📖 The AI Tool Bible

LangGraph vs Semantic Kernel

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
LangGraph
Agents
Semantic Kernel
Agents
TaglineStateful, graph-based agent orchestration from LangChain.Microsoft's open-source SDK for wiring LLMs, plugins, and agents into enterprise .NET, Python, and Java apps.
CategoryAgentsAgents
PricingFreemium· Free open-source; LangGraph Platform paidFree· Free, MIT-licensed SDK; you pay for the underlying model APIs
ModelBYO (Claude / GPT / open)Multi-model
Editorial score8.8 / 10—
Use cases
stateful agentshuman-in-loopproduction
agent-orchestrationllm-pluginsrag-pipelinesenterprise-aimulti-agent-workflows
Pros
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
  • First-class C#, Python, and Java SDKs, rare among agent frameworks
  • Open source (MIT) and backed by Microsoft with active roadmap
  • Deep Azure OpenAI, Azure AI Search, and Cosmos DB integrations
  • Built-in filters, telemetry, and DI patterns suited to enterprise apps
  • Plugin model works with native functions and OpenAPI-described tools
Cons
  • Steeper learning curve than CrewAI
  • Verbose to set up
  • APIs have churned across versions; upgrades can be painful
  • Agent and Process frameworks still maturing vs. established rivals
  • Best-in-class only if you're already in the Microsoft ecosystem
  • Steeper learning curve than lightweight prompt libraries
Websitewww.langchain.comlearn.microsoft.com
Pick LangGraph if
  • ✅ Reliable, debuggable agent graphs
  • ✅ Built-in persistence + HITL
  • ✅ Production-grade
  • ✅ Tight LangSmith integration
Pick Semantic Kernel if
  • ✅ First-class C#, Python, and Java SDKs, rare among agent frameworks
  • ✅ Open source (MIT) and backed by Microsoft with active roadmap
  • ✅ Deep Azure OpenAI, Azure AI Search, and Cosmos DB integrations
  • ✅ Built-in filters, telemetry, and DI patterns suited to enterprise apps
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