Last commit on June 24, 2026·Created on April 8, 2026
Agents365-ai/paper-fetch
“Resolves a paper title or DOI to a PDF through seven sources.”
Combined rank
#451
across all skills
In Research
#27
category rank
Stars
168
+2.4% in last 7d
Forks
10
+11.1% in last 7d
Watchers
0
0 watchers in last 7d
Traction scoreGitHub stars can be faked, so popularity alone can be misleading. Traction Score looks for broader signs of real attention, adoption, and active maintenance.
Paper-fetch takes a DOI, an arXiv ID, or a paper title and walks a priority chain of open-access and institutional sources until it finds the PDF. It helps researchers, literature reviewers, and AI agents who need reliable paper access without manually hunting across Unpaywall, Semantic Scholar, arXiv, PubMed Central, bioRxiv, publisher sites, and Sci-Hub mirrors. A dedicated institutional mode adds a rate-limited publisher-direct fallback for subscribers.
WHO IT'S FOR
Researchers and academics
download papers from DOIs or titles
AI agent power users
fetch papers automatically through AI assistants
Institutional research support staff
provide paper access for patrons using subscriptions