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Pin

  • 66 installs
  • 62.5k repo stars
  • Updated August 5, 2026
  • mem0ai/mem0

Helps with ai & agent building tasks during AI-assisted development.

About

pin is a Claude Code skill for ai & agent building. It helps solo builders move faster with AI-assisted coding.

  • pin
  • AI & Agent Building
  • AI-coding skill

Pin by the numbers

  • 66 all-time installs (skills.sh)
  • +12 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #6,006 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/mem0ai/mem0 --skill pin

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Listed on Skillselion
Installs66
repo stars62.5k
Last updatedAugust 5, 2026
Repositorymem0ai/mem0

What it does

Helps with ai & agent building tasks during AI-assisted development.

Files

SKILL.mdMarkdownGitHub ↗

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:

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

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

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