyMemoryClient._search_explicit_raw_layer.__wrapped__(
+        client,
+        "content",
+        user_ids=["u1"],
+        agent_ids=["a1"],
+        session_ids=[],
+        include_sources=[],
+        exclude_sources=[],
+        limit=5,
+        min_score=0.0,
+        created_after=None,
+        request_id="search-shadow",
+        t0=0.0,
+        query_embedding=[0.1, 0.2],
+        statuses=["active", "shadow"],
+    )
+
+    assert result["memories"]["normal"][0]["memory_id"] == "raw-shadow"
+    assert result["memories"]["normal"][0]["status"] == "shadow"