[::] Agentic Stacks

Google ADK vs Semantic Kernel

Pick two tools from the same category to compare side-by-side.

Google ADK
Open-source, code-first toolkit from Google for building, evaluating, and deploying AI agents.
Semantic Kernel
Microsoft's open-source SDK for embedding LLM agents and plugins into .NET, Python, and Java apps.
Category frameworkframework
Vendor type hybridopen source
Pricing freemiumfree
Strengths
  • + Code-first design with explicit control over orchestration and tools
  • + Native multi-agent composition and delegation
  • + Built-in evaluation and local dev CLI (adk run, adk web)
  • + Backed by Google with paths to managed Vertex AI deployment
  • + Strong enterprise and multi-language support (.NET, Python, Java)
  • + Plugin/connector model and Azure ecosystem integration
  • + Backed by Microsoft with extensive documentation
  • + Established memory and planner/agent primitives
Tradeoffs
  • − Newer framework with a smaller community than longer-established options
  • − Strongest ergonomics within the Google/Gemini and Cloud ecosystem
  • − Most new investment has shifted to Microsoft Agent Framework
  • − API churn and migration overhead for long-lived projects
  • − Heavier, enterprise-oriented abstractions
Used in stacks 0 0

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