Showing 9 open source projects for "microcontroller"

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  • 1
    XiaoZhi AI Chatbot

    XiaoZhi AI Chatbot

    Build your own AI friend

    xiaozhi-esp32 is an open-source project that guides users in building their own AI-powered conversational companion using the ESP32 microcontroller. The project provides detailed instructions on assembling the hardware, setting up the software, and integrating AI models to enable natural language interactions. This DIY approach offers an accessible entry point into AI and hardware development.
    Downloads: 90 This Week
    Last Update:
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  • 2
    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 reminders, quick lookups, or custom AI interactions. ...
    Downloads: 4 This Week
    Last Update:
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  • 3
    esp32-ai

    esp32-ai

    Running a 28.9M parameter LLM on an $8 microcontroller

    esp32-ai is an experimental language-model project that runs a 28.9-million-parameter model entirely on an ESP32-S3 microcontroller. The quantized model occupies about 14.9 MB and generates text without sending data to a server. Most parameters remain in flash through a Per-Layer Embeddings design, while active computation uses SRAM and PSRAM. This memory layout allows the device to retrieve only the embedding rows required for each token. The implementation reaches roughly 9.5 tokens per second and can display generated words on a connected screen. ...
    Downloads: 0 This Week
    Last Update:
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  • 4
    TensorFlow Lite for Microcontrollers

    TensorFlow Lite for Microcontrollers

    Infrastructure to enable deployment of ML models

    TensorFlow Lite for Microcontrollers is a TensorFlow Lite runtime designed for running machine learning models on tiny embedded devices. It targets microcontrollers, DSPs, and other resource-constrained hardware where memory, compute, and power are limited. The project enables on-device inference without depending on an operating system, standard C or C++ libraries, or dynamic memory allocation. It is useful for applications such as wake-word detection, sensor analysis, gesture recognition,...
    Downloads: 5 This Week
    Last Update:
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  • 5
    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: 2 This Week
    Last Update:
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  • 6
    Porcupine2 is a small wearable sensory unit for logging motion data and doing low-level activity recognition. The project includes electronic schematics for the hardware, software for the microcontroller and client-side software for hardware-interaction.
    Downloads: 0 This Week
    Last Update:
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  • 7
    Robotics software framework for any microcontroller in C, based on the Subsumption Architecture theory from Brooks. Make your robot do 'intelligent' stuff without re-inventing the wheel all over again! Multiprocessor/architecture-ready!
    Downloads: 0 This Week
    Last Update:
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  • 8
    WebToaster: The archetypal really stupid application for an embedded microprocessor controller. This implementation uses an ATMEL AVR microcontroller, Linux PDA, and a hosted web site
    Downloads: 0 This Week
    Last Update:
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  • 9
    The project is aimed at automatic target following using a camera , a computer vision system and a microcontroller that moves the cam. The project should mainly work under linux and it might be ported into windows,
    Downloads: 0 This Week
    Last Update:
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