Building Agent Memory in Node.js

Many agent implementations rely heavily on embeddings, yet vector databases alone cannot solve agent memory. This session explores the different memory layers required for production ready agents and how they interact within a Node.js runtime. You’ll see practical approaches for managing conversation history, maintaining tool state across multi step workflows, and structuring long term context so agents retrieve useful information instead of irrelevant data. A hands on demo shows how a multi layer memory stack works and where single layer approaches break down.