Durable AI Agents: How to Build Long-Running Workflows That Survive Crashes, Restarts, and Real…

Durable AI Agents: How to Build Long-Running Workflows That Survive Crashes, Restarts, and Real Users The next hard problem in AI engineering is not making an agent impressive for five minutes. It is making the same agent reliable after five hours, three retries, one human approval, a deploy, a failed tool call, and a restart. A durable agent is less like a chatbot and like a small distributed system with memory, logs, checkpoints, approvals, and recovery paths. Most AI agent s quietly assume a perfect run. The model gets a task, calls a few tools, writes a result, and stops.