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Arduino LLM

Automates the generation, compilation, and uploading of Arduino, ESP8266, and ESP32 firmware using local Large Language Models and Arduino CLI.

About

This intelligent backend server bridges the gap between natural language and embedded programming by leveraging local Large Language Models (LLMs) via Ollama and automating firmware processes with Arduino CLI. It allows users to generate, compile, and upload Arduino, ESP8266, and ESP32 sketches using simple natural language prompts, streamlining the development workflow for IoT and microcontroller projects. Designed with partial adherence to Model Context Protocol (MCP) principles, it aims to evolve into a reusable, standards-friendly backend for efficient embedded LLM workflows.

Key Features

  • Partially follows Model Context Protocol (MCP) for structured context handling
  • Automates firmware compilation and upload using Arduino CLI
  • Integrates Ollama for local LLM-powered private code generation
  • 1 GitHub stars
  • Provides a simple Express API for integration with custom frontends
  • Supports multiple microcontroller boards including Arduino Uno, ESP8266, and ESP32

Use Cases

  • Create an intelligent backend for custom web UIs that control embedded devices
  • Rapidly prototype IoT and embedded systems using LLM-generated code
  • Automatically generate and flash microcontroller firmware from natural language prompts
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