У нас вы можете посмотреть бесплатно Desktop AI Orchestrator : Regex - LLM System for OS Automation или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Desktop AI Orchestrator – Regex + Local LLM System for OS Automation Desktop AI Orchestrator is a fully local AI-powered desktop automation engine that translates natural language commands into real operating system actions. It combines deterministic Regex-based intent validation with a locally running LLM (via Ollama) to safely automate applications, system controls, and web services. This project demonstrates how structured AI reasoning can be integrated with desktop automation to build a privacy-first personal assistant that runs entirely on your machine. No cloud AI. No external LLM APIs. Fully local inference. Key Features: • Open and switch desktop applications • Notepad automation with AI-generated content • Spotify control (search, play, pause, next, previous) • YouTube and Google search automation • Discord and Instagram messaging automation • GitHub repository search integration • Email drafting and sending (manual or AI-generated) • Calendar event creation and management • Task management system • File Explorer search automation • Microsoft Store search • System volume and brightness control • Conversational fallback mode • Multi-command chaining support The system ensures: • Deterministic execution using Regex • Safe command parsing • Sanitized inputs • Injection prevention • Controlled hotkey automation • Modular Python architecture All AI reasoning runs locally through Ollama. GitHub Repository: github.com/atharvamankar17/Desktop_AI_Orchestrator Why This Project Matters: Most AI assistants rely on cloud APIs. This project proves you can build a privacy-focused, local AI automation system that integrates structured rule-based validation with LLM reasoning.