Keep the Record, Rebuild the Rule
TL;DR for operators An AI agent can retain a complete record of what it did without permanently storing every rule it infers from that record. This distinction matters when an instruction derived from one successful task is subsequently reused in circumstances where it no longer applies. A new agent-memory architecture called Anti-Persistence keeps execution trajectories and outcomes but generates task-specific guidance only when needed, discarding that guidance afterward. Across nine benchmark–model combinations, it achieves 59.9% mean held-out success, compared with 53.5% for trajectory-only memory, 49.0% for abstraction-only memory, and 49.3% for joint memory. ...