Updated 2026年4月

Best Multi-Agent Framework for Mixed / polyglot

Polyglot stacks should standardise on Semantic Kernel (covers Python, .NET, Java) or LangGraph (Python plus TypeScript). Picking a single framework across services dramatically reduces the operational and on-call burden of running agents in production. Avoid framework sprawl — it multiplies the surface area for upgrades and incidents.

Constraint: Polyglot teams gain the most from consolidating on one framework.

Top picks for Mixed / polyglot

  1. #1
    Microsoft Semantic Kernel

    ×1.2 overhead

  2. #2
    LangGraph

    ×1.0 overhead

  3. #3
    OpenAI Agents SDK

    ×1.1 overhead

Starter scaffolds

Buzzi 为上述顶级选项提供 Mixed / polyglot-compatible 入门脚手架。运行向导以下载根据您的任务模式定制的 2 智能体 hello-world ZIP。

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FAQ

  1. Which multi-agent framework is best for Mixed / polyglot?

    Polyglot teams gain the most from consolidating on one framework. The wizard ranks every viable option for your specific workload.

  2. Can I switch frameworks after starting in Mixed / polyglot?

    可以，但成本是真实的 — 大多数智能体代码都耦合到其框架的原语。深思熟虑地选择一次。

  3. Does Mixed / polyglot performance differ across frameworks?

    略微。Token 成本主导运行时；框架级开销在大多数工作负载中只占总成本的一小部分。

  4. Are the recommendations for Mixed / polyglot the same as Python?

    不 — 特定于语言的约束可能完全排除框架。请参阅上面的约束说明。