Showing 4 open source projects for "compact"

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  • 1
    Win-CodexBar

    Win-CodexBar

    Show usage stats for OpenAI Codex and Claude Code

    Win-CodexBar is a Windows system tray application that provides real-time visibility into usage limits and consumption across multiple AI coding tools. It is designed as a lightweight desktop utility that aggregates usage data from various providers and displays it in a compact, always-accessible interface. The app supports dozens of AI services, allowing developers to monitor API usage, quotas, and costs without logging into each platform individually. It includes a dynamic tray icon that visually represents usage levels, along with a detailed panel for deeper insights. The system supports importing credentials and browser cookies to access provider data securely. ...
    Downloads: 20 This Week
    Last Update:
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  • 2
    SmallCode

    SmallCode

    AI coding agent optimized for small LLMs. 87% benchmark

    ...Its workflow is built around terminal usage, which makes it suitable for developers who prefer command-line control and local project context. smallcode emphasizes efficient agent behavior, careful tool use, and benchmark-driven improvements for constrained models. Its main value is giving developers a compact coding-agent environment that treats small local models as first-class tools.
    Downloads: 0 This Week
    Last Update:
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  • 3
    nanocode

    nanocode

    Minimal Claude Code alternative. Single Python file, zero dependencies

    nanocode is a minimalist coding agent implementation designed as a compact alternative to Claude Code, packaged in a single Python file with no external dependencies and totaling around 250 lines of code. It implements a full agentic loop where the model can reason, decide when to use tools, execute those tools, and iterate until producing a final answer, making it useful for simple AI-assisted coding workflows.
    Downloads: 0 This Week
    Last Update:
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  • 4
    MiniMax-M2

    MiniMax-M2

    MiniMax-M2, a model built for Max coding & agentic workflows

    MiniMax-M2 is an open-weight large language model designed specifically for high-end coding and agentic workflows while staying compact and efficient. It uses a Mixture-of-Experts (MoE) architecture with 230 billion total parameters but only 10 billion activated per token, giving it the behavior of a very large model at a fraction of the runtime cost. The model is tuned for end-to-end developer flows such as multi-file edits, compile–run–fix loops, and test-validated repairs across real repositories and diverse programming languages. ...
    Downloads: 1 This Week
    Last Update:
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