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    HKUDS

    HKUDS/AI-Researcher

    [NeurIPS2025] "AI-Researcher: Autonomous Scientific Innovation" -- A production-ready version: https://novix.science/chat

    backend
    ai-researcher
    Python
    5.9K stars
    730 forks
    5.9K GitHub watchers
    Updated Nov 1, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 4 contributors on GitHub.

    Peaked at #12 in the weekly ranking the week of Sep 21, its best in the past year.

    Use Cases & Benefits

    • Implements an autonomous AI system that automates the entire scientific research process from idea generation to manuscript creation.
    • Enables end-to-end research automation integrating literature review, idea formulation, algorithm design, validation, and paper writing in a seamless workflow.
    • Use for accelerating novel scientific discovery by generating and implementing research ideas based on user-provided detailed descriptions.
    • Use for deriving innovative research concepts and implementations from reference papers without predefined ideas, supporting exploratory research.
    • Use for automating academic manuscript production including data analysis and result interpretation to streamline publication preparation.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    No license detected

    No license file detected by GitHub: unless the project grants one elsewhere, the default is all rights reserved.

    Community files

    • README: present

    Watch-outs

    • Warning: No license file detected by GitHub: unless the project grants one elsewhere, you generally have no permission to use, modify or distribute the code.
    • Warning: No commits in over a year (last push Oct 2025).
    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Welcome to AI-Researcher🤗 AI-Researcher introduces a revolutionary breakthrough in Automated Scientific Discovery🔬, presenting a new system that fundamentally Reshapes the Traditional Research Paradigm. This state-of-the-art platform empowers researchers with:

    ✨ The AI-Researcher system accepts user input queries at two distinct levels ✨

    At this level, users provide comprehensive descriptions of their specific research ideas. The system processes these detailed inputs to develop implementation strategies based on the user's explicit requirements.

    This simpler level involves users submitting reference papers without a specific idea in mind. The user query typically follows the format: "I have some reference papers, please come up with an innovative idea and implement it with these papers." The system then analyzes the provided references to generate and develop novel research concepts.

    🌟Core Capabilities & Integration AI-Researcher delivers a Comprehensive Research Ecosystem through seamless integration of critical components:

    🚀Primary Research Functions

    Quick Overview of AI-Researcher.

    🤝 Join Us! We welcome researchers, developers, and AI enthusiasts to contribute together and advance AI research development. Whether it's code contributions, bug reports, feature suggestions, or documentation improvements, every contribution is valuable!

    💡 Let's build a smarter AI research assistant together!

    Excerpt from the HKUDS/AI-Researcher README on GitHub. © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    730+9

    Open issues

    68+1

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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