Kurator

Turn browsing into a 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗯𝗮𝘀𝗲 your AI tools can actually use with Kurator AI made discovery cheap. It did not solve what happens next. You can spend an hour researching and come away with excellent sources, arguments, and insights - and then watch all of it vanish: - Into a closed tab, - Into a bookmark folder you will never reopen - Into a chat history you would have to re-read to mine. The problem was never finding information. It is that nothing structures it at the moment you decide it matters. Kurator is a browser extension that closes that gap. It sits between the open web and everything you do downstream, turning what you read into structured, described, tagged research - automatically, at the point of capture - so it is ready to be queried, synthesized, and published later. 𝑪𝒂𝒑𝒕𝒖𝒓𝒆 → 𝑺𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆 → 𝑹𝒆𝒖𝒔𝒆. 𝟭. 𝗖𝗔𝗣𝗧𝗨𝗥𝗘 — 𝗮𝗻𝘆𝘁𝗵𝗶𝗻𝗴 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗼𝗽𝗲𝗻, 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗸𝗲𝗲𝗽 Click Kurator on any page and save it as a structured post, not a naked link. - Articles, blog posts, docs, and PDFs - YouTube videos, with full transcripts and timestamps - AI conversations and research sessions - Whole projects, organized into folders and nested collections Capture happens in your browser, from the page you are actually reading. That matters more than it sounds: server-side scrapers get blocked by paywalls, login walls, and sites that refuse bots. Kurator reads the page you already have open, so the sources other tools cannot reach are the ones you keep. 𝟮. 𝗦𝗧𝗥𝗨𝗖𝗧𝗨𝗥𝗘 — 𝗔𝗜 𝘄𝗿𝗶𝘁𝗲𝘀 𝘁𝗵𝗲 𝗱𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻 𝘄𝗵𝗶𝗹𝗲 𝘆𝗼𝘂 𝘀𝗮𝘃𝗲 This is the part that makes a library worth having. When you save, Kurator runs your prompt against the content and generates the description for you. Not a generic summary — the exact output shape you defined. - Write and save your own prompts: - Extract methodology, sample size, and limitations. - Pull the strategic implications and the risks. - Summarize this for the newsletter with three candidate headlines. - Break this video into sections with timestamps. Pick which prompt runs per save, so a folder of twenty sources comes back in one consistent format instead of twenty different ones, then - Add tags, author, publisher, and search context on the way in - Clean up long video transcripts: strip filler, section them, headline them, extract the recommendations You direct. AI does the structuring. Every item lands described, tagged, and searchable, filterable by headline, description, author, publisher, or tag across your whole library or inside a single folder. 𝟯. 𝗥𝗘𝗨𝗦𝗘 — 𝗼𝗻𝗲 𝗰𝘂𝗿𝗮𝘁𝗲𝗱 𝗹𝗶𝗯𝗿𝗮𝗿𝘆, 𝗲𝘃𝗲𝗿𝘆 𝗱𝗼𝘄𝗻𝘀𝘁𝗿𝗲𝗮𝗺 𝘁𝗼𝗼𝗹 A structured library is only valuable if it feeds something. Kurator is built to be the source, not the destination. - 𝗖𝗹𝗮𝘂𝗱𝗲 — connect your Kurator account via our MCP server with your Claude account and let Claude search, read, and write to your folders directly. Your research becomes context Claude can query across sessions instead of something you paste in again every time. You can ask Claude to perform a search, save each finding to a specific folder and run one of your custom prompts before saving the post! - 𝗡𝗼𝘁𝗲𝗯𝗼𝗼𝗸𝗟𝗠 — sync selected folders as sources. Curate and re-curate in Kurator; your notebook stays current. Edit your sources in Kurator, have complete control over the content and use the tags to address your conrent. - 𝗞𝗖𝗵𝗮𝘁 — turn any set of collections into the knowledge base for a source-grounded AI assistant that answers only from what you trusted enough to save. - 𝗬𝗼𝘂𝗿 𝘄𝗲𝗯𝘀𝗶𝘁𝗲 — publish a collection as an embeddable, auto-updating gallery. Pairs naturally with 𝒗𝒊𝒃𝒆-𝒄𝒐𝒅𝒊𝒏𝒈 𝒑𝒍𝒂𝒕𝒇𝒐𝒓𝒎𝒔 𝒍𝒊𝒌𝒆 𝑳𝒐𝒗𝒆𝒃𝒂𝒍𝒆.𝒅𝒆𝒗, where each saved post can generate its own page — video, transcript, and description included — optimized for search and for AI answer engines. Curate once. Point it wherever you need it. 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀 Professionals and researchers ✅ Use AI to discover sources and send them directly to Kurator through Cloud MCP ✅ Use your curated folders as context for your Claude chats ✅ Build libraries of trusted sources for projects ✅ Keep research from multiple AI sessions organized in one place ✅ Sync selected research with NotebookLM or KChat ✅ Publish useful collections as client-facing resource hubs ✅ Upload Research folders to your favorite LLM for deeper analysis Students and lifelong learners ✅ Organize tutorials, PDFs, articles, and videos into searchable collections ✅ Turn scattered research into structured topic libraries ✅ Sync selected sources with NotebookLM for deeper analysis ✅ Keep valuable AI research available long after the original conversation ends Content creators and curators ✅ Maintain research folders for individual topics and projects ✅ Use AI to find sources and save them directly to Kurator ✅ Analyze saved research with reusable AI prompts ✅ Sync research to KChat for source-based Q&A ✅ Publish curated resource libraries on your website 𝗛𝗼𝘄 𝗞𝘂𝗿𝗮𝘁𝗼𝗿 𝗶𝘀 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 ✅ AI research doesn't end with the chat Cloud MCP connects AI research to a persistent knowledge system, so valuable sources do not have to disappear inside individual conversations. ✅ Built for research, not just bookmarking Kurator is designed around 𝗰𝗮𝗽𝘁𝘂𝗿𝗶𝗻𝗴, 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗶𝗻𝗴, 𝗮𝗻𝗮𝗹𝘆𝘇𝗶𝗻𝗴, 𝗼𝗿𝗴𝗮𝗻𝗶𝘇𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗿𝗲𝘂𝘀𝗶𝗻𝗴 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 - not simply storing links or freeform notes. ✅ Connects your research workflow Kurator can sit between the tools you already use: 𝗔𝗜 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 → 𝗞𝘂𝗿𝗮𝘁𝗼𝗿 → 𝗡𝗼𝘁𝗲𝗯𝗼𝗼𝗸𝗟𝗠 → 𝗖𝗹𝗮𝘂𝗱𝗲 → 𝗪𝗲𝗯𝘀𝗶𝘁𝗲 → 𝗞𝗖𝗵𝗮𝘁 Discover information with AI, manage it in Kurator, analyze it with your preferred research tools, or publish it for others. ✅ Private knowledge can become reusable knowledge The same research you organize privately can later power AI assistants, NotebookLM notebooks, or public resource collections—while you decide what gets shared. 𝐑𝐞𝐚𝐝𝐲 𝐭𝐨 𝐛𝐮𝐢𝐥𝐝 𝐚 𝐛𝐞𝐭𝐭𝐞𝐫 𝐀𝐈 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰? Stop losing valuable research in tabs, bookmarks, and AI chat histories. Research with AI. Save it to Kurator. Organize it once. Reuse it anywhere. A…