LangGraph
Graph-based agent orchestration framework from LangChain, designed for stateful multi-step workflows with persistence and human-in-the-loop checkpoints.
Last updated: April 26, 2026
Definition
LangGraph is the agent orchestration framework from LangChain. It models agents as state graphs: nodes are functions (LLM calls, tool calls, conditional logic), edges are transitions, and the framework manages state persistence, retries, streaming, and pause-and-resume across the run. It is the most popular choice in 2026 for non-trivial agent workflows that need durable state, branching, or human-in-the-loop checkpoints. Comes in Python (langchain-ai/langgraph) and JavaScript (langchain-ai/langgraphjs) versions, plus a managed cloud product (LangGraph Platform).
When To Use
Pick LangGraph when your agent has stateful multi-step workflows, branching logic, or pause-and-resume requirements (human approval, long tool execution). Skip for simple single-shot chains.
Related Terms
Building with LangGraph?
I've shipped this pattern in real production systems. If you want a second pair of eyes on your architecture, that's what I do.