Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents with minimal human input.
Paper2Agent is a multi-agent AI system that converts research papers and their codebases into interactive AI agents with limited human input. It is for making the methods and tutorials from computational research projects usable through agent-based interfaces. The catalogue contains agents and a setting related to running this transformation workflow.
These files are jmiao24/Paper2Agent's own configuration. They tell Claude Code how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.
.claude/settings.json A — .claude/agents/environment-python-manager.md A 344 tok .claude/agents/test-verifier-improver.md A 265 tok .claude/agents/tutorial-scanner.md A 262 tok .claude/agents/tutorial-tool-extractor-implementor.md A 269 tok