Open-source, self-hostable alternative to Google NotebookLM with multi-provider AI, local models and multi-speaker podcasts.
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Open Notebook is a self-hosted research assistant modelled on Google's NotebookLM. It ingests PDFs, videos, audio, web pages and other content, lets users chat with their sources, and returns answers that cite the sources, notes and insights used. It also offers full-text and vector search across the stored content.
It supports more than 20 AI providers, including OpenAI, Anthropic, Google, Mistral, Ollama and any OpenAI-compatible server such as LM Studio or vLLM, so it can run fully locally or with hosted models. Other features include custom and built-in content transformations, podcast generation with one to four speakers and custom speaker profiles, a full REST API, and a UI in about 14 languages.
It is deployed with Docker Compose, running a SurrealDB database and an app service (UI, API and background worker). The UI is on port 8502 and the API on port 5055. Users add provider API keys or a local model base URL in the UI. There is no password by default, so shared networks require binding to localhost or setting OPEN_NOTEBOOK_PASSWORD. Built with Python, Next.js, React, SurrealDB and LangChain; the code is MIT-licensed.
Watch the moment: the exact second top creators show it. Videos load only when you press play, via youtube-nocookie.com.
An open-source, locally runnable NotebookLM clone that ingests documents, answers questions with references, generates customizable podcasts and runs transformations. Works with hosted or local models (Ollama, LM Studio); the creator showed his model configuration.
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