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Letta project preview
Ai Machine LearningAlternative to LangGraphAlternative to AutoGenAlternative to OpenAI Assistants API

Letta

Memory-augmented framework for building stateful, long-term AI agents.

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LicenseApache-2.0
GitHub stars11.5k
Last commit1 weeks ago
Tags6 topics
Agent MemoryMemgptLlm AgentsStateful AgentsLong Term ContextPython
Overview

Why consider Letta?

Letta (formerly MemGPT) is an open-source framework for building stateful AI agents with perpetual memory. It manages multi-tier hierarchical memory (core, archival, recall) for LLMs.

Guided learning

Learn Letta by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Letta

Letta enables autonomous LLM agents to maintain persistent conversational history, self-edit memories over time, and recall past user interactions seamlessly across sessions.

Quickstart

bash
1pip install letta
2letta run

Letta is licensed under the Apache License Version 2.0.

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Letta FAQs

Letta is listed as a Ai Machine Learning tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Letta is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Letta is listed as an alternative to LangGraph. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.