Seven principles of real memory for AI agents

The article outlines seven key principles for implementing memory in AI agents, emphasizing the need for memory systems that are persistent, associative, contextual, and capable of forgetting and reflection, aiming to move beyond simple context windows toward more human-like cognitive architectures.