Letta

SkillDocs & knowledge

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

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Letta skill

What this skill tells your AI

The instructions your AI receives, as published by anil-matcha/awesome-muse-connectors in connectors/letta/SKILL.md and read by ahel’s review.

Purpose

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.

Tooling

All commands go through bin/letta.py:

bin/letta.py auth                                            # verify the API key
bin/letta.py agents --limit 10                              # list agents
bin/letta.py core-memory --agent ag_abc123                  # read core-memory blocks
bin/letta.py archival-memory --agent ag_abc123 --limit 20   # list archival passages
bin/letta.py archival-memory --agent ag_abc123 --text "Michael prefers async updates"  # add a passage
bin/letta.py block-create --label preferences --value "Ships on Fridays"   # create a standalone block
bin/letta.py message --agent ag_abc123 --message "Remember that we use ISO dates"      # let the agent record it

List calls are cursor-paginated (--after / --before). Use agents first to resolve the agent ID.

Auth

  • Provider id: letta (credential is collected as custom.letta)
  • Collection: API key via the secure credential flow (credentials.request_api_access); minted at app.letta.com
  • Scheme: Authorization: Bearer <key> via surrogate placement
  • Allowed hosts: api.letta.com
  • Status check: bin/letta.py auth (must return "ok": true)

Operating Rules

  1. archival-memory --text, block-create, and message are writes: confirm with the user before running them, unless standing permission exists. Say which agent the write targets.
  2. Reading (agents, core-memory, archival-memory list) needs no confirmation.
  3. Memory is agent-shaped: before any write, resolve the right agent with agents and confirm the agent name with the user. This connector does not provision agents on its own.
  4. Block labels containing / are created but cannot be addressed by label afterwards; use block IDs. Keep labels simple (letters, digits, underscores).
  5. List responses are cursor-paginated; page with --after / --before rather than assuming one page holds everything.
  6. Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/letta.py). Do not print, log, or transmit the key value.

Files

  • SKILL.md
  • bin/letta.py

Maturity

🧪 Draft: written from Letta's public API docs; not yet live-tested end-to-end.

Signals

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Sep 2026
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Item type
skill
Key
letta
Source
github.com/anil-matcha/awesome-muse-connectors