LangChainvsLangGraph
Comparing LangChain and LangGraph — features, pricing, and which is better for your needs in 2026.
LangChain
Framework for building applications powered by language models
Free (open source)
AI Agents & Frameworks
Visit LangChain →LangGraph
Framework for building stateful multi-actor AI applications
Free (open source)
AI Agents & Frameworks
Visit LangGraph →Feature Comparison
| Feature | LangChain | LangGraph |
|---|---|---|
| Pricing | Free (open source) | Free (open source) |
| Category | AI Agents & Frameworks | AI Agents & Frameworks |
| LLM chains | ✓ | — |
| Agents | ✓ | — |
| RAG | ✓ | — |
| Memory | ✓ | — |
| Tool integration | ✓ | — |
| State machines | — | ✓ |
| Multi-agent | — | ✓ |
| Human-in-the-loop | — | ✓ |
| Persistence | — | ✓ |
| Streaming | — | ✓ |
LangChain vs LangGraph: Which Should You Choose?
Both LangChain and LangGraph are powerful tools in the AI space, but they serve different needs.
Choose LangChain if:
- You need llm chains
- You need agents
- You need rag
- You need memory
- You need tool integration
- You prefer free (open source) pricing
Choose LangGraph if:
- You need state machines
- You need multi-agent
- You need human-in-the-loop
- You need persistence
- You need streaming
- You prefer free (open source) pricing
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