Showing 6 open source projects for "utility"

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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. ...
    Downloads: 9 This Week
    Last Update:
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  • 2
    Grok CLI

    Grok CLI

    An open-source AI agent that brings the power of Grok

    Grok CLI is a command-line interface built around the Grok AI model that brings programmatic and conversational AI capabilities directly to developer terminals. It lets you run Grok queries from your shell, scripting environment, or automation workflows without switching to a browser, enabling utility in scripting, quick data exploration, code generation, and assistant-guided tasks directly where you write code. The CLI supports streaming responses, so outputs appear in real time as the Grok model generates them, making interactions feel responsive and fluid in terminal contexts. Grok CLI is designed to integrate with existing terminal habits—aliases, pipes, editors, and tooling—so you can combine AI assistance with native command-line workflows like grep, awk, and git. ...
    Downloads: 15 This Week
    Last Update:
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  • 3
    CodexBar

    CodexBar

    Show usage stats for OpenAI Codex and Claude Code

    CodexBar is a lightweight macOS utility that displays real-time usage statistics for AI coding tools such as OpenAI Codex and Claude Code directly from the system menu bar. The application is designed to give developers quick visibility into token consumption and activity without requiring them to open web dashboards or log into provider portals. Built in Swift with a native macOS interface, it integrates seamlessly into the desktop environment and emphasizes minimal overhead. ...
    Downloads: 2 This Week
    Last Update:
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  • 4
    Expect

    Expect

    Let agents test your code in a real browser

    Expect is a developer-focused utility designed to simplify validation, testing, and assertion workflows across software environments by providing a clean and expressive interface for defining expected outcomes. The project likely centers on improving readability and maintainability in testing scenarios, allowing developers to write expectations in a concise and human-readable format.
    Downloads: 0 This Week
    Last Update:
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  • 5
    ClaudeBar

    ClaudeBar

    A macOS menu bar application that monitors AI coding assistant usage

    ClaudeBar is a macOS menu bar utility that helps developers and power users monitor their AI coding assistant usage quotas from a lightweight system tray interface. Rather than constantly running CLI commands or navigating web dashboards, users can glance at their quota statistics for services like Claude, Codex, Gemini, GitHub Copilot, and Antigravity directly from the menu bar.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 6
    SERA CLI

    SERA CLI

    A tool to use the Ai2 Open Coding Agents Soft-Verified Agents

    SERA CLI is a command-line tool created by AllenAI to enable developers to interact with the SERA (Soft-Verified Efficient Repository Agents) model family using Claude Code as the execution front end. It provides a convenient interface for deploying, testing, and using SERA models without needing to write scaffold code from scratch, acting as both a proxy and utility wrapper to simplify workflows that involve large agent models. Through sera-cli, users can connect to local or cloud-hosted SERA deployments, including via Modal for quick GPU provisioning and model caching, which helps accelerate experiments. The project is targeted at practitioners and researchers in the AI space who need a flexible but powerful CLI interface for model invocation, endpoint configuration, and integration with development pipelines.
    Downloads: 0 This Week
    Last Update:
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