# Neo4j Knowledge Graph Memory

> Use this tool when you need to build AI assistants with long-term memory capabilities, storing and retrieving user-specific interactions across sessions. It solves problems of context loss and information recall, providing a searchable memory bank with semantic search capabilities and graph-based relationships. Ideal for use cases requiring persistent memory storage, context retrieval, and intelligent information management, with inputs of user interactions and outputs of relevant memories and context.

Canonical page: https://skillsregistry.net/skills/sylweriusz-mcp-neo4j-memory-server  
JSON: https://api.skillsregistry.net/v1/skills/sylweriusz-mcp-neo4j-memory-server

## Description

Store and retrieve user-specific memories across sessions using Neo4j graph database. This MCP memory infrastructure enables AI assistants to maintain context, recall past interactions, and manage memories with semantic search capabilities. Transform your agent's conversations into a searchable memory bank with entities and relationships.

### Key capabilities:
- **Store memories** persistently across multiple sessions
- **Retrieve context** with hybrid semantic and exact search  
- **Manage memory banks** with multi-database project isolation
- **Recall information** through vector embeddings and graph traversal
- **Memory extension** for AI agents with temporal tracking
- **Knowledge graph** format with intelligent relationships

Perfect for building AI assistants with long-term memory, maintaining user context, and creating memory systems that remember preferences and past interactions. Self-hosted memory infrastructure built on Neo4j for reliability and performance.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/sylweriusz/mcp-neo4j-memory-server)
- **Repository:** <https://github.com/sylweriusz/mcp-neo4j-memory-server/>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sylweriusz-mcp-neo4j-memory-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sylweriusz-mcp-neo4j-memory-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sylweriusz-mcp-neo4j-memory-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt