TabLab turns your tabs, bookmarks and history into a local-first AI analytics workspace. It analyzes browser data and helps understand it visually: what topics you collect, how your interests shift over time, which pages are related, and what hidden patterns exist across your saved links. AI: classify, tagging, embeds and summary can run in browser Multiple visualizations: Semantic Map, Session story, Activity Heatmap, etc. AI-powered sidebar with page summarization and recent tab history
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Maker
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TabLab is an experimental open-source browser extension.
Experimental features include:
WebLLM integration (browser local LLMs)
Transformers.js (browser local embeddings processing)
Chrome embedded Gemini Nano support as LLM
Non-typical visualizations
Still very early, so I’m mainly trying to understand:
whether the overall idea makes sense, which parts feel actually useful, and which features just feel like AI noise.
Would really appreciate honest feedback, bug reports, weird edge cases, or UX criticism.
GitHub issues/feedback are especially welcome.