According to AlphaMoat, as of 2026-09, the Chrome extension RagTab has 15 users (-16.7% MoM), rated 5 (1 reviews) — ranked #8,138 of 9,324 AI browser extensions, and #2,112 of 2,418 in General AI.
Chat with your open tabs using local RAG. Powered by Gemini, OpenAI or Claude — private, in-browser, zero data leaves your device. RagTab: Privacy-First AI Tab Companion RagTab is a privacy-first Chrome extension combining a powerful tab manager with local AI that answers questions about your open tabs—all processed in-browser, no raw data leaves your device.
Tab Power: Live search, bulk actions (close/move/pin/discard), window color-coding, drag-and-drop, duplicate detection, keyboard nav, sessions.
AI Magic: Sync tabs → extracts/chunks/embeds locally → ask "Where's React Server Components info?" → cited answers from top snippets via Gemini/OpenAI/Anthropic.
What Makes It Different ?? Most tab managers just close tabs. Most AI assistants just chat. RagTab does both — it indexes the actual content of your open tabs locally using vector embeddings, then lets you ask natural language questions like:
"Which tab had the article about React Server Components?" "Summarize what I've been reading about climate policy" "Where did I see that pricing comparison for cloud providers?" All indexing happens in your browser. Only the top matching text snippets ever reach an AI provider — never full page content.
v1.0.0 — Initial Release Split-pane UI: Tab Manager (left) + AI Chat (right) Multi-provider AI: Gemini, OpenAI, Anthropic Full tab manager: search, multi-select, bulk actions, drag & drop Duplicate tab detection Session save & restore List and grid view layouts Keyboard navigation (↑↓, Enter, Escape, Ctrl+A) Per-tab: pin, move, close on hover Window color coding and custom names Privacy-first local vector index (IndexedDB) Service worker keepalive for long embedding jobs
v1.0.1 — SEO & Branding Update
v1.0.2 — RagTab Custom LLM Provider (FREE)
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+ CompareData month: 2026-09 · User counts and ratings come from public Chrome Web Store data, aggregated monthly. See methodology.