Showing 3 open source projects for "progress track"

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    Superset LLM

    Superset LLM

    Run an army of Claude Code, Codex, etc. on your machine

    ...Each agent task is isolated in its own Git worktree, ensuring that code changes from different agents do not interfere with each other while allowing developers to track their progress independently. The platform includes built-in monitoring capabilities so users can observe the activity of each agent, receive notifications when tasks are completed, and quickly review changes produced by automated coding workflows. Superset also integrates tools for reviewing code differences, editing generated outputs, and managing the development environment directly from the interface.
    Downloads: 2 This Week
    Last Update:
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  • 2
    GSD Pi

    GSD Pi

    Development system that enables agents to work for long periods

    ...The project emphasizes spec-driven development, context engineering, and longer autonomous work sessions. It helps users break ideas into plans, manage execution steps, verify results, and keep track of progress across a project. Because it runs as a command-line tool, it fits naturally into developer environments and repository-based workflows. Its main value is turning AI coding assistance into a more organized project system with planning, task management, and implementation support.
    Downloads: 2 This Week
    Last Update:
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  • 3
    Vibe Kanban

    Vibe Kanban

    Get 10X more out of Claude Code, Codex or any coding agent

    ...As AI agents such as Claude Code, Gemini CLI, Codex, and others are increasingly used to generate and update code autonomously, developers often end up spending more time monitoring and sequencing these agents than writing or reviewing meaningful work. Vibe Kanban tackles this by enabling users to define tasks as cards on a board, assign those tasks to one or more coding agents, and then track progress and outcomes as each agent executes in the background with its own isolated workspace. It supports running multiple agents in parallel or in sequence, giving engineers the freedom to plan, review, and address higher-level concerns while AI helpers execute individual pieces of work.
    Downloads: 4 This Week
    Last Update:
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