LettavsMicrosoft AutoGen

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Letta

AI Agent Frameworks

Build stateful AI agents with long-term memory

Microsoft AutoGen

AI Agent Frameworks

Featured

Framework for building multi-agent conversational AI

FeatureLettaMicrosoft AutoGen
CategoryAI Agent FrameworksAI Agent Frameworks
PricingFree (open-source) + CloudFree (open-source)
GitHub Stars
13k
More stars
35k
PlatformsLinux, macOS, DockerLinux, macOS, Windows
Key Features
  • Long-term memory
  • Stateful agents
  • Tool use
  • Multi-model
  • Self-editing memory
  • Multi-agent conversations
  • Code execution
  • Human-in-the-loop
  • Customizable
  • Group chat
Pros
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
  • + Strong multi-agent conversation support
  • + Code execution built-in
  • + Human-in-the-loop capability
  • + Microsoft backing
  • + Research-grade quality
Cons
  • Complex memory management
  • Performance overhead
  • Rebranding confusion
  • Still experimental
  • Complex API for beginners
  • Heavy dependency tree
  • Documentation could be better
  • Resource intensive
Tags
memorystatefulagentsopen-source
multi-agentmicrosoftconversationsopen-source

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