Updated April 2026

CrewAI for Multi-Agent Systems

CrewAI · MIT · primary language python · token-overhead ×1.3

15-axis capability scores

  • Sequential workflows10/10
  • Parallel workflows7/10
  • Hierarchical workflows9/10
  • Adaptive workflows6/10
  • State management6/10
  • Human-in-the-loop6/10
  • Python support10/10
  • TypeScript support0/10
  • .NET / Java support0/10
  • MCP support5/10
  • A2A support4/10
  • Observability7/10
  • Deployment flexibility7/10
  • Maturity7/10
  • Learning curve (higher = easier)9/10

Tokens per task

CrewAI carries a ×1.3 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 975.0M 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 CrewAI (Dockerfile, pinned deps, README, MIT licence). Generated when you complete the wizard.

Closest alternatives

Ready to commit to CrewAI?

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

Start the selector