These tools competes with
LangChainvsSemantic Kernel
The leading LLM app framework versus Microsoft AI orchestration SDK — superseded by Microsoft Agent Framework
Compare interactively in Explore →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
Side-by-side comparison
Field
LangChain
Semantic Kernel
Category
Pipelines & RAG
Agent Frameworks
Type
Open Source
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
—
—
GitHub Stars
⭐ 93,000
⭐ 22,000
Health
●100 — Active
●95 — Active
LangChain
Most widely used framework for building LLM applications. Chains, agents, RAG pipelines, and deep integrations with 300+ tools.
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 Officially superseded by Microsoft Agent Framework 1.0 (April 2026), which merges AutoGen and Semantic Kernel.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.
Shared Connections1 tools both integrate with
Only LangChain (32)
OpenHandsCrewAIAutoGenSemantic KernelLangSmithLlamaIndexQdrantChromaPineconeWeaviate
Only Semantic Kernel (2)
LangChainMicrosoft Agent Framework
Explore the full AI landscape
See how LangChain and Semantic Kernel fit into the bigger picture — 235 tools, 543 relationships, all mapped.