Jev-Mem paper reports faster memory construction for AI agents
The Jev-Mem paper proposes an agentic memory architecture in which a lightweight controller makes storage and retrieval decisions and an LLM is used only for final reasoning. It reports 6.6x faster memory construction, 36.7% lower query latency, and a LoCoMo score of 0.777.