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Yezez9
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open-notebook

Organize research materials and generate AI insights from PDFs, audio, video, and web pages.

Updated Mar 10, 2026
Search Tags:#research#ai assistant#document analysis#privacy#notebook#self-hosted#podcast generation
One-click install
npx skills add https://github.com/Yezez9/Research-Agent --skill open-notebook-yezez9
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: open-notebook
Source: https://github.com/Yezez9/Research-Agent/tree/main/scientific-skills/open-notebook
Command: npx skills add https://github.com/Yezez9/Research-Agent --skill open-notebook-yezez9

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a self-hosted, open-source alternative to Google's NotebookLM, enabling users to organize research materials, ingest diverse content, generate AI-powered insights, and chat with documents privately.

Core Features & Use Cases

  • Organize Research: Create notebooks to manage sources, notes, and chat sessions.
  • Ingest Diverse Content: Supports PDFs, videos, audio, web pages, and Office documents.
  • AI-Powered Insights: Generate notes, summaries, and engage in context-aware chat.
  • Podcast Generation: Create multi-speaker podcasts from research materials.
  • Self-Hosted Privacy: Maintain complete data sovereignty by running on your own infrastructure.
  • Use Case: A researcher can upload dozens of academic papers, audio interviews, and web articles into a single notebook, then ask the AI to summarize key findings, identify conflicting viewpoints, or even generate a podcast episode discussing the research.

Quick Start

Deploy Open Notebook using Docker Compose by downloading the docker-compose.yml file and running docker-compose up -d after setting the OPEN_NOTEBOOK_ENCRYPTION_KEY environment variable.

Frequently Asked Questions about open-notebook

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a self-hosted AI research assistant for private document analysis?▼

You can build a self-hosted AI research assistant by deploying this open-source platform via Docker Compose, which ingests PDFs, audio, and video into organized notebooks for context-aware chat while maintaining complete data privacy on your own infrastructure.

What is the best way to generate podcasts from research papers and documents?▼

Generating podcasts from research papers is achieved by ingesting your diverse materials into a notebook and using the AI to create multi-speaker audio episodes that discuss the summarized findings and conflicting viewpoints of your sources.

Does this self-hosted notebook platform support ingesting audio and video sources?▼

Yes, the self-hosted notebook platform supports ingesting audio and video sources alongside PDFs, web pages, and Office documents, allowing you to consolidate diverse multimedia research materials into a single context-aware chat environment.

Can I use multiple AI providers for context-aware chat on my own infrastructure?▼

Yes, you can use over 16 AI providers for context-aware chat on your own infrastructure, ensuring your data privacy is maintained without relying on external hosted services for generating summaries or insights.

How do I organize research materials and web pages for AI summarization?▼

You organize research materials and web pages for AI summarization by creating dedicated notebooks to manage sources, notes, and chat sessions, enabling the AI to identify key findings and conflicting viewpoints across all ingested content.

How does the REST API extend research notebook functionality?▼

The REST API extends research notebook functionality by providing programmatic access to manage sources, trigger AI-powered insights, and integrate document analysis workflows into external applications while retaining self-hosted data privacy.

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