Fix/remove bug

src/memos/graph_dbs/nebular.py

@@ -188,6 +188,19 @@ def _get_or_create_shared_client(cls, cfg: NebulaGraphDBConfig) -> tuple[str, "N
             client = cls._CLIENT_CACHE.get(key)
             if client is None:
                 # Connection setting
+
+                tmp_client = NebulaClient(
+                    hosts=cfg.uri,
+                    username=cfg.user,
+                    password=cfg.password,
+                    session_config=SessionConfig(graph=None),
+                    session_pool_config=SessionPoolConfig(size=1, wait_timeout=3000),
+                )
+                try:
+                    cls._ensure_space_exists(tmp_client, cfg)
+                finally:
+                    tmp_client.close()
+
                 conn_conf: ConnectionConfig | None = getattr(cfg, "conn_config", None)
                 if conn_conf is None:
                     conn_conf = ConnectionConfig.from_defults(
@@ -318,6 +331,7 @@ def __init__(self, config: NebulaGraphDBConfig):
             }
         """
 
+        assert config.use_multi_db is False, "Multi-DB MODE IS NOT SUPPORTED"
         self.config = config
         self.db_name = config.space
         self.user_name = config.user_name
@@ -429,15 +443,21 @@ def remove_oldest_memory(self, memory_type: str, keep_latest: int) -> None:
         if not self.config.use_multi_db and self.config.user_name:
             optional_condition = f"AND n.user_name = '{self.config.user_name}'"
 
-        query = f"""
-            MATCH (n@Memory)
-            WHERE n.memory_type = '{memory_type}'
-            {optional_condition}
-            ORDER BY n.updated_at DESC
-            OFFSET {keep_latest}
-            DETACH DELETE n
-        """
-        self.execute_query(query)
+        count = self.count_nodes(memory_type)
+
+        if count > keep_latest:
+            delete_query = f"""
+                MATCH (n@Memory)
+                WHERE n.memory_type = '{memory_type}'
+                {optional_condition}
+                ORDER BY n.updated_at DESC
+                OFFSET {keep_latest}
+                DETACH DELETE n
+            """
+            try:
+                self.execute_query(delete_query)
+            except Exception as e:
+                logger.warning(f"Delete old mem error: {e}")
 
     @timed
     def add_node(self, id: str, memory: str, metadata: dict[str, Any]) -> None:
@@ -597,14 +617,19 @@ def get_memory_count(self, memory_type: str) -> int:
             return -1
 
     @timed
-    def count_nodes(self, scope: str) -> int:
-        query = f"""
-                MATCH (n@Memory)
-                WHERE n.memory_type = "{scope}"
-                """
+    def count_nodes(self, scope: str | None = None) -> int:
+        query = "MATCH (n@Memory)"
+        conditions = []
+
+        if scope:
+            conditions.append(f'n.memory_type = "{scope}"')
         if not self.config.use_multi_db and self.config.user_name:
             user_name = self.config.user_name
-            query += f"\nAND n.user_name = '{user_name}'"
+            conditions.append(f"n.user_name = '{user_name}'")
+
+        if conditions:
+            query += "\nWHERE " + " AND ".join(conditions)
+
         query += "\nRETURN count(n) AS count"
 
         result = self.execute_query(query)
@@ -985,8 +1010,7 @@ def search_by_embedding(
         dim = len(vector)
         vector_str = ",".join(f"{float(x)}" for x in vector)
         gql_vector = f"VECTOR<{dim}, FLOAT>([{vector_str}])"
-
-        where_clauses = []
+        where_clauses = [f"n.{self.dim_field} IS NOT NULL"]
         if scope:
             where_clauses.append(f'n.memory_type = "{scope}"')
         if status:
@@ -1008,15 +1032,12 @@ def search_by_embedding(
         where_clause = f"WHERE {' AND '.join(where_clauses)}" if where_clauses else ""
 
         gql = f"""
-               MATCH (n@Memory)
+               let a = {gql_vector}
+               MATCH (n@Memory /*+ INDEX(idx_memory_user_name) */)
                {where_clause}
-               ORDER BY inner_product(n.{self.dim_field}, {gql_vector}) DESC
-               APPROXIMATE
+               ORDER BY inner_product(n.{self.dim_field}, a) DESC
                LIMIT {top_k}
-               OPTIONS {{ METRIC: IP, TYPE: IVF, NPROBE: 8 }}
-               RETURN n.id AS id, inner_product(n.{self.dim_field}, {gql_vector}) AS score
-           """
-
+               RETURN n.id AS id, inner_product(n.{self.dim_field}, a) AS score"""
         try:
             result = self.execute_query(gql)
         except Exception as e:
@@ -1471,6 +1492,25 @@ def merge_nodes(self, id1: str, id2: str) -> str:
         """
         raise NotImplementedError
 
