palman22-hue/Emergent-Attractor-Framework: EAF v.1.2.0

This release turns the EAF from a static concept into a live 3D experimental lab for alignment and entropy research. What's new Interactive Streamlit UI with real‑time simulation controls (agents, dimensions, timesteps, random seed, scenario presets). Live 3D visualization of attractor dynamics using PCA: orbit, zoom and scrub through timesteps to inspect agent trajectories. Entropy‑over‑time plot to track how different scenarios converge, stabilize or destabilize under changing parameters. Scenario presets (e.g. "Compassion" runs) to quickly compare behavioral basins without touching the code. Installation Clone the repo and install dependencies with pip install -r requirements.txt. Start the lab with streamlit run app.py and open the local URL in your browser. Intended use Rapid exploration of emergent alignment behavior in multi‑agent systems. Visual intuition‑building for researchers working on AI alignment, entropy minimization and attractor‑based ethics. More detailed docs and example experiments will follow in upcoming releases.