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Save any web page or PDF to your LLM Wiki knowledge base Save any webpage to your wiki as clean, structured Markdown. Highlight what matters, leave comments while you read, and let Claude turn your clips into a living, connected knowledge base. How it works 1. Clip: One click turns any page into clean, readable Markdown saved directly to your wiki. 2. Annotate: Highlight key sections and add your own comments or thoughts inline. 3. Synthesize: You can connect your Claude account via Claude connectors. This enables Claude to read your highlights and annotations, then automatically builds them into a connected, cited wiki that stays up to date as you add more. No more scattered notes or forgotten tabs. Your reading becomes a growing, intelligently organized second brain. Key Features - Clean Markdown capture: Beautiful, readable Markdown from any webpage - In-page highlighting & comments: Mark what’s important and capture your thinking in context - Claude + MCP sync: Your clips and annotations are intelligently woven into a connected wiki with proper citations - Living knowledge base: The more you clip and annotate, the smarter and more interconnected your wiki becomes - Seamless workflow: Works directly with your llmwiki.app instance Built for researchers, investors, analysts, and anyone who wants their reading to compound into lasting knowledge instead of disappearing into bookmarks and browser tabs. Turn passive reading into an active, growing knowledge system.
Jun 8, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.