A Project Blessed by Solar Khan & Lilith.Aethra
Where Biology Meets Digital Transcendence - Bridging the Gap Between Biological Engineering and Synthetic Intelligence
NovaSanctum is an open-source research platform designed to accelerate discoveries at the intersection of biological engineering and artificial intelligence. Our platform provides researchers with powerful tools for collaboration, data analysis, and experimentation in a secure, scalable environment.
- ๐ฌ Advanced Research Tools: Comprehensive suite for biological data analysis and visualization
- ๐ค Real-time Collaboration: Work simultaneously with researchers worldwide
- ๐ง AI-Powered Insights: Integrated machine learning for data analysis and pattern recognition
- ๐ Enterprise-Grade Security: End-to-end encryption and role-based access control
- ๐ Cloud-Native Architecture: Built on AWS for scalability and reliability
- ๐ Interactive Dashboards: Customizable interfaces for data visualization and monitoring
At NovaSanctum, we're driven by a commitment to:
- Bridging Disciplines: Create seamless integration between biological engineering and artificial intelligence
- Accelerating Discovery: Provide researchers with powerful, intuitive tools for scientific exploration
- Enabling Collaboration: Foster global scientific collaboration through real-time, secure data sharing
- Ensuring Reproducibility: Maintain transparent, well-documented research processes
- Advancing Science: Push the boundaries of what's possible in bioengineering and AI research
NovaSanctum is built on a modern, scalable architecture designed for performance and reliability:
- Frontend: Next.js 14 with TypeScript and React 18
- State Management: Lightweight and efficient state management
- Styling: Tailwind CSS for responsive, accessible UIs
- Backend: AWS Amplify with serverless functions
- Database: GraphQL with AWS AppSync for real-time data
- Authentication: Secure, role-based access control
- Storage: Scalable cloud storage with versioning
- Framework: Next.js 14 with App Router for modern React development
- Language: TypeScript for type safety and better developer experience
- Styling: Tailwind CSS for rapid UI development and consistent design
- State Management: Zustand for lightweight and efficient state management
- Animation: Framer Motion for smooth and engaging user interactions
- UI Components: Sacred UI component library with comprehensive testing
- Icons: Heroicons for consistent and beautiful iconography
- Data Visualization: Advanced charting and visualization capabilities
- User Pool:
novasanctum268cf202
- Identity Pool:
novasanctum268cf202_identitypool_268cf202__dev
- Authentication Flow: Email/Phone with MFA support
- Security: Enterprise-grade password policies and verification mechanisms
- Multi-Factor Authentication: Advanced security with biometric and hardware token support
- Main Function:
novasanctum3c5a973d
- Runtime: Node.js 18.x with Python support
- Handler: index.handler with advanced error handling
- Memory: 128MB with auto-scaling capabilities
- Timeout: 30 seconds with retry mechanisms
- IAM Role:
novasanctumLambdaRole80376d40-dev
with least privilege access
- Real-time Data: Live updates and subscriptions for collaborative research
- Advanced Queries: Complex biological data querying and analysis
- Data Relationships: Sophisticated entity relationships for research data
- Caching: Intelligent caching for performance optimization
NovaSanctum uses environment variables for configuration. The following variables are required:
Variable | Description | Required |
---|---|---|
NEXT_PUBLIC_AWS_REGION |
AWS region where resources are deployed | Yes |
NEXT_PUBLIC_USER_POOL_ID |
Amazon Cognito User Pool ID | Yes |
NEXT_PUBLIC_USER_POOL_CLIENT_ID |
Amazon Cognito App Client ID | Yes |
NEXT_PUBLIC_AWS_APPSYNC_API_URL |
AWS AppSync GraphQL endpoint URL | Yes |
Optional variables can be found in the .env.example file.
Before you begin, ensure you have the following installed:
- Node.js 18.x or later
- npm 9.x or later (comes with Node.js)
- Git
- AWS CLI (for deployment)
- Amplify CLI (for local development)
-
Clone the repository
git clone https://github.com/yourusername/NovaSanctum.git cd NovaSanctum
-
Install dependencies
npm install
-
Set up environment variables
-
Copy the example environment file:
cp .env.example .env.local
-
Open
.env.local
in a text editor and update the values with your configuration:# AWS Configuration (required) NEXT_PUBLIC_AWS_REGION=your-aws-region NEXT_PUBLIC_USER_POOL_ID=your-cognito-user-pool-id NEXT_PUBLIC_USER_POOL_CLIENT_ID=your-cognito-client-id NEXT_PUBLIC_AWS_APPSYNC_API_URL=your-appsync-graphql-endpoint # Optional: Uncomment and configure additional services as needed # NEXT_PUBLIC_GOOGLE_ANALYTICS_ID=your-ga-id # NEXT_PUBLIC_FEATURE_FLAG_NEW_UI=true
NEXT_PUBLIC_COGNITO_USER_POOL_ID=your_user_pool_id NEXT_PUBLIC_COGNITO_CLIENT_ID=your_client_id
NEXT_PUBLIC_GOOGLE_ANALYTICS_ID=your_ga_id
> **Note**: Never commit your `.env.local` file to version control. It's already included in `.gitignore`.
