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# NEMESIS-UOR-FORK Testing Dashboard 🌌

> **Status:** Experimental / Active Synthesis
> **Core Architecture:** UOR Ontology (`Z/(2^n)Z`) + NEMESIS Theory (Hypercomplex Scalar Geometries)

## Overview
This repository serves as the primary testing environment and visual dashboard for the experimental **UOR/NEMESIS Hybrid Architecture**. 

By bridging the immutable, content-addressed logic of the [UOR Foundation](https://uor.foundation/) framework with the hypercomplex mechanics of **NEMESIS Theory**, this suite is designed to test how standard multi-metric object spaces handle non-associative and non-commutative mathematical states. 

The dashboard acts as a visual "containment field" to run dimensional stress tests, monitor Cayley-Dickson trajectory transitions, and observe structural conformance when objects cross from standard complex spaces into octonionic territory.

## Core Testing Vectors

This dashboard is built to execute and monitor several primary testing avenues:

1. **Structural Conformance (The Ontological Test):** Monitoring the JSON-LD / Turtle serialization of objects encoded with full NEMESIS scalar geometries. Verifying that validation shapes hold integrity when dimensional data becomes non-associative.
2. **Symmetry Resolution (Fano Plane Operations):** Executing $7$-dimensional cross-products based on acoustic geometries to verify if the UOR algebraic base natively resolves the resulting transformations.
3. **Cosmological & Dimensional Mechanics:** Simulating state transitions across realm boundaries. Mapping the shift from rigid spatial vectors into hypercomplex folds, rendering the resulting sequences of symmetric multi-metric object references.

## Architecture

* **The Anchor (UOR Base):** Handles cryptographic hashing, state tracking, and symmetric class relationships. It enforces the rules of the specific dimension the data currently exists in.
* **The Engine (NEMESIS Logic):** Drives the volatility, calculating the dimensional rotation, folding, and non-linear mechanics (e.g., the Sage Vortex, Octeract Cypher parameters).
* **The Interface (This Dashboard):** A Vite/TypeScript-based visualization layer interpreting the generated data structures into observable metrics.

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## Local Development & Deployment

This dashboard was initialized via Google AI Studio and runs on a Node/Vite stack.

### Prerequisites
* Node.js
* Gemini API Key (for experimental generative mechanics and data translation)

### Setup Instructions

1. **Install dependencies:**
   ```bash
   npm install

2. Configure Environment: Rename .env.example to .env.local (or create it) and set your Gemini API key:

   GEMINI_API_KEY="your_api_key_here"

3. Run the local testing server:

   npm run dev

Integration with Core Repositories

• Ontology Definitions: NEMESIS-UOR-Fork
• Theoretical Proofs & Logs: NEMESIS-Theory

License

Apache-2.0

```<div align="center">
<img width="1200" height="475" alt="GHBanner" src="https://github.com/user-attachments/assets/0aa67016-6eaf-458a-adb2-6e31a0763ed6" />
</div>

# Run and deploy your AI Studio app

This contains everything you need to run your app locally.

View your app in AI Studio: https://ai.studio/apps/e0207cc3-7a88-4173-9a9e-fac701964900

## Run Locally

**Prerequisites:**  Node.js


1. Install dependencies:
   `npm install`
2. Set the `GEMINI_API_KEY` in [.env.local](.env.local) to your Gemini API key
3. Run the app:
   `npm run dev`