Letta
SkillDocs & knowledgeWork 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.
No other account needed.
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 ascustom.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
archival-memory --text,block-create, andmessageare writes: confirm with the user before running them, unless standing permission exists. Say which agent the write targets.- Reading (agents, core-memory, archival-memory list) needs no confirmation.
- Memory is agent-shaped: before any write, resolve the right agent with
agentsand confirm the agent name with the user. This connector does not provision agents on its own. - Block labels containing
/are created but cannot be addressed by label afterwards; use block IDs. Keep labels simple (letters, digits, underscores). - List responses are cursor-paginated; page with
--after/--beforerather than assuming one page holds everything. - 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
- GitHub stars
- 1k
- Forks
- 281
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
letta- Source
- github.com/anil-matcha/awesome-muse-connectors