AI-tools krijgen gedeeld geheugen via hooks en Neo4j

This article explores how developers can implement persistent memory for AI coding assistants like Claude, Codex, and Cursor using hooks and Neo4j database technology. The approach enables these different AI tools to maintain unified memory across sessions without creating vendor lock-in. By leveraging hooks, developers can create a flexible architecture that allows multiple AI harnesses to access and share the same memory system, improving continuity and context awareness across different coding environments.