this video is f*cking brilliant
a computer science survey mapped 150+ agent memory architectures across 90 pages to build self-evolving long-horizon agents
the result: a 3D taxonomy showing action-based memory and self-evolving structures boost long-horizon retention by 50%
the crazy part is memory is no longer just a passive database lookup
it also trains models to execute tool actions, update parametric weights, and consolidate episodic traces into skills
most memory surveys analyze static database retrieval. this one maps the entire self-evolving agent operating system
read the complete paper below
bookmark it for future reference