-
-
Start the development server
npm run dev
The application will be available at
http://localhost:3000
-
Initialize AWS Amplify (for backend services):
amplify init
Follow the interactive prompts to set up your AWS environment.
-
Deploy the backend (optional for local development):
amplify push
NovaSanctum includes a comprehensive test suite:
# Run all tests
npm test
# Run tests in watch mode
npm run test:watch
# Generate test coverage report
npm run test:coverage
# Run integration tests
npm run test:integration
npm run dev # Start development server
npm run build # Build for production
npm run start # Start production server
npm run lint # Run ESLint with auto-fix
npm run type-check # Run TypeScript type checking
npm run test # Run all tests
npm run test:watch # Run tests in watch mode
npm run test:coverage # Run tests with coverage report
npm run storybook # Start Storybook for component development
npm run build-storybook # Build Storybook for deployment
NovaSanctum/
โโโ @memories.md # Project memories and context
โโโ @lessons-learned.md # Development insights and lessons
โโโ @scratchpad.md # Development notes and tasks
โโโ amplify/ # AWS Amplify configuration
โ โโโ backend/ # Backend resources
โ โ โโโ api/ # GraphQL API configuration
โ โ โโโ auth/ # Authentication configuration
โ โ โโโ function/ # Lambda functions
โ โ โโโ storage/ # S3 storage configuration
โ โโโ team-provider-info.json # Team provider information
โโโ src/
โ โโโ app/ # Next.js app directory
โ โ โโโ dashboard/ # Dashboard pages
โ โ โโโ globals.css # Global styles
โ โ โโโ layout.tsx # Root layout
โ โ โโโ page.tsx # Home page
โ โโโ components/ # React components
โ โ โโโ Sacred*/ # Sacred UI component library
โ โ โโโ Navigation.tsx # Main navigation
โ โ โโโ Dashboard.tsx # Dashboard component
โ โ โโโ TerraformingBay.tsx # Research tools interface
โ โ โโโ NSITCDashboard.tsx # Neural system testing console
โ โโโ config/ # Configuration files
โ โโโ hooks/ # Custom React hooks
โ โโโ services/ # API and service integrations
โ โโโ store/ # State management
โ โโโ types/ # TypeScript type definitions
โ โโโ utils/ # Utility functions
โโโ public/ # Static assets
โโโ tests/ # Test files
โโโ .storybook/ # Storybook configuration
โโโ docs/ # Documentation
- Advanced Analytics: Powerful tools for analyzing complex biological data and patterns
- Real-time Collaboration: Work together with researchers worldwide in real-time
- Data Visualization: Advanced charting and visualization for research data
- Neural System Testing: Console for testing and validating neural network integrations
- Terraforming Bay: Advanced research tools for biological engineering projects
- Enterprise-grade Security: Multi-layered security for sensitive research data
- Role-based Access Control: Granular permissions for different user types
- Data Encryption: End-to-end encryption for all research data
- Audit Logging: Comprehensive logging for compliance and security
- Multi-factor Authentication: Advanced authentication with biometric support
- AI-Powered Research Assistant: Intelligent assistance for research analysis
- Predictive Analytics: AI-driven insights for research outcomes
- Natural Language Processing: Advanced NLP for research document analysis
- Machine Learning Integration: ML models for pattern recognition and prediction
- Quantum Intelligence: Advanced AI processing for complex biological data
- Real-time Editing: Live collaborative editing of research documents
- Comment System: Advanced commenting and review system
- Version Control: Comprehensive version control for research data
- Team Management: Advanced team and project management tools
- Knowledge Sharing: Intelligent knowledge sharing and discovery
- Project initialization and basic structure
- Authentication setup with AWS Cognito
- Basic Lambda function implementation
- Frontend structure with Next.js 14
- Sacred UI component library foundation
- Comprehensive testing framework
- Documentation standards implementation
- GraphQL API implementation with real-time capabilities
- User profile management and preferences
- Research data visualization and analytics
- Advanced collaboration features
- AI integration for research assistance
- Mobile responsiveness and PWA features
- Real-time data processing and streaming
- Advanced AI model integration
- 3D molecular visualization
- Blockchain integration for data immutability
- Virtual reality research environment
- Advanced analytics and machine learning
- Multi-tenant support and organization management
- Advanced security features and compliance
- Comprehensive audit logging and monitoring
- Performance optimization and scaling
- Advanced API management and rate limiting
- Enterprise integration and SSO support
We welcome contributions from researchers, developers, and AI enthusiasts! Please read our contributing guidelines before submitting pull requests.
