Showing 4 open source projects for "open source personal cloud virtual"

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  • 1
    MimiClaw

    MimiClaw

    Run OpenClaw on a $5 chip

    MimiClaw (from the mimiclaw project) is an edge-AI personal assistant that runs directly on extremely low-cost hardware like an ESP32-S3 microcontroller without a full operating system, Node.js, or cloud backend. By running pure C on a bare-metal chip, MimiClaw brings AI interactions and persistent memory to a tiny USB-powered device you can carry in your pocket. You connect the device to Wi-Fi and chat with it using Telegram, making it a convenient always-on assistant for tasks like...
    Downloads: 5 This Week
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  • 2
    zclaw

    zclaw

    Your personal AI assistant at all-in 888KiB

    zclaw is a highly compact personal AI assistant framework designed to run on constrained embedded hardware such as the ESP32. The project focuses on delivering core assistant capabilities within an extremely small footprint, demonstrating how AI-driven automation can operate on microcontrollers. It includes support for GPIO control, scheduled tasks, memory handling, and other embedded automation features that enable real-world device interaction. The architecture is optimized for efficiency,...
    Downloads: 1 This Week
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  • 3
    LLMFarm

    LLMFarm

    llama and other large language models on iOS and MacOS offline

    LLMFarm is a framework designed to simplify the deployment, management, and utilization of large language models in local or self-hosted environments, focusing on accessibility and efficient resource usage. It enables users to run LLMs on personal hardware or private infrastructure, reducing dependency on external APIs and improving data privacy. The system typically provides a user-friendly interface for loading models, configuring inference parameters, and interacting with them through...
    Downloads: 0 This Week
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  • 4

    virgo

    32 bit VIRGO Linux Kernel

    Linux kernel fork-off with cloud and machine learning features
    Downloads: 0 This Week
    Last Update:
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