Cognifold: Always-On Proactive Memory via Cognitive Folding

Agents receive fragmented observations over time, creating a need to organize experience into reusable memory. Existing agent memory remains predominantly reactive and retrieval-based, lacking the capacity to autonomously organize events into persistent cognitive structure. Toward genuinely autonomous agents, we introduce , a proactive agent memory that continuously folds fragmented event streams into persistent structures, bootstrapping progressively higher-level cognition from incoming events and accumulated knowledge. organizes memory into source events, reusable concepts, and candidate intents. As the stream arrives, cognitive structures are proactively assembled, interpreted through accumulated structure, merged when semantically similar, and reweighted by recency, while candidate intents surface from converging concept and event evidence. We evaluate structure formation with CogEval-Bench, a benchmark whose ground truth is established by construction, and show that uniquely produces event-grounded concepts that match the reference structure together with supported candidate intents. also performs robustly on conventional long-term memory benchmarks (LoCoMo, LongMemEval).