# ferumind

> ferumind — metaphoricalsheep-ferumind. Use this tool when you need to store and manage conversations with AI agents in Markdown format on your local machine. It solves the problem of retaining context and history in AI chats, allowing for easier reference and tracking of discussions. With ferumind, you can input conversation logs and output organized Markdown files, utilizing git for version control and collaboration.

Canonical page: https://skillsregistry.net/skills/metaphoricalsheep-ferumind  
JSON: https://api.skillsregistry.net/v1/skills/metaphoricalsheep-ferumind

## Description

A Markdown memory for your AI chats, running on your own machine. MCP Server

## Trust

- **Trust score (0–1):** 0.36
- **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/MetaphoricalSheep/ferumind)

## 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": "metaphoricalsheep-ferumind"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/metaphoricalsheep-ferumind` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/metaphoricalsheep-ferumind/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