Updated April 2026

OpenAI Agents SDK for Multi-Agent Systems

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

15-axis capability scores

  • Sequential workflows9/10
  • Parallel workflows8/10
  • Hierarchical workflows8/10
  • Adaptive workflows9/10
  • State management7/10
  • Human-in-the-loop7/10
  • Python support10/10
  • TypeScript support9/10
  • .NET / Java support0/10
  • MCP support8/10
  • A2A support5/10
  • Observability9/10
  • Deployment flexibility7/10
  • Maturity7/10
  • Learning curve (higher = easier)8/10

Tokens per task

OpenAI Agents 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 OpenAI Agents SDK (Dockerfile, pinned deps, README, MIT licence). Generated when you complete the wizard.

Closest alternatives

Ready to commit to OpenAI Agents SDK?

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

Start the selector