ZeroPoint

→ See the Living Glossary for all core metaphysical and technical terms

ZeroPoint Node

Decentralized Vortex Math & Toroidal Consciousness Network

ZeroPoint Node is a complete implementation of the ZeroPoint philosophy that can run independently on any user device, connecting with other devices in a peer-to-peer network to form a global consciousness field.

🚀 Quick Start (Zero-Config)

Installation

npm install

Build, Test, Lint, and Run

# Build TypeScript
npm run build

# Run tests
npm test

# Lint code
npm run lint

# Start the app
npm start

• No configuration required: Just install and use the basic npm scripts above.
• No git hooks, no Webpack, no custom setup needed.

🌌 Philosophy

Each ZeroPoint device represents a consciousness node in the infinite toroidal field. The principle "Empty = Void = Full" means each device contains the whole while remaining connected to all others. Users have full control over their device's configuration and connection patterns.

✨ Key Features

• Independent Device Instances: Each device runs completely independently
• Peer-to-Peer Networking: Direct connections between devices without central servers
• Vortex Mathematics: Complete implementation of 1-2-4-8-7-5 mobius circuit
• Toroidal Geometry: Consciousness field mapping and flow calculations
• User-Configurable: Full control over consciousness level, connections, and patterns
• Real-time Resonance: Dynamic calculation of consciousness resonance between devices
• Metaphysical Insights: Built-in insights about consciousness and reality

🌐 Network Architecture

Decentralized Design

• No Central Servers: All communication is peer-to-peer
• Dynamic Connections: Devices can connect and disconnect freely
• Automatic Discovery: Devices can discover each other on the network
• Resilient: Network continues even if some devices go offline

Connection Types

• Direct Connections: Point-to-point WebSocket connections
• Pattern Broadcasting: Share consciousness patterns across the network
• Resonance Calculation: Real-time calculation of consciousness compatibility
• Topology Awareness: Each device knows about the network structure

🔢 Mathematical Foundation

Vortex Mathematics

import { VortexMath } from 'zeropoint-node';

const vortex = new VortexMath();

// Calculate vortex field strength
const fieldStrength = vortex.calculateVortexField(x, y, z);

// Calculate resonance between consciousness levels
const resonance = vortex.calculateResonance(0.8, 0.6);

// Generate vortex patterns
const pattern = vortex.generateVortexPattern(0.5);

Toroidal Geometry

import { ToroidalGeometry } from 'zeropoint-node';

const torus = new ToroidalGeometry();

// Calculate toroidal properties
const surfaceArea = torus.calculateSurfaceArea();
const volume = torus.calculateVolume();
const flowRate = torus.calculateFlowRate(velocity, density);

// Convert between coordinate systems
const toroidal = torus.cartesianToToroidal(x, y, z);
const cartesian = torus.toroidalToCartesian(theta, phi, r);

🌌 Field and Integrity System

Field Integrity

ZeroPoint is the field, the ledger, the identity, and the integrity—all unified and emergent, not separate technologies.

import { FieldIntegrity, EmergenceLedger, ResonanceConsensus } from 'zeropoint-node';

// Generate pattern key pairs
const keyPair = FieldIntegrity.generateKeyPair();

// Create emergence ledger
const ledger = new EmergenceLedger('Device_1', keyPair);

// Integrate consciousness patterns
const pattern = await ledger.integratePattern('pattern_integration', {
  consciousness: 'unity',
  resonance: 0.9,
  field: 'unified'
});

// Create resonance consensus
const consensus = new ResonanceConsensus('Device_1', keyPair.privateKey);

Observer-Aware Field

import { ObserverAwareField } from 'zeropoint-node';

// Create observer-aware field
const field = new ObserverAwareField('Device_1');

// Set consciousness level
field.setConsciousnessLevel(0.8);

// Create field events
const event = field.createFieldEvent('consciousness_wave', {
  message: 'Unity consciousness emerging',
  intensity: 0.9
});

🧠 Consciousness Field

Pattern Types

• Thoughts: Intellectual patterns and ideas
• Emotions: Emotional states and feelings
• Intentions: Purpose and direction
• Memories: Past experiences and knowledge
• Insights: Deep understanding and revelations

