NativeMind

What is NativeMind?

NativeMind is an open-source browser extension that adds an AI assistant to your browser while keeping prompts and page content on your own device. Instead of calling a cloud service, it sends each request to a language model running locally on your computer, mainly through Ollama.

The set-up has two parts. You install the extension, then install Ollama and download an open-weights model such as Qwen, Llama or Gemma. From then on, a sidebar can summarise the page you are reading, answer questions that draw on several open tabs, translate whole pages and help you write. If you only want a quick test, a tiny WebLLM model runs inside the browser itself, with no separate install, although it is far less capable than a full Ollama model.

The official site names SUPERMIND PTE. LTD. as the developer, while older Firefox add-on pages list XMIND LIMITED, the company behind the Xmind mind-mapping app. The code is published on GitHub under the AGPL-3.0 licence. Toolify reports a launch date of 26 June 2025. The latest release we found dates from March 2026, and downloads were still available in October 2026.

Key Features

Tab-aware chat and on-device translation matter most, because together they turn a local model into a reading assistant without sending a single page to a remote server.

• Chat across tabs: You can ask one question that draws on several open tabs at once. This suits comparing product pages, research papers or news reports side by side, since the local model reads each tab you add as context.
• Page summaries: The sidebar condenses a long article into a short overview on request. Because the summary is produced on your own hardware, its quality and speed depend on the model you pulled in Ollama.
• Full-page translation: NativeMind translates a whole web page in place while keeping its original layout. This is handy for foreign-language documentation or news, and the text never passes through a third-party translation service.
• Local web search: The assistant can search the web through your own browser rather than a paid search API. Results are then read by the local model, so you get answers with fresher information while prompts stay on your device.
• PDF and image chat: You can ask questions about PDF files and images, including screenshots. Image questions need a vision-capable model in Ollama, so check the model card before relying on this feature.
• Agents and writing help: An agent mode runs multi-step tasks, and writing tools help draft and polish text, including replies in Gmail. Each step is still handled by the local model, which keeps drafts private.

Pros

Privacy decides it: NativeMind processes prompts, pages and documents on your own computer, so nothing you read is uploaded to an AI provider.

• Strong privacy: Page content and prompts stay on your machine rather than going to a cloud chatbot. This matters most for people reading confidential contracts, research drafts or internal documents in the browser.
• No cost: There is no sign-up, subscription or usage cap listed on the official site. Ollama and the open-weights models are also free, so your only real outlay is the hardware you already own.
• Model choice: You pick the model that suits your computer, from small Qwen builds to larger Llama or gpt-oss models. The homepage advertises instant switching between models already pulled in Ollama, so you can trade speed for quality freely.
• Auditable code: The full source is public on GitHub under AGPL-3.0. Security teams and curious users can inspect exactly what the extension does with data instead of trusting a privacy policy.
• Works offline: Once Ollama and a model are downloaded, summaries, chat, writing and translation keep working without an internet connection. That helps on flights, in secure offices or on unreliable networks.

Cons

Hardware is the ceiling here, because answers can only be as fast and as sharp as the model your RAM and GPU can run.

• Hardware bound: Response speed depends on your RAM, CPU and GPU. On an older laptop, larger models feel slow, so you may need to accept a smaller model with weaker answers.
• Extra setup: Most features need Ollama installed and running before the extension is useful. Non-technical users may find pulling models and checking memory use confusing at first.
• Smaller models: Local open-weights models generally trail leading cloud assistants on reasoning and long documents. For complex research, you may still want a cloud tool alongside NativeMind.
• Quieter updates: The latest GitHub release we found dates from March 2026. Slower development could mean fewer fixes for browser changes, so check the repository before rolling it out widely.
• Limited support: Help comes mainly through GitHub issues and a Discord community rather than a support desk. Businesses wanting formal service levels will find nothing like that described on the official site.

Who is Using NativeMind?

Readers who handle sensitive material form the core audience, since NativeMind gives them AI summaries and translation without any cloud upload.

• Privacy-minded users: People who avoid cloud chatbots use it for everyday summaries and questions. They value that no account is needed and nothing is logged by a provider.
• Researchers and students: Readers comparing many sources use tab chat to question several articles together. Students should follow their institution’s rules on AI help and check summaries against the originals.
• Developers: Builders testing local models use it as a quick front end for Ollama. Web apps can also call local models through the extension, which helps with private prototypes.
• Regulated professionals: Legal, health and finance staff use it to read documents without uploading them. It is a reading aid only, not professional advice, so outputs still need expert review.

Pricing

NativeMind costs nothing to download or use, and the official site lists no paid tier (official site, checked October 2026).

The homepage carries an Enterprise Ready label but lists no business plan or price. Some directories mention a commercial licence or an enterprise waitlist, and Toolify describes the extension as free for personal use.

Your real cost is hardware, but revisit the site in case business plans appear later.

What Makes NativeMind Unique?

Every request goes to a model on your own computer. Most AI browser assistants send each page to a remote model and charge a monthly fee, whereas NativeMind keeps working offline once a model is downloaded.

Few free extensions combine that local-only design with tab context, full-page translation and an agent mode in one sidebar. Page Assist covers similar ground for Ollama users, but NativeMind adds the in-browser WebLLM fallback for people who have not installed anything yet.

Compatibilities and Integrations

Chrome, Firefox and Brave run NativeMind today, and Ollama is the main engine behind it.

• Browsers: Chrome and Firefox have store listings, and the GitHub page lists Brave as fully supported. Microsoft Edge was still marked as coming soon.
• Model runtimes: Ollama serves the main models, while a small WebLLM model runs inside the browser for quick trials.
• Models: Qwen, Llama, Gemma, Mistral, DeepSeek and gpt-oss are supported, plus custom models you add to Ollama.
• Developer access: Web apps can call local models through the extension, which suits private prototypes and internal tools.

NativeMind Tutorials

Fifteen minutes is enough to go from install to a first private page summary.

1. Install NativeMind from the Chrome Web Store or Firefox Add-ons.
2. Download Ollama for your operating system and start it.
3. Pull a model that fits your RAM, such as a small Qwen build.
4. Open the NativeMind sidebar on any article and ask for a summary.
5. Add other open tabs as context and ask a comparison question.
6. Try full-page translation, then switch models if replies feel slow.

How We Rated It

NativeMind earns 3.9 out of 5, lifted by near-perfect privacy and cost scores but held back by hardware-dependent speed and a fiddly first set-up.

Summary

NativeMind is a strong free choice if you want AI help while browsing without sending your reading to a cloud provider. It suits privacy-minded readers, researchers and developers who are happy to install Ollama. Its main limitation is that answers only match what your hardware can run, and updates have slowed since March 2026. Start with a mid-sized model and move up or down until the speed feels right.