Grimoire captures, extracts, and indexes the content behind your bookmarks so you can search what pages actually say, not just their titles and URLs. The ingestion pipeline accepts links from the web UI, REST API, MCP server, browser bookmarklet, or bulk import, then fetches each page and extracts readable content using specialized parsers for GitHub repos, GitHub issues, StackOverflow threads, YouTube transcripts, PDFs, and standard web articles. Everything stores locally in SQLite with file-based content archives. Search operates in three modes: FTS5 keyword matching for exact terms, semantic embedding search for meaning-based retrieval using vector similarity, or a hybrid ranking mode combining both. Optional AI providers including OpenAI, Ollama, Anthropic, DeepSeek, and any OpenAI-compatible endpoint generate automatic tags, summaries, and embeddings without being required for core functionality. The interface built with React 18, Vite, TypeScript, Tailwind CSS, and Radix UI supports categories, nested tags, notes, archive and trash states, read-later flags, and multi-user isolated spaces. A single Bun-powered Hono process serves both the compiled frontend and the REST API on port 3210, requiring only one Docker container and a SQLite volume. Backup and restore export bookmarks, content, settings, and metadata as portable ZIP archives. Nearly 3,000 GitHub stars reflect growing adoption among developers and researchers. Running on a VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.