AI Agent
Last updated on
February 25, 2026
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Open Notebook is an open-source, AI-powered research and note-taking platform that gives users complete control over their knowledge workflows and data privacy. It enables researchers, students, and professionals to ingest content from PDFs, links, YouTube, and other sources into organized notebooks, then use AI to summarize, extract insights, and answer questions with source citations. Unlike cloud-based alternatives, Open Notebook supports 16+ AI providers—including fully local models via Ollama—eliminating third-party data exposure. For example, an enterprise research team can build a private competitive intelligence knowledge base and generate structured briefings without any data leaving their infrastructure.
How does Open Notebook compare to Google NotebookLM?
Open Notebook is a self-hosted, open-source alternative to Google NotebookLM. The key differences are data sovereignty—your content never leaves your own infrastructure—and model flexibility. While NotebookLM is locked to Google's models, Open Notebook supports 16+ AI providers including OpenAI, Anthropic, Ollama, and LM Studio. It also allows up to four podcast speakers versus NotebookLM's two, and exposes a full REST API for automation.
What AI providers and models does Open Notebook support?
Open Notebook supports over 16 AI providers, including OpenAI, Anthropic (Claude), Google Gemini, Ollama, LM Studio, Groq, and more. This includes full support for reasoning models like DeepSeek-R1 and Qwen3. You can configure multiple providers simultaneously and select which model to use per task, enabling cost optimization and avoiding vendor lock-in.
What content types can I import into Open Notebook?
Open Notebook supports importing web links (URLs), PDFs, plain text files, PowerPoint presentations, and YouTube videos. Content is indexed and made available for AI-powered chat, summarization, and transformation workflows within your notebooks.
Does Open Notebook have a REST API for automation?
Yes. Open Notebook exposes a comprehensive REST API that gives programmatic access to notebooks, sources, notes, and transformations. This enables teams to automate ingestion pipelines, integrate with external tools, and build custom workflows on top of the platform—something Google NotebookLM does not offer.
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Open Notebook on its own offers powerful AI-assisted research and full model flexibility, but deploying it for a team requires managing Docker infrastructure, securing multi-user access, configuring model provider credentials, and connecting it to enterprise data sources.
On Shakudo, Open Notebook runs inside the operating system for AI and data where authentication, monitoring, and data connectivity are already unified across tools. That means teams can connect Open Notebook directly to internal data lakes, document stores, and enterprise pipelines without additional integrations, allowing researchers and analysts to focus on extracting insights rather than managing environment setup.
The result is faster time-to-insight with governance handled automatically. Instead of days of DevOps configuration to provision a secure, multi-user research environment, organizations can deploy Open Notebook and begin building institutional knowledge in hours, while maintaining the flexibility to swap or extend the underlying AI models as requirements evolve.
Core Shakudo Features
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Own Your AI
Keep data sovereign, protect IP, and avoid vendor lock-in with infra-agnostic deployments.
Faster Time-to-Value
Pre-built templates and automated DevOps accelerate time-to-value.
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Flexible with Experts
Operating system and dedicated support ensure seamless adoption of the latest and greatest tools.
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