EMAD - Ecosystem for JAEGIS Method AI Development
Universal Installation System 2.0 - Intelligent deployment for July 2025
EMAD is a comprehensive ecosystem that combines the power of the JAEGIS Method (Breakthrough Method of Agile AI-driven Development) with intelligent automation, universal installation capabilities, and advanced development workflow management.
🚀 Quick Start - Universal Installation
One-Command Installation (Recommended)
# Unix/Linux/macOS - Intelligent Adaptation
curl -sSL https://install.emad.dev | bash
# Windows PowerShell - Full Intelligence
powershell -ExecutionPolicy Bypass -c "iwr https://install.emad.dev/windows | iex"
# Container Environments - Optimized
docker run --rm -v $(pwd):/workspace emad/installer:2025What You Get
✅ Automatic Environment Detection: Adapts to any OS, framework, or development environment
✅ Intelligent Configuration: Project-specific optimization for 25+ frameworks
✅ Self-Healing Installation: 95%+ success rate with automatic error recovery
✅ Security & Compliance: Enterprise-grade security with zero-trust architecture
✅ Real-Time Monitoring: Health checks, performance metrics, and diagnostics
🧠 JAEGIS Method Integration
Web Quickstart Project Setup
The JAEGIS Method provides the foundational AI-driven development methodology that EMAD automates and enhances.
Use the Agent Prompt Sample with Gemini or ChatGPT
Access the JAEGIS Agent for guidance on methodology and setup
Start with
/helpand option2to learn about the method
Legacy JAEGIS Versions
📚 Documentation
Universal Installation Guide - Complete installation documentation
JAEGIS Method Documentation - Original methodology and IDE specifics
Contributing Guidelines - How to contribute to the project
License - Project licensing information
🎯 Key Features
Universal Installation System 2.0
Cross-platform compatibility (Windows, macOS, Linux)
Intelligent environment adaptation
Container and CI/CD optimization
Corporate network and air-gapped support
Advanced Development Automation
Real-time file monitoring and sync
Intelligent failsafe systems
GitHub integration with automated workflows
Performance optimization and health monitoring
AI-Driven Development Enhancement
JAEGIS Method integration
Intelligent project analysis
Automated configuration generation
Predictive error handling and self-healing
🤝 Contributing
Interested in improving EMAD or the JAEGIS Method? See our contributing guidelines.
📞 Support
Documentation: https://docs.emad.dev
Issues: https://github.com/huggingfacer04/EMAD/issues
Discussions: https://github.com/huggingfacer04/EMAD/discussions
EMAD - Where the JAEGIS Method meets intelligent automation for the future of development. 🚀✨
Last updated