Compute recommendations from bookmarks and browsing history, with interfaces for push and analysis.
Users
17
+3 in 30 days
Rating
0.0 / 5
unchanged in 30 days
Ratings
0
0 in 30 days
Store rank
#165K
#138K among extensions
Version
0.4.9.2
updated 2 Aug 2026
Users
monthly, 8 months
Latest, 21 Oct 2026:17 usersMove the mouse over the chart for any month
Ratings count
monthly, 8 months
Latest, 21 Oct 2026:0 ratingsMove the mouse over the chart for any month
The Chrome Web Store rounds user counts down to the leading digit, so the user line moves in steps. The ratings count is exact and is the better signal of real adoption.
About Bookmark Record and Recommend
GitHub(Issue/PR): https://github.com/Browser-bookmark-hub/Bookmark-Record-Recommend
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A powerful extension built around Bookmark Records, Smart S-Score Recommendations, and AI Push & Analyze: it computes bookmark records, active time, click rankings, related history, and recommendation signals locally, then lets you download or push the “raw data + computed results” to GitHub so AI can analyze them out-of-the-box with AGENTS.md / CLAUDE.md rules.
It is also an ecosystem-related project for [Bookmark-Canvas](https://github.com/Browser-bookmark-hub/Bookmark-Canvas), with [exported JSON files] compatible with Bookmark Canvas import formats for temporary sections and notes.
1. Bookmark Records (Data Pool)
- Active Time Tracking: Tracks your actual active reading time spent on bookmarked pages.
- Usage Stats: Collects and reviews bookmark additions, click rankings, related browsing history, and time rankings.
- Context Search: Quickly find target records, historical timelines, and contextual clues with one unified search box.
2. Bookmark Recommendations (S-Score Pool)
- Formula-Driven Algorithm: Surfaces forgotten high-value bookmarks through S-Score parameters fueled by the Data Pool.
- Review Manager: Fully control your recommendation flow with “Review Later”, “Skip”, and “Block”.
3. AI Push & Analyze (Local Computation Result Pool)
- Local Precomputation: Computes records, rankings, relations, and recommendation signals locally to reduce the AI’s raw-data burden.
- One-Click Push: Download or push the “raw data + computed results” to GitHub as traceable data packages.
- Out-of-the-Box Analysis: Let AI read structured outputs directly and analyze them with AGENTS.md / CLAUDE.md rules.
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v0.4.9.2
- Optimized the “Add to Review” export-button UI for narrow layouts.
- Fixed right-click export for orange-selected items in Related Records.
- Launched a new ecosystem project [Bookmark-Canvas](https://github.com/Browser-bookmark-hub/Bookmark-Canvas) and refreshed the ecosystem showcase images.
v0.4.9.1
- Fixed click ranking incorrectly showing “No bookmarks to analyze” during sidebar cold start.
- Improved distinction between bookmark loading failures and users with no bookmarks, with progressive retries.
- Fixed month, week, and day export scopes accidentally exporting the entire history library.
- Fixed inaccurate export ranges for cross-month and cross-week selections.
- Fixed export scopes drifting after navigating between dates.
- Added timestamps to local and GitHub export filenames to prevent same-day overwrites.
- Fixed GitHub configuration loading for manual exports initiated outside the Push & Analysis view.
- Cleaned up and ignored .DS_Store files.
v0.4.9
> [!NOTE]
> - **Bookmark-first history refresh**: visits to saved bookmarks now use batched URL-level updates. Ordinary web visits no longer automatically calibrate the local history library, reducing scans when opening the sidebar and during daily tasks; manual calibration or pre-export sync can fill them in.
v0.4.8
> [!NOTE]
> - **Export ecosystem expansion**: Push & Analyze and manual exports can target GitHub, local files, or both. GitHub manual exports are organized under `manual-export/<category>/<date>/` and remain separate from normal sync and pull flows. Related Records now supports right-click context exports for any item, configurable before/after ranges, and preserved orange-selection semantics; Click Ranking adds single-item exports.
> - **UX and documentation polish**: recommendation modes now include notes on backup/restore and S-score recalculation; favicon warm-up is capped at 150 unique domains; bookmark-event API audit and multilingual documentation groundwork were added.
Growth
Window
Users
Change
Ratings
Rating
7 days
−2
−10.5%
0
0.00
30 days
+3
+21.4%
0
0.00
6 months
+15
+750.0%
0
0.00
Chrome Web Store search rankings
Where Bookmark Record and Recommend appears when people search the store, with the 30 day change