58 lines
2.8 KiB
Markdown
58 lines
2.8 KiB
Markdown
# Letta Code
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[](https://www.npmjs.com/package/@letta-ai/letta-code) [](https://discord.gg/letta)
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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).
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**Read more about how to use Letta Code on the [official docs page](https://docs.letta.com/letta-code).**
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## Get started
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Requirements:
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* [Node.js](https://nodejs.org/en/download) (version 18+)
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* A [Letta Developer Platform](https://app.letta.com/) account (or a [self-hosted Letta server](https://docs.letta.com/letta-code/configuration#self-hosted-server))
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Install the package via [npm](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm):
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```bash
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npm install -g @letta-ai/letta-code
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```
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Navigate to your project directory and run `letta` (see various command-line options [on the docs](https://docs.letta.com/letta-code/commands)):
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## Philosophy
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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.
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**Claude Code / Codex / Gemini CLI** (Session-Based)
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- Sessions are independent
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- No learning between sessions
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- Context = messages in the current session + `AGENTS.md`
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- Relationship: Every conversation is like meeting a new contractor
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**Letta Code** (Agent-Based)
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- Same agent across sessions
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- Persistent memory and learning over time
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- `/clear` resets the session (clears current in-context messages), but memory persists
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- Relationship: Like having a coworker or mentee that learns and remembers
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## Agent Memory & Learning
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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:
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```bash
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> /init
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```
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Over time, the agent will update its memory as it learns. To actively guide your agents memory, you can use the `/remember` command:
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```bash
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> /remember [optional instructions on what to remember]
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```
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Letta Code works with skills (reusable modules that teach your agent new capabilities in a `.skills` directory), but additionally supports [skill learning](https://www.letta.com/blog/skill-learning). You can ask your agent to learn a skill from it's current trajectory with the command:
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```bash
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> /skill [optional instructions on what skill to learn]
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```
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Read the docs to learn more about [skills and skill learning](https://docs.letta.com/letta-code/skills).
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---
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Made with 💜 in San Francisco
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