Updated April 2026

AutoGen / AG2 for Multi-Agent Systems

Microsoft / AG2 community · CC-BY-4.0 / Apache-2.0 · primary language python · token-overhead ×2.5

15-axis capability scores

  • Sequential workflows7/10
  • Parallel workflows8/10
  • Hierarchical workflows8/10
  • Adaptive workflows10/10
  • State management7/10
  • Human-in-the-loop8/10
  • Python support10/10
  • TypeScript support0/10
  • .NET / Java support6/10
  • MCP support6/10
  • A2A support5/10
  • Observability6/10
  • Deployment flexibility6/10
  • Maturity8/10
  • Learning curve (higher = easier)6/10

Tokens per task

AutoGen / AG2 carries a ×2.5 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 1875.0M 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 AutoGen / AG2 (Dockerfile, pinned deps, README, MIT licence). Generated when you complete the wizard.

Closest alternatives

Ready to commit to AutoGen / AG2?

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

Start the selector