WangQrkkk

WangQrkkk / PaperQuay

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A desktop-first literature manager for PDF reading, translation, paper overviews, and AI agent workflows.

15
1
100% credibility
Found Apr 29, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

PaperQuay is a desktop app that helps researchers manage PDFs by importing, organizing, reading, translating, summarizing, and using AI agents for batch tasks.

How It Works

1
📱 Download and open PaperQuay

You grab the app from the website and launch it on your computer, ready to organize your research papers.

2
📂 Pick a folder for your papers

Choose a spot on your computer to store all your PDFs safely in one place.

3
📥 Drag in your PDFs

Drop your research papers into the app, review details like title and authors, then watch them neatly added to your library.

4
📚 Sort into collections

Group papers into folders like 'To Read' or 'Methods', add tags, and mark favorites for quick access.

5
🤖 Unlock AI helpers

Connect smart tools to translate text instantly, summarize key ideas, or let an agent rename and tag batches effortlessly.

6
🔍 Read and explore

Open a paper to read with highlights, jump between original and translated sections, and jot notes right there.

Master your research

Your papers are organized, translated, and summarized—now dive deep into studies without the hassle.

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Star Growth

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AI-Generated Review

What is PaperQuay?

PaperQuay is a desktop-first literature manager built with Tauri, React, and TypeScript that handles PDF reading, translation, paper overviews, and AI agent workflows in one local-first app. It imports PDFs into a SQLite-backed library, parses them into structured blocks for seamless reading, and generates AI summaries or translations on demand. Users get Zotero import support without lock-in, keeping everything offline except optional API calls.

Why is it gaining traction?

It unifies fragmented tools—PDF viewers, translators, summarizers, and managers—into a single workspace that maintains reading flow with instant block translations and geometric PDF-block linking. The AI agent stands out for batch tasks like renaming, tagging, or classifying papers via reviewable plans, using any OpenAI-compatible endpoint. Early adopters praise the MinerU integration for fast paper screening via structured overviews.

Who should use this?

Researchers screening dozens of PDFs daily, students translating non-English papers, or academics managing Zotero libraries who hate app-switching. It's for those building local workflows around literature management, especially with AI agents for metadata cleanup or categorization.

Verdict

Try PaperQuay if you need a solid local literature manager; its thoughtful UX shines despite 15 stars and 1.0% credibility signaling early maturity. Docs are clear with demos, but expect to configure APIs yourself—great foundation for power users, watch for stability updates.

(198 words)

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