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Reimagining research papers as interactive and reliable AI agents

Research LLM Agents

Ranking

Overall 91
Content 100
Popularity 71

Observed public metrics from 1 member.

Merged summary

TL;DR - Paper2Agent converts research papers and their associated code and data into interactive, tool-using AI agents. This could make published work easier to reproduce, query and extend through agent-driven scientific collaboration.

  • Uses the Model Context Protocol to expose research artifacts as callable tools.
  • Incorporates manuscripts, code and data into the agent’s context.
  • Aims to reproduce original results and answer new scientific questions.
  • Supports collaboration between paper-derived agents to generate novel insights.

Sources (1)

Reimagining research papers as interactive and reliable AI agents

Nature Jiacheng Miao, Joe R. Davis, Yaohui Zhang, Jonathan K. Pritchard, James Zou 2026-09-16 doi:10.1038/s41586-026-11044-y
Public signals OpenAlex citations 2
Providers: Hugging Face · N/A OpenAlex · Citations 2 Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-25 14:19:03.478299 UTC

TL;DR - Paper2Agent converts research papers and their associated code and data into interactive, tool-using AI agents. This could make published work easier to reproduce, query and extend through agent-driven scientific collaboration.

  • Uses the Model Context Protocol to expose research artifacts as callable tools.
  • Incorporates manuscripts, code and data into the agent’s context.
  • Aims to reproduce original results and answer new scientific questions.
  • Supports collaboration between paper-derived agents to generate novel insights.
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