# Memex

> Memex — arnavbee-memex. Use this tool when you need to privately index and organize your personal digital activity, such as screenshots, notes, and downloads, to provide context to local AI models like Claude without relying on cloud storage. Memex solves the problem of securely and locally storing personal data, making it accessible to AI agents while maintaining user privacy. It accepts various digital inputs and outputs a locally-stored database, ideal for use cases where data privacy and security are paramount.

Canonical page: https://skillsregistry.net/skills/arnavbee-memex  
JSON: https://api.skillsregistry.net/v1/skills/arnavbee-memex

## Description

A local-first, privacy-first MCP server that passively indexes personal digital activity (screenshots, clipboard, notes, downloads, links) into a local database, enabling LLMs like Claude to access your context without cloud storage.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y2kqssn0dc)
- **Repository:** <https://github.com/arnavbee/memex>

## 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": "arnavbee-memex"
    }
  }
}
```

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