Open Notebook is a self-hosted, privacy-focused open-source alternative to Notebook LM that lets you work with research content using multiple AI providers, local deployment, and notebook-style organization.
Open Notebook is an open-source notebook and assistant-style application positioned as an alternative to Google's Notebook LM. The README says it is privacy-focused, fully local, and designed for working with research and learning materials in a more flexible way. It supports organizing multi-modal content, chatting with that context, and generating multi-speaker podcasts.
It addresses the need to keep research private while still using AI to organize, search, and discuss information. The project also targets users who want more control over model choice, deployment, and customization than a single-provider, cloud-only product allows.
At a high level, users run Open Notebook through Docker or other deployment options, connect it to a supported AI provider, and then add content such as PDFs, videos, audio, or web pages into notebooks. From there, the app supports searching across content, chatting with context from that material, and generating podcast-style outputs; the README also notes a REST API and customization through its open-source nature.
It is gaining attention because it sits at the intersection of AI assistants, note-taking, and self-hosted privacy-first tools, which are all active open-source categories. The README emphasizes broad provider support, local deployment, multilingual UI, and podcast generation, and the repository metadata shows strong recent momentum with over 29k stars and a large weekly star increase.
The most direct alternative mentioned is Google Notebook LM, which Open Notebook explicitly compares itself against. Based on the README, related approaches would also include self-hosted or local AI workflows using providers like Ollama, along with other note-taking or knowledge-assistant apps, though the README does not name specific competitors beyond Notebook LM.
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