Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline 事件

Exploring Cross-Scenario Generality of Agentic Memory Systems: Diagnostics and a Strong Baseline arXiv:2606.04315v1 Announce Type: new Abstract: LLM agents accumulate histories that outgrow their context windows, motivating a growing literature on memory systems. Yet most existing designs are tuned to a single scenario (multi-session chat or a single trajectory format), and there is little evidence that they generalize across the heterogeneous trajectories agents encounter in deployment. We rev