AutoGen (Microsoft)

Multi-agent AI framework A AI Frameworks

Basic Information

  • Company/Brand: Microsoft Research
  • Country/Region: USA
  • Official Website: https://github.com/microsoft/autogen
  • Type: Multi-agent AI framework
  • Established: 2023 (developed by Microsoft Research)

Product Description

AutoGen is a multi-agent AI framework developed by Microsoft Research, designed to create multi-agent applications that can operate autonomously or collaborate with humans. AutoGen v0.4 underwent a complete architectural redesign, adopting an asynchronous, event-driven architecture. Notably, in 2026, Microsoft placed AutoGen and Semantic Kernel into maintenance mode, merging them into the new "Microsoft Agent Framework," aiming for a 1.0 GA release in Q1 2026.

Core Features/Characteristics

  • Multi-agent Conversations: Autonomous collaboration and dialogue among multiple AI agents
  • Asynchronous Messaging System: Both event-driven and request/response interaction modes
  • Cross-language Support: Interoperability between Python and .NET
  • Human-AI Collaboration: Human involvement in agent decision loops
  • Code Execution: Agents can autonomously write and execute code
  • Observability: Enhanced monitoring and debugging capabilities
  • Flexible Collaboration Modes: Various agent collaboration topologies
  • Reusable Components: Modular agent components
  • Transition to Agent Framework: Migration guides are already available

Business Model

  • Fully Open Source: MIT license
  • Microsoft Ecosystem: Deep integration with Azure AI services
  • Migration to Agent Framework: New features will be developed in the Agent Framework
  • Enterprise Support: Through Microsoft's enterprise support system

Target Users

  • AI researchers and experimenters
  • Developers building multi-agent systems
  • Developers within the Microsoft/.NET ecosystem
  • Enterprises requiring human-AI collaboration
  • Teams migrating from AutoGen to the Agent Framework

Competitive Advantages

  • Research strength of Microsoft Research
  • Deep integration with Azure AI services
  • Cross-language support (Python + .NET)
  • Pioneering framework for multi-agent conversations
  • Evolution towards the Microsoft Agent Framework offers enhanced production capabilities
  • v0.4's asynchronous event-driven architecture is more suitable for production environments

Market Performance

  • Tens of thousands of GitHub stars, making it one of the most watched multi-agent frameworks
  • Promoted the paradigm shift from monolithic to multi-agent AI
  • Widely cited and used in academic research
  • Forms the top three multi-agent frameworks alongside CrewAI and LangGraph
  • Currently transitioning to the Microsoft Agent Framework

Relationship with the OpenClaw Ecosystem

AutoGen (and its successor, the Microsoft Agent Framework) can complement OpenClaw in multi-agent scenarios. AutoGen's multi-agent conversation capabilities can enhance OpenClaw's agent collaboration features—enabling multiple specialized AI agents to collaborate on complex tasks. However, as AutoGen enters maintenance mode, users should focus on migrating to the Microsoft Agent Framework for continued feature updates.

External References

Learn more from these authoritative sources: