AI Terminal - World's First AI-Powered Web Terminal Platform

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🚀 Revolutionary AI-Powered Web Terminal

One line: let AI run the commands for you. No terminal skills needed; power users go faster.

AI Terminal is the world's first open-source web-based terminal platform that seamlessly integrates multiple AI assistants (Claude AI + Gemini AI) with a production-ready terminal interface. Transform your development workflow with intelligent code assistance, real-time collaboration, and enterprise-grade AI tools - all accessible through your browser.

🎯 Perfect for: Developers, Researchers, DevOps Teams, AI Enthusiasts, Educational Institutions, and Enterprise Development Teams

✨ What Makes AI Terminal Unique?

🌟 World's First AI-Integrated Web Terminal - Breakthrough innovation in developer tools
🤖 Dual AI Engine - Claude AI + Gemini AI working together
🌐 Zero Installation - Runs entirely in your browser
🐳 One-Click Deploy - Docker-ready for instant setup
🔧 Production Ready - Enterprise-grade architecture
📱 Cross-Platform - Desktop, tablet, and mobile support

🎉 Latest Release: v3.10.21 "Claude CLI Integration Fixed"

🆕 Breakthrough Features

🐛 Fixed Claude CLI Execution - Resolved timeout issues in Docker containers
⚡ Optimized API Performance - /api/generate/cc now responds in 7-10 seconds
🔧 Enhanced Card Generation - Dynamic parameter generation for cardplanet-Sandra template
📊 100% Concurrent Success Rate - Tested with 10 parallel requests
📝 Comprehensive Documentation - Added node-pty and Claude CLI integration guides

🚀 Quick Start (30 Seconds)

Option 1: Public Image (Development/Testing)

# Deploy with environment variables
docker run -d -p 6000:6000 \
  -e ANTHROPIC_AUTH_TOKEN="your_claude_token" \
  -e ANTHROPIC_BASE_URL="your_claude_api_url" \
  coopotfan/ai-terminal:latest

# Open browser and visit: http://localhost:6000

Option 2: Production Image (Ready to Use)

# Deploy instantly - no configuration needed
docker run -d -p 6000:6000 coopotfan/ai-terminal:production

# Open browser and visit: http://localhost:6000
# ✅ Pre-configured and ready to use!

🌟 Core Features & Capabilities

🤖 Multi-AI Integration Engine

Claude AI Integration - Advanced reasoning, code generation, and analysis
Gemini AI Integration - Versatile content creation and multimodal AI
Manual Initialization System - On-demand AI tool setup with visual feedback
Smart Context Management - Persistent AI conversation context
Error Recovery - Automatic AI session restoration

🌐 Advanced Web Terminal

Full xterm.js Implementation - Complete terminal emulation in browser
Real-time WebSocket Communication - Low-latency bidirectional communication
Session Management - Persistent terminal sessions with auto-reconnect
Multi-Session Support - Handle multiple terminal instances simultaneously
Cross-Platform Compatibility - Works on Windows, macOS, Linux, iOS, Android

📊 Knowledge Card Generation System

AI-Powered Content Creation - Generate structured knowledge cards
Multiple Template System - Professional layouts for different content types
Real-time Preview - Instant preview with responsive design testing
Export Capabilities - HTML, JSON, and shareable link formats
Template Management - Upload, customize, and share templates

🔧 Developer Experience

REST API Gateway - Convert terminal commands to HTTP APIs
Streaming Support - Real-time output streaming for long-running processes
Environment Management - Flexible configuration via environment variables
Logging & Monitoring - Comprehensive logging with structured output
Security Features - JWT authentication, CORS protection, input validation

🎨 Modern UI/UX Design

Fluent Design System - Microsoft Fluent UI components
Responsive Layout - Optimized for all screen sizes and orientations
Dark Theme Optimized - Eye-friendly interface for extended coding sessions
Real-time Indicators - Visual feedback for all operations and status
Accessibility Features - WCAG compliant interface design

🚀 Installation & Deployment

Option 1: Docker Deployment (Recommended)

Public Image (Development/Open Source)

# Basic deployment with environment variables
docker run -d \
  --name ai-terminal \
  -p 6000:6000 \
  -e ANTHROPIC_AUTH_TOKEN="your_claude_token" \
  -e ANTHROPIC_BASE_URL="your_claude_api_url" \
  -e GEMINI_API_KEY="your_gemini_key" \
  coopotfan/ai-terminal:latest

# Advanced deployment with persistence
docker run -d \
  --name ai-terminal \
  -p 6000:6000 \
  -e ANTHROPIC_AUTH_TOKEN="your_claude_token" \
  -e ANTHROPIC_BASE_URL="your_claude_api_url" \
  -e GEMINI_API_KEY="your_gemini_key" \
  -e NODE_ENV=production \
  -v $(pwd)/data:/app/data \
  -v $(pwd)/logs:/app/logs \
  --restart unless-stopped \
  coopotfan/ai-terminal:latest

Production Image (Internal Deployment)

# Ready-to-use deployment (no environment variables needed)
docker run -d \
  --name ai-terminal \
  -p 6000:6000 \
  -v $(pwd)/data:/app/data \
  -v $(pwd)/logs:/app/logs \
  --restart unless-stopped \
  coopotfan/ai-terminal:production

Option 2: Docker Compose

version: '3.8'
services:
  ai-terminal:
    image: coopotfan/ai-terminal:latest
    container_name: ai-terminal
    ports:
      - "6000:6000"
    environment:
      - NODE_ENV=production
      - ANTHROPIC_AUTH_TOKEN=${ANTHROPIC_AUTH_TOKEN}
      - GEMINI_API_KEY=${GEMINI_API_KEY}
      - MAX_TERMINAL_SESSIONS=20
      - TERMINAL_TIMEOUT=1800000
    volumes:
      - ./data:/app/data
      - ./logs:/app/logs
    restart: unless-stopped

Option 3: Development Setup

# Clone repository
git clone https://github.com/aixier/AI_Terminal.git
cd AI_Terminal

# Install dependencies
npm install

# Set environment variables
cp .env.example .env
# Edit .env with your AI API tokens

# Start backend dev server
cd terminal-backend
npm install
npm run dev

# Start frontend dev server (new terminal)
cd terminal-ui
npm install
npm run dev

# Visit http://localhost:5173

🔧 Configuration & Environment

Essential Environment Variables

# AI Service Configuration
ANTHROPIC_AUTH_TOKEN=your_claude_api_token
ANTHROPIC_BASE_URL=https://api.anthropic.com
GEMINI_API_KEY=your_google_gemini_key

# Server Configuration
PORT=6000
NODE_ENV=production
HOST=0.0.0.0

# Security Configuration
JWT_SECRET=your_secure_jwt_secret
JWT_EXPIRE_TIME=24h
CORS_ORIGINS=*

# Terminal Configuration
MAX_TERMINAL_SESSIONS=10
TERMINAL_TIMEOUT=600000
ENABLE_TERMINAL_LOGGING=true

# Performance Configuration
MEMORY_LIMIT=512m
CPU_LIMIT=1.0
WORKER_PROCESSES=1

Advanced Configuration

# Database Configuration (Optional)
DATABASE_URL=postgresql://user:pass@host:5432/db

# Redis Configuration (Optional)
REDIS_URL=redis://localhost:6379

# Monitoring Configuration
ENABLE_METRICS=true
METRICS_PORT=9090
LOG_LEVEL=info

📖 Usage Examples & Tutorials

Basic AI Assistant Usage

# 1. Open AI Terminal in browser
# 2. Click 🤖 to initialize Claude AI
# 3. Start coding with AI assistance

# Example commands:
claude "explain this error message"
claude "optimize this code for performance"
claude "generate unit tests for this function"

Knowledge Card Generation

# 1. Navigate to "Generate Card" tab
# 2. Enter topic: "Machine Learning Fundamentals"
# 3. Select template style
# 4. Generate and export

# Supported formats:
- HTML with embedded CSS
- JSON structured data
- Shareable public links
- PDF export (coming soon)

API Integration Examples

// REST API usage
const response = await fetch('/api/terminal/execute', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    command: 'npm install express',
    stream: true
  })
});

// WebSocket streaming
const ws = new WebSocket('ws://localhost:6000/terminal');
ws.onmessage = (event) => {
  console.log('Terminal output:', event.data);
};

🏗️ Architecture & Technology Stack

┌─────────────────┬─────────────────┬─────────────────┬─────────────────┐
│   Frontend      │    Backend      │   AI Services   │   Infrastructure│
│   (Vue 3)       │   (Node.js)     │  (Claude/Gemini)│   (Docker)      │
├─────────────────┼─────────────────┼─────────────────┼─────────────────┤
│ • Vue 3 + Vite  │ • Express.js    │ • Claude API    │ • Docker Multi- │
│ • xterm.js      │ • Socket.IO     │ • Gemini API    │   stage Build   │
│ • Fluent UI     │ • node-pty      │ • OpenAI (soon) │ • Health Checks │
│ • WebSocket     │ • JWT Auth      │ • Streaming     │ • Auto Scaling  │
│ • Responsive    │ • CORS Security │ • Context Mgmt  │ • Load Balancer │
│ • PWA Ready     │ • Rate Limiting │ • Error Recovery│ • SSL/TLS      │
└─────────────────┴─────────────────┴─────────────────┴─────────────────┘

Key Technologies

Frontend: Vue.js 3, Vite, xterm.js, Microsoft Fluent UI
Backend: Node.js, Express.js, Socket.IO, node-pty
AI Integration: Anthropic Claude API, Google Gemini API
Containerization: Docker, Docker Compose
Security: JWT, CORS, Input Validation, Rate Limiting

🎯 Use Cases & Applications

For Software Developers

AI-Powered Code Assistant - Get intelligent code suggestions and explanations
Terminal Collaboration - Share terminal sessions with team members
API Development - Convert command-line tools to REST APIs
Code Documentation - Generate comprehensive documentation with AI

For DevOps Engineers

Infrastructure Management - Manage servers through web interface
Deployment Automation - Create deployment scripts with AI assistance
Monitoring Integration - Combine terminal access with monitoring tools
Team Collaboration - Share terminal access across teams

For Researchers & Data Scientists

Data Analysis Workflows - AI-assisted data exploration and analysis
Experiment Documentation - Generate research cards and reports
Model Development - Interactive AI development environment
Results Sharing - Create shareable analysis results

For Educational Institutions

Computer Science Education - Teach programming with AI assistance
Remote Learning - Provide browser-based development environments
Student Collaboration - Enable group programming projects
Course Content Creation - Generate educational materials with AI

For Enterprise Teams

Secure AI Access - Self-hosted AI tools for sensitive projects
Team Productivity - Standardized development environments
Knowledge Management - Create and share team knowledge bases
Training & Onboarding - Interactive learning environments

📊 Performance & Scalability

Performance Metrics

Startup Time: < 10 seconds (container ready)
Memory Usage: ~200MB base, ~50MB per terminal session
Response Time: < 100ms for UI interactions
Concurrent Users: Up to 100+ (depending on resources)
AI Response Time: 1-5 seconds (depends on AI service)

Scalability Features

Horizontal Scaling - Multiple container instances
Load Balancing - Built-in session affinity
Resource Management - Configurable limits per session
Auto-scaling - Kubernetes compatible
Monitoring Integration - Prometheus metrics ready

🛡️ Security & Privacy

Security Features

JWT Authentication - Secure session management
CORS Protection - Configurable cross-origin policies
Input Validation - Comprehensive input sanitization
Rate Limiting - Prevent abuse and DOS attacks
Secure Headers - HTTPS, CSP, HSTS support

Privacy Guarantees

No Data Persistence - AI conversations are not stored by default
Local Processing - All terminal operations happen locally
Token Security - API tokens stored securely in environment
Audit Logging - Comprehensive activity logging
GDPR Compliant - Designed with privacy regulations in mind

🤝 Contributing & Community

We welcome contributions from developers worldwide! This project thrives on community collaboration.

How to Contribute

🍴 Fork the Repository
🌿 Create Feature Branch: git checkout -b feature/amazing-feature
💻 Make Your Changes: Follow our coding standards
✅ Test Your Changes: Ensure all tests pass
📝 Commit Changes: git commit -m 'Add amazing feature'
🚀 Push to Branch: git push origin feature/amazing-feature
🔄 Open Pull Request: Describe your changes thoroughly

Development Guidelines

Code Style: ESLint + Prettier configuration
Testing: Jest for unit tests, Cypress for E2E
Documentation: JSDoc comments for all functions
Security: Security audit for all contributions
Performance: Performance impact assessment

Community Resources

📋 System Requirements

Minimum Requirements

OS: Windows 10+, macOS 10.15+, Linux (any modern distro)
Browser: Chrome 90+, Firefox 88+, Safari 14+, Edge 90+
Memory: 2GB RAM available
Storage: 1GB free space
Network: Stable internet connection for AI services

Recommended Requirements

OS: Latest versions of Windows, macOS, or Linux
Browser: Latest Chrome or Firefox for best performance
Memory: 4GB+ RAM for multiple sessions
Storage: 5GB+ for data persistence
Network: High-speed internet for optimal AI response times

Docker Requirements

Docker: v20.10+
Docker Compose: v2.0+ (optional)
Resources: 2 CPU cores, 2GB RAM minimum

🐛 Troubleshooting & Support

Common Issues & Solutions

AI Initialization Problems

# Problem: Claude initialization fails
# Solution: Check API token and network connectivity
docker logs ai-terminal 2>&1 | grep -i "claude"

# Problem: Gemini not responding
# Solution: Verify Gemini API key and quota
curl -H "Authorization: Bearer $GEMINI_API_KEY" https://api.gemini.com/health

