f you love Google’s NotebookLM but hate uploading private PDFs, code, or sensitive data to the cloud, you should definitely check out this repository. <a href="https://github.com/lfnovo/open-notebook" target="_blank" rel="noopener nofollow">⁠Open Notebook on GitHub</a> is a fully self-hosted, multi-model knowledge assistant that runs completely under your control via Docker.
Here is a deep breakdown of why this open-source project caught my attention:
<ul>
<li>Absolute Data Sovereignty: Run it 100% offline. By pairing it with Ollama or LM Studio, no third-party server ever sees your research material, documents, or notes.</li>
<li>Multi-Model Freedom: Zero vendor lock-in. It natively supports 18+ AI providers out of the box, including Anthropic, OpenAI, Mistral, Google GenAI, and local reasoning models like DeepSeek-R1.</li>
<li>Upgraded Podcast Engine: Google limits you to 2 default hosts. This project lets you generate professional podcasts with 1 to 4 customizable speaker profiles and gives you full control over the script.</li>
<li>Universal Content Ingestion: Seamlessly organize, search, and chat with multi-modal assets like PDFs, YouTube videos, audio files, TXT files, and raw web pages.</li>
<li>Production-Ready Tech Stack: Built with a blazing-fast Python/FastAPI backend, Next.js/React frontend, and SurrealDB for hybrid full-text/vector database management.</li>
<li>Developer Features: It exposes a complete REST API for custom integrations and is currently building out Model Context Protocol (MCP) support for tools like Claude Desktop or VS Code.</li>
</ul>
👉 Give it a look or star the repo here: <a href="https://github.com/lfnovo/open-notebook" target="_blank" rel="noopener nofollow">https://github.com/lfnovo/open-notebook</a>

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Open Notebook is a fully self-hosted, open-source alternative to Google's NotebookLM that runs locally via Docker. It supports 18+ AI providers including Anthropic, OpenAI, Mistral, and local models via Ollama or LM Studio, ensuring complete data privacy. Key features include multi-modal content ingestion (PDFs, YouTube, audio, web pages), a customizable podcast generation engine with up to 4 speaker profiles, a REST API for integrations, and upcoming MCP support. The tech stack uses Python/FastAPI, Next.js/React, and SurrealDB for hybrid full-text/vector search.

Open Notebook: The 100% Local, Open-Source NotebookLM Alternative