Demystifying Agent Memory

This article explores how memory systems enable AI agents to improve performance across multiple interactions. Rather than relying solely on vector databases, the authors propose a layered approach comprising working memory, procedural memory, semantic memory, and behavioral memory. The piece emphasizes that non-parametric memory offers production teams better control, explainability, and flexibility when deploying enterprise agents.