Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents.
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.
Skill Codex
Convert research papers and associated files, research code, or both into a reviewed paper skill and tested MCP server. Use for paper-only, code-only, or combined conversions and resumes.
Skill Claude CodeCodex
Read and answer questions about the final Paper2Agent manuscript, its supplementary information, figures, and tables.
Skill Codex
Convert Python, R, or command-line research repositories into tested MCP tools through useful tool selection, minimal wrappers around existing code, parallel specialists, and independent verification. Use for repository-to-MCP conversions and resumes; requires a host with agent spawning.
Skill Claude CodeCodex
Convert research PDFs, supplementary PDFs, spreadsheets, tables, and figures into a compact agent-readable paper skill with source review and verification.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: