Semantic Kernel vs LangChain(2026)
Semantic Kernel is better for teams that need best .net support. LangChain is the stronger choice if largest ecosystem. Semantic Kernel is open-source (from $0) and LangChain is open-source (from $0).
Full feature breakdown, pricing details, and pros & cons below.
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Semantic Kernel
Semantic Kernel is Microsoft's open-source AI SDK that enables developers to integrate LLMs into .NET, Python, and Java applications with plugins, memory, and multi-agent orchestration.
Starting at $0
Visit Semantic KernelLangChain
LangChain is the most widely used framework for building LLM applications with chains, agents, memory, and retrieval-augmented generation (RAG) — available in Python and JavaScript.
Starting at $0
Visit LangChainHow Do Semantic Kernel and LangChain Compare on Features?
| Feature | Semantic Kernel | LangChain |
|---|---|---|
| Pricing model | open-source | open-source |
| Starting price | $0 | $0 |
| Plugin architecture | ✓ | — |
| Memory management | ✓ | ✓ |
| Multi-agent orchestration | ✓ | — |
| .NET/Python/Java | ✓ | — |
| Azure OpenAI integration | ✓ | — |
| Process framework | ✓ | — |
| Planners | ✓ | — |
| Chains and agents | — | ✓ |
| RAG support | — | ✓ |
| Tool calling | — | ✓ |
| LangSmith (observability) | — | ✓ |
| Vector store integrations | — | ✓ |
| Python + JS | — | ✓ |
Semantic Kernel Pros and Cons vs LangChain
Semantic Kernel
LangChain
Should You Use Semantic Kernel or LangChain?
Choose Semantic Kernel if…
- •Best .NET support
- •Enterprise-grade (Microsoft)
- •Strong Azure integration
Choose LangChain if…
- •Largest ecosystem
- •Best documentation
- •Rapid prototyping