Most extensions are basic web clippers. Kortex acts as an integration layer, bridging active AI chats with NotebookLM storage. Its standout features include Native LLM Archiving, which adds a one-click import button directly inside ChatGPT, Claude, and Gemini. Unlike others, we focus on data freedom with bulk exports to Markdown, and precision sniping to save specific text blocks rather than whole messy webpages.
NotebookLM has great features, but it is still lagging in many aspects like letting the users download the chat, particular responses, or even the studio notes. Kortex helps user to export these things easily. Also, you can import your LLM chats directly to notebookLM by clicking only one button. Kortex also offers many features along with these above.
Wow, Kortex looks amazing! The NotebookLM integration with one-click archiving from ChatGPT is seriously clever. How does it handle overlapping or conflicting sources from multiple chats?
Are there plans to expand beyond Chrome to support other browsers like Firefox or Edge？
@yakshgandhi Kortex solves such a practical problem. NotebookLM is powerful, but managing sources across multiple projects can get messy fast. Having a centralized way to organize, import, and export those sources with a click is exactly the kind of workflow improvement that saves hours over time.
I'm curious, does Kortex support tagging or categorization for sources? And when you export, can you bundle related sources together for specific projects or research themes?
Also, how does it handle different source types, like PDFs versus web links versus audio files? Does the organization system adapt to the type of content?
Really smart addition to the NotebookLM ecosystem!
How does export work? Can I bulk export NotebookLM sources to Markdown/JSON and keep tags/folders, and do you handle de‑duplication if I import the same ChatGPT/Claude thread more than once?
NotebookLM is powerful but there are still those tiny good-to-have features that we usually miss.... and Kortex seems to be bridging that gap... Interesting...
Best luck on the launch!
Smart move. NotebookLM is great but feels incomplete without easy export. Building on top is the play.
Question - does it work with other AI chat sources too? Or just NotebookLM for now? Also, any plans for a web version instead of just chrome extension?
Clean product! 🙋
Quite amazing. Do you also preserve the text formatting of the chat generated by LLMs?
Congrats on the launch! The 'Chat with PDFs' feature is crucial for a second brain app.
I’m curious, how are you handling the context retrieval for larger documents? Do you have a way to prevent the AI from hallucinating details not found in the source text? I’m tackling this exact challenge right now with my own tool (SquarePact) for legal contract review, so I'm always interested in how other makers ensure high-fidelity retrieval.
Excited to try out the new workflows!
Clean concept. But what’s the real edge here — is it the native LLM archiving or the precision-sniping workflow? Also, how do you handle formatting consistency when clipping AI chats, and what stops this from becoming just another fancy web clipper? Curious how Kortex stays genuinely differentiated long-term
