sseanliu

sseanliu / VisionClaw

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Real-time AI assistant for Meta Ray-Ban smart glasses -- voice + vision + agentic actions via Gemini Live and OpenClaw

1,408
272
100% credibility
Found Feb 07, 2026 at 201 stars 7x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

VisionClaw is an iOS app that provides real-time voice conversations with visual understanding through Meta Ray-Ban smart glasses or an iPhone camera, optionally enabling actions like messaging or searches via connected tools.

How It Works

1
🔍 Discover VisionClaw

You come across VisionClaw, a fun app that turns your smart glasses or phone into a talking AI buddy that sees what you see.

2
📱 Prepare the app

Open the app on your computer, connect a free AI service, and get it ready to run on your iPhone.

3
▶️ Test with your phone

Tap start on your iPhone to use its camera and mic for chatting with the AI.

4
🗣️ Chat with AI vision

Speak naturally like 'What am I looking at?' and hear the AI describe the world right through your screen.

5
Pick your power-up
👓
Add smart glasses

Connect your Ray-Ban glasses so the AI sees live from what you're wearing.

🛠️
Add action tools

Link a helper on your computer to let the AI send messages, search, or manage lists.

✅
Keep it simple

Enjoy voice and vision chats just as they are.

🎉 Your AI companion lives!

Now talk to your glasses or phone anytime – it sees, responds, and helps with daily life effortlessly.

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AI-Generated Review

What is VisionClaw?

VisionClaw turns Meta Ray-Ban smart glasses into a real-time AI assistant that sees through the camera, hears your voice, and executes actions like adding shopping items or sending messages. Built in Swift for iOS, it streams low-fps video and bidirectional audio to Google's Gemini Live API over WebSocket, with optional OpenClaw integration for 50+ app-connected tools. Test it instantly on your iPhone camera without glasses, using a free key from Google AI Studio.

Why is it gaining traction?

It delivers seamless real-time assistant AI—voice queries like "What am I looking at?" get instant visual descriptions, while agentic tasks route through OpenClaw for web searches or messaging. Developers love the quick start: clone, add API key, run on device, no complex setup. Standing out from basic real-time transcription GitHub projects, it combines vision, voice, and actions in one pipeline.

Who should use this?

iOS devs prototyping wearable AI, hardware hackers with Ray-Bans, or anyone building real-time assistants like medical instructed aids for glaucoma and diabetic patients, real-time poker or interview assistants, meeting note-takers, or sales bots. Ideal for real-time detection projects or power monitoring dashboards needing voice-vision integration.

Verdict

Grab it if you're in wearables or real-time AI—607 stars show buzz, and docs make setup straightforward despite 1.0% credibility score signaling early maturity. Solid for proofs-of-concept, but watch for production hardening.

(198 words)

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