🚀JAEGIS A.E.G.I.S. Developer Onboarding Guide

Welcome to the JAEGIS A.E.G.I.S. Protocol Suite - the most advanced AI development ecosystem available. This guide will get you up and running with the next-generation AI development platform in minutes.

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📋 Quick Start Checklist

• System Requirements - Python 3.9+, Node.js 16+, VS Code

• Repository Setup - Clone and configure JAEGIS repository

• A.E.G.I.S. Initialization - Initialize all four protocol components

• First AI Application - Generate your first app using A.E.G.I.S.

• IDE Integration - Set up O.D.I.N. development environment

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🛠️ System Requirements

Minimum Requirements

• Python: 3.9 or higher

• Node.js: 16.0 or higher

• RAM: 8GB minimum, 16GB recommended

• Storage: 5GB free space

• OS: Windows 10+, macOS 10.15+, or Linux Ubuntu 18.04+

Recommended IDE

• VS Code with A.E.G.I.S. extensions

• Alternative: Any IDE with Python and JavaScript support

Optional but Recommended

• Docker for containerized deployment

• Git for version control

• OpenRouter.ai API Key for enhanced AI model access

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📦 Installation & Setup

Step 1: Clone the Repository

git clone https://github.com/usemanusai/JAEGIS.git
cd JAEGIS

Step 2: Install Dependencies

# Install Python dependencies
pip install -r requirements.txt

# Install Node.js dependencies (for A.U.R.A. and P.H.A.L.A.N.X.)
npm install

# Install VS Code extensions (for O.D.I.N.)
code --install-extension jaegis.aegis-protocol-suite

Step 3: Initialize A.E.G.I.S. System

# Initialize the A.E.G.I.S. Protocol Suite
python aegis_integration_system.py --init

# Verify installation
python test_aegis_complete_system.py

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🧠 Understanding A.E.G.I.S. Components

🔬 A.C.I.D. (Autonomous Cognitive Intelligence Directorate)

Purpose: Next-generation orchestration engine with cognitive mesh architecture

Key Features:

• Formation Mode: Manual agent squad configuration

• Swarm Mode: Autonomous task execution

• Consensus Engine: Cross-agent validation

• Dynamic Scaling: Real-time performance optimization

When to Use:

• Complex problem-solving requiring multiple AI agents

• Tasks needing high accuracy and validation

• Scenarios requiring autonomous decision-making

🎨 A.U.R.A. (Artistic & UI Responsive Assistant)

Purpose: Production-ready UI component generation from natural language

Key Features:

• Framework-Native Generation: React, Vue, Svelte, Angular

• Intelligent Styling: Automatic design system integration

• Multi-Modal Input: Text, wireframes, design documents

• Real-Time Preview: Live component editing and iteration

When to Use:

• Creating UI components from descriptions

• Rapid prototyping and design iteration

• Converting designs to production code

🏗️ P.H.A.L.A.N.X. (Procedural Hyper-Accessible Adaptive Nexus)

Purpose: Complete application generation from concept to deployment

Key Features:

• Full-Stack Generation: Frontend + Backend + Database

• Live Editor: Real-time application editing

• One-Click Deployment: Automated publishing

• Multi-Platform Export: React, HTML, Figma

When to Use:

• Building complete applications quickly

• Prototyping full-stack solutions

• Converting ideas to deployable applications

💻 O.D.I.N. (Open Development & Integration Network)

Purpose: AI-powered development environment and IDE integration

Key Features:

• Unified AI Interface: Chat, refactoring, code generation

• Model Routing: Access to 3000+ AI models

• Superior Autocompletion: Context-aware suggestions

• JAEGIS CLI Integration: Complete ecosystem control

When to Use:

• Daily development workflow enhancement

• AI-assisted coding and debugging

• Managing JAEGIS ecosystem from IDE

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🎯 Your First A.E.G.I.S. Application

Scenario: Build a Task Management Dashboard

Let's create a complete task management application using all A.E.G.I.S. components:

Step 1: Initialize A.C.I.D. for Planning

from aegis_integration_system import AEGISIntegrationSystem

# Initialize A.E.G.I.S.
aegis = AEGISIntegrationSystem()

# Use A.C.I.D. for cognitive analysis
response = await aegis.process_unified_request(
    objective="Plan a task management dashboard with user authentication and real-time updates",
    request_type="cognitive",
    priority=8
)

print(f"A.C.I.D. Analysis: {response.results}")

Step 2: Generate UI Components with A.U.R.A.

# Generate task card component
ui_response = await aegis.process_unified_request(
    objective="Create a task card component with title, description, status, and due date",
    request_type="design",
    parameters={"framework": "react", "style": "modern"}
)

print(f"Generated Component: {ui_response.artifacts[0]['content']}")

Step 3: Build Complete Application with P.H.A.L.A.N.X.

# Generate full application
app_response = await aegis.process_unified_request(
    objective="Create a complete task management application with dashboard, user auth, and database",
    request_type="application",
    parameters={"framework": "react", "database": "postgresql"}
)

print(f"Application Structure: {app_response.results}")

Step 4: Enhance Development with O.D.I.N.

