# mex

> mex — mex-memory-mex. Use this tool when you need to collaborate with team members and AI agents on engineering projects, storing and sharing knowledge directly in your repository through Git. It solves problems of information silos and knowledge fragmentation, providing a shared memory for teams. The mex tool takes in repository data as input and outputs a unified team knowledge base, accessible through Git.

Canonical page: https://skillsregistry.net/skills/mex-memory-mex  
JSON: https://api.skillsregistry.net/v1/skills/mex-memory-mex

## Description

Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## 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/mex-memory/mex)

## 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": "mex-memory-mex"
    }
  }
}
```

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