[HUGGINGFACE]score: 0.55
AgingBench Measures Deployed Agent Reliability Degradation Over Time
May 24, 2026
AgingBench is a longitudinal benchmark that evaluates how deployed agents degrade after initialization as memory stores grow, facts are revised, and maintenance occurs — even with frozen model weights. It distinguishes degradation types and targets repair interventions, addressing the gap between day-one benchmarks and real operational lifespans.
paper
HOW THIS AFFECTS YOU
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builderWorth watching — if you're running persistent agents in production, this framework gives you a structured way to detect and diagnose reliability degradation over deployment lifetime.
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researcherFormalizes agent lifespan as a measurable reliability property distinct from base model capability, introducing a new evaluation axis for long-lived agent systems.