A Web extension to use local AI models
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Table of Contents
This extension is built using WXT and React, so ensure to install Node.Js or Bun for a running environment.
- Package manager: We can use any package managers like
npm,yarn,pnpm,bun. This project is currently installed bynpm, that the fieldpackage-lock.jsonexists. - Ollama: This extension uses
Ollama, so you have to have anOllamaserver from anywhere, installing on local for example. For more details, read Ollama.Important: If you run Ollama on local machine, ensure to setup the
OLLAMA_ORIGINSto allow the extension can connect to the server For more detail, read Ollama FAQ, set theOLLAMA_ORIGINSto*orchrome-extension://*or the domain you want to allow.
- Clone the repo
git clone https://github.com/buiducnhat/ollamazing.git
- Install dependencies
npm install # or yarn install, pnpm install, bun install
To run local development, run the following command:
npm run dev
# or yarn run dev, pnpm run dev, bun run devthen, a new browser window will open with the extension installed.
- Basic, chat with AI assistant.
- Improve UI, UX.
- Adapt for almost popular models's message format.
- Interact with images.
- Setup sync global state with extension storage.
- Preferences settings.
- Light/Dark theme.
- Multiple languages.
- Manage model, use more Ollama APIs.
- Content script to be injected into the pages when selecting text.
- Add utility to translate text.
- Add utility to summarize paragraph.
- Add context menu besides the text selection for web pages.
- Add short key to open the extension.
- Feature multiple chat, history chat.
See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the MIT License. See LICENSE.txt for more information.
Bùi Đức Nhật - nhaths4701@gmail.com
Project Link: https://github.com/buiducnhat/ollamazing