{"repo":"vanthree31/PaperLens","free":true,"listed":false,"github":"https://github.com/vanthree31/PaperLens","clone":"git clone https://github.com/vanthree31/PaperLens.git","description":"AI-Powered Research Assistant for Academic Paper Discovery, Analysis, and Citation Intelligence","language":"Python","stars":165,"topics":["academic-search","ai-research","literature-review-tool","openalex","paper-search","pubmed","research-tools","academic-paper","ai-analysis","citation-network"],"license":null,"category":"api-integrations-sdks","readme_excerpt":"中文 English PaperLens Your AI Research Copilot Stop searching papers. Start understanding research. --- What is PaperLens? PaperLens is an AI research copilot that turns the messy, fragmented process of academic literature work into a single, coherent workflow. It's like Cursor, but for research papers . Most researchers spend their days bouncing between Google Scholar, arXiv, PDF readers, and half a dozen browser tabs. PaperLens replaces all of that with one tool: - 43 academic databases searched in parallel, including PubMed, Scopus, ScienceDirect, arXiv, CNKI, and more - 300+ Chinese universities accessible via CARSI — no VPN needed for ScienceDirect, Scopus, JSTOR from anywhere - 100% local-first — all data stays on your machine. Runs fully offline with Ollama. No account required. --- Demo Search & Discover Paper List AI Deep Analysis :---: :---: :---: Multi-Paper Compare Citation Graph :---: :---: --- Why PaperLens? The researcher's daily workflow (before PaperLens) Google Scholar → arXiv → open PDF → not what I need → keep searching → open more tabs → 20 tabs later, still no clarity. With PaperLens Describe your research question in natural language. PaperLens searches 43 databases at once , ranks results by relevance, and lets you: - Read a paper in 2 minutes instead of 30 — AI extracts what matters: method, innovation, strengths, weaknesses, future directions - Find the right paper in seconds, not hours — AI understands your research intent, not just keyword matching ","default_branch":null,"files":null,"tree":[],"storefront":"/r/vanthree31","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/vanthree31/PaperLens/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}