Jev-Mem：系统一控制的智能体记忆，用于高效AI智能体
Jev-Mem: System-One-Controlled Agentic Memory for Efficient AI Agents
- The University of Texas at Dallas（德克萨斯大学达拉斯分校）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
Jev-Mem提出一种受系统一/系统二认知启发的智能体记忆架构，通过系统一控制平面实现高效记忆组织与检索，系统二仅用于复杂推理，在LoCoMo上显著提升效率与效果。
AI中文摘要：
智能体记忆对于长时程AI智能体正变得至关重要，然而许多现有系统依赖自回归LLM来控制记忆的组织、检索和使用方式，将昂贵的生成过程置于记忆操作的关键路径上。我们引入了\textbf{\method}，一种受系统一/系统二认知启发的新型智能体记忆架构。系统一捕捉快速、轻量级的决策，而系统二执行较慢的、深思熟虑的推理。Jev-Mem通过专用的系统一控制平面、结构化的多关系记忆平面和系统二推理平面，将这种分工引入智能体记忆。系统一控制器在构建期间管理记忆类型和关系组织，并在检索期间动态执行查询路由、检索预算分配、图遍历、候选评分和自适应停止。系统二仅在复杂推理和答案合成时被调用。这种设计同时提高了记忆有效性和系统效率：在LoCoMo上，Jev-Mem实现了0.777的整体LLM-as-a-Judge分数，相对于最强基线相对提升了11.0%，同时将记忆构建时间减少到158秒，比最快的竞争记忆系统提速6.6倍，并将平均查询延迟降低到0.93秒，减少了36.7%。
英文摘要：
Agentic memory is becoming essential for long-horizon AI agents, yet many existing systems rely on autoregressive LLMs to control how memories are organized, retrieved, and used, placing expensive generation on the critical path of memory operations. We introduce \textbf{\method}, a new agentic memory architecture inspired by System-One/System-Two cognition. System One captures fast, lightweight decision-making, whereas System Two performs slower, deliberative reasoning. Jev-Mem brings this division of labor to agentic memory through a dedicated System-One control plane, a structured multi-relational memory plane, and a System-Two reasoning plane. The System-One controller governs memory typing and relational organization during construction, and dynamically performs query routing, retrieval-budget allocation, graph traversal, candidate scoring, and adaptive stopping during retrieval. System Two is invoked only for complex reasoning and answer synthesis. This design improves both memory effectiveness and system efficiency: on LoCoMo Jev-Mem achieves an overall LLM-as-a-Judge score of 0.777, an 11.0\% relative improvement over the strongest baseline, while reducing memory construction time to 158\,s, a 6.6$\times$ speedup over the fastest competing memory system, and lowering average query latency to 0.93\,s, a 36.7\% reduction.
