Deepmark
Search saved links and media by what you remember about their contents.
Save mixed web content and retrieve it with semantic search

Bookmarkjar collects saved web content and makes it searchable by meaning. It extracts context from sources such as articles, social posts, videos, PDFs, and code repositories, then adds summaries and tags. Users can search with a description of what they remember or ask questions about material in their collection.
Browser extensions, Raycast, and MCP connections provide different ways to save or access bookmarks. Supported account integrations can bring in favorites and saved posts from other platforms. Weekly digests resurface older material, while cleanup tools flag broken links and duplicates. Bookmarkjar is useful for people whose reference material is spread across several services and difficult to retrieve later.
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