Overview
Semantic recall for everything you've read. 100% local hybrid BM25 + vector search across your browsing history.
Vector Bookmark turns your browsing history into a searchable second brain — without sending a single byte to anyone else's server. While you read, a tiny local daemon (vbmd) running on your own machine indexes the pages you actually spend time on. When you need to find something later — a half-remembered article, a tutorial you skimmed last month, a Stack Overflow answer — you search by meaning, not just keywords. KEY FEATURES • Hybrid search: BM25 full-text + vector embeddings combined with Reciprocal Rank Fusion. Finds the page even when you forget the exact words. • 100% local by default: SQLite database on your disk. No accounts, no cloud, no telemetry. • Passive capture: pages you spend at least 10 seconds on (configurable) are auto-indexed. No clicks needed. • Manual indexing on demand: open the popup, pick a mode (full text, LLM summary, manual notes, or meta-only), tag, and confirm. • Tag-aware: assign tags from the popup, get LLM-suggested tags from the existing taxonomy, browse a tag cloud, filter searches by tag. • YouTube-aware: extract the transcript or top comments of a video as the indexed content. • Timeline view: see your reading volume per day, drill into any day's pages. • Omnibox: type @recall <query> in the address bar to search. • Privacy-first: incognito tabs are never touched, password fields are never read, your blacklist is yours. • Bring your own LLM (optional): point the daemon at any OpenAI-compatible endpoint for embeddings and summaries — local (Ollama, llama.cpp) or cloud, your choice. REQUIREMENTS You need to install and run the companion daemon `vbmd` on your machine. Setup instructions and the full source code are at https://github.com/drecchia/chrome-plugin-vector-bookmark. WHY <all_urls>? The single purpose of this extension is to remember pages across your entire browsing — so it must observe all sites you visit. You stay in control via the user-managed blacklist and the dwell threshold. PRIVACY Read the full privacy policy at https://raw.githubusercontent.com/drecchia/chrome-plugin-vector-bookmark/main/PRIVACY.md.
Details
- Version1.1.4
- UpdatedMay 22, 2026
- Offered byciscomp
- Size89.54KiB
- LanguagesEnglish (United States)
- Developer
Email
ciscomp@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
Vector Bookmark has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.
Vector Bookmark handles the following:
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
Support
For help with questions, suggestions, or problems, visit the developer's support site
