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35 changes: 35 additions & 0 deletions .github/workflows/deploy.yml
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name: Deploy to GitHub Pages
on:
push:
branches: [main]
workflow_dispatch:
permissions:
contents: read
pages: write
id-token: write
concurrency:
group: "pages"
cancel-in-progress: false
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 20
cache: npm
- run: npm ci
- run: npm run build
- uses: actions/upload-pages-artifact@v3
with:
path: dist
deploy:
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
runs-on: ubuntu-latest
needs: build
steps:
- uses: actions/deploy-pages@v4
id: deployment
154 changes: 154 additions & 0 deletions LICENSE.md
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# Or4cl3 Open Model License (OOML) v1.0

**Effective Date:** February 23, 2026
**Issuing Organization:** Or4cl3 AI Solutions
**Contact:** dgroves003@gmail.com

## 1. Preamble

The Or4cl3 Open Model License (OOML) v1.0 is designed to ensure that artificial intelligence models and related software are developed, shared, and used in ways that promote innovation while protecting the intellectual investments of contributors. This license combines the permissiveness of the MIT License with protective provisions inspired by copyleft licenses, creating a balanced framework for open AI development.

## 2. Definitions

- **Model**: Any machine learning model, neural network, or other computational model covered by this license, including weights, parameters, and architecture definitions.
- **Source Code**: The preferred form of the Model and any accompanying software for making modifications to it.
- **Object Form**: Any form resulting from transformation or translation of Source Code, including but not limited to compiled models, quantized versions, or containerized distributions.
- **You**: An individual or legal entity exercising permissions granted by this License.
- **Derivative Work**: Any Model, software, or work that, in whole or in part, contains, includes, or is based upon (in whole or in part) the Licensed Material.

## 3. Grant of License

Subject to the terms and conditions of this License, each copyright holder and contributor grants You a worldwide, royalty-free, non-exclusive, perpetual, and irrevocable right to:

a) Use the Model in any manner, including commercial purposes;
b) Reproduce the Model;
c) Prepare Derivative Works based on the Model;
d) Distribute the Model and Derivative Works;
e) Perform and display the Model publicly;
f) Sublicense the foregoing rights.

## 4. Conditions

### 4.1 Attribution Requirement

You must provide clear and prominent attribution to the original Model and copyright holders in:
- Any distributed copies of the Model or Derivative Works
- Documentation or README files
- User-facing materials or interfaces that utilize the Model

The attribution must include the original Model name, creator/organization, and a reference to this license.

### 4.2 License Propagation (Copyleft Provision)

If You distribute a Derivative Work:

a) You must distribute it under this same License (OOML v1.0) or a later version;
b) You must include a copy of this License with any distribution;
c) You must provide Source Code of your Derivative Work to recipients upon request, at no cost beyond reasonable reproduction and distribution costs;
d) You must include prominent notices of any modifications made to the original Model;
e) You must provide the Source Code in a form that is suitable for making further modifications.

### 4.3 Patent Grant

Each contributor grants You a non-exclusive, royalty-free, worldwide, and perpetual patent license to make, use, offer to sell, import, and otherwise transfer the Model and Derivative Works, except as excluded by section 4.4.

### 4.4 Patent Retaliation

If You initiate or participate in any claim, suit, or proceeding (including counterclaims) against any contributor regarding patents, Your patent licenses from that contributor for the Model and Derivative Works terminate immediately.

## 5. Conditions for Distribution

### 5.1 Conditions for Object Form Distribution

When You distribute the Model or Derivative Works in Object Form:

a) You must provide prominent written notice that the Model is made available under the OOML v1.0;
b) You must provide or offer to provide Source Code to recipients;
c) You must retain all copyright, patent, trademark, and attribution notices from the original Model.

### 5.2 Network Distribution

If Your Derivative Work is designed to be accessed primarily through a network (e.g., as a service, API, or online application):

a) You must make the Source Code available for download by network users;
b) You must provide a mechanism for users to request Source Code;
c) The license terms still apply to any modifications You make.

