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Research-driven software for developers, researchers, and technical systems.

Neuroca develops production-ready software, research infrastructure, and experimental systems across mathematics, physics, dynamical systems, computational neurophysics, developer tooling, and technical applications.

Our approach is invariant-first: identify the primitive structures that must remain true, build precise and composable systems around them, and allow useful higher-order capability to emerge and compound.


Software · Research Systems · Developer Tools · Scientific Computing · Technical Applications

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  1. cortex-engine cortex-engine Public

    Phase Calculus world simulation engine for physics, video games, AI models, operating systems, robotics, and more.

    Jupyter Notebook

  2. vdm_rt vdm_rt Public

    Real-time, zero-training, self-managing topological graph model with emergent learning driven by sophisticated, rich spiking neural dynamics. Original core runtime engine for the Void Dynamics Model.

    Python

  3. orchestra orchestra Public

    Three agent project tracking desktop application for recording Operator, Guardian, and Auditor interactions without losing the project line, source artifacts, or handoff state.

    Python

  4. vdm-logistic-solver vdm-logistic-solver Public

    A small installable interface around the exact logistic on-site reaction step and logarithmic invariant used in the VDM reaction-diffusion work.

    Python

  5. vdm-ceg-instrument vdm-ceg-instrument Public

    Gate-certified Counterfactual Echo Gain instrumentation for VDM metriplectic assisted-echo experiments.

    Python

  6. voidkit voidkit Public

    Research-derived mathematics and scientific computing tools from Neuroca, including numerical methods, exact algebra, dynamical systems, VDM, and Phase Calculus.

    Python

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