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neo4j-agent-memory-skill

Official

Build graph-native agent memory with Neo4j

Software Engineering#agent memory#MCP tools#neo4j#reasoning traces#POLE+O#graph-native context
Authorneo4j-contrib
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you design and implement persistent, graph-native memory for AI agents so conversations, extracted entities, and reasoning traces can be stored and retrieved coherently in Neo4j.

Core Features & Use Cases

  • Short-term memory: store conversation history (and support context retrieval) as Neo4j graph data for continuity across sessions.
  • Long-term memory (POLE+O): model structured knowledge—Person, Object, Location, Event, and Organization—derived from agent interactions.
  • Reasoning traces: persist thought/action/provenance as first-class graph nodes so agents can learn from prior reasoning patterns.
  • Hosted service (NAMS): use the Neo4j Agent Memory Service at memory.neo4jlabs.com with REST and hosted MCP tools for managed memory operations and sharing.

Quick Start

Use the neo4j-agent-memory skill when you are setting up graph-native agent memory with the neo4j-agent-memory package or the hosted NAMS service for conversation, POLE+O entity knowledge, and reasoning trace persistence.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: neo4j-agent-memory-skill
Download link: https://github.com/neo4j-contrib/neo4j-skills/archive/main.zip#neo4j-agent-memory-skill

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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