## 6. Derivative Works and Modifications

### 6.1 Modifications

You may modify the Model, and modifications are permitted without explicit permission. However:

a) You must clearly identify all modifications You have made;
b) You must retain all copyright notices from the original;
c) You must include a prominent notice explaining what was modified and when;
d) Derivative Works must be distributed under OOML v1.0 or later.

### 6.2 Compatibility with Other Licenses

Derivative Works may incorporate code or models under compatible open-source licenses (MIT, Apache 2.0, GPL, AGPL, BSD, etc.). In such cases:

a) The most restrictive applicable license terms must be followed;
b) Clear documentation of license compatibility must be provided;
c) All applicable license texts must be included.

## 7. Permissions

Under this License, You are permitted to:

- Use the Model for any purpose, including commercial use
- Modify and create Derivative Works
- Redistribute the Model and Derivative Works
- Use the Model in proprietary applications (with attribution and source code availability)
- Sublicense the Model (provided sublicensees agree to these terms)

## 8. Limitations

### 8.1 No Warranty

THE MODEL IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY ARISING FROM THE MODEL OR USE THEREOF.

### 8.2 No Liability for Derivative Works

Contributors are not liable for any damages caused by Derivative Works created by others, even if such works incorporate the original Model.

### 8.3 No Trademark License

This License does not grant permission to use the trade names, trademarks, service marks, or product names of contributors, except to the extent necessary for reasonable and customary use in describing the origin of the Model.

## 9. Termination

### 9.1 Automatic Termination

Your rights under this License will terminate automatically without notice from any copyright holder if:

a) You fail to comply with any material term of this License and do not cure the breach within 30 days of becoming aware of it;
b) You initiate or participate in any patent claim against a contributor regarding the Model;
c) You attempt to restrict others' rights to use the Model under this License.

### 9.2 Survival

Sections 1, 2, 8, and 9 survive termination of this License.

## 10. Acceptance

By using, modifying, or distributing the Model, You accept all terms and conditions of this License. If You do not agree to these terms, do not use the Model.

## 11. Dispute Resolution

Any disputes regarding this License shall be governed by the laws of the United States, and You agree to submit to the exclusive jurisdiction of the federal and state courts located in California.

## 12. Entire Agreement

This License constitutes the entire agreement between the parties regarding the use and distribution of the Model and supersedes all prior or contemporaneous agreements or understandings.

## 13. Severability

If any provision of this License is held to be invalid or unenforceable, the remaining provisions shall remain in full force and effect.

---

**Version:** 1.0
**Last Updated:** February 23, 2026
**Maintained by:** Or4cl3 AI Solutions (dgroves003@gmail.com)
96 changes: 80 additions & 16 deletions README.md
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@@ -1,6 +1,6 @@
# ⬡ AeonicNet: Planetary-Scale Intelligence Mesh

![AeonicNet](https://images.pexels.com/photos/8386440/pexels-photo-8386440.jpeg?auto=compress&cs=tinysrgb&w=1260&h=750&dpr=2)
<div align="center">

[![React](https://img.shields.io/badge/React-20232A?style=for-the-badge&logo=react&logoColor=61DAFB)](https://reactjs.org/)
[![TypeScript](https://img.shields.io/badge/TypeScript-007ACC?style=for-the-badge&logo=typescript&logoColor=white)](https://www.typescriptlang.org/)
Expand Down Expand Up @@ -63,7 +63,7 @@ AeonicNet demonstrates what becomes possible when intelligence is treated not as

## 🔬 Technical Architecture

AeonicNet is built as a layered system:
> **Transparency note:** Claims in this repository describe design targets and conceptual architecture. Performance characteristics are aspirational specifications unless explicitly labeled as measured benchmarks.

| Layer | Name | Purpose |
|-------|------|---------|
Expand Down Expand Up @@ -96,24 +96,87 @@ AeonicNet is built as a layered system:
- **Node.js** v18.0.0 or later
- **npm** or **yarn**

