complementary-learning-systems

Auto-Dreamer introduces a learned offline memory consolidation method for language agents, decoupling fast memory acquisition from slow cross-session consolidation, and achieving higher performance with smaller memory banks, generalizing to unseen environments.

Introduces Cognifold, a brain-inspired always-on proactive memory for LLM agents that continuously organizes fragmented event streams into self-emerging cognitive structures via graph-topology self-organization, extending Complementary Learning Systems theory with a prefrontal intent layer.