Your Agents Are Aging Too: Agent Lifespan Engineering for Deployed Systems

In three linesAgingBench, a longitudinal reliability benchmark, measures how deployed AI agents degrade over time. Study across 14 models and ~400 runs shows reliability depends on four mechanisms: compression, interference, revision, and maintenance aging. Agents lose factual precision even when behavioral tests remain clean.

Summary generated by Claude — human-verified