Autogen (Microsoft)
Basic Information
| Item | Details |
|---|---|
| Product Name | AutoGen |
| Company | Microsoft Research |
| Product Type | Multi-Agent Conversation Framework |
| Official Website | https://microsoft.github.io/autogen |
| GitHub | https://github.com/microsoft/autogen |
| Launch Year | 2023 |
| Open Source License | MIT |
| Evolution Direction | Integration into Microsoft Agent Framework |
Product Description
AutoGen is an open-source multi-agent conversation framework developed by Microsoft Research, enabling complex LLM applications through dialogues among multiple agents. The v0.4 version has been completely redesigned, introducing an asynchronous event-driven architecture, significantly enhancing scalability and flexibility. Between 2025-2026, AutoGen is evolving into a more unified Microsoft Agent Framework.
Core Features
- Multi-Agent Conversations: Multiple agents collaborate through asynchronous messaging
- Asynchronous Event-Driven Architecture (v0.4): Supports both event-driven and request/response interaction modes
- Modular Extensibility: Plug-and-play components, supporting custom agents, tools, memory, and models
- Cross-Language Support: Currently supports Python and .NET, with more languages in development
- AutoGen Studio: No-code GUI for visually building multi-agent applications
- AutoGen Bench: Benchmark suite for agent performance evaluation
- Flexible Collaboration Modes: Supports various agent collaboration topologies
- Observability: Built-in agent behavior observability
- Long-Running Agents: Supports proactive and long-running agents
Business Model
Open-source framework + Microsoft ecosystem:
- Open Source Version: MIT license, completely free
- Microsoft Agent Framework: Next-generation unified framework integrating AutoGen and Semantic Kernel
- An important component of the Microsoft AI ecosystem
Target Users
- AI application developers
- Enterprise AI solution builders
- Microsoft technology stack developers
- AI researchers
- Multi-agent system engineers
Competitive Advantages
- Microsoft Support: Backed by Microsoft's strong technology and resources
- Cross-Language Capability: Python + .NET cross-language interoperability
- No-Code GUI: AutoGen Studio lowers the barrier to entry
- Enterprise-Grade Reliability: Microsoft quality assurance
- Ecosystem Integration: Deep integration with Azure, Semantic Kernel, and other Microsoft ecosystems
- Complete Redesign: Modern architecture design in v0.4
- Clear Evolution Path: Clear direction towards Microsoft Agent Framework
Market Performance
- Over 40,000 GitHub Stars, making it one of the most popular multi-agent frameworks
- Supported by Microsoft Research papers, with significant academic influence
- Currently being integrated into Microsoft Agent Framework
- Forked project AG2 (original AutoGen community edition) continues to develop independently
- Holds an important position in enterprise-level multi-agent application development
- Competes with frameworks like LangChain and CrewAI
Relationship with OpenClaw Ecosystem
AutoGen's multi-agent conversation framework concept naturally aligns with OpenClaw's message-driven interaction. OpenClaw can leverage AutoGen or Microsoft Agent Framework as the underlying multi-agent coordination engine to build more complex agent collaboration capabilities. AutoGen's asynchronous event-driven architecture also suits OpenClaw's needs for handling concurrent messages and long-running tasks. Both share a core philosophy of "dialogue-driven AI agents."