Finally, a Coding Agent That Actually Remembers You

Every AI coding assistant has the same fatal flaw: amnesia. You spend 20 minutes explaining your codebase architecture to Claude, get some decent suggestions, then close your laptop. Next session? Back to square one.

The Session Reset Problem

Traditional coding assistants like GitHub Copilot and Claude operate on session-based memory. Each conversation is isolated. They don't remember that you prefer functional programming patterns, that your API follows REST conventions, or that you hate verbose variable names. You're constantly re-explaining context that should be persistent.

This isn't just annoying — it's a fundamental limitation that makes AI coding feel like working with a very smart intern who has severe short-term memory loss.

Memory-First Architecture

Letta Code flips this entirely. Built on the Letta API, it maintains persistent memory across all your coding sessions. The agent remembers your coding style, project structure, and past conversations. More importantly, it learns over time.

Unlike stateless assistants, Letta Code runs as a long-lived agent that builds understanding of your development patterns. It notices that you always structure React components a certain way, that you prefer TypeScript strict mode, that you have strong opinions about import organization.

Why This Changes Everything

Memory transforms AI coding from a series of isolated interactions into genuine collaboration. The agent becomes familiar with your codebase the same way a human colleague would. It stops suggesting patterns you've rejected before. It proactively applies lessons from previous sessions.

This is particularly powerful for real development workflows where projects span weeks or months. Traditional assistants treat every conversation as day one. Letta Code treats it as an ongoing partnership.

Open Source and Multi-Model

Letta Code supports multiple AI models and remains fully open source. You can run it locally or connect to various providers while maintaining the same persistent memory layer.

This represents a fundamental shift from stateless to stateful AI coding assistance — the boring infrastructure that makes AI development actually productive.

Try Letta Code →