Agent state management is the handling of information an agent needs across steps, turns, sessions, or workflows. State can include task progress, retrieved context, tool outputs, user preferences, intermediate decisions, and external system IDs.
State is different from model context. Context is what the model sees in a specific call. State is the durable or in-memory record the system maintains so the agent can behave coherently over time.