Build Persistent Graph Memory for AI Agents with Neo4j

Build Persistent Graph Memory for AI Agents with Neo4j cover

Overview

This workshop covers building persistent, structured agent memory with Neo4j graphs. In Part 1, you work through a Jupyter notebook and GLiNER entity extraction against your own Neo4j instance using the POLE+O schema. In Part 2, you run a production-style TypeScript chatbot with Vercel Eve and compare five memory modes: off, provider, middleware, tools, and hooks.

Neo4jAIPythonTypeScriptVercel

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