Individual skill

letta

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.

connectors/letta/SKILL.md

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Repository stars (not skill ratings): 1,437
Repository last updated: Nov 4, 2026
License: MIT

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# Letta

## 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`:

```bash
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