# ARC Core
Adaptive Recursive Consciousness (ARC) Core is a framework for building continual learning AI systems that can learn and reason over time. It features:
- **Continual Learning**: Real-time learning with LoRA adapters
- **Reasoning Engine**: Graph-based reasoning and pattern recognition
- **Biological Learning**: Implements biological learning mechanisms
- **Model Agnostic**: Works with various transformer architectures
## Installation
```bash
pip install arc-core
```
## Quick Start
```python
from arc_core import LearningARCConsciousness, ARCCore, ARCTrainer # All aliases for the same class
# Initialize with a base model
arc = LearningARCConsciousness(model_name="gpt2")
# Learn from interactions
arc.learn_from_experience("The sky appears blue due to Rayleigh scattering")
# Generate responses
response = arc.generate("Why is the sky blue?")
print(response)
```
## Features
- **Dynamic LoRA Adapters**: Automatically adapts to different model architectures
- **Reasoning Graph**: Maintains a knowledge graph of learned concepts
- **Biological Learning**: Implements contextual gating and cognitive inhibition
- **Persistence**: Saves learning progress between sessions
## Documentation
For detailed documentation, see [ARC Core Documentation](https://github.com/yourusername/arc-core).
## License
MIT
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