Paper2Agent turns research papers into interactive AI agents, Nature paper shows
james_y_zou · x · 2026-09-29
A Nature paper from James Zou's Stanford team introduces Paper2Agent, an automated framework that converts research papers into interactive AI agents functioning as a "virtual corresponding author."
- Traditional papers are static artifacts; readers must adapt code, data and methods themselves, creating reuse barriers.
- Paper2Agent uses multiple agents to analyze a paper and its codebase, then builds an MCP server exposing the manuscript, supplementary materials, datasets, code and workflows as agent-native knowledge.
- It also generates and runs tests to refine and increase the agent's robustness.
- Published September 16, 2026, open access, with 185k accesses already.
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