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JAEGIS AI Web OS 🚀

NPM Version Python Version License: MIT CI/CD Security Rating Code Coverage

Transform architectural documentation into complete, production-ready applications using AI-powered analysis and code generation.

JAEGIS AI Web OS is an enterprise-grade, universal application foundry that converts complex architectural documents into fully functional applications. Built with a hybrid Node.js/Python architecture, it combines advanced document processing, multi-provider AI integration, and sophisticated code generation to deliver production-ready projects in minutes.

✨ Key Features

🧠 AI-Powered Architecture Analysis

  • Multi-Provider Support: OpenAI GPT-4, Anthropic Claude, Azure OpenAI, local models
  • Advanced Prompt Engineering: Chain-of-thought reasoning with role-based prompts
  • Intelligent Fallbacks: Automatic provider switching and rule-based processing
  • Context-Aware Analysis: Understands project dependencies and architectural patterns

📄 Advanced Document Processing

  • Multi-Format Support: Word (.docx), PDF, PowerPoint (.pptx), Excel (.xlsx), Markdown, HTML
  • Structure Preservation: Maintains document hierarchy, tables, and embedded content
  • Semantic Chunking: Context-aware content segmentation with overlap
  • Entity Extraction: Automatic detection of technologies, dependencies, and commands

🏗️ Complete Code Generation

  • Production Templates: Next.js, React, Python, Django, FastAPI with full project structure
  • AI-Generated Content: Custom files created using intelligent prompts
  • Dependency Management: Automatic package resolution and version compatibility
  • Build Validation: Ensures generated projects are immediately runnable

🎯 Interactive Experience

  • Guided Workflows: Step-by-step project generation with real-time feedback
  • Rich Terminal UI: Progress tracking, status monitoring, and error reporting
  • Preview Mode: Review generated plans before execution
  • Configuration Management: Environment-specific settings with hot-reloading

🏢 Enterprise-Ready

  • Comprehensive Error Handling: Graceful degradation with recovery strategies
  • Advanced Caching: TTL-based caching with size limits and persistence
  • Structured Logging: Configurable levels with rotation and retention
  • Performance Monitoring: Memory management and parallel processing

🚀 Quick Start

NPX (Recommended)

# Interactive mode - guided project generation
npx jaegis-ai-web-os interactive

# Direct build from architecture document
npx jaegis-ai-web-os build --base ./architecture.docx --output ./my-project

Installation

# Global installation
npm install -g jaegis-ai-web-os

# Or use with npx (no installation required)
npx jaegis-ai-web-os --help

Basic Usage

# Interactive mode with step-by-step guidance
jaegis-ai-web-os interactive

# Build from architectural document
jaegis-ai-web-os build --base ./docs/architecture.docx --output ./generated-app

# Enhanced mode with AI analysis
jaegis-ai-web-os build --base ./specs.md --enhanced --ai-provider openai

# Dry run to preview changes
jaegis-ai-web-os build --base ./design.pdf --dry-run --plan-only

📖 Documentation

Quick Links

Architecture Diagrams

🛠️ Supported Technologies

Frontend Frameworks

  • Next.js 15: Full-stack React with TypeScript, Tailwind CSS, and modern tooling
  • React 18: Modern React applications with Vite, TypeScript, and component libraries
  • Vue.js: (Coming soon) Progressive framework with Composition API
  • Angular: (Coming soon) Enterprise applications with TypeScript

Backend Frameworks

  • Python: CLI applications with Click, testing, and packaging
  • Django: Full-featured web applications with REST API support
  • FastAPI: High-performance APIs with automatic documentation
  • Node.js/Express: (Coming soon) JavaScript backend applications

Supported Document Formats

  • Microsoft Office: Word (.docx), PowerPoint (.pptx), Excel (.xlsx)
  • PDF: Text extraction with table and image detection
  • Web Formats: HTML, Markdown with structure preservation
  • Plain Text: Automatic encoding detection and content analysis

🔧 Configuration

Environment Variables

# AI Provider Configuration
export OPENAI_API_KEY="your-openai-key"
export ANTHROPIC_API_KEY="your-anthropic-key"
export MCP_PREFERRED_AI_PROVIDER="openai"

