Vector Bookmark
Semantic recall for everything you've read. 100% local hybrid BM25 + vector search across your browsing history.
As of June 2026, Vector Bookmark has — users in the Productivity category.
Usersno change0%
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Ratingno change0%
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— reviews
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Version
1.1.4
Manifest V3
History
2 snapshotsTracking since May 23, 2026.
View as table
| Date | Users | Rating | Reviews | Version |
|---|---|---|---|---|
| May 23, 2026 | 1 | — | — | 1.1.4 |
| May 29, 2026 | 1 | — | — | 1.1.4 |
| Now | — | — | — | 1.1.4 |
Permissions & access
- Permissions
- storageomniboxscripting
- Host access
- <all_urls>
Screenshots
About
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.
Technical
- Version
- 1.1.4
- Manifest
- V3
- Size
- 89.54KiB
- Min Chrome
- 116
- Languages
- 1
- Featured
- No
Metadata
- ID
- gfafpbchkkbbpokpoffoebfbdjjencgo
- Developer ID
- u8c941458790220c77246398227c2041d
- Developer Email
- [email protected]
- Created
- May 22, 2026
- Last Updated (Store)
- May 22, 2026
- Last Scraped
- Jun 11, 2026
- Website
- —
Data sourced from the Chrome Web Store · last verified Jun 11, 2026.