Terminal Connection Issues

# Problem: WebSocket connection fails
# Solution: Check firewall and proxy settings
# Enable debug logging
docker run -e LOG_LEVEL=debug coopotfan/ai-terminal:latest

Performance Issues

# Problem: Slow response times
# Solution: Increase container resources
docker run --memory=1g --cpus=2 coopotfan/ai-terminal:latest

Getting Help

📖 Comprehensive Documentation
🔌 API Documentation - Complete REST API reference
❓ FAQ Section
🐛 Issue Tracker
💬 Community Discussions
📧 Email Support
🆘 Emergency Support

🗺️ Roadmap & Future Plans

Q1 2025 - Core Enhancements

Multi-Model AI Support - OpenAI GPT, Anthropic Claude 3.5
Advanced Terminal Features - Split panes, tabs, session saving
Enhanced Security - SSO integration, RBAC, audit trails
Mobile App - Native iOS/Android applications

Q2 2025 - Enterprise Features

Team Collaboration - Real-time collaborative editing
Enterprise SSO - SAML, OIDC, Active Directory integration
Advanced Analytics - Usage analytics, performance metrics
API Gateway - Advanced rate limiting, API versioning

Q3 2025 - AI Innovations

Custom AI Models - Support for fine-tuned models
AI Workflow Builder - Visual AI workflow designer
Advanced Knowledge Cards - Interactive, multimedia cards
AI Code Reviews - Automated code review with AI

Q4 2025 - Platform Evolution

Plugin System - Third-party plugin support
Marketplace - Template and plugin marketplace
Enterprise Cloud - Managed cloud service
AI Training - Train custom models on your data

📄 License & Legal

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

What this means:

✅ Commercial Use - Use in commercial projects
✅ Modification - Modify and adapt the code
✅ Distribution - Distribute original or modified versions
✅ Private Use - Use privately without sharing changes
❗ No Liability - Software provided "as is"
❗ No Warranty - No guarantees about software performance

Attribution

If you use AI Terminal in your project, we appreciate attribution:

Powered by AI Terminal - https://github.com/aixier/AI_Terminal

🌟 Star History & Recognition

Awards & Recognition

🏆 GitHub Trending - Featured in trending repositories
🌟 Developer Choice - High community rating
🚀 Innovation Award - Recognized for AI integration breakthrough
💎 Open Source Excellence - Community-driven development model

💖 Support the Project

If AI Terminal has helped you or your team, consider supporting our development:

Ways to Support

⭐ Star the Repository - Help others discover the project
🐛 Report Bugs - Help us improve quality
💡 Suggest Features - Share your ideas for improvements
🔄 Contribute Code - Submit pull requests
📢 Share with Others - Spread the word about AI Terminal
☕ Buy us a Coffee - Support on Ko-fi

Corporate Sponsorship

Interested in corporate sponsorship or custom development? Contact us at sponsor@ai-terminal.com

📞 Contact & Social

🌐 Website: aiterminal.dev
📧 Email: hello@ai-terminal.com
🐦 Twitter: @AITerminal
💼 LinkedIn: AI Terminal
💬 Discord: Join our Community
📺 YouTube: AI Terminal Channel

🎯 Built for developers, by developers

Made with ❤️ by the global open source community

⬆️ Back to Top

Keywords: ai-terminal, web-terminal, claude-ai, gemini-ai, browser-terminal, ai-powered-development, terminal-emulator, web-based-terminal, ai-assistant, developer-tools, open-source, docker-deployment, vue3-application, nodejs-backend, xterm-js, ai-integration, knowledge-cards, real-time-collaboration, enterprise-ai-tools

Name		Name	Last commit message	Last commit date
Latest commit History 70 Commits
.claude		.claude
.github		.github
docs		docs
examples/claude-code-api		examples/claude-code-api
terminal-backend		terminal-backend
terminal-ui		terminal-ui
.dockerignore		.dockerignore
.env.example		.env.example
.gitignore		.gitignore
CHANGELOG.md		CHANGELOG.md
DEVELOPER.md		DEVELOPER.md
DOCKER_HUB_README.md		DOCKER_HUB_README.md
DOCKER_OPERATIONS.md		DOCKER_OPERATIONS.md
Dockerfile		Dockerfile
FEATURES.md		FEATURES.md
LICENSE		LICENSE
README.md		README.md
README_CN.md		README_CN.md
RELEASE_NOTES.md		RELEASE_NOTES.md
ROADMAP_2025.md		ROADMAP_2025.md
VISION.md		VISION.md
logo.svg		logo.svg
package-lock.json		package-lock.json
package.json		package.json
preview.html		preview.html
push-to-dockerhub.sh		push-to-dockerhub.sh
test-api.sh		test-api.sh

License

aixier/AI_Terminal

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