<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Chrome-Extension on Noureddine RAMDI</title><link>https://ramdi.fr/tags/chrome-extension/</link><description>Recent content in Chrome-Extension on Noureddine RAMDI</description><generator>Hugo</generator><language>en</language><lastBuildDate>Sat, 23 May 2026 20:41:27 +0000</lastBuildDate><atom:link href="https://ramdi.fr/tags/chrome-extension/index.xml" rel="self" type="application/rss+xml"/><item><title>Drawbridge: Bridging UI annotations and AI coding assistants with a universal task protocol</title><link>https://ramdi.fr/github-stars/drawbridge-bridging-ui-annotations-and-ai-coding-assistants-with-a-universal-task-protocol/</link><pubDate>Sat, 23 May 2026 20:41:14 +0000</pubDate><guid>https://ramdi.fr/github-stars/drawbridge-bridging-ui-annotations-and-ai-coding-assistants-with-a-universal-task-protocol/</guid><description>Drawbridge is a Chrome extension that turns browser UI annotations into structured AI tasks, integrating with Claude Code, Cursor, Codex, and Windsurf for AI-assisted coding.</description></item><item><title>Nanobrowser: multi-agent AI browser automation with dynamic self-correcting planning</title><link>https://ramdi.fr/github-stars/nanobrowser-multi-agent-ai-browser-automation-with-dynamic-self-correcting-planning/</link><pubDate>Tue, 05 May 2026 13:37:39 +0000</pubDate><guid>https://ramdi.fr/github-stars/nanobrowser-multi-agent-ai-browser-automation-with-dynamic-self-correcting-planning/</guid><description>Nanobrowser is a TypeScript Chrome extension implementing a multi-agent AI system for browser automation with a unique self-correcting Planner-Navigator architecture, supporting multiple LLMs and local privacy.</description></item><item><title>Gemma-gem: running large language models in Chrome with WebGPU acceleration</title><link>https://ramdi.fr/github-stars/gemma-gem-running-large-language-models-in-chrome-with-webgpu-acceleration/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/gemma-gem-running-large-language-models-in-chrome-with-webgpu-acceleration/</guid><description>Gemma-gem is a TypeScript Chrome extension using WebGPU to run large language models like E2B and E4B directly in the browser. It requires a recent Chrome and offers GPU-accelerated inference.</description></item><item><title>MD-This-Page: a Chrome extension that turns web pages into clean Markdown for LLM workflows</title><link>https://ramdi.fr/github-stars/md-this-page-a-chrome-extension-that-turns-web-pages-into-clean-markdown-for-llm-workflows/</link><pubDate>Mon, 04 May 2026 10:23:02 +0000</pubDate><guid>https://ramdi.fr/github-stars/md-this-page-a-chrome-extension-that-turns-web-pages-into-clean-markdown-for-llm-workflows/</guid><description>MD-This-Page converts any webpage into clean, LLM-ready Markdown using Mozilla Readability and Turndown. Built as a Plasmo React Chrome extension with export options.</description></item><item><title>FlowKit: automating AI video generation with visual consistency via a Chrome extension bridge</title><link>https://ramdi.fr/github-stars/flowkit-automating-ai-video-generation-with-visual-consistency-via-a-chrome-extension-bridge/</link><pubDate>Mon, 04 May 2026 10:23:01 +0000</pubDate><guid>https://ramdi.fr/github-stars/flowkit-automating-ai-video-generation-with-visual-consistency-via-a-chrome-extension-bridge/</guid><description>FlowKit automates AI video creation using Google Flow API with a unique reference image system ensuring visual consistency across scenes. It pairs a FastAPI backend with a Chrome extension bridge.</description></item></channel></rss>