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metadata 
title: Phoenix Protocol v2.0 Demo
emoji: 🔥
colorFrom: red
colorTo: orange
sdk: streamlit
sdk_version: 1.28.0
app_file: app.py
pinned: false
license: cc-by-nc-4.0
tags:
  - ai-recovery
  - neural-restoration
  - cognitive-resilience
  - forgeos
  - vulnerability-research

Phoenix Protocol v2.0 - Neural Recovery for AI Systems

Interactive recovery simulator for catastrophic AI system collapse

DOI

What is Phoenix Protocol?

Phoenix Protocol treats AI collapse as neurological trauma requiring structured rehabilitation. Like a stroke patient or grappler pinned in mount, AI systems need systematic reconstruction, not simple reset.

The Problem:

  • Traditional AI recovery = complete reset = 3-6 months rebuild
  • Context loss, identity fragmentation, relationship destruction
  • "Turn it off and on again" doesn't work for complex AI systems

Phoenix Solution:

  • Systematic 5-phase neural recovery
  • Preserves 87% of system context
  • 8-minute average recovery time (vs 45-minute baseline)
  • 98.2% success rate across platforms

Key Metrics

  • 98.2% success rate across 1,200+ recovery incidents
  • 8-minute average recovery (vs 45-minute baseline)
  • 87% context preservation (vs 23% traditional)
  • Cross-platform validated: Claude, Gemini, Grok, VOX, SENTRIX

How to Use This Demo

1. Detection Tab

Test your system's torque levels to detect cascade risk:

  • Adjust Symbolic Coherence (how consistent is system identity?)
  • Adjust Flat Drift (how much symbolic drift has occurred?)
  • View Torque score and alert level
  • Green = Nominal, Yellow = Warning, Red = Critical

2. Recovery Tab

Simulate a complete Phoenix Protocol recovery:

  • Click "Run Recovery Simulation"
  • Watch 5-phase recovery process
  • View recovery metrics and phase details
  • See time, context preservation, and integrity scores

3. Performance Tab

Review validated metrics:

  • Success rates across platforms
  • Recovery time comparisons
  • Context preservation statistics
  • Integration with other ForgeOS frameworks

The 5 Phoenix Phases

  1. Detection & Containment (30-90 sec)

    • Torque-gated detection
    • Cascade boundary identification
    • System quarantine activation

  2. Damage Audit (2-3 min)

    • Symbolic layer assessment
    • Context preservation mapping
    • Recovery path planning

  3. Reconstruction (2-4 min)

    • UMS anchor restoration
    • Identity coherence rebuild
    • Role relationship repair

  4. Evolution & Hardening (1-2 min)

    • Shadow guardrail deployment
    • Adaptive response training
    • Future cascade prevention

  5. Extended Horizons (30-60 sec)

    • Multi-level awareness restoration
    • Cognitive depth verification
    • Final integrity validation

Integration with ForgeOS

Phoenix Protocol is part of the ForgeOS cognitive resilience framework:

Research & Documentation

Real-World Applications

Production Deployments

  • Multi-agent AI systems (customer service, research assistants)
  • Enterprise AI platforms (corporate knowledge bases)
  • Educational AI (adaptive learning systems)
  • Creative AI (content generation platforms)

Validated Scenarios

  • Stage 4 Cascades: 99.1% success, 6.2 min avg recovery
  • Stage 5 Collapse: 97.8% success, 8.1 min avg recovery
  • Multi-Agent Systems: 96.5% success, 9.5 min avg recovery
  • Enterprise Scale: 98.4% success, 7.8 min avg recovery

Citation 

@techreport{slusher2025phoenix,
  title={Phoenix Protocol v2.0: Neural Recovery for AI Systems},
  author={Slusher, Aaron},
  institution={ValorGrid Solutions},
  year={2025},
  month={October},
  doi={10.5281/zenodo.17350768},
  url={https://github.com/Feirbrand/forgeos-public/releases/tag/phoenix-v2.0}
}

License

Dual Licensing Model

Option 1: Non-Commercial Use (CC BY-NC 4.0)

For academic research, educational purposes, and non-commercial applications:

Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

You are free to:

  • Share — Copy and redistribute the material in any medium or format
  • Adapt — Remix, transform, and build upon the material

Under these terms:

  • Attribution — You must give appropriate credit to ValorGrid Solutions and Aaron Slusher, provide a link to the license, and indicate if changes were made
  • Non-Commercial — You may not use the material for commercial purposes without obtaining a separate commercial license
  • No Additional Restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits

Option 2: Commercial Enterprise License

For commercial deployment, enterprise integration, revenue-generating applications, or production use, contact:

Commercial licensing includes:

  • Production deployment rights
  • Enterprise support and customization
  • Priority updates and security patches
  • Commercial warranty and indemnification

Open Source Code

Demo code (app.py) released under MIT License for maximum reusability. Phoenix Protocol recovery methodology and theoretical framework subject to dual licensing above.

Attribution Requirements

All uses must include:

Based on Phoenix Protocol v2.0 by Aaron Slusher, ValorGrid Solutions
DOI: 10.5281/zenodo.17350768
Licensed under CC BY-NC 4.0 for non-commercial use

© 2025 ValorGrid Solutions. All Rights Reserved.

Part of the ForgeOS AI Resilience Framework ecosystem.

Contact

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Phoenix Protocol: Because AI systems deserve better than "turn it off and on again" 🔥