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Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents
Jev‑Mem splits agentic memory work between a fast System‑One controller (handling typing, organization, routing, budgeting, graph traversal, scoring, and stopping) and a slower System‑Two reasoning plane, cutting memory‑construction time 6.6×, query latency 36.7% and boosting LLM‑as‑a‑Judge score 11% on LoCoMo.
Hugging Face Daily Papersarxiv.org1 minpaper
