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PaperClip is a local “second brain” for AI researchers and engineers who work with papers and technical materials in machine learning, computer vision, and NLP.
Use PaperClip to save important takeaways from research papers, ML blogs, news, and technical reviews. Clip what matters—snippets, formulas, conclusions, and insights—and organize it into reusable knowledge bits you can return to later.
Everything you save is indexed on your device, so you can quickly find the right paper, experiment result, or quote with simple search. This helps you keep track of valuable ideas and maintain an ongoing literature review without losing context.
PaperClip runs on-device: your data is stored and processed on your computer, without external APIs or sending content to a server. Local indexing also enables offline search, so you can browse and search your notes without an internet connection—useful when traveling or working with unstable connectivity.