I Built The UnoQ's Claw: A Tiny Agentic AI Assistant That Lives Inside an Arduino Uno Q
David Laurenvil has developed QClaw, a unique AI assistant that operates entirely on the Arduino Uno Q. Unlike traditional AI setups that rely on cloud models, QClaw runs its language model and processes tasks offline. This innovation allows for direct interaction with the hardware, enabling users to compile and flash code without needing external connections.
- ▪QClaw operates on the Arduino Uno Q, utilizing its dual-silicon architecture for efficient processing.
- ▪The assistant can compile and flash code directly on the board, eliminating the need for external devices or networks.
- ▪QClaw supports two operational paths: an agentic path for full functionality and a direct path for quick queries.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3943337) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } David Laurenvil Posted on May 21 I Built The UnoQ's Claw: A Tiny Agentic AI Assistant That Lives Inside an Arduino Uno Q #arduino #ai #vibecoding #iot Every "AI on hardware" demo you have ever seen has a LLM behind it. The user talks to a board via a terminal or Telegram, and the board calls an API to have a cloud model do the work. QClaw flips that arrangement.
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