
Scholar-Agent
Automate Literature Benchmarking & SOTA Metric Extraction
What it does
Struggling with manual literature reviews? Spending hours digging through 50-page PDFs just to find a single RMSE or ATE value? 😫 Meet Scholar-Agent, your autonomous research partner designed to bridge the gap between massive paper databases and your local experimental data. Built on a robust LangGraph architecture and powered by Docling’s high-precision PDF parsing, Scholar-Agent transforms how you do academic benchmarking. https://github.com/hxcm-cre/scholar-agent
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After waiting 8 months for a journal response or two months for co-author feedback that consisted of "looks good" and a single comma change, we built an AI-powered peer review system that helps researchers improve their manuscripts rapidly before submission. The system uses multiple specialized agents to analyze different aspects of scientific papers, from methodology to writing quality. Key features: 24 specialized agents analyzing sections, scientific rigor, and writing quality // Detailed feedback with actionable recommendations. // PDF report generation. //…
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