by WangQrkkk · Agent Tool · ★ 251
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PaperQuay English | Chinese An open-source AI paper workspace for PDF reading, translation, structured overviews, inline notes, Zotero import, Agent workflows, and local RAG. Quick Navigation | Why PaperQuay | Features | Quick Start | Development <img src="./docs/assets/read
| Stars | 251 |
| Forks | 28 |
| Language | TypeScript |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 58.8821883543838/100 |
| Open Issues | 10 |
| Last Updated | 2026-07-09 |
| Created | 2026-04-27 |
| Platforms | node |
| Est. Tokens | ~19k |
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PaperQuay is A desktop-first literature manager for PDF reading, translation, paper overviews, and AI agent workflows.. It is categorized as a Agent Tool with 251 GitHub stars.
PaperQuay is primarily written in TypeScript. It covers topics such as agent, ai-tools, desktop-app.
You can find installation instructions and usage details in the PaperQuay GitHub repository at github.com/WangQrkkk/PaperQuay. The project has 251 stars and 28 forks, indicating an active community.
PaperQuay is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to PaperQuay on Agent Skills Hub include mcp-gearbox, lovcode, repo-wizard. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.