Showing 3 open source projects for "minimal linux"

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  • 1
    rtk

    rtk

    CLI proxy that reduces LLM token consumption

    rtk is an open-source command-line proxy designed to optimize interactions between AI coding agents and the terminal by reducing unnecessary token consumption. When AI assistants execute shell commands during software development tasks, the resulting terminal output often contains large amounts of repetitive or irrelevant information that can overwhelm the model’s context window. RTK intercepts these command outputs and compresses them into concise summaries before sending them to the...
    Downloads: 25 This Week
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  • 2
    uzu

    uzu

    A high-performance inference engine for AI models

    uzu is a high-performance inference engine designed to run artificial intelligence models efficiently on Apple Silicon hardware. Written primarily in Rust and leveraging Apple’s Metal framework, the project focuses on maximizing performance when executing large language models and other AI workloads on devices such as Mac computers with M-series chips. The engine implements a hybrid architecture in which model layers can be executed either as custom GPU kernels or through Apple’s MPSGraph...
    Downloads: 1 This Week
    Last Update:
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  • 3
    SmartGPT

    SmartGPT

    A program that provides LLMs with ability to complete complex tasks

    SmartGPT is an experimental autonomous agent framework built to help large language models tackle complex tasks with minimal or no additional user input. It works by decomposing larger objectives into smaller steps and gathering information from the internet and other outside sources as needed. The project is written in Rust and emphasizes modularity, allowing developers to compose different “Autos” depending on the workflow they want to build. Its architecture separates responsibility...
    Downloads: 0 This Week
    Last Update:
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