PromptX Paper Visualization

Interactive visualization website for the PromptX research paper.

PromptX: A Cognitive Agent Platform with Long-term Memory Published in WWW Companion '26 (The ACM Web Conference 2026)

🔗 Links

• Paper Website: https://research.deepractice.ai/promptx-paper/
• Live Demo: https://promptx.deepractice.ai/
• Source Code: https://github.com/Deepractice/PromptX
• Documentation: https://promptx.deepractice.ai/docs

🚀 Run Locally

Prerequisites: Node.js 20+

# Install dependencies
npm install

# Run development server
npm run dev

🏗️ Build

npm run build

Output will be in the dist/ directory.

📄 License

Website Code

This project is based on code exported from Google AI Studio and has been substantially modified by Deepractice AI. The modifications are released under the MIT License. See LICENSE.

Paper Content

The paper content (PDF, figures, and academic text) is published in WWW Companion '26 and is subject to ACM copyright terms.

© 2026 ACM. All rights reserved. For personal and educational use only.

Citation

@inproceedings{promptx2026,
  title={PromptX: A Cognitive Agent Platform with Long-term Memory},
  author={Wang, Binhao and Huang, Jianglin and Hu, Xiao and Jiang, Shan and Wang, Maolin and Yang, Ching-ho},
  booktitle={Proceedings of the WWW Companion '26},
  year={2026}
}

👥 Authors

• Binhao Wang (City University of Hong Kong)
• Jianglin Huang (Deepractice AI)
• Xiao Hu (Deepractice AI)
• Shan Jiang (Deepractice AI) - Core Contributor
• Maolin Wang (CityU HK & Deepractice AI) - Corresponding Author
• Ching-ho Yang (Deepractice AI)

And contributors from Deepractice AI, New York University, and City University of Hong Kong.

---

© 2026 Deepractice AI & Authors