LangGraph: stateful agents as cyclic graphs with loops and branching
In one sentence LangChain launches LangGraph, a framework for building agents as node graphs with persistent state, support for cycles, conditional branching, and parallel execution of complex workflows.
Most agent frameworks in 2023 were limited to linear sequences or simple loops. LangGraph introduces a different metaphor: the agent is a directed graph where each node is a function or a model, edges define flow, and the graph can have cycles.
This means an agent can loop back to a previous step, run two steps in parallel, or choose different paths based on current state. Agent state is explicit and persistent between nodes.
LangGraph becomes the standard way to build complex agents in the LangChain ecosystem, used for multi-step RAG systems, debugging agents, and human approval workflows.
Companies
LangChain
Tools
LangGraph, LangChain
Tags
Sources