# Mnemosyne-Neural-OS

> Mnemosyne-Neural-OS — mnemosyne-os-mnemosyne-neural-os. Use this tool when you need to organize and manage AI memory, making files and conversations searchable and accessible to connected models. It solves problems of data fragmentation and model knowledge gaps by providing a centralized control room for AI memory management. With Mnemosyne-Neural-OS, you can input and output data through a git interface, and use it to streamline AI model training and deployment across Windows, macOS, and Linux systems.

Canonical page: https://skillsregistry.net/skills/mnemosyne-os-mnemosyne-neural-os  
JSON: https://api.skillsregistry.net/v1/skills/mnemosyne-os-mnemosyne-neural-os

## Description

A control room for AI memory. Your files and conversations become searchable memory any model you connect can draw on, and you decide what enters, what moves and what leaves. Vaults live on your hardware. Windows, macOS, Linux.

## Trust

- **Trust score (0–1):** 0.41
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Mnemosyne-OS/Mnemosyne-Neural-OS)

## 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": "mnemosyne-os-mnemosyne-neural-os"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mnemosyne-os-mnemosyne-neural-os` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mnemosyne-os-mnemosyne-neural-os/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