Understanding CoALA: A Cognitive Architecture for Language Agents (2023) (opens in new tab)

Note: This article is a summary and interpretation of the research paper Cognitive Architectures for Language Agents (2023) by Michael Sumers, Shunyu Yao, Karthik Narasimhan, and Thomas L. Griffiths. Rather than proposing a new architecture, the goal here is to explain the paper's core ideas in an accessible way and explore why they matter for the future of AI memory systems. Modern language agents feel intelligent, but under the hood they are still fragile systems stitched together with prom...