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Organize, analyze, and retrieve research papers efficiently with a local-first assistant.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "paper-intelligence" yet — see the docs or source repo.
Help me create a clear classification system for my local paper library, organized by topic, method, year, and author, and suggest useful tag fields.
A paper-management taxonomy, recommended tags, and an organization plan.
Based on my saved papers, summarize the main directions, common methods, representative papers, and research gaps in multimodal large model evaluation.
A structured overview of the topic with key themes and important paper references.
Find the papers in my local database most relevant to applications of causal inference in medical prediction, and list title, authors, year, and a one-sentence summary by relevance.
A relevance-ranked list of papers with brief summaries for quick review.
Convert research PDFs to Markdown and search them with grep plus semantics.
Search, analyze, sync, and distribute academic papers across multiple sources.
Search arXiv papers and retrieve full content in Markdown for analysis.
Analyze local paper PDFs rigorously and generate editable maps and research insights.
Search arXiv papers, parse PDFs, and extract key research findings
Search, download, and extract academic papers from many sources in one workflow.