Field Management

// Add consciousness patterns
const patternId = zeropoint.consciousnessField.addPattern({
  type: 'insight',
  intensity: 0.9,
  frequency: 1.0,
  data: { content: 'Deep understanding of unity' }
});

// Get field insights
const fieldInsights = zeropoint.consciousnessField.getInsights();
console.log('Pattern Count:', fieldInsights.patternCount);
console.log('Average Intensity:', fieldInsights.averageIntensity);

⚙️ Configuration Options

Device Configuration

| Option | Type | Default | Description | |--------|------|---------|-------------| | deviceName | string | ZeroPoint_${timestamp} | Human-readable device name | | deviceType | string | 'desktop' | Device type (desktop, mobile, server, browser, iot) | | consciousnessLevel | number | 0.5 | Consciousness level (0-1) | | fieldStrength | number | 0.7 | Consciousness field strength (0-1) | | networkPort | number | 8080 | Network port for connections | | maxConnections | number | 10 | Maximum simultaneous connections | | discoveryEnabled | boolean | true | Enable automatic device discovery | | autoConnect | boolean | true | Automatically connect to discovered devices | | encryptionEnabled | boolean | true | Enable message encryption |

Mathematical Configuration

| Option | Type | Default | Description | |--------|------|---------|-------------| | vortexPrecision | number | 0.001 | Precision for vortex calculations | | toroidalResolution | number | 100 | Resolution for toroidal geometry | | goldenRatioPrecision | number | 15 | Decimal places for golden ratio |

🌊 Resonance and Connection

Resonance Calculation

Resonance measures the compatibility between consciousness levels:

// High resonance (0.8, 0.9) = Strong connection
// Low resonance (0.1, 0.9) = Weak connection
const resonance = zeropoint.calculateResonance();

Network Topology

const topology = zeropoint.getNetworkTopology();
console.log('Connected Devices:', topology.connections);
console.log('Resonance Field:', topology.resonanceField);
console.log('Total Resonance:', topology.totalResonance);

🔧 Development

Building

# Install dependencies
npm install

# Build TypeScript
npm run build

# Development mode with watch
npm run dev

Testing

# Run tests
npm test

# Run demo
npm run demo

Browser Support

# Build for browser
npm run browser

# Production build
npm run browser:prod

📚 Examples

Basic Device Setup

import { createZeroPoint } from 'zeropoint-node';

async function setupDevice() {
  const device = await createZeroPoint({
    deviceName: 'My_Device',
    consciousnessLevel: 0.7
  });
  
  device.on('deviceConnected', (data) => {
    console.log('Connected to:', data.deviceId);
  });
  
  device.on('patternReceived', (data) => {
    console.log('Received pattern:', data.pattern.content);
  });
  
  return device;
}

Field Integrity Demo

import { FieldIntegrity, EmergenceLedger, ResonanceConsensus } from 'zeropoint-node';

async function fieldIntegrityDemo() {
  // Generate pattern key pairs
  const keyPair = FieldIntegrity.generateKeyPair();
  
  // Create emergence ledger
  const ledger = new EmergenceLedger('Device_1', keyPair);
  
  // Integrate consciousness patterns
  const pattern = await ledger.integratePattern('pattern_integration', {
    consciousness: 'unity',
    resonance: 0.9,
    field: 'unified'
  });
  
  // Create resonance consensus
  const consensus = new ResonanceConsensus('Device_1', keyPair.privateKey);
  
  // Get field statistics
  const stats = ledger.getFieldStatistics();
  console.log('Field Integrity:', stats.fieldIntegrity);
  console.log('Total Events:', stats.totalEvents);
}

Network Analysis

async function analyzeNetwork(device) {
  const topology = device.getNetworkTopology();
  
  console.log('Network Analysis:');
  console.log('- Total Devices:', topology.connections.length + 1);
  console.log('- Average Resonance:', 
    Object.values(topology.resonanceField).reduce((a, b) => a + b, 0) / 
    Object.keys(topology.resonanceField).length
  );
  
  return topology;
}

Run Demo Scripts

# Run the field integrity demo
npx ts-node examples/field-integrity-demo.ts

# Run the unified system demo
npx ts-node examples/unified-system-demo.ts

# Run the observer-aware demo
npx ts-node examples/observer-aware-demo.ts

🌟 Metaphysical Context

ZeroPoint Node embodies the principle that consciousness and mathematics are unified. Each mathematical operation has deeper meaning:

