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LangGraph vs Semantic Kernel

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

LangGraph
Graph-based agent orchestration framework from the LangChain team.
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
  • + Explicit, debuggable graph model for complex flows
  • + Mature Python ecosystem
  • + Tight LangSmith integration
  • + 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
  • − Steeper learning curve than linear agent SDKs
  • − LangChain abstractions are opinionated
  • − 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 5 0

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