Low-level framework for stateful, graph-based agent orchestration
LangGraph is a framework from the LangChain team for building agents as graphs. You define nodes that do work and edges that decide where to go next, with a shared state object that persists between steps. That explicit structure buys durability, streaming, interrupt and resume, and human-in-the-loop checkpoints - the parts that are hard to bolt onto a loop of prompts after the fact. It is deliberately lower-level than agent frameworks that decide the flow for you, which is the point: teams that need control over branching and recovery choose it for exactly that reason.
Last updated: 2026-09-20. This site only provides an index; for exact features, pricing, and licensing, see the official website.
production agents, long-running workflows, complex branching logic and research systems
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Loops lose context when something fails midway. A graph keeps explicit state, so a run can be checkpointed, resumed and audited, and a human can step in at a defined point.
No, though it fits that ecosystem best. It works with other model providers and tools, and many teams adopt it purely for the durable execution and interrupt features.
Moderate. Basic graphs are quick, but reducers, state schemas and checkpointing take real practice. Expect a day or two before the model clicks for a developer new to it.
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