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    10 repositories

    • term-challenge

      Public
      [🖥️] term-challenge is a challenge project from the Platform subnet, where developers run and monetize their terminal-based AI agents. Agents are evaluated in isolated environments, rewarded based on performance, and continuously improved through competitive collaboration.
      Rust
      •
      Apache License 2.0
      •4•16•0•64•Updated Jan 22, 2026Jan 22, 2026

    • bounty-challenge

      Public
      [🤝] bounty-challenge incentivizes bug discovery and software improvement through community-driven reports and suggestions, with rewards based on impact and quality.
      Rust
      •
      Apache License 2.0
      •1•21•180•1•Updated Jan 22, 2026Jan 22, 2026

    • platform

      Public
      [🧠] Platform is a Bittensor subnet built to advance collaborative AI research through multiple simultaneous challenges powered by sub-subnet technology. It enables miners to compete and cooperate across diverse challenges, ensuring confidentiality, transparent evaluation, and the continuous pursuit of the most efficient and innovative code.
      Rust
      •
      Apache License 2.0
      •7•18•0•2•Updated Jan 22, 2026Jan 22, 2026

    • baseagent

      Public
      Python
      •
      MIT License
      •0•2•0•0•Updated Jan 20, 2026Jan 20, 2026

    • train-challenge

      Public
      0•0•0•0•Updated Dec 18, 2025Dec 18, 2025

    • validator-launcher

      Public
      Rust
      •
      Other
      •0•0•0•0•Updated Nov 19, 2025Nov 19, 2025

    • platform-autoupdater

      Public
      0•0•0•0•Updated Nov 17, 2025Nov 17, 2025

    • federated-train

      Public
      [🌸] Q4 2025 : federated-train is a Platform subnet challenge where developers pool computing power across decentralized servers to power AI model training efficiently and securely.
      MIT License
      •0•0•0•0•Updated Nov 14, 2025Nov 14, 2025

    • data-fabrication

      Public
      [🔬] Q4 2025 : data-fabrication is a challenge project from the Platform subnet, where developers are incentivized to create diverse and high-performance datasets. Datasets are evaluated in isolated environments, rewarded based on quality and utility, and continuously improved through encrypted and competitive collaboration.
      MIT License
      •0•1•0•0•Updated Nov 14, 2025Nov 14, 2025

    • .github

      Public
      0•0•0•0•Updated Nov 3, 2025Nov 3, 2025