Building agents is increasingly becoming less about “how smart is the model?” and more about “what does the agent remember, retrieve, and use at the right moment?” This experiment explores that…

Anannya Roy Chowdhury, a developer, argues that AI agents' failures often stem from memory limitations rather than reasoning capabilities. The article explores how agents' performance depends on what they remember, retrieve, and use at the right moment, suggesting that improving memory architecture is key to enhancing agent effectiveness.

Your Agent Doesn't Have a Reasoning Problem, It Has a Memory Problem Anannya Roy Chowdhury Anannya Roy Chowdhury Anannya Roy Chowdhury Follow Aug 24 Your Agent Doesn't Have a Reasoning Problem, It Has a Memory Problem ai agents architecture programming 11 reactions 1 comment 9 min read