The platform for stateful agents. Build AI agents with long-term memory, advanced reasoning, and custom tools inside a visual environment using the Agent Development Environment, or with Python and Node.js SDKs.
Stateful Agents
Agents maintain persistent memory, allowing them to learn and improve from interactions.
Infinite Context
Eliminates context window overflow, maximizing agent performance by managing relevant information.
Robust API and SDKs
Enables easy integration and management of agents through REST APIs and SDKs for Python and Node.js.
Agent Development Environment (ADE)
Visual interface for quickly iterating on agent prompts, tools, and configurations.
Letta is a platform designed for creating, deploying, and managing AI agents that possess human-like memory and advanced reasoning capabilities. With its built-in memory, Letta agents can learn from their experiences and maintain context over long-term interactions, making them suitable for applications that require ongoing conversation and decision-making. The Agent Development Environment (ADE) allows developers to visualize an agent's memory and decision-making processes, facilitating real-time updates and improvements.
Letta supports over 7,000 tools and auto-persistence in Postgres. It is designed to be production-ready, enabling the deployment of agents at scale with Kubernetes and Docker.
Developing conversational AI applications that require long-term context retention.
Building agent-based systems for customer support that learn from user interactions.
Creating personalized AI assistants that adapt to user preferences over time.
Letta integrates memory capabilities that allow agents to maintain context and learn over time, unlike traditional LLMs that have fixed context windows.
Yes, Letta can be deployed using cloud services like Kubernetes and Docker.
Yes, Letta is an open-source platform that encourages community contributions and collaboration.
