Microsoft Semantic Kernel for Multi-Agent Systems

15-axis capability scores

• Sequential workflows8/10
• Parallel workflows7/10
• Hierarchical workflows8/10
• Adaptive workflows7/10
• State management8/10
• Human-in-the-loop7/10
• Python support8/10
• TypeScript support0/10
• .NET / Java support10/10
• MCP support7/10
• A2A support5/10
• Observability9/10
• Deployment flexibility9/10
• Maturity8/10
• Learning curve (higher = easier)6/10

Starter scaffold

Buzzi는 Microsoft Semantic Kernel용 2 에이전트 hello-world ZIP(Dockerfile, 고정된 의존성, README, MIT 라이선스)을 제공합니다. 마법사를 완료할 때 생성됩니다.

Closest alternatives

• Google Agent Development Kit

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• AutoGen / AG2

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• Haystack

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