Open Source Rust Artificial Intelligence Software for Mac

Rust Artificial Intelligence Software for Mac

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Browse free open source Rust Artificial Intelligence Software for Mac and projects below. Use the toggles on the left to filter open source Rust Artificial Intelligence Software for Mac by OS, license, language, programming language, and project status.

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  • 1
    Tabby

    Tabby

    Self-hosted AI coding assistant

    Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot.
    Downloads: 13 This Week
    Last Update:
    See Project
  • 2
    Shinkai: Local AI Agents

    Shinkai: Local AI Agents

    Shinkai allows you to create advanced AI (local) agents effortlessly

    Shinkai is a free, open-source AI platform that lets anyone create powerful AI agents without coding. These agents can collaborate with each other, handle complex tasks, and operate in decentralized crypto environments. Key Features: - No-Code Agent Creation - Build specialized agents (trading bots, sentiment trackers, etc.) with simple descriptions - Multi-Agent Collaboration - Agents work together to solve complex problems - Crypto Integration - Built-in support for decentralized payments and transactions - Flexible AI Models - Choose from cloud models (GPT-4, Claude) or run locally - Universal Compatibility - Works with Model Context Protocol (MCP) for cross-platform integration - Local Security - Crypto keys and computations stay on your device Shinkai transforms AI from single-task tools into collaborative, autonomous systems that can operate in decentralized networks while maintaining privacy and security.
    Downloads: 1 This Week
    Last Update:
    See Project
  • 3
    pipeless

    pipeless

    A computer vision framework to create and deploy apps in minutes

    Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new video frames and Pipeless takes care of everything else. You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud.
    Downloads: 0 This Week
    Last Update:
    See Project
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