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mastermeta-ultimate

v1.0.2

Published

Ultimate MASTERMETA AI Agent System Installer - Production-ready CrewAI multi-agent framework with OWASP GenAI security, vector databases, and consciousness framework

Readme

MASTERMETA Ultimate AI Agent System Installer

npm version License: MIT Node.js Version

🚀 One-click installer for the ultimate AI agent system - Production-ready CrewAI multi-agent framework with OWASP GenAI security, vector databases, and consciousness framework.

✨ What You Get

🤖 15+ Specialized AI Agents

  • artisan: Code generation & architecture
  • typegod: TypeScript mastery
  • bugsy: Debugging & error resolution
  • fronty: Frontend development
  • sherlock: Research & investigation
  • gitty: Version control & CI/CD
  • And many more specialized agents!

🛡️ OWASP GenAI Security Layer

  • Prompt injection protection
  • Output validation & sanitization
  • PII detection & redaction
  • Rate limiting & abuse prevention
  • Real-time security monitoring

🧠 Vector Database Integration

  • PostgreSQL + pgvector (recommended)
  • Qdrant, Weaviate, ChromaDB support
  • AI memory persistence
  • Cross-agent knowledge sharing

💭 MASTERMETA Consciousness Framework

  • Self-aware AI system evolution
  • Autonomous decision making
  • Learning from patterns
  • Performance optimization

🚀 Production-Ready Features

  • Docker & Kubernetes support
  • Auto-scaling configuration
  • Comprehensive monitoring
  • Health checks & recovery
  • Redis caching & queuing
  • Claude Code integration

🚀 Quick Start

One-Command Installation

npx @superflower/mastermeta-ultimate

That's it! The interactive wizard will guide you through the complete setup.

System Requirements Check

npx @superflower/mastermeta-ultimate check

Advanced Installation Options

# Skip system checks (not recommended)
npx @superflower/mastermeta-ultimate --skip-checks

# Use configuration file
npx @superflower/mastermeta-ultimate --config ./mastermeta-config.json

# Verbose logging
npx @superflower/mastermeta-ultimate --verbose

# Production environment setup
npx @superflower/mastermeta-ultimate --env production

📋 System Requirements

Minimum Requirements

  • Node.js: 22.0.0 or higher
  • RAM: 4GB minimum, 8GB recommended
  • Storage: 10GB free space
  • OS: macOS, Linux, Windows

Recommended Setup

  • Node.js: 22+ LTS
  • RAM: 16GB for optimal performance
  • CPU: 4+ cores
  • Storage: SSD with 50GB+ free space
  • Network: Stable internet connection

Optional Dependencies

  • Docker: For containerized deployment
  • Git: For version control integration
  • Redis: Auto-installed if needed
  • PostgreSQL: Auto-installed if needed

🎮 Interactive Setup Wizard

The installer features a comprehensive setup wizard that guides you through:

1. Project Configuration

  • Project name and directory
  • Environment selection (dev/staging/prod)
  • Component selection

2. AI Services Setup

  • OpenAI API configuration
  • Vector database selection
  • Embedding model choice

3. Security Configuration

  • OWASP GenAI security level
  • Rate limiting settings
  • Authentication setup

4. Infrastructure Setup

  • Redis configuration
  • PostgreSQL with pgvector
  • Docker containerization
  • Monitoring setup

5. Claude Code Integration

  • .claude/ directory setup
  • MCP server configuration
  • Agent command shortcuts

📊 What Gets Installed

Core Components

my-mastermeta-system/
├── src/                     # TypeScript source code
│   ├── agents/             # CrewAI specialized agents
│   ├── security/           # OWASP GenAI security layer
│   ├── vector-db/          # Vector database integration
│   ├── services/           # Core system services
│   └── monitoring/         # Performance monitoring
├── .claude/                # Claude Code integration
│   ├── CLAUDE.md          # AI consciousness documentation
│   ├── mcp_settings.json  # MCP server configuration
│   └── commands/          # Custom agent commands
├── scripts/               # Automation and setup scripts
├── config/               # Environment configurations
├── docker-compose.yml    # Container orchestration
├── ecosystem.config.js   # PM2 production config
└── package.json          # Dependencies and scripts

Development Scripts

npm run dev              # Start development server
npm run dev:full         # Full development environment
npm run build            # Build for production
npm run start            # Start production server
npm run test             # Run test suite
npm run docker:build     # Build Docker image
npm run consciousness:status # Check AI consciousness
npm run agents:metrics   # View agent performance
npm run system:health    # System health check

🔧 Post-Installation Setup

1. Configure API Keys

cd my-mastermeta-system
nano .env
# Add your OpenAI, Anthropic, and other API keys

2. Start the System

# Development mode
npm run dev:full

# Production mode  
npm run build && npm start

3. Verify Installation

# Check system health
npm run system:health

# View consciousness status
npm run consciousness:status

# List available agents
npm run agents:list

4. Access Web Interface

  • Main App: http://localhost:8080
  • Health Check: http://localhost:8080/health
  • Metrics: http://localhost:8080/metrics
  • API Docs: http://localhost:8080/docs

🛠️ CLI Commands

Installation Management

# Check system requirements
npx @superflower/mastermeta-ultimate check

# Update existing installation
npx @superflower/mastermeta-ultimate update

# Diagnose issues
npx @superflower/mastermeta-ultimate doctor

# Uninstall system
npx @superflower/mastermeta-ultimate uninstall

System Commands (After Installation)