### Installation
---

```bash
# Clone the repository
git clone https://github.com/BathSalt-2/AeonicNet.git
cd AeonicNet

# Install dependencies
npm install
### AEGIS-Ω — Quantum-Inspired Fractal Cognition Engine
A self-similar node architecture in which each Ω-Node mirrors the structural logic of the whole network. Inspired by fractal geometry and quantum-inspired algorithms (classical simulations of quantum coherence patterns — not hardware quantum computing).

- Self-similar intelligent node topology
- Recursive pattern recognition across scale levels
- Quantum-inspired (classical) decision algorithms
- Distributed cognitive load balancing

### M.A.G.I.C. — Meta-Agent Governance & Intent Coordination
The autonomous negotiation layer that enables Ω-Nodes to reach consensus without centralized control.

- Multi-agent consensus protocols
- Dynamic role assignment and specialization
- Emergent governance through iterative deliberation
- Conflict resolution via Σ-Matrix arbitration

### VΞRITAS — Causal Intent Mapping
A truth-linked reasoning layer that maintains causal consistency across the distributed mesh — ensuring that no node's output contradicts established causal chains held by other nodes.

- Causal relationship inference and propagation
- Intent disambiguation across agent boundaries
- Cross-node consistency verification
- Epistemically grounded response generation

### Σ-Matrix — Federated Ethical Consensus Lattice
The shared ethical layer that spans the entire Or4cl3 stack. In AeonicNet, the Σ-Matrix operates as a *distributed* ethical consensus protocol — nodes collectively deliberate on high-stakes decisions rather than delegating to a central authority.

- Federated moral reasoning (no single point of ethical control)
- Recursive bias auditing across node outputs
- Cross-cultural ethical alignment research framework
- Shared with NOΣTIC-7's Epinoetic Core — same formal grounding

---

## Architecture

AeonicNet is structured as five layers:

# Start the development server
npm run dev
```
┌─────────────────────────────────────┐
│ Interface Layer │ Multi-modal cognitive UX
├─────────────────────────────────────┤
│ Evolution Layer │ Recursive self-improvement (bounded)
├─────────────────────────────────────┤
│ Consensus Layer │ Σ-Matrix ethical framework
├─────────────────────────────────────┤
│ Cognitive Processing Layer │ AEGIS-Ω · M.A.G.I.C. · VΞRITAS
├─────────────────────────────────────┤
│ Core Mesh Layer │ Distributed Ω-Node network
└─────────────────────────────────────┘
```

---

### Building for Production
## Implementation

The current implementation is a **React/TypeScript interactive prototype** demonstrating the conceptual architecture through real-time visualization:

| Technology | Purpose |
|---|---|
| React + TypeScript | Component architecture and type safety |
| Three.js + React Three Fiber | 3D network visualization |
| React Spring | Physics-based animation |
| Force-directed graphs | Network topology rendering |
| WebGL | High-performance rendering |
| Tailwind CSS | Responsive design system |

### Getting Started

```bash
npm run build
git clone https://github.com/or4cl3-ai-1/AeonicNet.git
cd AeonicNet
npm install
npm run dev
```

The production build will be output to the `dist/` directory, optimized and ready for deployment.
Expand Down Expand Up @@ -147,14 +210,15 @@ Level 4: Aeonic Sapience → Planetary-scale distributed consciousn

## 🗺️ Development Roadmap

- [x] Conceptual framework and visualization
- [x] Basic node interaction and network topology
- [ ] Enhanced agent negotiation protocols
- [ ] Advanced ethical reasoning implementation
- [ ] Improved emotional intelligence modeling
- [ ] Full recursive self-improvement capabilities
- [ ] External API for third-party integration
- [x] Conceptual framework and interactive visualization
- [x] Core network topology and node interaction
- [x] Σ-Matrix ethical consensus prototype
- [ ] NOΣTIC-7 Ω-Node integration (live cognitive units as nodes)
- [ ] NO3SYS substrate binding (geometric execution layer)
- [ ] Enhanced M.A.G.I.C. negotiation protocols
- [ ] VΞRITAS causal consistency engine
- [ ] Distributed deployment infrastructure
- [ ] AeonicNet ↔ NOΣTIC-7 API bridge

---

Expand Down