ThinkReader ThinkReader contributors

ThinkReader is an agentic app for paper research. Your agents read alongside you and leave comments on the original PDF, so you can follow an idea back to its evidence without giving up control of what the paper really says. The knowledge you build together can support summaries, reports, mind maps, slides, and reproduction projects—all grounded in the source. Why ThinkReader? One kind of agentic paper reading turns papers into fast-food summaries; another floods the page with untraceable AI-generated information. ThinkReader is neither: it keeps the original PDF, your judgment, and the agent's work in one place. It lets you open the paper, read it quickly but deeply, and turn what you learn into high-quality outputs. Only making the paper your own understanding can truly move your research forward. How it works A paper odyssey: you upload a paper to a Library; MinerU builds semantic and layout resources, while the original PDF always remains the reading surface. Then you, the paper canvas, and agents build understanding around the evidence together. That understanding can become a report, wiki, slides, mind map, or reproduction starting point—and always remains traceable to the paper. Features - Read in flow. Agent annotations stream onto the PDF canvas without interrupting your reading. - Multi-agent collaboration. Give agents distinct roles, work together in a Channel, and carry the conversation across reading and writing. - Intelligent layout. Read in one to three columns and arrange the page around your needs; agents understand the original layout, making paper-grounded conversation effortless. - Read once, reuse everywhere. Carry everything you understand while reading into summaries, reports, slides, mind maps, and reproduction projects. - Find what's next. Compile knowledge across papers into a research network and find the next question worth exploring.