Bookmark Record and Recommend

Tracking since Apr 16, 2026.

Changelog

• May 28, 2026
  description

  v0.3.1
  
  1. Push & Analyze is now available: added a workflow for pushing, pulling, and analyzing data packages and Markdown documents, with GitHub cloud sync support for bookmark records, recommendation signals, and analysis docs.
  2. AI analysis experience improved: added and refined the `AGENTS.md` / `CLAUDE.md` rule file, improving analysis output paths, push time ranges, evidence-reading order, and bilingual analysis templates.
  3. Other experience improvements: refined several widget and sync-related UI details, including file lists, status messages, path display, and GitHub Token guidance, and fixed ZIP filename encoding, snapshot generation limits, and other reliability details.
  
  ─────────────
  
  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.
   
  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.

  v0.3.9
  
  1. Recommendation experience improved: added recommendation card popups and refined Review Later, Block, Skip, and related actions.  
  2. Domain and add flows enhanced: Review Later and Block now support adding by bookmark tree, search, and domain, with domain lists showing bookmark counts, click records, active-time data, and favicons, plus domain-level blocking for recommendations and active-time tracking.  
  3. Push range expanded: added This Quarter and Custom ranges for more flexible sync and analysis data selection.  
  
  ─────────────
  
  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.
   
  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.

• May 10, 2026
  description

  v0.2.7
  
  1.Quick Review enhancement: shortcut set to Option + S, and it can be triggered directly in the background.
  2.Widget UI improvements: refined multiple widget interfaces and added a time-ranking view.
  3.Bookmark recommendation improvements: adjusted recommendation and card-related algorithms to improve relevance and stability.
  4.Related Records improvements: optimized the Related Records widget and refined favicon and lazy-loading details.
  
  ─────────────
  
  A powerful dual-pool extension where your Bookmark Records actively serve and feed data into our Smart S-Score Recommendations.
  
  1. Bookmark Records (Data Pool)
  • Active Time Tracking: Tracks your actual reading time spent on bookmarked pages.
  • Usage Stats: Analyzes your addition history, click rankings, and related browsing behaviors.
  • Context Search: Easily filter all your usage records by keywords or date.
  
  2. Bookmark Recommendation (S-Score Pool)
  • Data-Driven Algorithm: Surfaces forgotten bookmarks based on customizable S-score formula parameters fueled by the Data Pool.
  • Review Manager: Fully control your recommendation flow with 'Review Later', 'Skip', or 'Block'.
  
  100% Private local-only storage.

  v0.3.1
  
  1. Push & Analyze is now available: added a workflow for pushing, pulling, and analyzing data packages and Markdown documents, with GitHub cloud sync support for bookmark records, recommendation signals, and analysis docs.
  2. AI analysis experience improved: added and refined the `AGENTS.md` / `CLAUDE.md` rule file, improving analysis output paths, push time ranges, evidence-reading order, and bilingual analysis templates.
  3. Other experience improvements: refined several widget and sync-related UI details, including file lists, status messages, path display, and GitHub Token guidance, and fixed ZIP filename encoding, snapshot generation limits, and other reliability details.
  
  ─────────────
  
  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.
   
  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.

• Apr 22, 2026
  permissions

  unlimitedStorage, sidePanel, bookmarks, history, storage, idle, downloads, tabs, tabGroups, windows, webNavigation, commands

  unlimitedStorage, favicon, sidePanel, bookmarks, history, storage, alarms, idle, downloads, tabs, tabGroups, windows, webNavigation, commands

• Apr 22, 2026
  description

  A powerful dual-pool extension where your Bookmark Records actively serve and feed data into our Smart S-Score Recommendations.
  
  1. Bookmark Records (Data Pool)
  • Active Time Tracking: Tracks your actual reading time spent on bookmarked pages.
  • Usage Stats: Analyzes your addition history, click rankings, and related browsing behaviors.
  • Context Search: Easily filter all your usage records by keywords or date.
  
  2. Bookmark Recommendation (S-Score Pool)
  • Data-Driven Algorithm: Surfaces forgotten bookmarks based on customizable S-score formula parameters fueled by the Data Pool.
  • Review Manager: Fully control your recommendation flow with 'Review Later', 'Skip', or 'Block'.
  
  100% Private local-only storage.

  v0.2.7
  
  1.Quick Review enhancement: shortcut set to Option + S, and it can be triggered directly in the background.
  2.Widget UI improvements: refined multiple widget interfaces and added a time-ranking view.
  3.Bookmark recommendation improvements: adjusted recommendation and card-related algorithms to improve relevance and stability.
  4.Related Records improvements: optimized the Related Records widget and refined favicon and lazy-loading details.
  
  ─────────────
  
  A powerful dual-pool extension where your Bookmark Records actively serve and feed data into our Smart S-Score Recommendations.
  
  1. Bookmark Records (Data Pool)
  • Active Time Tracking: Tracks your actual reading time spent on bookmarked pages.
  • Usage Stats: Analyzes your addition history, click rankings, and related browsing behaviors.
  • Context Search: Easily filter all your usage records by keywords or date.
  
  2. Bookmark Recommendation (S-Score Pool)
  • Data-Driven Algorithm: Surfaces forgotten bookmarks based on customizable S-score formula parameters fueled by the Data Pool.
  • Review Manager: Fully control your recommendation flow with 'Review Later', 'Skip', or 'Block'.
  
  100% Private local-only storage.

Permissions & access

Permissions

unlimitedStoragefaviconsidePanelbookmarkshistorystoragealarmsidledownloadstabstabGroupswindowswebNavigationcommands

Host access

<all_urls>

Screenshots

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