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lfnovo/open-notebook

An Open Source implementation of Notebook LM with more flexibility and features

stars
37k
Language
TypeScript
GitHub
Source and compliance noteLast synced: Aug 12, 2026

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Original GitHub sourceMethodologyEditorial Policy

Overview

Open Notebook is an open-source, self-hosted alternative to Google's Notebook LM, offering a privacy-focused research assistant that supports multiple AI providers, multi-modal content ingestion, podcast generation, and full customization. Its core value proposition is data sovereignty, model flexibility, and extensibility for AI-powered research workflows.

Installation

Quick start: install Docker Desktop, then run `docker run -p 3000:3000 ghcr.io/lfnovo/open-notebook` (or follow the detailed deployment docs in the repository).

Problem solved

It addresses the lack of privacy and vendor lock-in in Notebook LM by allowing users to self-host and control their data. It also solves the limitation of being tied to Google's models by supporting 18+ AI providers, enabling cost optimization and local execution. Additionally, it provides more flexible podcast generation and content transformation capabilities.

What you can build

Developers can build custom research assistants that ingest PDFs, videos, audio, and web pages, then chat with the content, generate multi-speaker podcasts, and perform full-text/vector search. The full REST API enables automation and integration into larger workflows. With open-source code, developers can extend features, add new providers, and deploy on any infrastructure, making it suitable for both personal knowledge management and enterprise research platforms.

Community sentiment

Positive

No community feedback yet.

Concerns

No concerns documented yet.

Bottom line

Open Notebook is ideal for developers, researchers, and privacy-conscious users who want a self-hosted, customizable AI research assistant with model flexibility and cost control. It is not suitable for non-technical users seeking a plug-and-play solution or those who require advanced citation features. The key trade-off is between data sovereignty and customization versus the convenience and polish of Google's hosted service.

Analyzed by Git-Stars - 8/12/2026