Google ADK vs Semantic Kernel: Agent Frameworks Comparison
Compare Google ADK and Semantic Kernel side by side. Both are tools in the Agent Frameworks category.
Updated March 10, 2026
The short answer
Choose Google ADK if code-first approach enables testable, maintainable agent development.
Choose Semantic Kernel if free open-source.
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Quick Comparison
| Category | Agent Frameworks | Agent Frameworks |
| Pricing | — | Open Source |
| Best For | — | Enterprise .NET developers building AI applications on Microsoft infrastructure |
| Website | google.github.io | learn.microsoft.com |
| Key Features | — |
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| Use Cases | — |
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Pros & Cons: Google ADK vs Semantic Kernel
- +Code-first approach enables testable, maintainable agent development
- +Comprehensive evaluation framework builds trustworthy agents
- +Modular design supports scalable multi-agent architectures
- +Open source with active community contributions
- −Optimized primarily for Google Cloud ecosystem
- −May be overly structured for simple use cases
- −Less flexibility for multi-cloud or non-Google deployments
- +Free open-source
- +Microsoft-backed
- +Multi-language
- −Learning curve
- −Microsoft focus
Pricing: Google ADK vs Semantic Kernel
- · Full framework access
- · Python and TypeScript support
- · Self-hosted deployment
- · Community support
- · Gemini model access
- · Managed infrastructure
- · Enterprise support
- · SLA guarantees
- · Core features
- · Advanced features
- · Custom
When to Choose Google ADK vs Semantic Kernel
- Enterprise AI on Microsoft stack
- Copilot-style applications
- Integrating AI into .NET applications
How to Choose a Agent Frameworks Tool
Key criteria to evaluate when comparing Agent Frameworks solutions:
About Google ADK
Google's Agent Development Kit (ADK) is a flexible and modular framework launched in 2024 for developing and deploying AI agents using a code-first approach. The ADK was designed to make agent development feel more like traditional software development, enabling developers to create, deploy, and orchestrate agentic architectures ranging from simple tasks to complex multi-agent workflows. Available for both Python and TypeScript, ADK emphasizes writing clean, testable, and maintainable code rather than relying heavily on prompt engineering.
The framework's modular design enables developers to build specialized agents and compose them into hierarchical, scalable systems. ADK is not just a wrapper around language models but a comprehensive ecosystem for agent composition, workflow orchestration, behavior evaluation, and production deployment. The framework includes robust evaluation capabilities that help developers build trustworthy agents with clear feedback loops. TypeScript's type system makes data contracts between agents clear and robust, enhancing reliability in production environments.
While ADK offers deployment-agnostic capabilities that work with various hosting options, it is optimized for the Google Cloud ecosystem, particularly with Gemini models and Vertex AI. The open-source nature of ADK allows community contributions and evolution based on real-world usage. Developers appreciate ADK's structured approach, comprehensive evaluation framework, and software engineering principles, though teams working outside the Google ecosystem may find alternatives like Genkit more flexible for their needs.
About Semantic Kernel
Microsoft Semantic Kernel is open-source SDK for building AI applications combining LLMs with programming. Multi-language support.
What is Agent Frameworks?
Developer frameworks and SDKs for building autonomous AI agents with tool use, planning, multi-step reasoning, and orchestration capabilities.
Browse all Agent Frameworkstools →Frequently Asked Questions
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