back to top
HomeSoftwareAI ToolsKnowNote: A Local-First Open Source Alternative to Google NotebookLM

KnowNote: A Local-First Open Source Alternative to Google NotebookLM

- Advertisement -

File Information

FileDetails
NameKnowNote: Local-First AI Knowledge Notebook
Versionv1.1.0
File SizeWindows: 124MB (.exe) • macOS (Intel): 153MB (.dmg) • macOS (Apple Silicon): 147MB (.zip)
PlatformsWindows • macOS (Intel & Apple Silicon)
LicenseOpen Source (GNU GPL-3.0)
Official RepositoryGitHub KnowNote

Description

KnowNote is a local-first, open-source desktop app that lets you turn your documents into an intelligent, conversational knowledge base, similar to Google NotebookLM

It’s built for learners, researchers, and developers who want full control over their data and prefer using their own LLM APIs instead of uploading documents to external servers. Everything runs locally on your machine, and there’s no Docker, no backend setup, and no complicated deployment involved.

KnowNote takes a simple idea, chat with your documents & makes it accessible through a clean desktop app. Upload PDFs, Word files, presentations, or web pages, then ask questions, summarize content, and reason over your notes using Retrieval-Augmented Generation (RAG).

If you like the concept behind NotebookLM but want privacy, flexibility, and ownership, KnowNote is a good open-source alternative.

Use Cases

  • Studying from PDFs, slides, and research papers
  • Building a personal knowledge base from documents
  • Summarizing long reports or articles using AI
  • Learning technical topics with source-aware answers
  • Research workflows without cloud dependency

Screenshots

Features of KnowNote

FeatureDescription
Document-Based Knowledge BaseImport PDFs, Word files (.docx), PowerPoint presentations (.pptx), and web pages to build a local knowledge library.
AI-Powered Q&A (RAG)Chat with your documents using Retrieval-Augmented Generation, with answers linked to exact source references.
Multiple LLM ProvidersSupports different LLM APIs such as OpenAI, DeepSeek, Ollama, and others through a provider-based design.
Local-First & Privacy-FriendlyAll documents, embeddings, and notes are stored locally on your system with no mandatory cloud usage.
Semantic Vector SearchUses sqlite-vec for fast and accurate semantic search across large document collections.
Desktop AppElectron-based desktop application, no Docker, no backend server, no complex setup required.
Structured Notes & Mind MapsGenerate organized notes and visual mind maps directly from your documents.
Cross-Platform SupportAvailable for Windows and macOS (Intel & Apple Silicon).

System Requirements

PlatformMinimum Specification
WindowsWindows 10 or newer, 64-bit, 4 GB RAM
macOSmacOS 11 or newer (Intel or Apple Silicon), 4 GB RAM

How to Install KnowNote?

Before installation, scroll down to the Download Section and choose the correct installer for your system.

Windows (.exe)

  1. Download the KnowNote Setup (.exe) file
  2. Double-click the installer
  3. Follow the setup instructions
  4. Launch KnowNote from the Start Menu

macOS (Intel)

  1. Download the macOS Intel (.dmg) file
  2. Open it and drag KnowNote into the Applications folder
  3. Launch KnowNote from Applications
  4. If blocked, right-click → Open

macOS (Apple Silicon)

  1. Download the macOS ARM64 (.zip) file
  2. Extract the archive
  3. Drag KnowNote into the Applications folder
  4. Launch the app normally

After Launching the application, go to settings and connect with any Provider including local OLLAMA and done!

Download KnowNote Open Source Alternative to Google NotebookLM

Conclusion

KnowNote proves that powerful AI-assisted research tools don’t need to live in the cloud. By keeping everything local, flexible, and open-source, it offers a refreshing alternative to closed platforms like NotebookLM.

If you value privacy, control, and simplicity & want to turn your documents into something you can truly think with, KnowNote is well worth trying.

LEAVE A REPLY

Please enter your comment!
Please enter your name here

YOU MAY ALSO LIKE
Llamafile to Run AI Models Locally on Your PC with Just One File

Llamafile: Run AI Models Locally on Your PC with Just One File

0
Running a local LLM usually means a Python environment, CUDA drivers, and at least one Stack Overflow tab open before you've even started. llamafile skips all of that. Mozilla.ai packaged the whole runtime like model weights and everything into a single executable. On Windows you rename it to .exe. On Mac or Linux you chmod +x it. That's the setup.
Onyx Open-Source AI Platform for RAG, Agents & LLM Apps

Onyx: Open-Source AI Platform for RAG, Agents & LLM Apps

0
Most LLM tools feel like demos. You ask something, get an answer, and that’s about it. Onyx feels more like something you’d actually build on. It sits between you and the model and adds the stuff you end up needing anyway. Search, agents, file output, even running code. You can plug in OpenAI, Anthropic, or run your own models with Ollama. Swap things out when you feel like it. The agents part is what makes it more powerful. You can give them instructions, let them browse the web, generate files, call external tools. It can get heavy if you run the full version. There’s indexing, workers, caching, all that. But if you’re serious about using LLMs beyond basic chat, that’s kind of the point. Lite mode exists if you just want to poke around without setting up a whole system.
Another Open Source Android Screen Mirror & Controller for Desktop

Another – Open Source Android Screen Mirror & Controller for Desktop

0
Another puts your Android screen directly on your desktop and lets you control it entirely from your keyboard and mouse. It mirrors in real-time over USB or WiFi, forwards audio, lets you type directly into the device, and records your screen as a .webm file. There's also a macro system — record a sequence of interactions once, replay it whenever you need it. Useful for testing, demos, or anything repetitive.

Don’t miss any Tech Story

Subscribe To Firethering NewsLetter

You Can Unsubscribe Anytime! Read more in our privacy policy