@DanKornas: If you’re trying to follow AI agents for research, the hard part is not one paper — it’s the whole lifecycle. Awesome A…
Summary
A curated GitHub resource that maps AI-assisted scientific research tools and papers across the full research lifecycle, from idea generation to dissemination.
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If you’re trying to follow AI agents for research, the hard part is not one paper — it’s the whole lifecycle.
Awesome AI Auto-Research is a curated GitHub resource and companion repo for researchers and builders tracking AI-assisted scientific research.
It helps you map the space by organizing papers and tools around the research workflow: idea generation, literature review, coding experiments, figures, writing, peer review, rebuttal, and dissemination.
Key features: • Lifecycle map – frames auto-research as four phases and eight stages • Paper tables – lists models/tools with paper, venue, website, and GitHub columns • Creation coverage – includes ideation, literature search, coding, experiments, tables, and figures • Validation coverage – tracks peer review, rebuttal/revision, quality, bias, and policy work • Systems section – separates end-to-end systems, domain-specific systems, self-improving systems, and infrastructure
It’s open-source (MIT license).
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