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235 tools · 33 stacks

AI tools are all over the place. This is the full landscape — 247 tools across 21 categories, mapped and connected. Ready to narrow it down? Build your stack →

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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
Semantic Kernel
vs
LangChain

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

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
Field
Semantic Kernel
LangChain
Category
Agent Frameworks
Pipelines & RAG
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
—
—
Stars
⭐ 22,000
⭐ 93,000
Health
●95 — Active
●100 — Active
Trajectory
— not enough data
— not enough data
Synced
today
today

Semantic Kernel

Microsoft open-source SDK for integrating AI models into .NET, Python, and Java applications. Officially superseded by Microsoft Agent Framework 1.0 (April 2026), which merges AutoGen and Semantic Kernel. Existing applications stay supported; new builds should target Agent Framework.

LangChain

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

Semantic Kernel Website ↗GitHub ↗
LangChain Website ↗GitHub ↗

Shared Connections (1)

LiteLLM

Only Semantic Kernel (2)

LangChainMicrosoft Agent Framework

Only LangChain (32)

OpenHandsCrewAIAutoGenLangGraphSemantic KernelLangSmithLlamaIndexQdrant
See full comparison in Explore →