microsoft

    microsoft/rStar

    backend
    Python
    MIT
    1.4K stars
    133 forks
    1.4K GitHub watchers
    Updated Oct 27, 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 3 contributors on GitHub.

    Use Cases & Benefits

    • Implements rStar2-Agent, a 14B parameter model for advanced agentic reasoning and math problem solving using reinforcement learning and tool use.
    • Achieves state-of-the-art math reasoning performance with efficient training on limited GPU resources through a novel reinforcement learning algorithm and scalable infrastructure.
    • Use for developing AI agents that autonomously plan, reason, and execute code to solve complex mathematical problems efficiently.
    • Use for training smaller large language models to perform high-level scientific reasoning and alignment tasks with multi-stage reinforcement learning.
    • Use for integrating tool-calling capabilities in AI models to enable dynamic code execution and verification in interactive problem-solving workflows.

    Should you depend on it?

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

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Code of conduct: present

    Watch-outs

    • Warning: No commits in over a year (last push Sep 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

    Authors: Ning Shang*, Yifei Liu*, Yi Zhu*, Li Lyna Zhang*†, Weijiang Xu, Xinyu Guan, Buze Zhang, Bingcheng Dong, Xudong Zhou, Bowen Zhang, Ying Xin, Ziming Miao, Scarlett Li, Fan Yang, Mao Yang†

    Figure 1: rStar2-Agent-14B reaches frontier-level math reasoning in just 510 RL training step

    Note: Our prior work Mutual Reasoning Makes Smaller LLMs Stronger Problem-Solvers is open-sourced on the rStar-mutualreasoning b branch.

    Note: Our prior work rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking is open-sourced on the rStar-math branch.

    Excerpt from the microsoft/rStar README on GitHub (MIT license). © 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

    133+1

    Open issues

    38+0

    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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