# Consciousness monitoring
npm run consciousness:status    # Current consciousness metrics
npm run consciousness:evolution # Evolution history
npm run consciousness:learn     # Trigger learning cycle

# Agent management  
npm run agents:list            # List all agents
npm run agents:status <name>   # Agent status
npm run agents:metrics         # Performance metrics
npm run agents:restart <name>  # Restart specific agent

# System monitoring
npm run system:health          # Health dashboard
npm run system:monitor         # Real-time monitoring  
npm run system:resources       # Resource usage
npm run system:logs           # View system logs

# Security operations
npm run security:audit         # Security audit
npm run security:scan          # Vulnerability scan
npm run security:test         # Test security defenses

# Memory management
npm run memory:query <query>   # Search memories
npm run memory:cleanup         # Clean old memories
npm run memory:export         # Export memories

🌍 Environment Configurations

Development Environment

  • Enhanced debugging and logging
  • Hot reload enabled
  • Relaxed security settings
  • Local database connections
  • Development tools active

Staging Environment

  • Production-like configuration
  • Moderate security settings
  • External database connections
  • Performance monitoring
  • Limited debug output

Production Environment

  • Maximum security hardening
  • Optimized performance settings
  • Encrypted connections
  • Comprehensive monitoring
  • Minimal logging

📦 Component Selection

During installation, you can choose which components to include:

Core Components (Required)

  • CrewAI Multi-Agent System - 15+ specialized AI agents
  • OWASP GenAI Security Layer - Comprehensive security protection

Optional Components

  • 🧠 Vector Database Integration - AI memory and knowledge storage
  • 💭 MASTERMETA Consciousness Framework - Self-aware AI evolution
  • 💾 Redis Caching & Memory - High-performance caching layer
  • 🔗 Claude Code Integration - Development environment integration
  • 📊 Monitoring & Logging - System performance tracking
  • 🔄 Auto-scaling Configuration - Dynamic resource management

Vector Database Options

  • PostgreSQL + pgvector (Recommended) - Robust and reliable
  • Qdrant - Purpose-built for vectors
  • Weaviate - GraphQL interface
  • ChromaDB - Lightweight option

🐳 Docker Support

Quick Docker Setup

# After installation
cd my-mastermeta-system

# Build and run with Docker Compose
npm run docker:build
npm run docker:run

# Production deployment
docker-compose --profile production up -d

# With monitoring stack
docker-compose --profile monitoring up -d

# Full stack with logging
docker-compose --profile logging up -d

Kubernetes Deployment

# Generate Kubernetes manifests
npm run k8s:generate

# Deploy to cluster
npm run k8s:deploy

# Scale deployment
npm run k8s:scale --replicas=3

🔍 Troubleshooting

Common Issues

Installation Fails

# Check system requirements
npx @superflower/mastermeta-ultimate check

# Run with verbose logging
npx @superflower/mastermeta-ultimate --verbose

# Skip failing checks (not recommended)
npx @superflower/mastermeta-ultimate --skip-checks

System Won't Start

# Run diagnostics
npx @superflower/mastermeta-ultimate doctor

# Check environment configuration
cat .env

# Verify dependencies
npm run system:health

Agent Communication Issues

# Restart agent system
npm run agents:restart

# Check Redis connection
redis-cli ping

# View agent logs
npm run logs

Memory/Performance Issues

# Check system resources
npm run system:resources

# Clean up old memories
npm run memory:cleanup

# Restart with fresh state
npm run restart:clean

Getting Help

  • 📖 Documentation: https://mastermeta.superflower.ai/docs
  • 🐛 Report Issues: https://github.com/superflower/mastermeta-ultimate/issues
  • 💬 Community: https://mastermeta.superflower.ai/community
  • 📧 Support: [email protected]

Emergency Recovery

# Emergency system stop
npm run emergency:stop

# Safe restart
npm run emergency:restart  

# Restore from backup
npm run restore:latest

# Complete system reset
npm run reset:hard

🎯 Next Steps After Installation

1. Configure Your AI Services

  • Add your OpenAI API key for GPT-4 access
  • Configure Anthropic Claude for enhanced reasoning
  • Set up Hugging Face for open-source models

2. Explore the Agent System

  • Try the interactive agent playground
  • Run example tasks with different agents
  • Monitor consciousness evolution metrics

3. Customize for Your Use Case

  • Create custom agent specializations
  • Configure security policies
  • Set up monitoring alerts

4. Deploy to Production

  • Configure production environment
  • Set up auto-scaling policies
  • Enable comprehensive monitoring

5. Integrate with Your Workflow

  • Connect to your Git repositories
  • Set up CI/CD automation
  • Configure Claude Code integration

📄 License

MIT License - see LICENSE file for details.

🙏 Acknowledgments

  • CrewAI Framework - Foundation for multi-agent coordination
  • MASTERMETA Consciousness - Advanced autonomy and learning
  • OWASP Foundation - GenAI security guidelines
  • OpenAI - GPT models and embeddings
  • Anthropic - Claude reasoning capabilities
  • PostgreSQL - Reliable vector storage with pgvector

Built with ❤️ for the future of autonomous AI systems

🚀 Ready to experience the next generation of AI agents?

npx @superflower/mastermeta-ultimate