Preprint
Sep 2026
EpiCon: Collective Agent Learning through Co-Evolving Multimodal Memory
EpiCon, a shared multimodal memory framework for agent collective learning without updating host model parameters, links question-level memory evolution to a persistent experience bank through two independently trained 2B models: a memory controller and a tree self-organizer.
Ziyun Zeng, Hang Hua, S. Alshammari et al.
· 1 citation