Tab Memory Cleaner

THE PROBLEM: Sites like LinkedIn, Facebook, and Twitter accumulate massive amounts of cached data — IndexedDB, Cache Storage, Service Workers — that eat 1-2GB+ of RAM. Chrome's built-in Memory Saver only sleeps inactive tabs. It doesn't clean the bloat. THE SOLUTION: Tab Memory Cleaner gives you 3 levels of cleanup, accessible via right-click menu, popup, or keyboard shortcuts: ⚡ SOFT CLEAN (Alt+1) Hard reload the current tab. Flushes JavaScript memory. You stay logged in. 🧹 DEEP CLEAN (Alt+2) Clears cache, IndexedDB, localStorage, Cache Storage, and Service Workers for the current site, then reloads. You stay logged in. This is what actually frees the 1.9GB. 💣 NUKE & RELOAD (Alt+3) Clears EVERYTHING including cookies. Like visiting the site for the first time. Use when a site is completely broken. 💤 DISCARD OTHER TABS (Alt+0) Put all other tabs to sleep instantly. Keep only your active tab. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ALSO INCLUDES: • Discard tabs to the left / right • Visual popup showing all tabs and their status • Action history (last 50 cleanups) • Works on any website ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PRIVACY & SECURITY: ✅ Zero data collection — nothing leaves your browser ✅ Zero network requests — no analytics, no tracking ✅ Zero dependencies — no npm packages, no frameworks ✅ Open source — https://github.com/salencar-lang/tab-memory-cleaner ✅ Manifest V3 — latest Chrome security standard ✅ ~300 lines of JavaScript total ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ PERMISSIONS EXPLAINED: • contextMenus — Add items to right-click menu • tabs — Read tab titles and URLs for the popup display • browsingData — Clear cache/cookies/storage per site • storage — Save your action history locally • <all_urls> — Required to clear data for any website ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ KEYBOARD SHORTCUTS: Alt+1 → Soft Clean Alt+2 → Deep Clean (recommended for heavy sites) Alt+3 → Nuke & Reload Alt+0 → Discard all other tabs Customize shortcuts at: chrome://extensions/shortcuts ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Made with frustration after watching LinkedIn consume 1.9GB of RAM.