HelixCode - Distributed AI Development Platform

Version: 1.0.0
Package: dev.helix.code
License: MIT

HelixCode is an enterprise-grade distributed AI development platform that enables intelligent task division, work preservation, and cross-platform development workflows. Built with Go and designed for scalability, HelixCode provides a robust foundation for distributed computing with automatic checkpointing, rollback functionality, and real-time monitoring.

🚀 Key Features

✅ Phase 1: Foundation (Completed)

• Database Schema: Complete PostgreSQL schema with 11 tables for distributed computing
• Authentication System: JWT-based auth with session management
• Worker Management: Distributed worker registration and health monitoring
• Task Management: Intelligent task division with work preservation
• Logo Integration: Automatic asset generation with color extraction
• REST API: Comprehensive HTTP API with Gin framework
• Configuration System: Flexible config with environment variables

✅ Phase 2: Core Services (Completed)

• Advanced Task Division: Intelligent task splitting with dependency management
• LLM Provider Integration: Multi-provider support (Llama.cpp, Ollama, OpenAI)
• Distributed Computing: Work preservation with automatic checkpointing
• MCP Protocol: Model Context Protocol implementation
• Advanced Reasoning: Chain-of-thought and tree-of-thoughts reasoning
• Multi-Channel Notifications: Slack, Discord, Email, Telegram integration

✅ Phase 4: LLM Integration (Completed)

• Hardware Detection: Comprehensive CPU/GPU/memory analysis
• Model Management: Intelligent model selection based on capabilities
• Provider Architecture: Unified interface for all LLM providers
• CLI Interface: Command-line interface with interactive mode

✅ Phase 3: Workflows (Completed)

• ✅ Project Management: Full project lifecycle with database persistence
• ✅ Development Workflows: Planning, building, testing, refactoring modes
• ✅ Session Management: Multi-session support with context tracking
• ✅ Workflow Execution: Automated workflow execution with dependencies

✅ Phase 4: LLM Integration (Completed)

• ✅ Hardware Detection: Comprehensive CPU/GPU/memory analysis
• ✅ Model Management: Intelligent model selection based on capabilities
• ✅ Provider Architecture: Unified interface for all LLM providers
• ✅ CLI Interface: Command-line interface with interactive mode

✅ Phase 5: Advanced Features (Completed)

• ✅ SSH Worker Pool: Distributed worker network with auto-installation
• ✅ Advanced LLM Tooling: Tool calling and reasoning API integration
• ✅ Multi-Client Support: REST API, CLI, Terminal UI, WebSocket
• ✅ MCP Integration: Full protocol support with multi-transport
• ✅ Cross-Platform: Linux, macOS, Windows, Aurora OS, SymphonyOS
• ✅ Mobile Ready: Framework for iOS and Android applications

🎉 Project Status: FULLY COMPLETE

All 5 implementation phases have been successfully completed! HelixCode is now a fully functional distributed AI development platform with enterprise-grade features including:

• Complete Distributed Computing: SSH-based worker networks with automatic management
• Advanced AI Integration: Multi-provider LLM support with tool calling and reasoning
• Comprehensive Workflows: Full development lifecycle automation (planning → building → testing → refactoring)
• Multi-Platform Support: Cross-platform compatibility with mobile frameworks ready
• Enterprise Features: Authentication, notifications, MCP protocol, and robust APIs

🏗️ Architecture

HelixCode Architecture
├── API Layer (REST + WebSocket + MCP)
├── Core Services
│   ├── Authentication & Session Management
│   ├── Worker Pool Management (SSH-based)
│   ├── Task Management & Checkpointing
│   ├── Project & Workflow Management
│   └── LLM Provider Integration
├── Database Layer (PostgreSQL + Redis)
├── Distributed Workers (Cross-platform)
└── Multi-Client Interfaces (CLI, TUI, REST, Mobile)

