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

Letta for Meta Muse

Work with Letta agent memory: list agents, read core-memory blocks, list or add archival passages, create blocks, message an agent to record memory.

Use Letta's agent-shaped memory: list the user's agents (memory lives on a per-user "memory agent"), read core-memory blocks (persona, preferences), list or add long-term archival passages, create standalone memory blocks, and message an agent so it records or updates memory itself. Use when the user mentions Letta or wants agent-held persistent memory.

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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/letta/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`); minted at app.letta.com

Allowed hosts: api.letta.com

Confirm it works: `bin/letta.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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