super-terminal-tui 0.1.0

A TUI application for managing multiple AI agents with isolated workspaces

Super Terminal 🚀

A powerful TUI (Terminal User Interface) application for managing multiple AI agents with isolated workspaces. Command and control multiple terminal-based AI agents simultaneously, each working in their own sandboxed environment.

✨ Features

🤖 Multi-Agent Management

• Run multiple AI agents simultaneously - Claude, GPT-4, local models, or any CLI tool
• Quick agent switching - Press F5/F6 to navigate between agents
• Real-time monitoring - See what each agent is doing at a glance
• Attention alerts - Get notified when agents need input

🔒 Isolated Workspaces

• Complete isolation - Each agent gets its own copy of your workspace
• No conflicts - Agents can't interfere with each other's work
• Safe testing - Experiment freely without breaking your main code
• Smart sync - Review and merge agent changes with F7

📁 File Monitoring

• Real-time file tracking - See which files agents are modifying
• Conflict detection - Get alerts when multiple agents touch the same files
• Change history - Full audit trail of all modifications

📝 Comprehensive Logging

• Session logs - Every session logged to super-terminal-logs/
• Per-agent logs - Separate log file for each agent
• Input/output tracking - All terminal I/O captured with timestamps
• Isolated workspace logs - Track which workspace each agent used

🎨 Beautiful TUI

• Modern interface - Built with Textual framework
• Keyboard shortcuts - Efficient navigation with function keys
• Responsive design - Works great on any terminal size
• Rich formatting - Syntax highlighting and colors

📦 Installation

From PyPI (Recommended)

pip install super-terminal

From Source

git clone https://github.com/yourusername/super-terminal.git
cd super-terminal
pip install -e .

🚀 Quick Start

1. Launch Super Terminal

   super-terminal
   

2. Add your first agent (F1)

   • Name: Claude
   • Command: claude

3. Start interacting!

   • Type commands directly in the terminal
   • Switch between agents with F5/F6
   • Monitor file changes in the sidebar

⌨️ Keyboard Shortcuts

Key	Action
F1	Add new agent
F2	Change workspace directory
F3	Close current agent
F4	Quit application
F5	Previous agent
F6	Next agent
F7	Sync agent changes to main workspace
PageUp/Down	Scroll terminal output

🎯 Use Cases

Multi-Agent Development

# Terminal 1: Claude working on backend
# Terminal 2: GPT-4 writing tests
# Terminal 3: Local model doing documentation

Safe Experimentation

• Test risky changes in isolated environments
• Each agent has a complete copy of your code
• Merge only the changes you want

Parallel Tasks

• Run multiple agents on different features
• No conflicts, no waiting
• Review and merge at your pace

📂 Project Structure

workspace/
├── .super-terminal-agents/     # Isolated workspaces
│   ├── claude_20250124_143052/
│   └── gpt4_20250124_143105/
├── super-terminal-logs/         # Session logs
│   ├── session.json
│   ├── claude_20250124_143052.log
│   └── gpt4_20250124_143105.log
└── your-project-files/

🔧 Configuration

Workspace Setup

• Press F2 to select a project directory
• Super Terminal will monitor all changes
• Create new directories on-the-fly

Agent Configuration

Each agent needs:

• Name: Identifier for the agent
• Command: CLI command to run (e.g., claude, aider, python)

🛠️ Advanced Features

Workspace Isolation

Each agent gets a complete copy of your workspace with smart exclusions:

• .git - No Git operations in isolated workspaces
• node_modules, venv - Dependencies not copied
• __pycache__ - Cache directories excluded

Change Detection

• Modified files: Detected by timestamp and size
• New files: Automatically identified
• Sync preview: See exactly what will be copied

File Conflict Detection

When multiple agents modify the same file:

• Visual alerts in the file monitor
• Agent highlighting in sidebar
• Detailed conflict information

📊 Logging

All activities are logged automatically:

Session Log (session.json)

{
  "session_start": "2025-01-24T14:30:52",
  "workspace": "/path/to/project",
  "agents": ["claude", "gpt4"]
}

Agent Logs (agent_timestamp.log)

=== Agent: Claude ===
=== Started: 2025-01-24T14:30:52 ===
=== Workspace: /path/to/project ===
Command: claude
Isolated Workspace: .super-terminal-agents/claude_20250124_143052

[terminal output...]

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Built with Textual
• Terminal emulation by pyte
• File monitoring by watchdog

🐛 Bug Reports

Found a bug? Please open an issue with:

• Description of the problem
• Steps to reproduce
• Expected vs actual behavior
• Your environment (OS, Python version)

💬 Support

• 📧 Email: [e-mail]
• 💬 Issues: GitHub Issues
• 📖 Documentation: GitHub Wiki

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Made with ❤️ by Kuldeep Paul