n4ze3m/page-assist

Documentation

Page Assist is an open-source browser extension that provides a sidebar and web UI for your local AI model. It allows you to interact with your model from any webpage.

Page Assist supports Chromium-based browsers like Chrome, Brave, and Edge, as well as Firefox.

Checkout the Demo (v1.0.0):

AIHubMix is a compliant LLM API aggregation platform that has operated reliably for three years. It partners with model developers and cloud inference providers to offer more than 800 models through a single API, with real-time monitoring for production reliability.

Interested in sponsoring Page Assist? Reach out at me@n4ze3m.com.

• Sidebar: A sidebar that can be opened on any webpage. It allows you to interact with your model and see the results.

• Web UI: A web UI that allows you to interact with your model like a ChatGPT Website.

• Chat With Webpage: You can chat with the webpage and ask questions about the content.

want more features? Create an issue and let me know.

• Bun - Installation Guide
• Ollama (Local AI Provider) - Installation Guide
• Any OpenAI API Compatible Endpoint (like LM Studio, llamafile etc.)

1. Clone the repository

git clone https://github.com/n4ze3m/page-assist.git
cd page-assist

1. Install the dependencies

bun install

1. Build the extension (by default it will build for Chrome, Edge and Firefox)

bun run build

Note: If you face any issues with Bun, use npm instead of bun.

1. Load the extension (chrome)

• Open the Extension Management page by navigating to chrome://extensions.

• Enable Developer Mode by clicking the toggle switch next to Developer mode.

• Click the Load unpacked button and select the build directory.

1. Load the extension (firefox)

• Open the Add-ons page by navigating to about:addons.
• Click the Extensions tab.
• Click the Manage Your Extensions button.
• Click the Load Temporary Add-on button and select the manifest.json file from the build directory.

Once the extension is installed, you can open the sidebar via context menu or keyboard shortcut.

Default Keyboard Shortcut: Ctrl+Shift+Y

You can open the Web UI by clicking on the extension icon which will open a new tab with the Web UI.

Default Keyboard Shortcut: Ctrl+Shift+L

Note: You can change the keyboard shortcuts from the extension settings on the Chrome Extension Management page.

Page Assist supports various keyboard shortcuts to enhance your productivity:

Note: You can customize extension shortcuts from your browser's extension management page .

You can run the extension in development mode to make changes and test them.

bun dev

This will start a development server and watch for changes in the source files. You can load the extension in your browser and test the changes.

• Ollama

• Chrome AI (Gemini Nano)

• OpenAI API Compatible endpoints (like LM Studio, llamafile etc.)

• Firefox Support
• More Local AI Providers
• More Customization Options
• Better UI/UX

Page Assist does not collect any personal data. The only time the extension communicates with the server is when you are using the share feature, which can be disabled from the settings.

All the data is stored locally in the browser storage. You can view the source code and verify it yourself.

You learn more about the privacy policy here.

Contributions are welcome. If you have any feature requests, bug reports, or questions, feel free to create an issue.

If you like the project and want to support it, you can buy me a coffee. It will help me to keep working on the project.

or you can sponsor me on GitHub.

A huge thank you to everyone who has supported Page Assist through Ko-fi and GitHub Sponsors — your generosity keeps this project going. 💛

This are some of the blogs and videos about Page Assist. If you have written a blog or made a video about Page Assist, feel free to create a PR and add it here.

• OllamaをChromeAddonのPage Assistで簡単操作 by LucasChatGPT

• This Chrome Extension Surprised Me by Matt Williams

• Ollama With 1 Click by Yaron Been From EcomXFactor

• Page Assist 介绍合集 by 百工智用公众号

• Eine KI auf dem eigenen Rechner laufen lassen, 10 Minuten Installation by Johannes Holstein

MIT

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