DARTRIX OS Core

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  Next‑Gen Operating System

Inspiration To build a fully deterministic, crash-only agentic operating system that manages agent actions through physical models and mathematical resonance rather than erratic LLM heuristics

What it does Implements a 9-layer coupled oscillator engine running from sensory inputs (Bodźce) to spatial-temporal curvatures (Zakrzywienie) to dynamically balance agentic task execution and state resonance

How we built it Written in pure Python, utilizing mathematical approximations of coupled differential equations for resonance calculations, and integrated with Git and GitLab for continuous agent tracking

Challenges we ran into Resolving syntax corruptions and metadata pollution during high-speed code transfers, and ensuring strict float alignment across the coupling layers

Accomplishments that we're proud of Overcoming critical infrastructure hurdles under a massive time crunch to deliver a compiling, stable 9-layer neurodynamics engine

What we learned Physical constraints and deterministic state boundaries are far more robust than letting agents run with complete heuristic autonomy

What's next Full production integration with GitLab Duo Agent Platform and rolling out the interactive sliders on the web interface

Built With

• git
• gitlab
• powershell
• python
• sqlite
• yaml