What does state persistence mean for long-running AI agents?

State persistence means the important context of an agent run survives beyond one process, request, or runtime session. For a long-running AI agent, that state can include completed steps, tool results, session information, workflow variables, handoff context, and pending work. Without persisted state, a restart can erase the agent's progress or force the team to rebuild context manually. In production, state persistence should be paired with workflow history, access control, and observability. Diagrid Catalyst connects those concerns through durable workflows and agent session management.