Updated April 2026

Anthropic Claude Agent SDK for Multi-Agent Systems

Anthropic · MIT · primary language python · token-overhead ×1.1

15-axis capability scores

  • Sequential workflows8/10
  • Parallel workflows7/10
  • Hierarchical workflows7/10
  • Adaptive workflows9/10
  • State management7/10
  • Human-in-the-loop7/10
  • Python support10/10
  • TypeScript support9/10
  • .NET / Java support0/10
  • MCP support10/10
  • A2A support5/10
  • Observability9/10
  • Deployment flexibility7/10
  • Maturity7/10
  • Learning curve (higher = easier)8/10

Tokens per task

Anthropic Claude Agent SDK carries a ×1.1 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 825.0M 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 Anthropic Claude Agent SDK (Dockerfile, pinned deps, README, MIT licence). Generated when you complete the wizard.

Closest alternatives

Ready to commit to Anthropic Claude Agent SDK?

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

Start the selector