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Quivr AI

Imagine having a second brain in the cloud, ready to store and retrieve your unstructured information effortlessly.

That’s precisely what Quivr, an innovative open-source project crafted by Stan Girard, aims to provide.

In this blog post, we’ll explore the concept of Quivr, its key features, technical foundation, and how to set it up on your local machine.

What is Quivr?

Quivr is a cloud-based tool designed to serve as your “second brain.” It excels at managing various data types, including text, images, code snippets, PDFs, audio, and video.

What sets Quivr apart is its integration with generative AI, making it a powerful ally for information generation and retrieval.

Here’s what makes Quivr stand out:

Universal Storage

From text to multimedia, Quivr effortlessly handles diverse data types, making it your one-stop solution for information management.

Generative AI Integration

Quivr leverages advanced AI to assist in both storing and retrieving information, streamlining the process and saving you time.

Speed and Efficiency

With Quivr, rapid and efficient data access is guaranteed, ensuring you find what you need when you need it.

Security Assurance

Your data is securely stored in the cloud, putting you in control of your valuable information.

File Compatibility

Quivr supports a wide range of file types, ensuring your various data sources are seamlessly integrated.

Setting Up Quivr Locally

If you want to harness the full potential of Quivr, setting it up on your local machine is a straightforward process. Here’s a concise guide:


Before you begin, make sure you have the following:

  • Python 3.10 or higher
  • Pip
  • Virtualenv
  • A Supabase account, including a new project, API key, and Project URL

Installation Procedure

  1. Clone the Quivr repository to your local machine and navigate to the Quivr directory.
  2. Create a new virtual environment within the Quivr directory.
  3. Activate this virtual environment.
  4. Install Quivr’s dependencies.
  5. Copy Streamlit’s example secrets file.
  6. Populate the secrets.toml file with your Supabase URL, Supabase service key, and OpenAI API key.
  7. Execute the migration scripts on your Supabase database via the Supabase web interface.
  8. Launch the Quivr app with the command: streamlit run main.py.

Voila! Quivr is now up and running on your local machine, ready to assist you in managing your information effectively.


Quivr represents the fusion of generative AI’s capabilities with the convenience of cloud storage. It offers a multifaceted platform for managing various data types, making it an ideal companion for those looking to boost productivity.

Best of all, it’s open-source and free to use, inviting you to explore its potential as your digital second brain.

As technology enthusiasts, let’s remain curious and continue our explorations with Quivr!

Explore Quivr on GitHub: GitHub Repository For a hands-on experience, visit Quivr’s official website: quivr.app


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