Mem0 Pin

Pin a memory to mark it as high-priority and protect from pruning.

Execution

Step 1: Find the memory

The user provides either a search query or memory ID.

If memory ID:

• Call get_memory with the ID.

If search query:

• Call search_memories with the query, filters={"AND": [{"user_id": "<id>"}, {"app_id": "<pid>"}]}, top_k=5.
• Show numbered list with content previews.
• Ask: "Which memory to pin? Enter a number."

Step 2: Read current content

Call get_memory with the selected memory ID. Store:

• original_text — the memory's text content
• original_metadata — the existing metadata dict

Step 3: Pin it

The MCP update_memory tool only accepts memory_id, text, and source — it does not accept a metadata parameter. To pin, append a pin marker to the text:

pinned_text = "[PINNED] " + original_text if not original_text.startswith("[PINNED]") else original_text
update_memory(memory_id=<selected_id>, text=pinned_text)

For new memories (user wants to pin text that isn't stored yet):

1. Call add_memory with:
   • text="[PINNED] <the user's text>"
   • user_id=<active_user_id>
   • app_id=<active_project_id>
   • metadata={"pinned": true, "type": "decision", "confidence": 1.0}
   • infer=False
2. The response contains event_id. Call get_event_status(event_id=<event_id>) once to retrieve the memory ID, then confirm.

Step 4: Confirm

Pinned: "<memory content, first 80 chars>"
Memory ID: <id>

Append ... only if content exceeds 80 characters.

Unpin

If the user says "unpin":

1. Call get_memory to read current content.
2. Remove the pin marker from the text:
   pythonCopy

   unpinned_text = original_text.removeprefix("[PINNED] ")
   update_memory(memory_id=<id>, text=unpinned_text)
   

3. Print: Unpinned: "<content>..."