Live-Evo Project Website

This is the official project website for Live-Evo: Online Evolution of Agentic Memory from Continuous Feedback.

Overview

Live-Evo is an online self-evolving memory system that learns from a stream of incoming data over time. It decouples what happened from how to use it via an Experience Bank and a Meta-Guideline Bank, compiling task-adaptive guidelines from retrieved experiences for each task.

Key Results

• 20.8% improvement in Brier Score
• 12.9% increase in market returns
• Evaluated on Prophet Arena benchmark over a 10-week horizon

Website Structure

live-evo-website/
├── index.html          # Main HTML page
├── style.css           # CSS styling
├── script.js           # Interactive demo functionality
├── assets/
│   └── images/         # Figures and diagrams
│       ├── fig2public.png
│       ├── cumulative_portfolio_value.png
│       ├── brier_score_comparison.png
│       └── case_study.png
└── README.md

Sections

1. Our Framework - Explains the four-stage evolutionary loop: Retrieve, Compile, Act, Update
2. Why Live-Evo - Compares traditional vs. continuous memory evolution approaches
3. Performance - Shows benchmark results and comparisons
4. Live Demo - Interactive walkthrough of the pipeline

Deployment

GitHub Pages

1. Push this repository to GitHub
2. Go to repository Settings > Pages
3. Select "Deploy from a branch" and choose main branch
4. Your site will be available at https://<username>.github.io/<repo-name>/

Local Development

Simply open index.html in a web browser, or use a local server:

# Using Python
python -m http.server 8000

# Using Node.js
npx serve .

Citation

@article{zhang2025liveevo,
  title={Live-Evo: Online Evolution of Agentic Memory from Continuous Feedback},
  author={Zhang, Yaolun and Wu, Yiran and Yu, Yijiong and Wu, Qingyun and Wang, Huazheng},
  journal={arXiv preprint arXiv:2501.xxxxx},
  year={2025}
}

Links

• Paper
• Code Repository
• AG2 AI

License

This project is part of AG2 AI research.