MemGPT

Overview

Letta (formerly MemGPT) is a Python framework for building stateful AI agents with persistent memory systems. It enables agents to maintain context across interactions, learn from conversations, and self-improve over time by managing memory hierarchies and retrieval.

Best for

Best for
Developers building conversational or autonomous agents that need to learn and maintain state across extended interactions.

Use cases

• Building conversational agents that retain user history and preferences
• Creating long-running autonomous systems that adapt behavior based on past interactions
• Developing multi-turn dialogue systems with context awareness beyond token limits

Notes

Letta (formerly MemGPT) is a Python framework for building stateful AI agents with persistent memory systems. It enables agents to maintain context across interactions, learn from conversations, and self-improve over time by managing memory hierarchies and retrieval.

23,081 stars on GitHub. Last updated 2026-05-14. Licensed Apache-2.0.

Use cases

• Building conversational agents that retain user history and preferences
• Creating long-running autonomous systems that adapt behavior based on past interactions
• Developing multi-turn dialogue systems with context awareness beyond token limits

Pros

• Handles memory management and context persistence automatically, reducing boilerplate
• Enables agents to operate beyond typical LLM context windows through structured recall
• Active community project with 23k+ stars and ongoing development

Cons

• Python-only, limiting integration into non-Python stacks
• Adds complexity to deployment and state management compared to stateless agents
• Memory system design choices may not suit all use cases or scale requirements

Indexed from awesome-langchain and enriched against its public facts.