AutoGen
Microsoft's framework for building multi-agent conversational systems where agents can converse with each other to solve tasks, with support for human participation and code execution.
Open source
Named by Claude in 1 list this week
How Claude rates AutoGen.
Each score below is the model's own, on the rubric it wrote for that list, from what it already knows about AutoGen. Nothing here is edited by us.
The best AI agent frameworks
#6 this week, scoring 6.3 out of 10. Best for Research teams and developers building conversational multi-agent systems with complex inter-agent communication patterns and code execution needs.
- Ease of Use 5
- Powerful but complex API requires significant learning investment, especially for multi-agent conversation patterns.
- Flexibility & Extensibility 8
- Highly flexible agent communication patterns and customizable conversation flows, though within its conversational paradigm.
- Production Readiness 6
- Has core features but production tooling like observability and deployment patterns are less mature than enterprise-focused alternatives.
- State & Memory Management 6
- Manages conversation state well but persistence and long-term memory features are more limited.
- Community & Ecosystem 8
- Strong Microsoft backing, active research community, good documentation, and regular updates with new capabilities.
- Performance & Reliability 6
- Multi-agent conversations can be token-intensive and slower, though the framework itself is reasonably efficient.
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