NNScholar is an AI research workspace built for the full arc of scholarly work, from literature discovery and PDF reading to evidence tracking, academic writing, and submission preparation. Instead of juggling scattered tools, it keeps your papers, notes, conversations, evidence, tasks, and drafts organized together inside research projects, so everything you need stays in one place.
You can search scholarly sources, import references, and screen papers with AI assistance to cut through the tedium of early-stage research. When it is time to read deeply, you can chat with PDFs to ask questions and surface key points, and trace claims back to their sources so your arguments rest on verifiable evidence.
To move projects forward, NNScholar offers research agents and academic skills that support your work at each stage, whether you are reviewing literature, drafting a manuscript, or preparing a submission. WebUse is available directly in a browser, and the website describes Desktop as an option for long-running research projects; note that its pricing page currently indicates macOS and Windows downloads are unavailable.

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