Updated April 2026

Microsoft Semantic Kernel for Multi-Agent Systems

Microsoft · MIT · primary language multi · token-overhead ×1.2

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

Tokens per task

Microsoft Semantic Kernel carries a ×1.2 token overhead multiplier against a 1.0 baseline (LangGraph). For a workload of 50,000 tasks per month at 15,000 base tokens, that is roughly 900.0M tokens per month before HITL or multi-agent fan-out.

Run the wizard for a calibrated estimate against your workload and chosen model.

Run the selector with your workload

Starter scaffold

Buzzi ships a 2-agent hello-world ZIP for Microsoft Semantic Kernel (Dockerfile, pinned deps, README, MIT licence). Generated when you complete the wizard.

Closest alternatives

Ready to commit to Microsoft Semantic Kernel?

Run the wizard, download the scaffold, and book a 30-minute scoping call with Buzzi.ai.

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