Overview
Open Notebook is an open-source, self-hostable research notebook platform that prioritizes data privacy and model choice. It supports multiple AI providers, organizes multimodal content (PDFs, audio, video, web pages) into searchable research assets, and exposes a REST API for integration and automation.
Key features
- Privacy-first design with local deployment options.
- Multi-model provider support for flexibility and cost control.
- Multimodal content ingestion and vector/full-text search.
- Dockerized deployment and comprehensive API for integrations.
Use cases
- Building private research knowledge bases and note repositories.
- Context-aware conversational assistants powered by user data.
- Prototyping and integrating multimodal workflows with multiple model backends.
Technical highlights
- Next.js frontend with FastAPI backend, pluggable content transformation pipelines.
- Vector search and RAG-ready architecture for retrieval-augmented workflows.
- MIT-licensed, community-driven project suitable for extension and integration.