AI RESEARCH
Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems
arXiv CS.AI
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ArXi:2605.26302v1 Announce Type: new Long-lived AI agents are increasingly deployed as persistent operational systems, yet they are still evaluated like freshly initialized models. Day-one benchmarks miss a basic systems question: how long does an agent remain reliable after deployment? Even when model weights are frozen, an agent's effective state keeps changing as it compresses interaction history, retrieves from a growing memory, revises facts after updates, and undergoes routine maintenance.