Letta Code is a stateful agent framework that enables creation of agents with persistent memory, identity, and the ability to learn and adapt over time.
The tool addresses the limitation of stateless AI agents by providing a harness where agents maintain continuity across interactions. Agents can rewrite their own memory, skills, and prompts, allowing them to evolve through experience rather than remaining static tools. This approach treats agents as entities with persistent state that accumulates and shapes behavior over long horizons, similar to how people learn and adapt.
Letta Code suits developers building conversational agents that need to maintain context and personality across sessions, or always-on agents that work proactively rather than reactively. The framework supports multiple interaction modes: a local CLI, desktop applications for macOS, Windows, and Linux, a web interface accessible on mobile, and integrations with messaging platforms including Telegram, Slack, and Discord. Teams should consider this tool if they need agents that can be configured through natural conversation rather than manual setup, as the framework is designed to be self-configuring.
The project shows active development with regular commits across the codebase. Work spans the core agent harness, CLI tooling, desktop application maintenance, and channel integrations. The team maintains documentation alongside feature development and responds to issues. Development activity indicates ongoing refinement of both the agent runtime and the user-facing interfaces for interacting with agents.
