# memory-graph

> Use this tool when you need to visualize and analyze the memory usage of a Git repository over time, identifying memory-intensive commits and optimizing performance. It solves problems related to memory leaks, slow performance, and repository optimization, providing inputs such as Git repository data and outputs like visualized memory graphs. Ideal for use cases where repository maintenance and performance tuning are crucial, such as large-scale Git projects or frequent code updates.

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

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/gregorydickson/memory-graph)
- **Repository:** <https://github.com/gregorydickson/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": "gregorydickson-memory-graph"
    }
  }
}
```

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