Letta

Platform for building stateful AI agents with advanced long-term memory and self-improvement.

Open SourceSelf HostedOffline Capable
0.0 (0)

About

Letta grew out of the MemGPT research project and has become a platform for building stateful agents: agents with persistent, editable memory that carries across sessions and lets them learn over time instead of starting fresh with every conversation. The framework is model agnostic, working with Anthropic, OpenAI, and other providers, and supports skills, subagents, and tool use. Developers can work through the TypeScript Agent SDK, older Python and TypeScript SDKs that target the Letta API directly, or Letta Code, a CLI for running agents in the terminal. Deployment options span a self hosted server, a desktop application, a hosted cloud platform, and channel integrations such as Slack. The core server is open source and maintained by a community of more than a hundred contributors. Teams building assistants that need durable long term memory, including coding agents, personal assistants, and customer facing bots that remember their users, are the typical adopters.

Should you use Letta?

Pick it when

Pick Letta when an agent must remember users and learn across sessions, such as a support bot that recalls past conversations or a personal assistant, and you want memory the agent itself edits, served from your own server or Letta's cloud.

Look elsewhere when

If you only need to add recall to an agent built in another framework, a memory layer like Mem0 is less to adopt than a whole agent server. For short-lived task agents with no persistence, Letta's stateful server is overhead.

Alternatives to Letta

  • Mem0

    Memory layer that plugs into any framework via SDK; less invasive, but no agent runtime, tools, or subagents of its own.

  • Agno

    Production agent services with Postgres-backed memory, RBAC, and a REST API; memory is one feature rather than the core design.

  • Graphiti

    Temporal knowledge graph memory that tracks when facts changed; richer history queries, but you supply the agent loop.

  • Cognee

    Builds knowledge graphs plus vectors from documents and chats for agent memory; better for document-heavy recall.

Reviews (0)

Leave a Review

No reviews yet. Be the first to review!