LangChain vs AutoGen(2026)
LangChain is better for teams that need largest ecosystem. AutoGen is the stronger choice if best for multi-agent scenarios. LangChain is open-source (from $0) and AutoGen is open-source (from $0).
Full feature breakdown, pricing details, and pros & cons below.
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LangChain
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 LangChainAutoGen
AutoGen is Microsoft's open-source framework for building multi-agent LLM applications where agents converse with each other, use tools, and collaborate to complete complex tasks.
Starting at $0
Visit AutoGenHow Do LangChain and AutoGen Compare on Features?
| Feature | LangChain | AutoGen |
|---|---|---|
| Pricing model | open-source | open-source |
| Starting price | $0 | $0 |
| Chains and agents | ✓ | — |
| RAG support | ✓ | — |
| Memory management | ✓ | — |
| Tool calling | ✓ | — |
| LangSmith (observability) | ✓ | — |
| Vector store integrations | ✓ | — |
| Python + JS | ✓ | — |
| Multi-agent conversations | — | ✓ |
| Human-in-the-loop | — | ✓ |
| Code execution | — | ✓ |
| Tool use | — | ✓ |
| GroupChat orchestration | — | ✓ |
| Async support | — | ✓ |
| Studio UI | — | ✓ |
LangChain Pros and Cons vs AutoGen
LangChain
AutoGen
Should You Use LangChain or AutoGen?
Choose LangChain if…
- •Largest ecosystem
- •Best documentation
- •Rapid prototyping
Choose AutoGen if…
- •Best for multi-agent scenarios
- •Microsoft backing
- •Active research community