Research and maintained notes
NotebookLM’s source-grounded questions, citations, and generated study material are useful for understanding research. Its current documentation uses the Gemini Notebook name. You can also write your own notes, save answers, and use notes as selected sources.
Hjarni stores Markdown documents that connected assistants can search and maintain over time. It provides the note library and tools rather than its own model or Audio Overview generator.
Separate the consumer app from Enterprise APIs
Google documents official Enterprise APIs for creating, retrieving, listing, deleting, and sharing notebooks, plus source-management operations. They require Enterprise setup and licenses and have a different purpose from a general consumer assistant connector.
The reviewed Google guides do not document an official general-purpose MCP server for ChatGPT or Claude. Community integrations have different capabilities, permissions, and support policies. Review the specific project before giving it access to your Google account.
Notebooks can connect to Gemini
Google’s current Gemini integration lets supported users view, edit, and chat with notebooks from Gemini as well as the notebook product. It also describes an opt-in shared chat context across notebooks. Availability and sharing restrictions apply.
Hjarni instead exposes one maintained library through MCP to the compatible assistants you connect. Folders and tags organize the notes; permissions determine which notes each connection can reach. Connection alone does not make every assistant retrieve every note.
Export and sharing have specific limits
Google supports exporting notes to Google Docs. The exported copy does not sync edits or inherit the original sharing permissions. Hjarni exports active notes and attachments as Markdown and files in a ZIP; revision history and folder instructions are not part of that standard export.
Both products support sharing. Check the appropriate Google account or Enterprise rules and Hjarni’s team roles for the people and data you need to include. Neither source export should be assumed to recreate another product’s full workflow.
When each fits
Choose NotebookLM for research grounded in selected sources, citations, and Audio Overviews. Choose Hjarni for maintained Markdown notes in folders, shared team context, and direct read and write tools for connected assistants such as Claude and ChatGPT. You can use both for different stages of the same work.