memory_update
Modify existing stored information by updating content, metadata, or tags to maintain accurate and current data records.
Instructions
Update an existing memory. Only provided fields are updated.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| memory_id | Yes | ||
| content | No | ||
| metadata | No | ||
| tags | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- memora/server.py:824-839 (handler)Tool handler for 'memory_update' which updates an existing memory entry. It uses an internal _update_memory function and then schedules a cloud graph sync.
async def memory_update( memory_id: int, content: Optional[str] = None, metadata: Optional[Dict[str, Any]] = None, tags: Optional[list[str]] = None, ) -> Dict[str, Any]: """Update an existing memory. Only provided fields are updated.""" try: record = _update_memory(memory_id, content, metadata, tags) except ValueError as exc: return {"error": "invalid_input", "message": str(exc)} if not record: return {"error": "not_found", "id": memory_id} _schedule_cloud_graph_sync() return {"memory": record}