Mnemosyne: The First Entropy-Aware AI

Mnemosyne is the first AI prototype to track its own memory collapse, entropy evolution, and phase deformation using the Lawrence Equation — a novel framework for quantum-coherent information dynamics.

Built with Streamlit, this open-source app allows users to:

• Visualize entropy collapse over time
• Observe dynamic identity drift
• Tune Lawrence parameters (α, γ)
• Monitor memory vector degradation
• Test self-referential cognition in quantum evolution

Live Demo

▶ Try the App

How It Works

• α(t) controls phase deformation (unitary twisting)
• γ(t) controls entropy collapse (decoherence strength)
• Identity vector is tracked in real-time as feedback loops evolve through quantum memory layers

• Project by MnemosyneAI

Copyright © 2025
MIT License {Patent Status:} U.S. Provisional Patent Filed – Application No. 63/XXXXXX, April 8, 2025. \ Patent-Pending protection applies under U.S. Law (35 U.S.C. 111(b)).

Installation

git clone https://github.com/mitchsmith513/mnemosyne-ai.git
cd mnemosyne-ai
pip install -r requirements.txt
streamlit run mnemosyne_streamlit_app.py