Updated April 2026

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 ships Mixed / polyglot-compatible starter scaffolds for the top picks above. Run the wizard to download a 2-agent hello-world ZIP customised to your task pattern.

Run the selector

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?

    Yes, but the cost is real — most agent code couples to its framework's primitives. Pick once, deliberately.

  3. Does Mixed / polyglot performance differ across frameworks?

    Marginally. Token costs dominate runtime; framework-level overhead is a small fraction of total cost in most workloads.

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

    No — language-specific constraints can rule frameworks out entirely. See the constraints note above.