# Claude Code Memory Server

> Use this tool when you need to retain contextual information and track development tasks across sessions and projects, solving problems of knowledge loss and enabling efficient code pattern recognition. It provides a persistent memory interface that takes in code-related data and outputs contextual assistance, leveraging a Neo4j graph database to store and retrieve information. Ideal for use in complex coding projects where knowledge retention and pattern recognition are crucial.

Canonical page: https://skillsregistry.net/skills/viralv00d00-claude-code-memory  
JSON: https://api.skillsregistry.net/v1/skills/viralv00d00-claude-code-memory

## Description

Provides persistent memory capabilities for Claude Code using Neo4j graph database to track development tasks, code patterns, solutions, and their relationships across sessions and projects, enabling contextual assistance and pattern recognition.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/utkpj7teow)
- **Repository:** <https://github.com/ViralV00d00/claude-code-memory>

## 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": "viralv00d00-claude-code-memory"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/viralv00d00-claude-code-memory` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/viralv00d00-claude-code-memory/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