NNScholar serves as a cutting-edge AI-driven academic research platform tailored for graduate students, faculty, and research groups. This online workspace enables users to efficiently discover and screen literature, manage paper libraries, read PDFs, answer questions, translate content, organize evidence, and strategize their research. Users have the ability to explore scholarly databases, filter through and save potential papers, sort references and PDFs, and review notes grounded in their sources. The platform also includes document-writing tools that assist in drafting or revising manuscripts and DOCX files, aligning with journal formatting requirements, posing inquiries about drafts, and ensuring proper citation and consistency. Furthermore, research agents, specialized skills, browser capabilities, and optional plugins enhance workflows related to study design, data analysis, and preparation for journal submissions. Users can start with free sign-up credits, while paid plans provide additional usage credits for more extensive access. Although native desktop applications for macOS and Windows are not yet available, the browser-based workspace offers immediate functionality for researchers. As academic needs evolve, this platform is likely to adapt and expand its features to better serve its users.