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get_memories

Retrieve stored memories by applying filters for specific users, agents, or time periods instead of using search. Supports pagination for browsing results.

Instructions

Page through memories using filters instead of search.

Use filters to list specific memories. Common filter patterns: - Single user: {"AND": [{"user_id": "john"}]} - Agent memories: {"AND": [{"agent_id": "agent_name"}]} - Recent memories: {"AND": [{"user_id": "john"}, {"created_at": {"gte": "2024-01-01"}}]} - Multiple users: {"AND": [{"user_id": {"in": ["john", "jane"]}}]} Pagination: Use page (1-indexed) and page_size for browsing results. user_id is automatically added to filters if not provided.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
filtersNoStructured filters; user_id injected automatically.
pageNo1-indexed page number when paginating.
page_sizeNoNumber of memories per page (default 10).
enable_graphNoSet true only if the caller explicitly wants graph-derived memories.

Implementation Reference

  • The handler function that validates inputs using GetMemoriesArgs, prepares payload with default filters and user_id, and calls the Mem0 client's get_all method to retrieve memories.
    def get_memories( filters: Annotated[ Optional[Dict[str, Any]], Field(default=None, description="Structured filters; user_id injected automatically."), ] = None, page: Annotated[ Optional[int], Field(default=None, description="1-indexed page number when paginating.") ] = None, page_size: Annotated[ Optional[int], Field(default=None, description="Number of memories per page (default 10).") ] = None, enable_graph: Annotated[ Optional[bool], Field( default=None, description="Set true only if the caller explicitly wants graph-derived memories.", ), ] = None, ctx: Context | None = None, ) -> str: """List memories via structured filters or pagination.""" api_key, default_user, graph_default = _resolve_settings(ctx) args = GetMemoriesArgs( filters=filters, page=page, page_size=page_size, enable_graph=_default_enable_graph(enable_graph, graph_default), ) payload = args.model_dump(exclude_none=True) payload["filters"] = _with_default_filters(default_user, payload.get("filters")) payload.setdefault("enable_graph", graph_default) client = _mem0_client(api_key) return _mem0_call(client.get_all, **payload)
  • Pydantic model defining the input parameters for the get_memories tool, including filters, pagination, and graph options.
    class GetMemoriesArgs(BaseModel): filters: Optional[Dict[str, Any]] = Field( None, description="Structured filters; user_id injected automatically." ) page: Optional[int] = Field(None, description="1-indexed page number.") page_size: Optional[int] = Field(None, description="Number of memories per page.") enable_graph: Optional[bool] = Field( None, description="Set True only when the user wants graph knowledge." )
  • The @server.tool decorator registers the get_memories function as an MCP tool, providing a detailed description of its usage and filter examples.
    @server.tool( description="""Page through memories using filters instead of search. Use filters to list specific memories. Common filter patterns: - Single user: {"AND": [{"user_id": "john"}]} - Agent memories: {"AND": [{"agent_id": "agent_name"}]} - Recent memories: {"AND": [{"user_id": "john"}, {"created_at": {"gte": "2024-01-01"}}]} - Multiple users: {"AND": [{"user_id": {"in": ["john", "jane"]}}]} Pagination: Use page (1-indexed) and page_size for browsing results. user_id is automatically added to filters if not provided. """ )

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