Letta

What it does

When your agent uses it

• Tasks that involve Agent memory

Example prompts

• “/letta”

Requirements

• Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

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

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships script files (Python), which the agent can run.

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Letta loads about 767 tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 254 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~51

When it runs · the whole SKILL.md, loaded when a task matches

~767

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 254 words, ~767 tokens.

name

letta

description

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.

metadata.includeInPrompt

true

tagline

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

catalog_auth

API key via the secure credential flow

catalog_hosts

api.letta.com

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

© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in connectors/letta of Anil-matcha/awesome-muse-connectors.

• SKILL.md
• bin/letta.py

Open the folder on GitHubat commit d6dc5d8