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mem0/mem0-plugin/skills/pin/SKILL.md
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pin Pins or unpins a memory to protect it from pruning during dream consolidation. Use when a memory is critical and must never be removed, such as architecture decisions, security constraints, or immutable team conventions.

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

Call update_memory with:

  • memory_id=<selected_id>
  • text=<original_text> (preserve existing content)
  • metadata= merge original_metadata with {"pinned": true}
updated_meta = {**original_metadata, "pinned": True}
update_memory(memory_id=<selected_id>, text=<original_text>, metadata=updated_meta)

Important: update_memory requires the text parameter. Passing only metadata may error or wipe content.

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

  1. Call add_memory with the text + metadata={"pinned": true, "type": "decision", "confidence": 1.0}
  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 and metadata.
  2. Set metadata.pinned = false:
    updated_meta = {**original_metadata, "pinned": False}
    update_memory(memory_id=<id>, text=<original_text>, metadata=updated_meta)
    
  3. Print: Unpinned: "<content>..."