# claude-graph-memory

> claude-graph-memory — amarodeabreu-claude-graph-memory. Use this tool when you need to enhance Claude Code with a permanent memory, enabling data storage and retrieval without configuration. It solves problems of data loss and improves development efficiency by providing a 100% local, graph-powered memory solution. Ideal for use cases requiring persistent data storage, such as version control with git, this tool accepts code inputs and outputs stored data for seamless integration.

Canonical page: https://skillsregistry.net/skills/amarodeabreu-claude-graph-memory  
JSON: https://api.skillsregistry.net/v1/skills/amarodeabreu-claude-graph-memory

## Description

Give Claude Code a permanent memory — 100% local, zero config, graph-powered

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/amarodeabreu/claude-graph-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": "amarodeabreu-claude-graph-memory"
    }
  }
}
```

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