Showing 4 open source projects for "resume templete linux"

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  • 1
    Resume-Matcher

    Resume-Matcher

    Improve your resumes with Resume Matcher

    Resume-Matcher is a command-line application that compares resumes against job descriptions using natural language processing. It provides a compatibility score based on keyword relevance and highlights areas where the resume aligns—or doesn't—with the target role. Designed for job seekers and HR professionals, it helps improve resume tailoring and streamlines candidate screening.
    Downloads: 1 This Week
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  • 2
    Magic Resume

    Magic Resume

    free online AI resume editor

    Magic Resume is a modern, open-source AI-powered resume builder designed to simplify the process of creating professional resumes through an interactive, visually rich web interface. Built with modern frontend technologies such as TanStack Start, TypeScript, and Tailwind CSS, it provides a smooth and responsive user experience enhanced by animation frameworks that make editing intuitive and engaging. The platform offers real-time preview capabilities, allowing users to instantly visualize...
    Downloads: 0 This Week
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  • 3
    Agentspan

    Agentspan

    Durable, Distributed runtime for ALL of your agents

    Agentspan is a distributed runtime designed to run AI agents reliably across machines while maintaining long-lived execution states. It enables agents to persist beyond process crashes, allowing workflows to continue even after interruptions or restarts. The system is built for durability, meaning tasks can pause for extended periods, including waiting for human approval, and then resume seamlessly. It supports scaling across multiple environments, making it suitable for production-grade...
    Downloads: 1 This Week
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  • 4
    Ralph AI Agent

    Ralph AI Agent

    AI agent loop that runs repeatedly until all PRD items are complete

    Ralph is a Rust-based AI agent runtime that focuses on safe, modular, and programmable autonomous behavior. It provides a reactive loop where agents can repeatedly assess the current context, reason about the next best action using large language models, and execute actions across integrated tools and services. The runtime emphasizes safety boundaries by sandboxing operations, enforcing time and token limits, and isolating execution layers to prevent unpredictable side effects. Ralph also...
    Downloads: 0 This Week
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