LangGraph
Stateful agent orchestration framework from LangChain for building cyclical, multi-agent workflows.
Overview
LangGraph: Stateful Agent Orchestration from LangChain
LangGraph is Graph-based agent orchestration — supports cycles, branching, persistent state. Real agentic applications loop, branch, and pause for human approval. LangGraph extends LangChain with the graph primitives those flows actually require, plus the deployment infrastructure to run them at scale.
Key Features
- Graph-based agent orchestration — supports cycles, branching, persistent state
- Used by Klarna, Replit, Elastic, and other enterprise agent teams
- Built on LangChain ecosystem with native deployment platform
- Streaming, human-in-the-loop, and time-travel debugging built-in
- Production-ready vs DIY agent loops
Ideal Use Case
Teams building production agentic applications that need cycles, branching, and persistent state — capabilities LangChain's linear chains don't provide.
Why Use LangGraph
Real agentic applications loop, branch, and pause for human approval. LangGraph extends LangChain with the graph primitives those flows actually require, plus the deployment infrastructure to run them at scale.
FAQ
Q: vs LangChain? A: LangChain is the underlying framework; LangGraph is the agent orchestration layer on top, built for cyclical workflows.
Q: vs CrewAI? A: Both target multi-agent. LangGraph is more flexible (DAG/graph) and tighter to LangChain ecosystem.
tl;dr
Stateful graph-based agent orchestration from the LangChain team. Cycles, branching, HIL, deployment platform.
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Looking for more options? Browse the Developer Tools directory or read our best AI coding tools listicle. LangGraph is also tracked on Crunchbase.
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