GitHub Repos intermediate 2 min read Jun 6, 2026
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Open Notebook: Google NotebookLM's open-source alternative

“Open Notebook has 26,029 stars and a "100% local" headline, but its maintainer says some operations still require internet access.”

Open Notebook: Google NotebookLM's open-source alternative
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Source · github.com

“"Currently, Open Notebook requires internet access for certain operations." — maintainer issue #374, https://github.com/lfnovo/open-notebook/issues/374”

You know that feeling when your research, notes, and questions live inside a service that controls the models, hosting, and workflow? You may want to keep sensitive material on infrastructure you control, choose a cheaper or local AI model, and automate research tasks through an API. Open Notebook gives you that control in a NotebookLM-style interface. The trade-off is that you become responsible for deployment, model setup, updates, backups, and security.

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Think of Open Notebook as a private research desk with a filing cabinet, an assistant, and a podcast booth. You add a PDF, web page, audio file, or other source; the backend extracts and splits the content, creates embeddings, finds topics, and stores everything in SurrealDB. When you search or ask a question, FastAPI retrieves relevant text and sends the task through Esperanto to your chosen hosted or local AI model. Next.js shows the results, while Surreal-Commands handles longer jobs in the background and LangGraph coordinates multi-step AI flows.

01
Provider choice — you can switch among 18+ hosted and local AI providers instead of tying your research workflow to a single vendor.
02
Self-hosted research workspace — you keep notebooks, sources, notes, and chats on infrastructure you control.
03
Multimodal source ingestion — you can organize PDFs, videos, audio, web pages, Office documents, and text in the same research workflow.
04
Full-text and vector search — you can find exact phrases and semantically related passages across your stored material.
05
Custom transformations and podcasts — you can turn source material into summaries, extracted insights, or podcasts with 1–4 speakers.
06
REST API and MCP integration — you can automate research tasks and connect the workspace to compatible tools.
Who it’s for

If you build or operate self-hosted AI tools and want a NotebookLM-style workspace with model choice, Open Notebook deserves a test. It also fits your workflow if privacy, API access, custom transformations, or local-model support matters more than zero-maintenance setup. It is not for you yet if you need verified air-gapped operation, a commercial support agreement, basic setup with no troubleshooting, or mature citations for research-sensitive work.

Worth exploring

Yes, explore it as a self-hosted research workspace or internal proof of concept. The project shows active maintenance, 37 releases on the repository page, a June 2, 2026 release, and 48 contributors, but open air-gap work, known provider failures, basic citations, past high-severity security fixes, and mixed setup reports keep it in beta territory. Do not treat the "100% local" claim as verified until you test the exact workflow with external networking blocked.

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