memory-cues

CueMem is a cue-guided framework for long-term conversational memory that reconstructs dialogue context using retrieval cues to improve performance over existing baselines in LLM-powered agents.

This paper proposes SAM, a state-adaptive memory framework that dynamically manages interaction histories for long-horizon agentic reasoning, enabling intent-driven recall without retraining the backbone model. It outperforms strong baselines across multiple benchmarks like BrowseComp and HLE.