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123 tools · 10 stacks
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AI tools are all over the place. This is the full landscape — 123 tools across 12 categories, mapped and connected. Ready to narrow it down? Build your stack →

Stack Layers
What are you building and how is it defined?
How do you write and ship code?
How does your AI think and act?
Which models and infrastructure power it?
How do you build, observe, and extend it?
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These tools competes with
LangChain
vs
Semantic Kernel

Choose LangChain when…

  • •You want a broad, flexible LLM orchestration toolkit
  • •You need integrations with many tools and data sources
  • •You're prototyping or exploring LLM app patterns

Choose Semantic Kernel when…

  • •.NET or C# is your primary language
  • •You're integrating AI into a Microsoft-stack app
  • •You need enterprise-grade agent orchestration
Field
LangChain
Semantic Kernel
Category
Pipelines & RAG
Agent Frameworks
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
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Stars
⭐ 93,000
⭐ 22,000

LangChain

Most widely used framework for building LLM applications. Chains, agents, RAG pipelines, and deep integrations with 300+ tools.

Semantic Kernel

Microsoft's open-source SDK for integrating AI models into .NET, Python, and Java applications. Enterprise-grade orchestration with plugin architecture.

LangChain Website ↗GitHub ↗
Semantic Kernel Website ↗GitHub ↗

Shared Connections (1)

LiteLLM

Only LangChain (23)

OpenHandsCrewAIAutoGenLangGraphSemantic KernelLangSmithLlamaIndexQdrant

Only Semantic Kernel (1)

LangChain
See full comparison in Explore →