Letta - The Platform for Building Stateful Agents

Letta The Platform for Building Stateful Agents

What is Letta?

Letta is an open-source platform designed to build stateful agents that can learn from data and improve with experience. Agents built using Letta have built-in memory, reasoning, auto-persistence in Postgres, and support for over 7000 tools.

The Agent Development Environment (ADE) provides a visual interface for quickly iterating on agent prompts, tools, and model configurations, allowing the visual of agent's memory, reasoning steps, and tool calls to understand their decision making. Letta maximizes agent performance by compiling the most relevant information to pass to the LLM, while keeping token counts under a specified budget.

Features

Advanced Memory: Built-in memory designed by the creators of MemGPT.
Infinite Context: Avoid context window overflow issues, maximizing agent performance.
Agent Development Environment (ADE): Visual interface for iterating on prompts, tools, and configurations.
Robust API and SDKs: REST API, Python, and Node.js (TypeScript) SDKs for agent management.
Production Ready: Deployable on Kubernetes using Docker with agent state persisted in Postgres.

Use Cases

Building AI agents with continuous learning capabilities.
Developing applications requiring long-term memory and context retention.
Creating and deploying agent microservices with REST APIs.
Managing and monitoring agents in a production environment.

FAQs

What is MemGPT?

MemGPT, standing for Memory-GPT, is a system designed to enhance the performance of Large Language Models (LLMs) by introducing a more advanced memory management scheme, helping to overcome the challenges posed by fixed context windows.
What is Agent Development Environment?

The Letta Agent Development Environment (ADE) are Agents as Context + Tools