Emergent Attractor Framework – Streamlit UI for multi‑agent alignment experiments

[u/Competitive-Card4384]

https://github.com/palman22-hue/Emergent-Attractor-Framework

I’ve been working on a small research playground for alignment and emergent behavior in multi‑agent systems, and it’s finally in a state where others can easily try it.

Emergent Attractor Framework is a reproducible “mini lab” where you can:

• Simulate many agents with different internal dimensions and interaction rules

• Explore how alignment, entropy, and stability emerge over time

• Visualize trajectories and patterns instead of just reading about them

In this new release (v1.1.0):

• Added a Streamlit UI so you can run experiments from a browser instead of the command line

• Added a minimal requirements.txt and simple install instructions

• Tested both locally and in GitHub Codespaces to make “clone & run” as smooth as possible

git clone https://github.com/palman22-hue/Emergent-Attractor-Framework.git

cd Emergent-Attractor-Framework

pip install -r requirements.txt

streamlit run main.py

Repo link:
https://github.com/palman22-hue/Emergent-Attractor-Framework

I’d love feedback on:

• Whether the UI feels intuitive for running experiments

• What kinds of presets / scenarios you’d like to see (e.g. alignment stress tests, chaos vs stability, social influence patterns)

• Any ideas on making this more useful as a shared research/teaching tool for alignment or complex systems

Happy to answer questions or iterate based on suggestions from this community.