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Showing 7 open source projects for "fast linux"

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  • Gemini 3 and 200+ AI Models on One Platform Icon
    Gemini 3 and 200+ AI Models on One Platform

    Access Google's best plus Claude, Llama, and Gemma. Fine-tune and deploy from one console.

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  • Application Monitoring That Won't Slow Your App Down Icon
    Application Monitoring That Won't Slow Your App Down

    AppSignal's Rust-based agent is lightweight and stable. Already running in thousands of production apps.

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  • 1
    Micro-agents
    An efficient Java-based Multi-agent Platform implementing the micro-agent concept µ² offering network support and multiple agent implementation languages. Detailed instructions and documentation can be found under http://www.micro-agents.net. This project has been moved to Github.
    Downloads: 0 This Week
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  • 2
    an embeddable Lisp system that is lightweight, reasonably fast, and highly extensible
    Downloads: 0 This Week
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  • 3
    Jatha is a Java library that implements a large subset of Common LISP, including most of the datatypes (e.g. packages, bignums). The API allows access to LISP from Java. Jatha is useful as a fast, embedded LISP language, or as a standalone LISP.
    1 Review
    Downloads: 0 This Week
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  • 4
    A Chinese Chess (xiangqi) game for Linux and Windows. Aims to be fast, flexible and above all simple to use. You can play with your friends or against the AI.
    Downloads: 1 This Week
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    Full-stack observability with actually useful AI | Grafana Cloud

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  • 5
    CL Slideshow aims to be a small and fast desktop program for viewing and managing image files (.gif .jpeg etc). The program itself is written in Common Lisp and uses Lisp2wish to manage the Tcl/Tk GUI for excellent cross-platform potential.
    Downloads: 0 This Week
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  • 6
    ThinLisp is a practical dialect of lisp for real world applications. You develop in Common Lisp, you deploy in C. ThinLisp programs are as fast as C, by design. Used for a decade in million line systems.
    1 Review
    Downloads: 5 This Week
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  • 7
    ScenConnect shows scenarios as networks of situation and event tag sets, for fast comparisons. It links scenarios to tags, scores, and other metadata, creating situationals suitable for search, mining, machine learning, and planning.
    Downloads: 0 This Week
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