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Regimes: An Auditable, Held-Out-Gated Improvement Loop Demonstrated on LongMemEval with ActiveGraph

arXiv cs.AI ↗ · 2026-06-10 Cached

Regimes is an auditable, held-out-gated improvement loop built on the ActiveGraph event-sourced runtime. It diagnoses failures in AI agents, proposes repairs, and promotes them only after passing multiple gates, improving accuracy on LongMemEval by up to +0.10.

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