Model agent workflows as stateful graphs — nodes execute LLM calls or tools, edges control flow — for reliable, debuggable agents.
Five passes over the same idea, each from a different angle. Do them in order, or jump to whichever you need.
LangGraph brings the clarity of graph-based state machines to agentic workflows. Each node is a function receiving state and returning state updates. Edges define conditional branching. The result is an explicit, debuggable execution model that survives reloads, supports human-in-the-loop interrupts, and enables visualisation of agent reasoning paths.
