Letta

Letta is an open-source platform designed for building stateful AI agents that maintain long-term memory and exhibit advanced reasoning capabilities. It enables developers to create intelligent agents that persistently store and manage context, learn from interactions, and improve over time, rather than functioning as stateless responders. Letta supports memory auto-persistence in Postgres and integrates with over 7,000 tools, allowing agents to access both contextual and external knowledge seamlessly.

The platform includes the Agent Development Environment (ADE), a visual interface that allows users to iterate rapidly on agent prompts, tool integrations, and model configurations. ADE offers insight into agent memory, reasoning processes, and tool usage, enabling real-time adjustments to improve agent performance. This environment helps prevent context window overflow by selectively compiling relevant information to fit within token limits, enhancing the quality of responses.

Letta functions as an operating system for AI agents, managing state, context, and execution through a REST API, which supports both Python and TypeScript SDKs for flexible integration. Agents run as persistent services and can interact with each other, enabling multi-agent systems and multi-user collaboration. The platform is model-agnostic, compatible with various closed-source and open-source large language models such as OpenAI, Anthropic, and Google Vertex.

Designed for production use, Letta supports deployment via Docker or through its cloud service, facilitating scalability. Its features include transparent, long-term memory management, the ability to define tool usage constraints, streaming outputs for real-time interaction, and a framework that empowers developers with full control over agent behavior and learning processes. Letta’s architecture ensures agents maintain consistent and relevant context across sessions, supporting applications that require continual learning and complex decision-making.

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Website: letta.com

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