# MindOS

> Use this tool when you need to manage a local, private knowledge base that integrates with AI agents, allowing them to read and write data through various tools without relying on cloud storage. It solves problems related to data privacy and security by keeping all files on your local machine. Ideal for use cases where zero cloud dependency is required, providing a secure and private environment for AI agents to interact with your personal knowledge base.

Canonical page: https://skillsregistry.net/skills/geminilight-mindos  
JSON: https://api.skillsregistry.net/v1/skills/geminilight-mindos

## Description

Local-first knowledge base MCP server. Lets AI agents (Claude Code, Cursor, etc.) read and write your personal knowledge base through 20 MCP tools. Zero cloud dependency — all files stay on your machine.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fqjsu46rnj)
- **Repository:** <https://github.com/GeminiLight/MindOS>

## 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": "geminilight-mindos"
    }
  }
}
```

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