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Search pages you have seen by meaning, not just by URL. Personal Web Memory is a privacy-first Chrome extension that helps you find pages you have already visited by searching the actual content you saw, not only page titles or URLs. Have you ever thought, "Where did I see that article last week?" or "Which product page mentioned free shipping?" Personal Web Memory quietly saves readable page text locally on your device, then lets you search your own web history with natural phrases like "AI tools last week", "kitchen cabinets", "pricing shipping today", or "React documentation cache". Unlike cloud-based history tools, Personal Web Memory keeps your saved page memory inside Chrome local storage. There is no external server, no account, and no remote AI API in this MVP. Your remembered pages stay on your device. Key features: Content-based local search for pages you visited Natural-language style queries Recent memory fallback when there is no exact match Highlighted matching words and phrases in search snippets Automatic page type detection for articles, shopping pages, documentation, videos, jobs, and general pages Quick filters for 24 hours, week, month, articles, shopping, and docs Clickable topic tags for faster discovery "Why this surfaced" explanations for search results Manual "Save this page now" button Copy-link action for every result Export and import your local memory as JSON Local-first design with no required login Best for: Researchers and students who revisit many articles Developers searching documentation they opened earlier Shoppers comparing products across sites Marketers, writers, and analysts collecting references Anyone who remembers what a page said but not where it was
Jun 2, 2026
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.