Observed arrival · 2026-10-25
Gehan Panapitiya’s Test of What AI Agents Should Forget
An independent researcher is testing whether agents can use evidence from their own records to forget outdated memories without losing safety constraints.
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- Researchers building and evaluating production AI agents
- Worth noticing
- The proposed decay rule uses incident recurrence, action outcomes, and later contradictions as its three evidence signals.
Field notes
The page separates memory decay from the mechanisms that govern what an agent may change, measure whether it improved, and stop it when it did not. Its production example is carefully bounded: the reported 15% incident-closure rate does not isolate memory as the cause, and the page names permissions, tooling, and model capability as other possible factors.
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