Workflow engines such as Temporal provide durable execution by logging every step of a workflow, so another process can rebuild its state and continue. The same idea matters for AI agents, whose runs can last hours and whose state compounds: a failure late in a run should cost a retry of one step, not the whole task.
Resuming safely requires that any step which might run twice is idempotent, meaning that repeating it has no extra effect.