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Letta Code

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Letta Code is a memory-first coding harness, built on top of the Letta API. Instead of working in independent sessions, you work with a persisted agent that learns over time and is portable across models (Claude Sonnet/Opus, GPT-5, Gemini 3 Pro, GLM-4.6, and more).

Read more about how to use Letta Code on the official docs page.

Get started

Install the package via npm:

npm install -g @letta-ai/letta-code

Navigate to your project directory and run letta (see various command-line options on the docs).

Note

By default, Letta Code will connect to the Letta Developer Platform (includes a free tier), which you can connect to via OAuth or setting a LETTA_API_KEY. You can also connect it to a self-hosted Letta server by setting LETTA_BASE_URL

Philosophy

Letta Code is built around long-lived agents that persist across sessions and improve with use. Rather than working in independent sessions, each session is tied to a persisted agent that learns.

Claude Code / Codex / Gemini CLI (Session-Based)

  • Sessions are independent
  • No learning between sessions
  • Context = messages in the current session + AGENTS.md
  • Relationship: Every conversation is like meeting a new contractor

Letta Code (Agent-Based)

  • Same agent across sessions
  • Persistent memory and learning over time
  • /clear resets the session (clears current in-context messages), but memory persists
  • Relationship: Like having a coworker or mentee that learns and remembers

Agent Memory & Learning

If you’re using Letta Code for the first time, you will likely want to run the /init command to initialize the agent’s memory system:

> /init

Over time, the agent will update its memory as it learns. To actively guide your agents memory, you can use the /remember command:

> /remember [optional instructions on what to remember]

Letta Code works with skills (reusable modules that teach your agent new capabilities in a .skills directory), but additionally supports skill learning. You can ask your agent to learn a skill from it's current trajectory with the command:

> /skill [optional instructions on what skill to learn]

Read the docs to learn more about skills and skill learning.

Community maintained packages are available for Arch Linux users on the AUR:

yay -S letta-code # release
yay -S letta-code-git # nightly
yay -S letta-code-bin # prebuilt release

Made with 💜 in San Francisco

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