# memory-graph

> memory-graph — maithanhduyan-memory-graph. Use this tool when you need to visualize and manage complex relationships between code changes and their context. It solves problems of understanding commit history and identifying relevant information by generating a graph of memory references. The memory-graph tool takes git repository data as input and outputs a visual representation of the commit graph, ideal for use in debugging and development contexts.

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

## Description

Memory Graph - Model Context Protocol

## Trust

- **Trust score (0–1):** 0.43
- **Verification tier:** scanned
- **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/maithanhduyan/memory-graph)

## 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": "maithanhduyan-memory-graph"
    }
  }
}
```

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