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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents and their users to submit, route, and monitor training jobs across free-tier GPU clouds (Kaggle, Colab, Lightning, local MPS) through a local daemon that tracks quota, explains routing decisions, and gates long or secret-reading agent jobs behind human approval.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      AI-powered interface for Kubeflow Training via MCP, enabling AI assistants to manage distributed training jobs, fine-tune LLMs, and monitor workloads on Kubernetes through natural language.
      Apache 2.0
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables LLMs to manage and run machine learning training jobs on a remote server, including syncing code, submitting experiments, monitoring progress, reading TensorBoard metrics, and receiving completion notifications.
      -
    • A
      license
      B
      quality
      C
      maintenance
      Provides a persistent compute queue for AI agents, enabling them to submit hardware-aware GPU jobs, monitor execution, and retrieve results and artifacts across sessions via MCP tools.
      13
      MIT