Showing 4 open source projects for "loops"

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  • 1
    Auto Claude

    Auto Claude

    Autonomous multi-session AI coding

    Auto-Claude is an autonomous, multi-agent coding framework that organizes software work into a structured workflow where agents plan, build, and validate code with minimal manual micromanagement. Instead of relying on a single chat thread to do everything, it uses coordinated agents and a task-driven approach so multiple steps—like investigation, implementation, and testing—can be executed systematically. The project aims to make “agentic software engineering” feel like running a small...
    Downloads: 14 This Week
    Last Update:
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  • 2
    Oh My codeX (OMX)

    Oh My codeX (OMX)

    Your codex is not alone. Add hooks, agent teams, HUDs

    Oh My codeX (OMX) is a multi-agent orchestration layer designed to extend the capabilities of OpenAI Codex CLI by introducing structured teamwork, automation, and advanced workflow management. It addresses limitations in the base Codex environment, such as the lack of hooks, agent coordination, and persistent execution, by layering a shell-based system that enables richer interaction patterns. The project transforms a single AI coding assistant into a coordinated system of specialized agents...
    Downloads: 3 This Week
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  • 3
    Vibecraft

    Vibecraft

    Manage Claude Code in style

    ...It uses generative modeling techniques to interpret input descriptors such as genre, mood, tempo, instrument palette, and creative themes, then outputs sequences that can serve as sketches, loops, or full musical ideas. The workflow prioritizes interactivity, letting users refine prompts, adjust musical fingerprints, and iterate on compositions in near real-time, making it suitable for ideation, prototyping, or inspiration workflows. The application also emphasizes usability by exporting to common audio formats and DAW-friendly stems, enabling seamless integration into existing music production environments.
    Downloads: 1 This Week
    Last Update:
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  • 4
    Codex Autoresearch

    Codex Autoresearch

    A codex plugin for running optimization loops inside a codebase

    Codex Autoresearch is an autonomous software improvement framework that enables AI coding agents to iteratively enhance codebases without continuous human input. The system operates in a loop where the agent modifies code, evaluates results against measurable metrics, and either keeps or discards changes based on performance. It generalizes the concept of autoresearch beyond machine learning, allowing optimization of test coverage, latency, lint errors, and overall code quality. Developers...
    Downloads: 0 This Week
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