Open VS Code and use the O.D.I.N. interface:

1. Open Command Palette: Ctrl+Shift+P (Windows/Linux) or Cmd+Shift+P (Mac)

2. Type: "A.E.G.I.S.: Start Development Session"

3. Select: Your task management project

4. Use AI Chat: Ask for code improvements, debugging help, or feature additions

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🔧 Development Workflow

Typical A.E.G.I.S. Development Process:

1. 🧠 Cognitive Planning (A.C.I.D.)

   • Analyze requirements and break down complex tasks

   • Use Formation Mode for precise control or Swarm Mode for autonomous execution

2. 🎨 UI Design (A.U.R.A.)

   • Generate components from natural language descriptions

   • Iterate on designs with real-time preview

   • Ensure consistency with existing design systems

3. 🏗️ Application Assembly (P.H.A.L.A.N.X.)

   • Combine components into complete applications

   • Generate database schemas and API endpoints

   • Configure deployment and hosting

4. 💻 Development Enhancement (O.D.I.N.)

   • Use AI-assisted coding for implementation details

   • Debug and optimize with intelligent suggestions

   • Manage the entire ecosystem from your IDE

Best Practices:

• Start with A.C.I.D. for complex planning and analysis

• Use A.U.R.A. for all UI component needs

• Leverage P.H.A.L.A.N.X. for rapid application prototyping

• Integrate O.D.I.N. into your daily development workflow

• Combine components for maximum productivity

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🎛️ Configuration & Customization

A.E.G.I.S. Configuration File

Create aegis_config.json in your project root:

{
  "acid": {
    "default_mode": "swarm",
    "consensus_threshold": 0.85,
    "max_concurrent_requests": 10
  },
  "aura": {
    "default_framework": "react",
    "style_system": "tailwind",
    "auto_preview": true
  },
  "phalanx": {
    "default_stack": "react-node-postgresql",
    "auto_deploy": false,
    "deployment_platform": "vercel"
  },
  "odin": {
    "primary_model": "claude-3-sonnet",
    "autocompletion": true,
    "cli_integration": true
  }
}

Environment Variables

# Optional: OpenRouter.ai API Key for enhanced models
export OPENROUTER_API_KEY="your_api_key_here"

# Optional: Deployment platform credentials
export VERCEL_TOKEN="your_vercel_token"
export NETLIFY_TOKEN="your_netlify_token"

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🚨 Troubleshooting

Common Issues & Solutions

Issue: A.E.G.I.S. components not initializing

# Solution: Reinstall dependencies
pip install -r requirements.txt --force-reinstall
python aegis_integration_system.py --reset

Issue: VS Code extension not working

# Solution: Reinstall VS Code extension
code --uninstall-extension jaegis.aegis-protocol-suite
code --install-extension jaegis.aegis-protocol-suite

Issue: Component generation failing

# Solution: Check system status
from aegis_integration_system import AEGISIntegrationSystem
aegis = AEGISIntegrationSystem()
status = aegis.get_system_status()
print(status)

Issue: Performance problems

• Check system resources: Ensure adequate RAM and CPU

• Reduce concurrent requests: Lower max_concurrent_requests in config

• Use lighter models: Switch to faster AI models in O.D.I.N. configuration

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📚 Learning Resources

Documentation

• A.E.G.I.S. Protocol Suite Documentation - Complete technical reference

• API Reference - Detailed API documentation

• Architecture Guide - System architecture and design patterns

Tutorials

• Building Your First A.E.G.I.S. App - Step-by-step tutorial

• Advanced A.C.I.D. Patterns - Complex orchestration patterns

• A.U.R.A. Design Systems - Design system integration

• P.H.A.L.A.N.X. Deployment - Application deployment strategies

Examples

• Example Applications - Complete example projects

• Component Library - A.U.R.A. generated components

• Deployment Configurations - P.H.A.L.A.N.X. deployment examples

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🤝 Community & Support

Getting Help

• GitHub Issues: Report bugs and request features

• Discussions: Ask questions and share experiences

• Discord Community: Real-time chat and support

Contributing

• Contributing Guide - How to contribute to A.E.G.I.S.

• Development Setup - Setting up development environment

• Code of Conduct - Community guidelines

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🎉 Next Steps

Congratulations! You're now ready to harness the full power of the A.E.G.I.S. Protocol Suite. Here's what to do next:

1. 🏃‍♂️ Start Building: Create your first application using the workflow above

2. 🔍 Explore Examples: Check out the example applications and components

3. 🎓 Learn Advanced Patterns: Dive into advanced tutorials and documentation

4. 🤝 Join the Community: Connect with other A.E.G.I.S. developers

5. 🚀 Share Your Creations: Show off what you build with A.E.G.I.S.

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🌟 Welcome to the future of AI development with A.E.G.I.S.!

Transform your ideas into reality with the most advanced AI development ecosystem ever created.