Updated 2026年4月

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 相对于 1.0 基线（LangGraph）具有 ×2.5 的 token 开销系数。对于每月 50,000 个任务、15,000 个基础 token 的工作负载，在 HITL 或多智能体扇出之前大约是 每月 1875.0M token。

运行向导以根据您的工作负载和所选模型获得校准估算。

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Starter scaffold

Buzzi 为 AutoGen / AG2 提供 2 智能体 hello-world ZIP（Dockerfile、锁定依赖、README、MIT 许可证）。完成向导时生成。

Closest alternatives

Ready to commit to AutoGen / AG2?

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

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