open-notebook

Solid

Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs, videos, audio, web pages, Office documents), generating AI-powered notes and summaries, creating multi-speaker podcasts from research, chatting with documents using context-aware AI, searching across materials with full-text and vector search, or running custom content transformations. Supports 16+ AI providers including OpenAI, Anthropic, Google, Ollama, Groq, and Mistral with complete data privacy through self-hosting.

AI & Automation 28,028 stars 2882 forks Updated today MIT

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Skill Content

# Open Notebook ## Overview Open Notebook is an open-source, self-hosted alternative to Google's NotebookLM that enables researchers to organize materials, generate AI-powered insights, create podcasts, and have context-aware conversations with their documents — all while maintaining complete data privacy. Unlike Google's Notebook LM, which has no publicly available API outside of the Enterprise version, Open Notebook provides a comprehensive REST API, supports 16+ AI providers, and runs entirely on your own infrastructure. **Key advantages over NotebookLM:** - Full REST API for programmatic access and automation - Choice of 16+ AI providers (not locked to Google models) - Multi-speaker podcast generation with 1-4 customizable speakers (vs. 2-speaker limit) - Complete data sovereignty through self-hosting - Open source and fully extensible (MIT license) **Repository:** https://github.com/lfnovo/open-notebook ## Quick Start ### Prerequisites - Docker Desktop installed - API key for at least one AI provider (or local Ollama for free local inference) ### Installation Deploy Open Notebook using Docker Compose: ```bash # Download the docker-compose file curl -o docker-compose.yml https://raw.githubusercontent.com/lfnovo/open-notebook/main/docker-compose.yml # Set the required encryption key export OPEN_NOTEBOOK_ENCRYPTION_KEY="your-secret-key-here" # Launch the services docker-compose up -d ``` Access the application: - **Frontend UI:** http://localhost:8502 - **REST...

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Author
K-Dense-AI
Repository
K-Dense-AI/scientific-agent-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

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