Reglos splits personal-agent memory into two loops: memory grows with each chat while a coding agent rewrites the harness
Reglos, a personal memory agent, splits improvement across two time scales: each user's memory grows online as conversations arrive, while the harness that decides which memories reach the model is revised offline by a coding agent. A critic from a second model family screens patches for benchmark gaming, and a fixed evaluator accepts them only on users held out from development. With Qwen3.8-27B writing memory and answering, Reglos reaches 61.3% on PersonaMem-v2, 7.5 points above the strongest compared system.