为 OpenViking 内存命中添加最新内容读取功能，并更新相关文档和测试用例

README.md

@@ -654,6 +654,8 @@ curl -sS -X DELETE -G "$API/resources" \
 
 同时查询 OpenViking 和 EverOS，并合并结果。
 
+OpenViking memory 命中会额外用 `content/read` 补读最新正文，并在 item 中返回 `content`。这可以避免 OpenViking 搜索索引里的 `abstract` 暂时落后于刚刚 `replace` 的 memory 内容时误导调用方。
+
 请求体：
 
 | 参数 | 类型 | 必需 | 说明 |

memory_system_api/service.py

@@ -228,6 +228,10 @@ class MemorySystemService:
 
         backends = await self._run_backends(openviking=search_openviking, everos=search_everos)
         backends = self._remove_vectors_from_backends(backends)
+        backends["openviking"] = await self._enrich_openviking_search_memory_content(
+            backends["openviking"],
+            credential,
+        )
         items = self._merge_search_items(backends)
         compact_backends = self._compact_search_backends(backends)
         return SearchResponse(
@@ -340,6 +344,52 @@ class MemorySystemService:
             return "partial_success"
         return "failed"
 
+    async def _enrich_openviking_search_memory_content(
+        self,
+        backend: BackendStatus,
+        credential: Any,
+    ) -> BackendStatus:
+        if backend.status != "success":
+            return backend
+        memory_items = self._openviking_search_memory_items(backend.result)
+        if not memory_items:
+            return backend
+        await asyncio.gather(
+            *(self._add_latest_memory_content(credential, item) for item in memory_items),
+        )
+        return backend
+
+    async def _add_latest_memory_content(self, credential: Any, item: dict[str, Any]) -> None:
+        uri = item.get("uri")
+        if not isinstance(uri, str) or not uri.startswith("viking://"):
+            return
+        try:
+            result = await self.openviking.read_memory(credential, uri)
+        except Exception:  # noqa: BLE001
+            return
+        data = result.get("result") if isinstance(result, dict) and isinstance(result.get("result"), dict) else result
+        content = data.get("content") if isinstance(data, dict) else None
+        if isinstance(content, str):
+            item["content"] = content
+
+    def _openviking_search_memory_items(self, result: Any) -> list[dict[str, Any]]:
+        if not isinstance(result, dict):
+            return []
+        if isinstance(result.get("items"), list):
+            return [
+                item for item in result["items"]
+                if isinstance(item, dict) and self._is_openviking_memory_item(item)
+            ]
+        data = result.get("data") if isinstance(result.get("data"), dict) else result
+        if isinstance(data.get("result"), dict):
+            data = data["result"]
+        if not isinstance(data, dict) or not isinstance(data.get("memories"), list):
+            return []
+        return [item for item in data["memories"] if isinstance(item, dict)]
+
+    def _is_openviking_memory_item(self, item: dict[str, Any]) -> bool:
+        return item.get("context_type") == "memory" or item.get("memory_type") == "memory"
+
     def _merge_search_items(self, backends: dict[str, BackendStatus]) -> list[dict[str, Any]]:
         items: list[dict[str, Any]] = []
         for backend_name, backend in backends.items():

skills/memory-system-api/references/api.md

@@ -262,7 +262,7 @@ curl -s -X POST <MEMORY_SYSTEM_BASE_URL>/memory-system/search \
   }'
 ```
 
-Raw API search responses include merged `items` plus compact backend diagnostics. Fields named `vector` are stripped recursively before the API returns JSON. The API does not return EverOS `original_data` or full episode payloads inside `backends` anymore. OpenViking search uses `/api/v1/search/search`; `target_uri`, `level`, and `score_threshold` are optional request fields.
+Raw API search responses include merged `items` plus compact backend diagnostics. Fields named `vector` are stripped recursively before the API returns JSON. The API does not return EverOS `original_data` or full episode payloads inside `backends` anymore. OpenViking search uses `/api/v1/search/search`; `target_uri`, `level`, and `score_threshold` are optional request fields. For OpenViking memory hits, the API also reads the matched URI with `content/read` and returns the latest body in `content` when available.
 
 The search response shape should now look more like:
 

tests/test_memory_system_service.py

@@ -488,6 +488,59 @@ def test_search_returns_compact_items_and_backend_diagnostics_without_duplicate_
     assert not _has_key(response.backends["everos"].result, "original_data")
 
 
+def test_search_includes_latest_openviking_memory_content_for_memory_hits():
+    class FakeOpenVikingWithStaleSearch(FakeOpenViking):
+        async def search(
+            self,
+            user_key: str,
+            query: str,
+            limit: int,
+            level: int = 2,
+            score_threshold: float = 0.8,
+            target_uri: str = "viking://user/memories",
+        ) -> dict:
+            self.calls.append(("search", user_key, query, limit, level, score_threshold, target_uri))
+            return {
+                "status": "ok",
+                "result": {
+                    "memories": [
+                        {
+                            "context_type": "memory",
+                            "uri": "viking://user/tom/memories/preferences/drink.md",
+                            "level": 2,
+                            "score": 0.91,
+                            "abstract": "用户喜欢拿铁咖啡。",
+                        }
+                    ],
+                    "resources": [],
+                    "skills": [],
+                    "total": 1,
+                },
+            }
+
+        async def read_memory(self, user_key: str, uri: str) -> dict:
+            self.calls.append(("read_memory", user_key, uri))
+            return {"status": "ok", "result": {"uri": uri, "content": "用户不喜欢咖啡，只喜欢下午喝奶茶"}}
+
+    openviking = FakeOpenVikingWithStaleSearch()
+    service = MemorySystemService(openviking=openviking, everos=FakeEverOS())
+
+    response = asyncio.run(service.search(
+        SearchRequest(user_id="tom", user_key="tom-key", session_id="sess-1", query="我喜欢喝什么？", limit=5),
+    ))
+
+    assert response.items[0] == {
+        "source_backend": "openviking",
+        "context_type": "memory",
+        "uri": "viking://user/tom/memories/preferences/drink.md",
+        "level": 2,
+        "score": 0.91,
+        "abstract": "用户喜欢拿铁咖啡。",
+        "content": "用户不喜欢咖啡，只喜欢下午喝奶茶",
+    }
+    assert ("read_memory", "key-tom", "viking://user/tom/memories/preferences/drink.md") in openviking.calls
+
+
 def test_session_context_combines_openviking_context_and_everos_search_items():
     openviking = FakeOpenViking()
     everos = FakeEverOSVerbose()