
Open Notebook
Open-source, privacy-first alternative to Google NotebookLM with multi-model AI support, podcast generation, and self-hosting.
Open source alternative to:
Open Notebook is an open-source, privacy-first implementation of Notebook LM that gives you complete control over your research and AI-powered workflows. Built for individuals and teams who want to keep their sensitive data private, it supports self-hosting via Docker or local deployment, ensuring your research never leaves your infrastructure.
Unlike proprietary alternatives that lock you into a single AI provider, Open Notebook supports 18+ providers including OpenAI, Anthropic, Ollama, LM Studio, and more. It offers multi-modal content organization (PDFs, videos, audio, web pages), intelligent full-text and vector search, context-aware chat, and advanced multi-speaker podcast generation. The project includes a modern Next.js frontend, a comprehensive REST API, and fine-grained context control for AI interactions.
Frequently Asked Questions
How is Open Notebook different from Google's NotebookLM?
Open Notebook is an open-source, privacy-first reimplementation of NotebookLM, so your research and AI workflows stay on your own infrastructure instead of Google's. You self-host it via Docker or local deployment, and it gives you fine-grained control over what context is shared with the AI. It is MIT-licensed with a modern Next.js frontend and a comprehensive REST API.
Which AI providers can Open Notebook use?
Open Notebook supports 18+ AI providers including OpenAI, Anthropic, Ollama, and LM Studio, so you are not locked into a single model vendor. Because local providers like Ollama and LM Studio are supported, you can run your research workflows entirely offline. This provider flexibility is a deliberate contrast to proprietary notebooks that force you onto one AI service.
What content and features does Open Notebook support?
It supports multi-modal sources including PDFs, videos, audio, and web pages, organized into a unified research workspace. Search combines full-text and vector search, with context-aware chat grounded in your sources. It also includes multi-speaker podcast generation, letting you turn your notes and documents into an audio briefing.
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Project Details
Repository details
Updated 9/8/2026, 6:00:28 AM
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