How hook implementation gives Claude Code, Codex, and Cursor persistent memory via Neo4j, without locking you into any one of them.
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Unified Agentic Memory Across Harnesses Using Hooks
Towards Data Science / 5/8/2026
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Key Points
- The article explains how implementing “hooks” enables different agent coding tools (Claude Code, Codex, and Cursor) to share persistent memory.
- It describes using Neo4j as the underlying storage layer so agent experiences can be retained and reused across sessions.
- The approach is positioned as “unified agentic memory” that works across multiple harnesses without forcing users to commit to a single vendor or tooling stack.
- It emphasizes interoperability by decoupling the memory layer from the specific agent harness implementations.
