Iterative Reasoning With Dynamic Context Selection

AI agent memory: MRAgent cuts token use up to 27x | VentureBeat

MRAgent from NUS replaces static retrieve-then-reason memory with active reconstruction during reasoning, cutting token use 27x over competing frameworks. The system treats memory as an interactive graph where agents dynamically refine retrieval paths based on intermediate evidence, using a three-layer Cue-Tag-Content structure and automated ingestion pipelines.