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LangChain vs LangGraph

LangChain is a broader LLM app framework; LangGraph focuses specifically on agent orchestration.

Which 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.