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Letta Code

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Description

The memory-first coding agent

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Letta Code

[![npm](https://img.shields.io/npm/v/@letta-ai/letta-code.svg?style=flat-square)](https://www.npmjs.com/package/@letta-ai/letta-code) [![Discord](https://img.shields.io/badge/discord-join-blue?style=flat-square&logo=discord)](https://discord.gg/letta)

Letta Code is a memory-first coding harness, designed for long-lived agents that can learn from experience.

Instead of working in independent sessions, you work with a persisted agent whose memory is portable across models (Claude, GPT, Gemini, GLM, Kimi, and more).

Run Letta Code in the [**CLI**](https://docs.letta.com/letta-code/cli), or download the [**desktop app**](https://docs.letta.com/letta-code/desktop-app) for MacOS, Windows, and Linux. You can also access Letta Code via [your phone](https://docs.letta.com/letta-code/remote-mobile) and [Slack/Telegram/Discord](https://docs.letta.com/letta-code/channels).

![](https://github.com/letta-ai/letta-code/blob/main/assets/letta-code-demo.gif)

Get started

Install the package via [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm):

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

Navigate to your project directory and run `letta` (see various command-line options [on the docs](https://docs.letta.com/letta-code/commands)).

Run `/connect` to configure your own LLM API keys (OpenAI / ChatGPT, Anthropic, zAI coding plan, etc.), and use `/model` to swap models.

You can also download the [**desktop app**](https://docs.letta.com/letta-code/desktop-app) for MacOS, Windows, and Linux. Agents created in the CLI are available via the desktop app, and vice versa.

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