Microsoft Agent Framework vs Google Agent Development Kit (ADK)

Detailed side-by-side comparison to help you choose the right tool

Microsoft Agent Framework

AI Agent Framework

Microsoft's unified open-source framework for building AI agents and multi-agent systems, combining AutoGen's multi-agent patterns with Semantic Kernel's enterprise features into a single Python and .NET SDK.

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Starting Price

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Google Agent Development Kit (ADK)

🔴Developer

AI Development Platforms

Google's open-source framework for building, evaluating, and deploying multi-agent AI systems with Gemini and other LLMs.

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Starting Price

Free

Feature Comparison

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FeatureMicrosoft Agent FrameworkGoogle Agent Development Kit (ADK)
CategoryAI Agent FrameworkAI Development Platforms
Pricing Plans4 tiers4 tiers
Starting PriceContactFree
Key Features
  • Agent orchestration (dynamic, LLM-driven)
  • Workflow orchestration (deterministic, graph-based)
  • Python SDK with full feature parity

    Microsoft Agent Framework - Pros & Cons

    Pros

    • Only major agent framework with genuine first-class .NET support — if your team writes C#, this is essentially your only serious option
    • Combines AutoGen's proven multi-agent research patterns with Semantic Kernel's production-grade enterprise features
    • Free and open-source (MIT) with no licensing traps — only pay for the models and compute you use
    • Checkpointing and time-travel debugging are genuinely useful features that most competing frameworks lack
    • MCP and A2A protocol support future-proofs agent interoperability as these standards mature
    • Backed by Microsoft with dedicated teams, extensive documentation, and Azure integration for managed hosting

    Cons

    • Still in public preview (GA targeted Q1 2026) — APIs may change, and production deployment carries preview-stage risk
    • Microsoft's framework churn track record creates trust issues: developers burned by AutoGen → Semantic Kernel → Agent Framework migrations are understandably skeptical
    • Documentation is improving but still reflects the merger — some pages reference AutoGen or Semantic Kernel concepts that have been reorganized
    • The learning curve is steep for teams new to multi-agent patterns: understanding when to use agent vs. workflow orchestration takes experimentation
    • Community ecosystem is smaller than LangChain's — fewer pre-built tools, integrations, and tutorials available
    • Python SDK may lag .NET in certain edge cases, given Microsoft's natural .NET-first development culture

    Google Agent Development Kit (ADK) - Pros & Cons

    Pros

    • First-party Google support with Gemini optimization
    • Excellent built-in evaluation and testing tools
    • Native MCP protocol support
    • Local web UI for development and debugging
    • Production-tested at Google scale

    Cons

    • Best experience tied to Google Cloud ecosystem
    • Newer than LangChain — smaller third-party ecosystem
    • Python-only currently
    • Gemini-optimized features may not work with all models

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