# memory-mcp

> memory-mcp — dog-m-memory-mcp. Use this tool when you need to manage long-term AI memories with a lightweight and portable solution. The memory-mcp server utilizes JSON storage, allowing for efficient data input and output, and can be integrated with git for version control. It is ideal for AI applications requiring persistent memory management, providing a simple and effective way to store and retrieve data.

Canonical page: https://skillsregistry.net/skills/dog-m-memory-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dog-m-memory-mcp

## Description

A lightweight, portable MCP server in Go for managing long-term AI memories with JSON storage.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/dog-m/memory-mcp)

## 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": "dog-m-memory-mcp"
    }
  }
}
```

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