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Deepmark

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Deepmark turns browser bookmarks, X bookmarks, Instagram saves, and YouTube lists into a private AI-searchable library with transcripts, OCR, summaries, and MCP access.

Added on August 27, 2026

Deepmark Screenshot

Product Information

What is Deepmark?

Deepmark is a private bookmark and saved-media search tool for people who save useful links but cannot find them again later. It imports browser bookmarks and syncs saved content from X, Instagram, and YouTube, then indexes the text, audio, video frames, screenshots, summaries, and tags. Users can search in natural language across vague memories such as what was said in a video or what appeared on screen. Deepmark also exposes the personal library through an MCP server so AI agents can search a user-owned knowledge base.

How to use Deepmark?

  1. Install the Chrome extension and connect the sources you want to sync.
  2. Import existing browser bookmarks and enable X, Instagram, or YouTube saves as needed.
  3. Let Deepmark read, transcribe, describe, OCR, summarize, and tag each saved item.
  4. Search the library with natural language, keywords, source filters, or half-remembered details.
  5. Connect the MCP endpoint to an AI client if you want agents to search your saved library.

Core Features

  • Multi-source capture - Imports browser bookmarks and syncs X, Instagram, and YouTube saves.
  • Deep content indexing - Reads page text, captions, audio, video frames, screenshots, OCR, and summaries.
  • Natural language recall - Finds saved items from vague descriptions rather than exact titles.
  • Fast private library search - Searches large personal libraries quickly with semantic and keyword layers.
  • MCP server access - Lets compatible AI clients search the user library through scoped OAuth access.
  • Cross-language transcription - Makes saved audio and video searchable across many languages.

Use Cases

  • Personal research library - Turn years of bookmarks and saved media into searchable reference material.
  • Creator idea recall - Find reels, videos, or posts by describing what happened in them.
  • AI agent context - Give agents controlled access to personal saved knowledge through MCP.
  • Bookmark cleanup - Replace folder hunting with semantic search over the actual content.

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