langgraph

Why we included this project

LangGraph is the orchestration layer many teams reach for when they need agents that survive long-running, multi-step work without losing their place. Instead of a single chat loop, you model the agent as a graph of nodes and edges, which gives you explicit control over branching, retries, and state transitions. That structure pays off in production: durable execution lets a workflow pause and resume after a crash, and human-in-the-loop interrupts let a person inspect or edit state mid-run before the agent continues. It also ships with short- and long-term memory primitives, so sessions can carry context across turns. For multi-agent systems and tool-heavy workflows, this is a solid foundation to build on, and it works standalone or alongside the wider LangChain ecosystem.