AutoGen / AG2 for Multi-Agent Systems

15-axis capability scores

• Sequential workflows7/10
• Parallel workflows8/10
• Hierarchical workflows8/10
• Adaptive workflows10/10
• State management7/10
• Human-in-the-loop8/10
• Python support10/10
• TypeScript support0/10
• .NET / Java support6/10
• MCP support6/10
• A2A support5/10
• Observability6/10
• Deployment flexibility6/10
• Maturity8/10
• Learning curve (higher = easier)6/10

Starter scaffold

Buzzi는 AutoGen / AG2용 2 에이전트 hello-world ZIP(Dockerfile, 고정된 의존성, README, MIT 라이선스)을 제공합니다. 마법사를 완료할 때 생성됩니다.

Closest alternatives

• Google Agent Development Kit

  ×1.2 overhead · python

• Microsoft Semantic Kernel

  ×1.2 overhead · multi

• CrewAI

  ×1.3 overhead · python