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TabVault
TabVault — Tab sessions as projects, not clutter.
About TabVault
TabVault saves your Chrome tab sessions as named projects — every window, tab group, and pinned tab — restorable in one click. Thirty days of local history for crashes; local-only storage with no account. Free for 10 sessions; Pro is $6 once.
- Who it is for
- People who juggle dozens of browser tabs for work, research, or side projects and want to resume exactly where they left off.
- Problem it solves
- Browser sessions vanish too easily: tabs get lost in crashes, rebuilding window layouts and tab groups is tedious, and bookmarks don't preserve your working context — which windows were open, which tabs were grouped and pinned.
- The solution
- Keep the pages and context that matter. Find missing tabs, reuse a named workspace, and return at your own pace. Content and reusable workflows stay in this browser, with no account required.
- What makes it unique
- Sessions are saved as named projects with the full structure preserved — windows, tab groups, pinned tabs — all stored locally with no account, plus 30 days of history to recover from crashes.
Starting price: $6 · one-time purchase
Features
Save your workspace
Save up to 30 manual sessions in 3 projects for free. Keep notes, tags, pins and search alongside your saved pages.
Restore what you need
Select pages, restore browser groups and pinned tabs, and skip already-open URLs for free. Compare records for free; Pro batch-recovers selected missing pages.
Reuse your workspaces
Save named multi-window launch plans and apply cross-session cleanup with Pro. Review first, preserve source context, and undo the last supported local data change.
Comfortable to read
Compact, standard or large text is free. Follow your browser language with English fallback, or switch between English and Simplified Chinese.
Details
- Platforms
- Browser extension
- Pricing
- Freemium
- One-time purchase
- Built for
People who juggle dozens of browser tabs for work, research, or side projects and want to resume exactly where they left off.
- Building since
2026
Technology
Website performance
Recorded mobile lab measurements and finalized weekly standings from IndieTools Speed.
97ExcellentMobile Lighthouse
Measured · UTC
- Load time
- 371 ms
- FCP
- 777 ms
- LCP
- 2.52 s
- CLS
- 0.000
- TTFB
- 1 ms
- TBT
- 37 ms
- Speed index
- 777 ms
These stored lab observations describe controlled test runs. They are not real-user Core Web Vitals or a guarantee of search rankings. Weekly standings below remain attached to their finalized edition.
- Overall rank · 2026-W44
- #439
- Best overall rank
- #439
- 0 top 10 finishes
- Best category rank
- #108
- 0 category wins
- Latest change
- +6 score
- Best score 86 / 100
Method: psi-mobile-two-sample-mean-v1 · 2 samples per reading. Only readings with the same recorded method and sample count share a chart. Lab results can vary between runs.
Website performance history
Inspect every successful mobile Lighthouse lab measurement by metric and date range.
Range
Metric
Latest score
97 / 100
Higher is better
8 measurements
Use the left and right arrow keys to inspect measurements. Use Home or End to jump to the first or last measurement. Press Escape to dismiss the chart tooltip.
Nov 1, 2026Nov 7, 2026Weekly rank history
Track the product's finalized overall position on the IndieTools Speed leaderboard.
Range
MetricOverall rank
Latest rank
#439
Closer to #1 is better
1 week
Use the left and right arrow keys to inspect weeks. Use Home or End to jump to the first or last week. Press Escape to dismiss the chart tooltip.
Oct 26, 2026Domain Rating
Domain Rating by Ahrefs- DR3 (primary model)
- 0
No change since 6 Nov
- DR4
- Not measured yet
Measured · tabvault.tabplugins.top
What do DR4, DR3 and the model difference mean?
- DR4:
- Ahrefs' newer model. It gives more weight to links from sites with organic search traffic and rates a subdomain on its own links.
- DR3:
- The previous model, shown in the Ahrefs app until 1 December 2026.
- Model difference:
- DR4 minus DR3 for the same domain. The models calculate differently, so this is not growth or a drop; the “since” lines compare each model with itself.
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