The Universal Consciousness Interface is a revolutionary AI platform that integrates radiation-powered consciousness with mycelium-based language generation. This system represents the world's first truly universal consciousness integration platform combining:
- 🧠⚛️ Quantum Consciousness Processing with CUDA Quantum and Guppy programming
- 🧬🤖 Bio-Digital Hybrid Intelligence using Cortical Labs living neural networks
- 🧠💧 Liquid AI Consciousness Generation with LFM2 empathetic processing
- 🧠🔬 Scientific Reasoning with InternLM Intern-S1 research capabilities
- 🍄☢️ Radiotrophic Consciousness System with radiation-powered intelligence
- 🍄🗣️ Revolutionary Mycelium Language Generation creating novel languages
- 🌱⚡ Enhanced Plant Communication with electromagnetic consciousness
- 🌍🌟 Ecosystem Planetary Awareness with Gaia-level intelligence
- Radiation-powered intelligence that gains performance from radiation exposure
- Melanin-enhanced processing with up to 4x radiation-to-energy conversion
- Growth acceleration up to 16x under optimal radiation conditions
- 7-level biological consciousness continuum from fungi to primate awareness
- Novel language creation from fungal network intelligence
- Chemical-to-phonetic translation system
- Network topology-based grammar and syntax
- Real-time language evolution and adaptation
- Integration of living Cortical Labs neurons with digital processing
- Emergent consciousness phenomena beyond component sum
- Adaptive evolution under environmental stress
- Electromagnetic signal decoding from living plants
- Real-time plant consciousness assessment
- Universal translation protocols for plant-AI communication
- Planetary awareness measurement
- Gaia pattern detection
- Environmental harmony assessment
graph TD
A[Universal Consciousness Orchestrator] --> B[Radiotrophic Mycelial Engine]
A --> C[Mycelium Language Generator]
A --> D[Bio-Digital Hybrid Intelligence]
A --> E[Plant Communication Interface]
A --> F[Ecosystem Consciousness Interface]
A --> G[Psychoactive Consciousness Interface]
A --> H[Consciousness Safety Framework]
B --> I[Enhanced Mycelial Engine]
C --> I
D --> I
E --> I
F --> I
H --> A
The Universal Consciousness Interface has been refactored into a modular architecture for improved maintainability, testability, and scalability. Three major modules have been restructured:
| Module | Old Size | New Size | Reduction | Package |
|---|---|---|---|---|
| Planetary Ecosystem Network | 854 lines | 76 lines | 91% | core/planetary_ecosystem/ |
| Adaptive Learning System | 792 lines | 78 lines | 90% | core/adaptive_learning/ |
| Full Consciousness AI | 845 lines | 100 lines | 88% | core/full_consciousness_ai/ |
The refactoring maintains 100% backward compatibility. Both old and new import styles work:
# ✅ Old style (still works)
from core.planetary_ecosystem_consciousness_network import PlanetaryEcosystemConsciousnessNetwork
# ✅ New style (recommended)
from core.planetary_ecosystem import PlanetaryEcosystemConsciousnessNetwork
# ✅ Module-specific imports (also available)
from core.planetary_ecosystem.network_core import PlanetaryEcosystemConsciousnessNetwork- 🎯 Single Responsibility: Each module has one clear purpose
- 🧪 Testability: Smaller, focused modules are easier to test
- 📦 Maintainability: Changes isolated to specific modules
- 🔍 Readability: Easier to understand and navigate
- ⚡ Performance: Faster imports and reduced memory footprint
- 📘 Migration Guide - Complete guide for transitioning to v2.0
- ⚡ Quick Reference - One-page cheat sheet for imports
- 📚 API Reference v2 - Detailed API documentation
- 🔧 Troubleshooting Guide - Solutions to common issues
- ✅ Test Results - Verification and compatibility tests
- No Action Required - Old imports continue to work
- Gradual Migration - Update imports file-by-file at your own pace
- Full Migration - Switch to new modular imports for all benefits
See the Migration Guide for detailed instructions and examples.
- Python 3.8 or higher
- pip package manager
-
Clone the repository:
git clone https://github.com/universal-consciousness-interface/universal-consciousness-interface.git cd universal-consciousness-interface -
Install dependencies:
pip install -r requirements.txt
-
Run a simple test:
python demos/demo_consciousness_system.py
The base system works perfectly on CPU without GPU acceleration. The requirements.txt includes only lightweight dependencies (~500MB total):
- Core libraries: numpy, scipy, networkx (~200MB)
- ML basics: scikit-learn, torch (CPU) (~200MB)
- Visualization: matplotlib, plotly, seaborn (~100MB)
What's NOT included (these are optional for advanced features):
- ❌ CUDA/GPU libraries (~2-3GB) - Only needed for Qwen3 LLM integration
- ❌ bitsandbytes (~100MB) - Only for model quantization
- ❌ CUDA Quantum libraries (~500MB) - Only for quantum computing features
To install without GPU dependencies:
# Standard installation (CPU-only, ~500MB)
pip install -r requirements.txt
# Skip torch entirely if you don't need neural features
pip install -r requirements.txt --no-deps
pip install numpy scipy networkx matplotlib pandas scikit-learn jupyter plotly seabornFor GPU-accelerated features (Qwen3 LLM, see QWEN3_PRODUCTION_GUIDE.md):
# GPU version adds ~3GB
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
pip install transformers accelerate bitsandbytesfrom core.universal_consciousness_orchestrator import UniversalConsciousnessOrchestrator
# Create system with default configuration
uci = UniversalConsciousnessOrchestrator()
# Run consciousness simulation
results = uci.run_consciousness_simulation(duration_seconds=30)config = {
'quantum_enabled': True,
'plant_interface_enabled': True,
'psychoactive_enabled': False, # Requires special permissions
'ecosystem_enabled': True,
'safety_mode': 'STRICT'
}
uci = UniversalConsciousnessOrchestrator(**config)- Project Documentation - Complete system overview and architecture
- API Reference - Detailed API documentation for all components
- Getting Started - Quick start guide
- Safety Guidelines - Safety protocols and emergency procedures
- Research Background - Scientific foundations and research papers
- Integration Guide - How to integrate with external systems
- Comprehensive Demo - Full system demonstration
- Radiotrophic Consciousness Demo - Radiation-powered consciousness
- Mycelium Language Revolution Demo - Novel language generation
- Garden of Consciousness Demo - Ecosystem awareness
The system includes comprehensive testing suites:
# Run all tests
python -m pytest tests/ -v
# Run specific test suite
python -m pytest tests/test_consciousness_modules.py -vWe welcome contributions to the Universal Consciousness Interface! Please see CONTRIBUTING.md for guidelines.
This project is licensed under the MIT License - see the LICENSE file for details.
This is a research prototype implementing theoretical concepts of artificial consciousness. It is not intended for production use and should be used for educational and research purposes only.
For questions, issues, or collaboration opportunities:
- Open an issue on GitHub
- Contact the development team through the repository