AI agents are increasingly deployed as presistent operational systems, while they can quietly fail after deployment. We call this "agent aging", akin to human aging.
Our new work refers to the problem space of evaluating their reliability as Agent Lifespan Engineering, and propose AgingBench as a benchmark foundation to measure it. Welcome to explore our findings and try to check an agent lifespan.
AI agents are increasingly deployed as presistent operational systems, while they can quietly fail after deployment. We call this "agent aging", akin to human aging.
Our new work refers to the problem space of evaluating their reliability as Agent Lifespan Engineering, and propose AgingBench as a benchmark foundation to measure it. Welcome to explore our findings and try to check an agent lifespan.