AI Agent Team - Autonomous Development Platform

🤖 Advanced Multi-Agent AI System for Autonomous Business Development

An enterprise-grade platform that leverages specialized AI agents to autonomously develop, test, and deploy complete web applications from business ideas to production-ready solutions.

🌟 Features

🧠 Advanced AI Capabilities

• Vector Memory System: Semantic knowledge storage with 384-dimensional embeddings
• Cross-Agent Learning: Knowledge transfer between specialized agents
• Real-time Collaboration: Live communication bus with WebSocket support
• Code Execution: Sandboxed environment with security policies
• Automated Testing: Comprehensive QA with performance monitoring

🔒 Enterprise Security

• JWT Authentication: Secure token-based authentication system
• Role-Based Access: Admin and user role management
• Session Management: Automatic session cleanup and token refresh
• Secure Communication: WebSocket authentication and authorization
• Password Security: bcrypt hashing with salt rounds

🤖 Specialized AI Agents

• Executive Agent: Business strategy, risk assessment, project coordination
• Engineer Agent: Full-stack development, technical architecture, code generation
• Designer Agent: UI/UX design, branding, accessibility compliance
• Legal Agent: GDPR compliance, age verification, content moderation
• Marketing Agent: SEO strategy, content marketing, growth analytics
• DevOps Agent: CI/CD pipelines, infrastructure, monitoring, security
• Testing Agent: Automated QA, performance testing, quality gates

🚀 Demo Capabilities

• Autonomous business idea to application pipeline
• Real-time agent activity monitoring with WebSocket
• Live knowledge sharing visualization
• System performance metrics
• 7-phase development workflow automation
• Secure user authentication and session management

🛠️ Technology Stack

• Frontend: Next.js 15, React, TypeScript, Tailwind CSS
• UI Components: shadcn/ui with custom theming
• Authentication: JWT with refresh tokens, bcrypt password hashing
• Database: SQLite with better-sqlite3
• Real-time: WebSocket server with client management
• Package Manager: Bun
• Deployment: Vercel with custom domain support

🚀 Quick Start

Prerequisites

• Node.js 18+ or Bun
• Git

Installation

1. Clone the repository

   git clone https://github.com/yourusername/ai-agent-team.git
   cd ai-agent-team

2. Install dependencies

   bun install

3. Set up environment variables

   cp .env.example .env.local

   Configure the following variables:

   JWT_SECRET=your-jwt-secret-key
   REFRESH_SECRET=your-refresh-secret-key
   ADMIN_PASSWORD=secure-admin-2024
   WS_PORT=8080

4. Start the development server

   bun run dev

5. Visit the application Open http://localhost:3000 in your browser

Default Login

• Username: admin
• Password: admin123 (for local development) or secure-admin-2024 (for production)

📖 Usage

Authentication

The platform includes a comprehensive authentication system with secure login/logout functionality. Users are automatically redirected to the login page if not authenticated.

Agent Dashboard

Access the main dashboard to monitor all AI agents, view system statistics, and manage active tasks and projects.

Autonomous Demo

Try the autonomous business development demo at /demo to experience the full AI agent workflow:

1. Enter a business idea
2. Watch AI agents collaborate in real-time
3. Monitor progress through 7 development phases
4. View the generated application

WebSocket Integration

Real-time communication is available through WebSocket connections at ws://localhost:8080/ws/agents with authentication and subscription-based event handling.

🏗️ Architecture

Agent System

AgentManager
├── ExecutiveAgent (Strategy & Coordination)
├── EngineerAgent (Development & Architecture)
├── DesignerAgent (UI/UX & Branding)
├── LegalAgent (Compliance & Regulations)
├── MarketingAgent (SEO & Growth)
├── DevOpsAgent (Infrastructure & Deployment)
└── TestingAgent (QA & Performance)

Communication Flow

WebSocket Server ↔ RealTimeBus ↔ Agent Manager ↔ Individual Agents
                                      ↓
                              Vector Memory System
                                      ↓
                             Code Execution Environment

🔧 Configuration

Environment Variables

• JWT_SECRET: Secret key for JWT token signing
• REFRESH_SECRET: Secret key for refresh token signing
• ADMIN_PASSWORD: Default admin password (change in production)
• WS_PORT: WebSocket server port (default: 8080)
• NODE_ENV: Environment mode (development/production)

Database

The platform uses SQLite for data persistence with automatic table creation and migration support.

🚀 Deployment

Vercel Deployment

1. Connect your GitHub repository to Vercel
2. Configure environment variables in Vercel dashboard
3. Deploy with automatic deployments on push

Custom Domain

1. Add your domain in Vercel dashboard
2. Configure DNS settings
3. SSL certificates are automatically managed

🧪 Testing

Run the test suite:

bun test

Run linting:

bun run lint

📄 API Documentation

Authentication Endpoints

• POST /api/auth/login - User login
• POST /api/auth/logout - User logout
• POST /api/auth/refresh - Token refresh
• GET /api/auth/me - Get current user

Agent Endpoints

• GET /api/agents - List all agents
• POST /api/agents/{id}/tasks - Create agent task
• GET /api/agents/{id}/status - Get agent status

🤝 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

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

🆘 Support

For support and questions:

• Create an issue in this repository

🙏 Acknowledgments

• Powered by Next.js and React
• UI components from shadcn/ui
• Real-time capabilities with WebSocket

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🎉 Ready for autonomous business development with advanced AI capabilities!