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LangChain vs LangGraph
LangChain is a broader LLM app framework; LangGraph focuses specifically on agent orchestration.
LangChainFramework for building LLM apps and agents
LangGraphFramework for building stateful, controllable AI agentsWhich to pick
Pick LangChain if you want…
- End-to-end agent engineering platform
- General LLM app development
Pick LangGraph if you want…
- Customizable stateful agent orchestration
- A free, open-source tool
Side by side
- What it is
- LangChain:LangChain is an open platform for building, testing, deploying, monitoring, and governing LLM agents.
- LangGraph:LangGraph is an open-source framework for building stateful, controllable AI agents with memory, streaming, and human-in-the-loop support.
- Best for
- LangChain:End-to-end agent engineering platform
- LangGraph:Customizable stateful agent orchestration
- Who it’s for
- LangChain:Developers and teams building AI agents and LLM-powered applications.
- LangGraph:Developers building complex, production-grade AI agents
- Pricing
- LangChain:Freemium
- LangGraph:Open source
- Plans
- LangChain:Developer $0 per seat per month · Plus $39 per seat per month
- LangGraph:—
- Open source
- LangChain:Yes, 147,359 GitHub stars
- LangGraph:Yes, 42,570 GitHub stars
LangChain features
- Build agents fast. Start with proven patterns, customize harness, context, memory and model choice.
- Trace-based testing. Debug runs with step-by-step tracing and query complex traces instantly.
- Managed deployments. Deploy long-running agents with serverless or dedicated sandboxes and 30+ endpoints.
- Production monitoring. Online evals, dashboards and alerts track quality, cost, latency and errors.
- Feedback loop engine. Automatically detect issues, diagnose root causes and feed fixes back into evals.
- Governance controls. Enforce cost limits, data redaction and human approval via LLM Gateway.
LangGraph features
- Human-in-the-loop controls. Add moderation and approval steps to keep agents on track.
- Expressive workflow primitives. Create single, multi-agent, or hierarchical flows with low-level building blocks.
- Persistent memory stores. Maintain conversation history and context across sessions.
- Token-by-token streaming. Stream agent reasoning and actions in real time for better UX.
- Model-agnostic runtime. Run agents with any LLM provider using high-level or fine-grained APIs.
- Open-source MIT license. Free to use and modify without licensing fees.
LangChain vs LangGraph FAQ
Is LangChain or LangGraph free?+
LangChain has a free plan (Developer); paid plans start at $39/month per user (Plus). LangGraph is free and open source.
Which is cheaper, LangChain or LangGraph?+
LangGraph is free, so it costs less. LangChain starts at $39/month per user (Plus).
Is LangChain or LangGraph open source?+
Yes, both are open source: LangChain (langchain-ai/langchain on GitHub, MIT license) and LangGraph (langchain-ai/langgraph on GitHub, MIT license).
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.