1 item
AI-powered semantic search through your browsing history using Google Gemini embeddings Memory Vault: AI-Powered Browser History Find pages by what they’re about, not what they’re called. Memory Vault indexes your browsing history using semantic embeddings, so you can search by meaning instead of exact keywords. The Problem: You read something useful a few weeks ago. Now you need it. You search your history but can't remember the exact title, and Chrome's history search only matches literal text. If the words aren't in the title, you're stuck scrolling. How Memory Vault Fixes This: Memory Vault uses Google Gemini to understand page content, then stores embeddings locally. When you search, it finds pages that mean the same thing as your query, not just pages that contain those words. Example: You search: "database tradeoffs" Chrome history: Nothing (the title was "Understanding the CAP Theorem") Memory Vault: Finds it instantly, because it knows what the page was about Features: • Semantic search: Query by concept, not keywords • Local storage: Your data stays in your browser. Nothing is sent to any server except Google's API for processing • Automatic capture: Pages are indexed in the background as you browse • Handles thousands of pages: Efficient IndexedDB storage with automatic pruning Setup (2 minutes): Install the extension Grab a free API key from Google AI Studio Paste it in when prompted Browse normally. Memory Vault handles the rest What You Need: A free Google Gemini API key. The extension will walk you through getting one. It takes about 30 seconds. Built because I got tired of losing articles I'd already read.
Nov 27, 2025
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.