The collaboration between Gaoling School of Artificial Intelligence, Renmin University of China published a paper in January 8, 2026 titled "Memory Matters More: Event-Centric Memory as a Logic Map for Agent Searching and Reasoning" which introduces CompassMem, an innovative event-centric memory framework designed to enhance how large language model agents process and retrieve information. Unlike traditional systems that store experiences as flat, independent text snippets, this framework organizes memory into a structured Event Graph inspired by human cognitive theories. By segmenting interactions into discrete events and establishing explicit logical relations—such as causality and temporal order—the system creates a navigable logic map. During inference, autonomous agents use a multi-agent search strategy involving Planners and Explorers to actively navigate this graph rather than relying on simple semantic similarity. This approach significantly improves performance on long-horizon reasoning tasks, as demonstrated by superior results on benchmarks like LoCoMo and NarrativeQA. Ultimately, CompassMem transforms memory from a passive storage repository into an active, structured guide for complex decision-making. Source: January 8, 2026 Memory Matters More: Event-Centric Memory as a Logic Map for Agent Searching and Reasoning https://arxiv.org/pdf/2601.04726