open-notebook

Ingest research sources into self-hosted Open Notebook notebooks for analysis.

Updated May 24, 2026
One-click install
npx skills add https://github.com/Estrella-231/Mathematical_modeling_tongmeng --skill open-notebook-estrella-231
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: open-notebook
Source: https://github.com/Estrella-231/Mathematical_modeling_tongmeng/tree/main/.agents/skills/open-notebook
Command: npx skills add https://github.com/Estrella-231/Mathematical_modeling_tongmeng --skill open-notebook-estrella-231

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill eliminates the hassle of organizing scattered research materials by letting you ingest documents and then generate notes, summaries, and answers in a privacy-preserving, self-hosted environment.

Core Features & Use Cases

  • Notebook-based organization: Create separate notebooks to group sources, notes, and chat sessions (e.g., one notebook per paper topic).
  • Multi-format source ingestion: Ingest PDFs, Office documents, audio/video, web pages, and raw text so your research is searchable.
  • Context-aware Q&A and semantic search: Search across your knowledge base with full-text and vector search, then chat with citations grounded in your ingested sources.
  • Transformations and AI-generated outputs: Run content transformations to extract structured information or produce study notes, and generate multi-speaker research podcasts.
  • Use Case: Ingest a set of PDFs and web articles for a literature review, then ask: “Summarize the most common methodologies and compare their assumptions across the studies,” with answers grounded in the sources you uploaded.

Quick Start

Deploy Open Notebook with Docker Compose on your machine, then open the UI at http://localhost:8502 and start a notebook to ingest your first PDF.

Frequently Asked Questions about open-notebook

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

FAQPage Schema
How do I self-host research notes and ingest PDFs for a literature review?

To self-host research notes, deploy an Open Notebook instance with Docker Compose, create a notebook, and ingest PDFs or web articles. The system processes these sources to enable semantic search, context-aware chat, and AI-generated summaries grounded in your uploaded documents.

Can I run semantic search and ask questions across multiple ingested documents?

Yes, you can run semantic search across multiple ingested documents. Open Notebook supports both full-text and vector search to retrieve relevant information, allowing you to ask context-aware questions and receive answers with citations directly grounded in your sources.

Does document ingestion support web pages and audio video sources?

Yes, document ingestion supports web pages and audio video sources. Open Notebook enables multi-format source ingestion, allowing you to process PDFs, Office documents, audio, video, web pages, and raw text so your entire research library becomes searchable.

How do I generate study notes and structured information from ingested research materials?

You generate study notes from research materials by running content transformations within Open Notebook. This feature extracts structured information and produces AI-generated outputs, enabling you to summarize methodologies or compare assumptions across your ingested studies.

Do I need a self-hosted instance to use API automation for research chat?

Yes, you need a self-hosted Open Notebook instance with REST API access to use API automation for research chat. This environment handles source processing, vector and full-text search, and optional multi-provider AI configuration to support your workflows.

What is the best way to organize scattered research materials for context-aware Q&A?

The best way to organize scattered research materials is creating separate notebooks in Open Notebook. This notebook-based organization groups sources, notes, and chat sessions together, enabling context-aware Q&A and structured literature review management for each research topic.