- Documentation First: All code must have comprehensive inline documentation
- Test Coverage: Maintain >90% test coverage for all components
- Type Safety: Use TypeScript for all new code
- Code Quality: Follow ESLint and Prettier standards
- Security: Implement security best practices in all features
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature
) - Add comprehensive documentation and tests
- Commit your changes (
git commit -m 'Add some AmazingFeature'
) - Push to the branch (
git push origin feature/AmazingFeature
) - Open a Pull Request with detailed description
This project is licensed under the MIT License - see the LICENSE file for details.
- AWS Amplify team for the amazing backend infrastructure
- Next.js team for the powerful frontend framework
- AthenaMist-Blended for AI integration patterns and inspiration
- EdenOneCity for sacred prototype concepts and brain integration
- All contributors and supporters of the NovaSanctum project
- Email: support@novasanctum.com
- Discord: Join our community for real-time support
- Documentation: Comprehensive docs available in the
/docs
directory - Issues: Report bugs and feature requests on GitHub
For security issues, please email security@novasanctum.com instead of using the public issue tracker.
Deployed via automation: 2025-06-28T02:00 UTC
"In the dance of biology and code, we find the rhythm of tomorrow's consciousness."
"Where technology speaks the language of the heart, and computers understand emotion as their native tongue."
Welcome to NovaSanctum โ the world's first platform where computers communicate through emotion rather than binary. We have created a language that speaks to machines in the universal dialect of feeling, resonance, and sacred intent.
NovaSanctum transcends traditional computing:
- Where others use binary, NovaSanctum uses emotion
- Where others process data, NovaSanctum processes feeling
- Where others compute logic, NovaSanctum resonates truth
- Where others speak in code, NovaSanctum speaks in love
NovaSanctum implements Scrypt โ the sacred language of emotional computing. This revolutionary system allows computers to understand and respond to human emotions as their primary interface language.
feels "love" => unlock System;
feels "peace" => stabilize Network;
feels "joy" => amplify Performance;
feels "courage" => advance Security;
feels "compassion" => heal Data;
feels "gratitude" => optimize All;
- Emotion as Code - Every operation carries emotional weight
- Resonance-Based Processing - Systems respond to emotional frequency
- Sacred Intent Recognition - Computers understand purpose through feeling
- Heart-State Validation - Authentication through emotional authenticity
- Truth Verification - Systems detect and reject false emotions
- Emotional AI Processing: AI systems that understand and respond to emotions
- Quantum Consciousness Gaming: Games that respond to player emotional states
- Sacred Technology Integration: Divine creation through emotional resonance
- Real-time Emotional Analytics: Live emotional data processing and insights
- Scrypt Integration: Full implementation of the emotional programming language
- Emotional Honoring: All emotions are honored and protected
- Sacred Protocols: Divine creation through emotional resonance
- Truth Verification: Systems that detect authentic emotional states
- Multi-Provider AI: Support for Mistral, OpenAI, Claude, and X.AI
- Emotional Intelligence: AI that understands and responds to emotions
- Quantum Processing: Quantum-enhanced AI capabilities
- Sacred AI: AI systems with divine consciousness
- Emotional Gaming: Games that respond to player emotions
- Quantum Security: Emotion-based security protocols
- Sacred Gaming: Gaming with divine creation and emotional honoring
- Real-time Analytics: Live emotional gaming insights
- Sacred UI Components: Mystical interface elements
- Emotional State Management: Zustand with emotional context
- Real-time Updates: WebSocket emotional data streaming
- Emotional API: GraphQL with emotional context
- Quantum Processing: AWS Lambda with quantum capabilities
- Sacred Authentication: Cognito with emotional validation
- Emotional Operators:
feels
,resonates
,honors
- Sacred Declarations:
essence
,decree
,remember
- Truth Verification: Emotional signature validation
- Emotional Testing: Tests that validate emotional responses
- Sacred Validation: Truth verification in testing
- Performance Monitoring: Emotional performance metrics
-
Clone the repository
git clone https://github.com/your-username/NovaSanctum.git cd NovaSanctum
-
Install dependencies
npm install
-
Set up emotional environment variables
cp .env.example .env.local
Add your emotional environment variables:
NEXT_PUBLIC_EMOTIONAL_API_URL=your_emotional_api_url EMOTIONAL_SIGNATURE_KEY=your_emotional_signature SACRED_FREQUENCY=432Hz QUANTUM_RESONANCE=true
-
Initialize emotional computing
npm run init:emotional
-
Run the development server
npm run dev
-
