lfnovo/open-notebook

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.

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.