This directory contains packaging templates and installation scripts to deploy the Multi-Agent Mux framework into workspaces hosted on Gitea (or GitHub).

📁 Deployment Directory Structure

install.sh: A self-contained, idempotent shell installer that checks system requirements (tmux, python3, pip3), detects NFS/network filesystem mounts, sets up a local python virtual environment (.venv), and initializes environment configuration (.env).
plugin.json: Metadata declaration file to register MAM as an installable plugin for AI Agent coding platforms (such as Claude Code, Antigravity, or other TUI clients).
gitea-ci.yml: CI/CD pipeline definition template for Gitea Actions (running ShellCheck linting on bash scripts, validation on python scripts, and compilation tests).

📦 How to Install and Deploy

1. Simple One-Liner Installation (from Gitea repository)

Once you push this repository to your Gitea instance, users can install it in their local workspace directory by running:

curl -fsSL https://git.godopu.com/tmpl/multi-agent-mux/raw/branch/main/deploy/install.sh | bash

Alternatively, if they have cloned the repository, they can execute:

bash deploy/install.sh

2. Registering as a Workspace Plugin

To register these skills globally or for a specific workspace:

Workspace Level: Copy the .agents/ folder into your project root.
Global Level (Gemini/Antigravity): Register the plugin path in your global config file at ~/.gemini/config/skills.json:
```
{
  "entries": [
    { "path": "/absolute/path/to/multi-agent-mux/.agents/skills" }
  ]
}
```

🤖 Gitea Actions CI/CD Setup

To automate testing and script linting on your Gitea repository:

Ensure Gitea Actions is enabled on your Gitea instance.

Copy the Gitea CI workflow to your workspace's workflow folder:

mkdir -p .gitea/workflows
cp deploy/gitea-ci.yml .gitea/workflows/ci.yml

Commit and push to your Gitea repository. The pipeline will validate shell syntax and python file compilation on every push to main and pull requests.