LangChain vs LangGraph
Side-by-side comparison with live GitHub signals. Last updated July 6, 2026.
| Metric | LangChain | LangGraph |
|---|---|---|
| GitHub Stars | 141.1K | 36.6K |
| Contributors | 469 | 275 |
| Last Commit | Jul 6, 2026 | Jul 5, 2026 |
| Open Issues | 406 | 602 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
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About LangChain
LangChain is the most widely adopted framework for building LLM-powered applications. It provides modular abstractions for chains, agents, memory, retrievers, and tools, enabling developers to compose complex pipelines from reusable components. Available in both Python and JavaScript/TypeScript, LangChain integrates with every major LLM provider, vector store, and data source. Its ecosystem includes LangSmith for observability and LangGraph for stateful, graph-based agent workflows.
View full listingAbout LangGraph
LangGraph is LangChain's framework for building stateful, multi-actor agent applications as graphs. Define agents as nodes and their interactions as edges, with built-in persistence, streaming, human-in-the-loop, and time-travel debugging. The standard for production agent orchestration in the LangChain ecosystem.
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