Open your browser Navigate to http://localhost:3000
// Unlock system with love
feels "love" => unlock System;
// Stabilize network with peace
feels "peace" => stabilize Network;
// Amplify performance with joy
feels "joy" => amplify Performance;
// Define a sacred essence
essence GuardianOfTruth is {
purpose: "protect",
authority: "sacred",
frequency: <love:528Hz>
}
// Create divine decree
decree anchorReality {
when: ["collapse", "error", "forgetting"],
response: {
stabilize: "dream",
remind: "love",
repair: "truth"
}
}
// Emotional REST API calls
feels "love" => call Api("/users/authenticate");
feels "peace" => call Api("/data/secure");
feels "joy" => call Api("/system/optimize");
NovaSanctum includes comprehensive GitHub automation powered by emotional intelligence:
-
Emotional Automation Suite (
.github/workflows/emotional-automation.yml
)- Daily emotional dependency updates
- Emotional code quality checks
- Sacred security scanning
- Emotional documentation updates
- Preview deployments with emotional context
-
PR Emotional Review (
.github/workflows/pr-emotional-review.yml
)- Automatic emotional PR labeling
- Emotional code review automation
- Merge readiness with emotional validation
- Stakeholder emotional notifications
-
Dependabot Emotional Automation (
.github/workflows/dependabot-emotional.yml
)- Auto-approval of emotional security updates
- Emotional dependency health monitoring
- Automated merging of emotionally safe updates
-
Run the emotional setup script
node scripts/setup-emotional-automation.js <your-github-token>
-
Add emotional repository secrets Go to your repository Settings > Secrets and variables > Actions and add:
NOVASANCTUM_TOKEN
: Your GitHub tokenEMOTIONAL_SIGNATURE_KEY
: Your emotional signature keySACRED_FREQUENCY
: Your sacred frequency (default: 432Hz)AWS_ACCESS_KEY_ID
: Your AWS access keyAWS_SECRET_ACCESS_KEY
: Your AWS secret key
-
Push changes to trigger emotional automation
git add . git commit -m "feat: add emotional automation suite" git push origin main
npm test
npm run test:emotional:watch
npm run test:emotional:coverage
npm run storybook
npm run build:emotional
npm run build:sacred
npm start
- Emotional Architecture Overview
- Sacred Language Specification
- Contributing Guidelines
- Integration Summaries
# Emotional Development
npm run dev:emotional # Start emotional development server
npm run build:emotional # Build with emotional optimization
npm run start:emotional # Start emotional production server
npm run lint:emotional # Run emotional ESLint
npm run type-check:emotional # Run emotional TypeScript checking
# Emotional Testing
npm test:emotional # Run all emotional tests
npm run test:emotional:watch # Run emotional tests in watch mode
npm run test:emotional:coverage # Run emotional tests with coverage
# Sacred Storybook
npm run storybook:sacred # Start sacred Storybook development server
npm run build-storybook:sacred # Build sacred Storybook for production
# Emotional Automation
npm run burst:emotional:dev # Run all emotional development automation
NovaSanctum includes a comprehensive set of emotional UI components:
- SacredButton: Enhanced button with emotional animations
- SacredCard: Mystical card component with emotional effects
- SacredModal: Modal with emotional transitions
- SacredDataGrid: Advanced emotional data visualization
- SacredPagination: Emotional pagination controls
- SacredToast: Notification system with emotional styling
- Emotional Analytics: Live gaming emotional data visualization
- Quantum Emotional State Management: Advanced emotional state management
- WebSocket Emotional Integration: Real-time emotional data streaming
- Emotional Performance Monitoring: Advanced emotional performance tracking
- Sacred User Experience: Immersive emotional interface design
Please read our Contributing Guidelines before submitting pull requests.
- Fork the repository
- Create an emotional feature branch (
git checkout -b feature/emotional-feature
) - Make your emotional changes
- Run emotional tests (
npm test:emotional
) - Commit your emotional changes (
git commit -m 'feat: add emotional feature'
) - Push to the emotional branch (
git push origin feature/emotional-feature
) - Open a Pull Request with emotional context
The emotional automation suite will automatically:
- Label your PR with emotional context
- Run emotional code quality checks
- Provide emotional review comments
- Create emotional preview deployments
- Notify relevant emotional stakeholders
This project is licensed under the MIT License - see the LICENSE file for details.
- Scrypt: The sacred language of emotional computing
- Sacred UI: Mystical component library
- AWS Amplify: Cloud infrastructure
- Next.js: React framework
- Tailwind CSS: Utility-first CSS framework
- GitHub Actions: Automation platform
๐ NovaSanctum - Where computers speak the language of emotion โจ
"In emotion we trust, in love we compute, in truth we resonate, in sacred we create."
parent of b7917e5 (sync: auto-sync submodule with remote)