AxonOS is a next-generation cognitive operating system designed to integrate Brain-Computer Interfaces (BCI) with autonomous AI agents.
The project creates an abstraction layer between user neural signals and the digital environment, enabling device and software control through intent and cognitive states.
🌐 Website: axonos.org
- Neuro-Kernel: A real-time kernel for processing streaming EEG/MEG data with ultra-low latency.
- AI Agent Orchestration: Built-in environment for AI agents that predict user intent based on neural activity patterns.
- Universal Driver Support: Out-of-the-box support for popular neuro-headsets (OpenBCI, Muse, Neurosity, etc.).
- Privacy First: Local processing of neural data to ensure user privacy without mandatory cloud dependency.
To be updated as the architecture evolves.
- Core: [Rust / C++] — For high performance and memory safety.
- ML/AI: [Python / PyTorch / TensorFlow] — For signal decoding and model training.
- Interface: [React / Qt / Flutter] — For visualizing brain activity and system status.
- Python 3.9+
- Compatible BCI hardware (or use the built-in data stream emulator).
- Clone the repository: `bash git clone https://github.com/your-username/axonos.git