It is an open-source framework called Letta (formerly MemGPT) designed for creating stateful Large Language Model (LLM) services with memory. Letta enables developers to build LLM-based applications with advanced reasoning capabilities and transparent long-term memory, making it suitable for creating intelligent agents that retain context over time. The framework is model-agnostic, meaning it can integrate with various LLM providers such as OpenAI, Anthropic, vLLM, and Ollama.
Letta provides a server that hosts and persists agents in a database, allowing users to interact with these agents via REST APIs, Python/Typescript SDKs, or the Agent Development Environment (ADE), a graphical interface for managing and interacting with agents. The ADE supports both self-hosted Letta servers and the Letta Cloud service, offering a user-friendly way to test, debug, and observe agents.
Letta can be installed using Docker, which is the recommended method, or via pip. Docker installations default to using PostgreSQL for database persistence, while pip installations use SQLite by default, though PostgreSQL can still be configured. The framework also includes a CLI tool for interacting with agents directly.
Letta is open-source and community-driven, with contributions from over a hundred developers. It is designed for developers looking to build stateful, memory-enabled LLM applications, such as customer support chatbots or other interactive AI services. For more details, users can refer to the official documentation, ADE walkthroughs, and community resources.
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