Letta is an AI operating system that enables developers to create production-ready stateful agents with persistent memory and infinite context through a single API call.
About Letta
Letta is a comprehensive AI operating system designed to solve the fundamental problems of context fragmentation and limited memory in AI agents. Built on research from UC Berkeley AI PhDs and the creators of MemGPT, Letta provides a model-agnostic platform for building stateful agents that can maintain persistent memory across interactions. The platform offers automatic state persistence, advanced memory management, and seamless integration with custom tools and MCP (Model Context Protocol). Developers can create agents that learn and remember through continuous interactions, with full transparency into the agent's reasoning process and memory state. Letta scales from prototypes to millions of agents while preventing vendor lock-in through its model-agnostic architecture.
Key Features
- Model-agnostic stateful agents with persistent memory and automatic state management
- Agent Development Environment (ADE) for real-time visualization of memory, reasoning, and tool calls
- REST API endpoints with built-in authentication and identity management for production deployment
- Transparent context engineering with full visibility into LLM inputs and reasoning processes
- MCP and custom tool integrations with balanced autonomy and control mechanisms
- Framework-agnostic SDKs supporting Python, Node.js, React, Next.js, and Vercel AI SDK
- Production versioning and scaling capabilities from prototypes to millions of agents
- Built-in memory management techniques based on UC Berkeley AI research and MemGPT