AxonOS v2.1.0

AxonOS v2.1.0

Public repository hardening release.

Highlights:

• hardened public AxonOS README
• added AxonOS Concept Video preview
• clarified repository role as the public top-level project gateway
• linked the canonical AxonOS Standard repository
• hardened MANIFEST, QUICKSTART, GETTING_STARTED, and pyproject metadata
• removed overclaim-prone public positioning
• added explicit pre-clinical / non-regulatory claim boundaries

Scope:
This release presents AxonOS as a pre-clinical technical infrastructure project for BCI operating-system architecture. It does not claim FDA clearance, CE mark, clinical validation, medical-device approval, or production implantation readiness.

Introducing AxonOS: A Secure Framework for Intelligent Edge Systems

I am excited to release AxonOS, a comprehensive Python framework engineered to bridge the gap between high-performance machine learning and secure hardware interaction.

As AI models move closer to the edge, the need for a robust architecture that handles not just inference, but also signal integrity, protocol standardization, and data security, has become critical. AxonOS solves this by providing:

• Modular Architecture: Decoupled modules for ML, hardware, and security allow for flexible system design.
• Secure Pipelines: Integrated encryption and vault mechanisms ensure model and data sovereignty.
• Real-Time Capability: Optimized signal processing modules designed for low-latency environments.

This release includes full documentation, containerization support (Docker), and ready-to-run examples for advanced ML pipelines.