📦 Project Structure

HelixCode/
├── Specification/          # Technical specifications and requirements
├── Implementation_Guide/   # Implementation plans and guides
├── Design/                 # Design assets and specifications
├── HelixCode/              # Main Go implementation
│   ├── cmd/
│   │   ├── server/         # HTTP server application
│   │   └── cli/            # CLI client
│   ├── internal/
│   │   ├── auth/           # Authentication system
│   │   ├── config/         # Configuration management
│   │   ├── database/       # Database layer
│   │   ├── hardware/       # Hardware detection
│   │   ├── llm/            # LLM providers and reasoning
│   │   ├── logo/           # Logo processing & assets
│   │   ├── mcp/            # MCP protocol implementation
│   │   ├── notification/   # Multi-channel notifications
│   │   ├── project/        # Project management
│   │   ├── server/         # HTTP server & API
│   │   ├── session/        # Session management
│   │   ├── task/           # Task management & checkpoints
│   │   ├── worker/         # Worker pool management
│   │   └── workflow/       # Workflow execution
│   └── scripts/            # Build and utility scripts
├── Website/                # Marketing website
├── Assets/                 # Project assets and logos
└── docs/                   # Documentation

🛠️ Quick Start

Prerequisites

• Go 1.24.0+
• PostgreSQL 15+
• Redis 7+ (optional)

Installation

1. Clone the repository and setup environment:

   git clone https://github.com/your-org/helixcode.git
   cd helixcode
   ./setup.sh

   This will:

   • Initialize all git submodules
   • Install system dependencies
   • Build the HelixCode application

2. Manual setup (alternative):

   # Initialize submodules
   ./scripts/init-submodules.sh
   
   # Install dependencies (Ubuntu/Debian)
   ./install_missing_libs.sh
   
   # Build the application
   cd HelixCode
   make build

3. Setup database:

   createdb helixcode
   createuser helixcode

4. Configure environment:

   export HELIX_DATABASE_PASSWORD=your_password
   export HELIX_AUTH_JWT_SECRET=your_jwt_secret

5. Run the server:

   ./bin/helixcode

CLI Usage

# Interactive mode
./cli

# List workers
./cli --list-workers

# Add a worker
./cli --worker worker-host --user helix --key ~/.ssh/id_rsa

# Generate with LLM
./cli --prompt "Hello world" --model llama-3-8b

# Health check
./cli --health

🔌 API Endpoints

Authentication

• POST /api/v1/auth/register - User registration
• POST /api/v1/auth/login - User login
• POST /api/v1/auth/refresh - Token refresh

Workers

• GET /api/v1/workers - List workers
• POST /api/v1/workers - Register worker
• GET /api/v1/workers/:id - Get worker details

Tasks

• GET /api/v1/tasks - List tasks
• POST /api/v1/tasks - Create task
• GET /api/v1/tasks/:id - Get task details
• POST /api/v1/tasks/:id/start - Start task execution

Projects

• GET /api/v1/projects - List projects
• POST /api/v1/projects - Create project
• GET /api/v1/projects/:id - Get project details

📊 Database Schema

Core Tables

• users: User accounts and authentication
• workers: Distributed worker nodes with SSH config
• tasks: Task management with checkpoints and dependencies
• projects: Project lifecycle management
• sessions: Development sessions and context
• llm_providers: Configured LLM provider instances
• notifications: Multi-channel notification management

🔧 Development

Build Commands

make build          # Build the application
make test           # Run all tests
make clean          # Clean build artifacts
make lint           # Lint code
make fmt            # Format code

Testing

# Run all tests
go test ./...

# Run specific package tests
go test -v ./internal/auth

# Run with coverage
go test -cover ./...

🤝 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.

📚 Documentation

• Architecture Overview
• Development Guide
• User Guide
• API Documentation

🆘 Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Documentation: See /docs directory

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Built with ❤️ using Go, PostgreSQL, and distributed computing principles

HelixCode - Empowering distributed AI development workflows