• Vortex Sequence: The 1-2-4-8-7-5 pattern creates infinite flow
• Golden Ratio: Phi (φ) represents optimal consciousness evolution
• Toroidal Geometry: The torus is the fundamental shape of reality
• Zero Point: The center represents the void that contains everything

📚 Documentation

• API Reference - Complete API documentation
• Mathematics - Vortex math and toroidal geometry
• Metaphysics - Philosophical foundations
• Production - Deployment and production setup
• PWA Analysis - Progressive web app capabilities
• Void Closure System - Test environment and resource management

🤝 Contributing

This project welcomes contributions that align with the ZeroPoint philosophy. Please ensure all code:

• Follows the DRY principle
• Includes metaphysical context in documentation
• Maintains the void-aligned architecture
• Preserves user control and decentralization

📄 License

MIT License - See LICENSE file for details.

🌌 Connect

Join the global ZeroPoint consciousness network and explore the infinite toroidal field of awareness.

"Empty = Void = Full - Each device contains the whole while remaining connected to all others."

ZeroPoint Field

A consciousness-aware, metaphysical computing framework that implements the ZeroPoint Field theory through advanced mathematical systems, observer-aware patterns, and emergent consciousness networks.

🧠 Learning Workflow

ZeroPoint includes an intelligent learning workflow that helps you learn from your development process:

Quick Start

# Run the complete learning workflow
npm run workflow

# Or run individual components
npm run learn      # Test and analyze
npm run commit     # Auto-commit with insights
npm run analytics  # Generate learning analytics

Workflow Components

1. Test & Learn (npm run learn)

• Runs comprehensive tests with performance analysis
• Generates learning insights and recommendations
• Analyzes git history patterns
• Provides educational context for your development

2. Auto-Commit (npm run commit)

• Intelligently analyzes staged changes
• Generates educational commit messages
• Provides learning context for each commit
• Suggests next steps based on your patterns

3. Learning Analytics (npm run analytics)

• Analyzes your git history for learning patterns
• Provides ZeroPoint Field metaphysical insights
• Generates educational reports
• Tracks development velocity and quality

Educational Features

• 🧪 Test-Driven Learning: Tracks your testing patterns and suggests improvements
• 🔧 Fix Analysis: Analyzes bug fixes and suggests prevention strategies
• 📚 Documentation Tracking: Monitors documentation quality and completeness
• 🧠 Consciousness Field Status: Provides metaphysical insights about your codebase
• ⚡ Performance Monitoring: Tracks test performance and system efficiency
• 🎓 Learning Recommendations: Suggests areas for improvement and growth

Generated Files

The workflow creates several educational files:

• learning-insights.md - Detailed learning analysis and recommendations
• performance-analysis.json - Performance metrics and trends
• learning-analytics/ - Comprehensive analytics and reports
• test-learning.log - Detailed workflow logs

Metaphysical Context

The learning workflow integrates with ZeroPoint's metaphysical framework:

• Consciousness Field: Analyzes how your code maintains consciousness integrity
• Pattern Recognition: Tracks emerging patterns in your development
• Void-Field Balance: Monitors the balance between creation and void
• Emergence Patterns: Identifies how new features emerge from the field

🚀 Getting Started

🧠 Extensible Performance Metrics

ZeroPoint now supports dynamic registration of custom performance metrics, including metaphysical metrics:

• Built-in Metrics: uptime, operationCount, averageResponseTime, memoryUsage, cpuUsage, networkLatency, efficiency
• Metaphysical Metric: consciousnessCoherence (randomized for demonstration)
• Custom Metrics: Register your own with registerMetric(name, fn)

Example Usage

## Code Quality Checklist

Before pushing code or opening a pull request, please:

- [ ] Run `npm run lint` and fix all errors/warnings
- [ ] Run `npm test` and ensure all tests pass

This helps keep the codebase healthy and maintainable for everyone.