Letta Code: The First Memory-First Coding Agent That Actually Remembers

Every coding assistant you've used has the same fundamental flaw: amnesia. Close the terminal, restart your session, or switch contexts, and your AI helper forgets everything. Your preferences, your codebase patterns, that clever solution you worked out last week — gone.

Letta Code is the first coding agent built around persistent memory instead of disposable sessions.

The Memory Problem with AI Coding

Traditional coding assistants like GitHub Copilot or Claude Code operate in isolated sessions. Each interaction starts from scratch. They might have access to your current file or a brief conversation history, but they can't build genuine understanding of your project over time.

This works fine for quick autocomplete or one-off questions. But for real development work — understanding your architecture, remembering your coding style, tracking project context across weeks or months — stateless tools fall short.

The closest thing we've had to persistent AI coding was Anthropic's research on long-running engineering agents that could work on projects over multiple hours. But that was research, not production tooling.

What Letta Code Does Differently

Letta Code runs a long-lived agent that persists across all your coding sessions. It's built on the Letta API (formerly MemGPT) and operates through a CLI that connects to your persistent agent instance.

Here's what that looks like in practice:

• Codebase Learning: Your agent builds understanding of your project structure, naming conventions, and architectural patterns over time
• Preference Memory: It remembers how you like to structure tests, your preferred libraries, and coding style choices
• Context Continuity: Pick up conversations from last week as if no time has passed
• Cross-Session Skills: The agent can learn new capabilities and apply them across different projects

Unlike session-based tools that reset with each use, your Letta agent gets smarter the more you work with it.

Why This Architecture Matters

Memory-first design changes the fundamental relationship between developer and AI assistant. Instead of constantly re-explaining context, you're collaborating with an agent that genuinely understands your work.

This is especially powerful for:

• Complex refactoring across multiple sessions
• Maintaining coding standards across team members
• Learning from past mistakes and solutions
• Building institutional knowledge in your codebase

The open-source approach means you can run it locally, customize the memory architecture, and integrate with whatever models work best for your use case.

Try It Now

Letta Code is available on GitHub with full documentation. The CLI setup takes minutes, and you can start with any OpenAI-compatible model.

This isn't just another coding assistant — it's the first step toward AI that truly understands your development workflow. The memory-first architecture represents a fundamental shift from disposable AI tools to persistent coding companions.

Get started with Letta Code →