Community skillDraft — source instructions not independently live-testedAI & development

mem0 for Meta Muse

Mem0 memory CLI: add memories from messages, semantic search, read or delete memories, poll async events.

Manage the user's mem0 memory layer: store memories extracted from messages, run semantic search over them, and handle the full lifecycle (list, read, delete) scoped by user, agent, or app. Use when the user mentions mem0, a persistent memory layer, or asks to remember or recall facts.

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How to set it up

Paste a prompt

Draft — these instructions come from the linked source and have not been independently live-tested by OpenTools.

Before you start

  • API key via the secure credential flow

Steps

  1. Paste the install prompt into a chat with Muse.
  2. Muse fetches the pinned SKILL.md and the 2 files in its manifest.
  3. Authorize your own account through Muse’s secure credential flow.
  4. Have Muse run the status check shown in the source skill.

Prompt to paste into Muse

Install this connector: https://raw.githubusercontent.com/bluman1/muse-connectors/6e31fd44a71f9f28377a1460e64cd7483c3cce22/connectors/mem0/SKILL.md
Read its Files manifest and install exactly those files. Collect credentials through Muse's secure credential flow; never ask me for raw keys in chat. Run the skill's status check and report the result.

Account access: API key via the secure credential flow (`credentials.request_api_access`); created at app.mem0.ai (keys look like `m0-...`; agents can self-mint via `mem0 init --agent`)

Allowed hosts: api.mem0.ai

Confirm it works: `bin/mem0.py auth` (must return `"ok": true`)

Services it connects with

These are the services the connector uses. The publisher is identified separately.

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