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NativeMind: Your completely private, open-source, on-device AI assistant

NativeMind is a private, on-device AI assistant that operates in your preferred browser. It provides advanced intelligence for your daily tasks β€” ensuring complete privacy and no reliance on the cloud. It is powered by Ollama and top open-weight models such as DeepSeek, Qwen, Llama, Gemma, Mistral, and others.
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NativeMind: Your completely private, open-source, on-device AI assistant
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Introduction

NativeMind is a fully private, open-source, on-device AI assistant designed to enhance user experience while ensuring data privacy. By utilizing local LLMs through Ollama, NativeMind provides advanced AI capabilities directly within your browser without transmitting any data to cloud servers. This tool is free to use and emphasizes absolute privacy and control over personal data.

Feature

  1. Local by Nature, Private by Default

    NativeMind operates entirely on-device, ensuring that no data is sent to the cloud. This guarantees user privacy and data security.

  2. Open-source

    The software is fully open-source, allowing for transparency and community involvement. Users can audit the code and contribute to its development.

  3. Enterprise Ready

    Designed for real-world workflows, NativeMind is fast, local, and secure, making it suitable for enterprise applications.

  4. Powerful Model Support

    Supports various models such as DeepSeek, Qwen, Llama, Gemma, and Mistral, enabling users to run powerful AI models locally without any setup.

  5. Seamless Integration

    NativeMind allows users to load and switch between models instantly, enhancing flexibility and usability.

  6. Webpage Summarization

    Users can get concise summaries of long articles or reports directly in their browser.

  7. Contextual Chat Across Tabs

    The assistant can maintain context while chatting across different websites and pages, providing a seamless user experience.

  8. Local Web Search

    Users can ask questions, and NativeMind will browse and provide answers directly within the browser.

  9. Immersive Translation

    Instantly translate entire pages while preserving formatting, with a focus on context and privacy.

How to Use?

  1. Install NativeMind by adding it to your browser.
  2. Explore the various features available, such as summarization and translation.
  3. Utilize the chat feature to maintain context across different tabs.
  4. Experiment with different models supported by NativeMind for varied functionalities.

FAQ

Does NativeMind send any data to the cloud?

No, NativeMind operates entirely on your local device and does not transmit any data to external servers.

Is it really 100% offline?

Yes, NativeMind runs offline, ensuring that all data remains on your machine.

Can I use my own models?

Yes, NativeMind supports the use of various local models, allowing for customization based on user needs.

What browsers does it support?

NativeMind is designed to work seamlessly within popular web browsers.

What are the minimal hardware requirements?

NativeMind can run on standard hardware, but specific requirements may vary based on the models used.

Price

  • Personal Use: 100% Free, no sign-up or tracking required.

  • Enterprise: Join the waitlist for updates on upcoming enterprise solutions.

The price is for reference only, please refer to the latest official data for actual information.

Evaluation

  1. NativeMind excels in providing a robust, privacy-focused AI assistant that operates entirely on-device, ensuring user data remains secure.
  2. The open-source nature of the tool promotes transparency and community engagement, which is a significant advantage.
  3. While it offers powerful features like local model support and contextual chat, the user experience could be enhanced with more intuitive interfaces or tutorials for new users.
  4. The lack of a dedicated mobile application may limit accessibility for some users, as it is primarily designed for desktop browsers.
  5. Overall, NativeMind is a strong choice for users prioritizing privacy and local processing, but improvements in user onboarding and mobile support could further enhance its appeal.

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