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codex-linux

v1.0.4

Published

A Linux port of OpenAI Codex - Multi-agent AI coding command center

Readme

Codex Linux

A Linux port of OpenAI Codex - A powerful command center for managing multiple AI coding agents in parallel.

Features

  • Multi-Agent Orchestration: Manage multiple AI agents working in parallel on different tasks
  • Git Worktrees: Isolate agent changes in separate worktrees for safe experimentation
  • Skills System: Create and apply reusable skills to customize agent behavior
  • Automation: Schedule recurring tasks and create automated workflows
  • Multi-Provider Support: Works with OpenAI (GPT-4, GPT-5, Codex) and Anthropic (Claude) models
  • Change Review: Review, approve, or reject agent code changes before applying
  • Linux Native: Built specifically for Linux with AppImage, deb, and rpm packages

Installation

Quick Install (Recommended)

curl -fsSL https://raw.githubusercontent.com/ranker-002/codex-linux/master/scripts/install.sh | bash

This will install Codex Linux to ~/.local/bin and add it to your PATH.

Via npm

npm install -g codex-linux

System-wide Install

curl -fsSL https://raw.githubusercontent.com/ranker-002/codex-linux/master/scripts/install.sh | sudo bash -s -- --system

Download AppImage

Download the latest AppImage from GitHub Releases:

# Download
wget https://github.com/ranker-002/codex-linux/releases/latest/download/Codex.Linux-1.0.1.AppImage

# Make executable
chmod +x Codex.Linux-1.0.1.AppImage

# Run
./Codex.Linux-1.0.1.AppImage

From Source

# Clone the repository
git clone https://github.com/ranker-002/codex-linux.git
cd codex-linux

# Install dependencies
pnpm install

# Build the application
npm run build

# Run in development mode
npm run dev

# Package for Linux
npm run package:linux

Quick Start

  1. Launch Codex Linux - Run the application from your applications menu or terminal:

    codex-linux
  2. Configure AI Provider:

    • Go to Settings → AI Providers
    • Add your OpenAI or Anthropic API key
    • Test the connection
  3. Create Your First Agent:

    • Click "+ New Agent"
    • Select a project folder
    • Choose a provider and model
    • Optionally apply skills
  4. Start Coding:

    • Send messages to your agent
    • Assign tasks for parallel execution
    • Review changes in worktrees

Configuration

Environment Variables

# Optional: Set default API keys
export OPENAI_API_KEY="your-key-here"
export ANTHROPIC_API_KEY="your-key-here"

Settings File

Settings are stored in ~/.config/codex/config.json:

{
  "theme": "dark",
  "defaultProvider": "openai",
  "defaultModel": "gpt-4o",
  "maxParallelAgents": 5,
  "shortcuts": {
    "agent:new": "Ctrl+Shift+N",
    "agent:send": "Ctrl+Enter"
  }
}

Skills

Skills are reusable instructions that customize agent behavior:

  1. Create skills in the Skills panel
  2. Write instructions in markdown
  3. Apply skills to agents when creating or editing

Example Skill Structure

~/.config/codex/skills/my-skill/
├── skill.yaml          # Skill metadata
├── instructions.md     # Core instructions
└── templates/
    └── code-review.md  # Review template

Automations

Create automated workflows:

  • Schedule: Run on cron schedule (e.g., daily code review)
  • Event: Trigger on git events or file changes
  • Webhook: Trigger via HTTP requests
  • Manual: Run on demand

Worktrees

Git worktrees provide isolated environments for each agent:

  • Changes are isolated from main branch
  • Easy to review and merge
  • Automatic cleanup on agent deletion
  • Visual diff and merge tools

Keyboard Shortcuts

| Action | Shortcut | |--------|----------| | New Agent | Ctrl+Shift+N | | Send Message | Ctrl+Enter | | New Worktree | Ctrl+Shift+W | | Open Skills | Ctrl+Shift+S | | Open Automations | Ctrl+Shift+A | | Open Settings | Ctrl+, | | Command Palette | Ctrl+Shift+P |

Architecture

codex-linux/
├── src/
│   ├── main/              # Electron main process
│   │   ├── agents/        # Agent orchestration
│   │   ├── git/           # Git worktree management
│   │   ├── skills/        # Skills system
│   │   ├── automations/   # Automation scheduler
│   │   └── providers/     # AI provider integrations
│   ├── renderer/          # React frontend
│   │   └── components/    # UI components
│   └── shared/            # Shared types
├── assets/                # Icons and images
└── tests/                 # Test suites

Development

Prerequisites

  • Node.js 18+
  • pnpm (recommended) or npm
  • Git

Running Tests

npm test

Linting

npm run lint
npm run lint:fix

Type Checking

npm run typecheck

Uninstall

codex-linux --uninstall
# or
~/.local/bin/uninstall-codex-linux.sh

Contributing

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

MIT License - see LICENSE file for details.

Acknowledgments

  • Inspired by OpenAI Codex
  • Built with Electron, React, and TypeScript
  • Uses Simple Git for git operations
  • Icons by Lucide

Support