Turning scientific research papers into interactive AI agents

TL;DR - Paper2Agent is an automated framework that converts static scientific papers into interactive AI agents capable of answering questions and applying published methods to new data. It could make research more reproducible, reusable, and extensible.

• Each agent acts as a “virtual corresponding author” for its source paper.
• Agents can explain the paper and operationalize its methods on new datasets.
• Multiple paper agents can collaborate, enabling research workflows that combine knowledge and methods across publications.
• The framework shifts scientific literature from passive documents toward executable, interactive resources.