# Processing Configuration
export MCP_MAX_CHUNK_SIZE="4000"
export MCP_CACHE_ENABLED="true"
export MCP_LOG_LEVEL="INFO"

# Build Configuration
export MCP_BUILD_TIMEOUT="1800"
export MCP_DEFAULT_OUTPUT_DIRECTORY="./output"

Configuration File (mcp_server.yaml)

# AI Provider Settings
ai:
  preferred_provider: "openai"
  request_timeout: 120
  max_retries: 3

# Document Processing
processing:
  max_chunk_size: 4000
  chunk_overlap_size: 200
  supported_formats: [".docx", ".pdf", ".md", ".txt", ".html", ".pptx", ".xlsx"]

# Caching
cache:
  enabled: true
  directory: ".mcp_cache"
  max_size_mb: 1024
  ttl_hours: 24

# Logging
logging:
  level: "INFO"
  file_enabled: true
  rotation: "1 day"
  retention: "30 days"

🎯 Examples

Example 1: Next.js Application from Architecture Document

# Process a comprehensive architecture document
jaegis-ai-web-os build \
  --base ./docs/web-app-architecture.docx \
  --output ./my-nextjs-app \
  --ai-provider openai \
  --enhanced

# Result: Complete Next.js application with:
# - TypeScript configuration
# - Tailwind CSS setup
# - Component library
# - API routes
# - Database integration
# - Deployment configuration

Example 2: Python CLI Tool from Specifications

# Generate a Python CLI application
jaegis-ai-web-os build \
  --base ./specs/cli-tool-requirements.md \
  --output ./my-cli-tool \
  --template-preference python

# Result: Complete Python package with:
# - Click-based CLI interface
# - Configuration management
# - Testing framework
# - Packaging setup
# - Documentation

Example 3: Interactive Mode for Complex Projects

# Launch interactive mode for guided generation
jaegis-ai-web-os interactive

# Follow prompts to:
# 1. Select architecture documents
# 2. Configure AI providers
# 3. Choose frameworks and templates
# 4. Preview generated structure
# 5. Execute build with real-time feedback

🧪 Testing

Run Tests

# Install development dependencies
npm install
pip install -r requirements-dev.txt

# Run all tests
npm test
python -m pytest

# Run with coverage
npm run test:coverage
python -m pytest --cov=mcp_server

# Run integration tests
npm run test:integration
python -m pytest tests/integration/

Test Structure

tests/
├── unit/           # Unit tests for individual components
├── integration/    # Integration tests for workflows
├── e2e/           # End-to-end tests with real documents
└── fixtures/      # Test data and mock documents

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Setup

# Clone the repository
git clone https://github.com/usemanusai/JAEGIS-AI-Web-OS.git
cd JAEGIS-AI-Web-OS

# Install dependencies
npm install
pip install -r requirements-dev.txt

# Set up pre-commit hooks
pre-commit install

# Run development server
npm run dev

Code Quality

  • ESLint: JavaScript/TypeScript linting
  • Black: Python code formatting
  • MyPy: Python type checking
  • Pytest: Python testing framework
  • Jest: JavaScript testing framework

📊 Performance

Benchmarks

  • Document Processing: 100+ page documents in <30 seconds
  • Code Generation: Complete applications in <60 seconds
  • Memory Usage: <2GB for typical workflows
  • Cache Hit Rate: 95%+ for repeated operations

Scalability

  • Parallel Processing: Multiple documents simultaneously
  • Memory Management: Efficient chunking for large files
  • Caching: Intelligent caching reduces processing time by 80%
  • Resource Limits: Configurable timeouts and memory limits

🔒 Security

Security Features

  • Input Validation: Comprehensive document and parameter validation
  • Sandboxed Execution: Optional sandbox mode for untrusted documents
  • Dependency Scanning: Automated vulnerability detection
  • Secure Defaults: Conservative security settings out-of-the-box

Reporting Security Issues

Please report security vulnerabilities to security@usemanusai.com. See our Security Policy for details.

📄 License

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

🙏 Acknowledgments

  • OpenAI for GPT-4 API and advanced language models
  • Anthropic for Claude API and AI safety research
  • Rich for beautiful terminal interfaces
  • Click for elegant command-line interfaces
  • Jinja2 for powerful template rendering

📞 Support

Built with ❤️ by the JAEGIS AI team