+    @classmethod
+    def _ensure_space_exists(cls, tmp_client, cfg):
+        """Lightweight check to ensure target graph (space) exists."""
+        db_name = getattr(cfg, "space", None)
+        if not db_name:
+            logger.warning("[NebulaGraphDBSync] No `space` specified in cfg.")
+            return
+
+        try:
+            res = tmp_client.execute("SHOW GRAPHS;")
+            existing = {row.values()[0].as_string() for row in res}
+            if db_name not in existing:
+                tmp_client.execute(f"CREATE GRAPH IF NOT EXISTS `{db_name}` TYPED MemOSBgeM3Type;")
+                logger.info(f"✅ Graph `{db_name}` created before session binding.")
+            else:
+                logger.debug(f"Graph `{db_name}` already exists.")
+        except Exception:
+            logger.exception("[NebulaGraphDBSync] Failed to ensure space exists")
+
     @timed
     def _ensure_database_exists(self):
         graph_type_name = "MemOSBgeM3Type"

src/memos/memories/textual/tree.py

@@ -326,10 +326,10 @@ def load(self, dir: str) -> None:
         except Exception as e:
             logger.error(f"An error occurred while loading memories: {e}")
 
-    def dump(self, dir: str) -> None:
+    def dump(self, dir: str, include_embedding: bool = False) -> None:
         """Dump memories to os.path.join(dir, self.config.memory_filename)"""
         try:
-            json_memories = self.graph_store.export_graph()
+            json_memories = self.graph_store.export_graph(include_embedding=include_embedding)
 
             os.makedirs(dir, exist_ok=True)
             memory_file = os.path.join(dir, self.config.memory_filename)

src/memos/memories/textual/tree_text_memory/organize/manager.py

@@ -67,30 +67,33 @@ def add(self, memories: list[TextualMemoryItem]) -> list[str]:
                 except Exception as e:
                     logger.exception("Memory processing error: ", exc_info=e)
 
-        try:
-            self.graph_store.remove_oldest_memory(
-                memory_type="WorkingMemory", keep_latest=self.memory_size["WorkingMemory"]
-            )
-        except Exception:
-            logger.warning(f"Remove WorkingMemory error: {traceback.format_exc()}")
-
-        try:
-            self.graph_store.remove_oldest_memory(
-                memory_type="LongTermMemory", keep_latest=self.memory_size["LongTermMemory"]
-            )
-        except Exception:
-            logger.warning(f"Remove LongTermMemory error: {traceback.format_exc()}")
-
-        try:
-            self.graph_store.remove_oldest_memory(
-                memory_type="UserMemory", keep_latest=self.memory_size["UserMemory"]
-            )
-        except Exception:
-            logger.warning(f"Remove UserMemory error: {traceback.format_exc()}")
+        # Only clean up if we're close to or over the limit
+        self._cleanup_memories_if_needed()
 
         self._refresh_memory_size()
         return added_ids
 
+    def _cleanup_memories_if_needed(self) -> None:
+        """
+        Only clean up memories if we're close to or over the limit.
+        This reduces unnecessary database operations.
+        """
+        cleanup_threshold = 0.8  # Clean up when 80% full
+
+        for memory_type, limit in self.memory_size.items():
+            current_count = self.current_memory_size.get(memory_type, 0)
+            threshold = int(limit * cleanup_threshold)
+
+            # Only clean up if we're at or above the threshold
+            if current_count >= threshold:
+                try:
+                    self.graph_store.remove_oldest_memory(
+                        memory_type=memory_type, keep_latest=limit
+                    )
+                    logger.debug(f"Cleaned up {memory_type}: {current_count} -> {limit}")
+                except Exception:
+                    logger.warning(f"Remove {memory_type} error: {traceback.format_exc()}")
+
     def replace_working_memory(self, memories: list[TextualMemoryItem]) -> None:
         """
         Replace WorkingMemory