AutoGPT.js is an open-source project that aims to bring the powerful capabilities of AutoGPT to your browser. By running directly in the browser, AutoGPT.js offers greater accessibility and privacy.

Visit AutoGPTjs.com

• Features
• Roadmap/Ideas
• Development
• Deployment
  • Fly.io
  • Docker
  • Direct
• Contributing
• License

• Create/Read files from your local computer (uses new Web File System Access APIs)
• Create and run other GPT agents
• Generates code
• Short term memory
• Searching using Duck Duck Go (currently proxies fetching of DuckDuckGo page through server)
• Stateless visiting a URL (currently proxies fetching of website through server)

• 🚧 Using LangChain for a more extensible architecture for AutoGPT
• Advance settings to configure the AutoGPT e.g. Temperature, Prompt etc.
• Running JS code in a sandbox (e.g. iframe)
• Switching to different LLM APIs e.g. Bard, Cohere etc.
• Integrating Web based LLMs e.g. WebLLM, LLaMa in browser etc. (currently performance maybe a limitation)
• Tabbed UX to show Files Created/Accessed

1. Copy .env.example to .env and change as necessary.
2. Run npm install to get all the dependencies.
3. Run npm run dev to start the development server.

• Install Fly

• Sign up and log in to Fly

  fly auth signup

  Note: If you have more than one Fly account, ensure that you are signed into the same account in the Fly CLI as you are in the browser. In your terminal, run fly auth whoami and ensure the email matches the Fly account signed into the browser.

• Create an app on Fly

  fly apps create autogpt-js

• Add a SESSION_SECRET to your fly app secrets, to do this you can run the following commands:

  fly secrets set SESSION_SECRET=$(openssl rand -hex 32) --app autogpt-js

  If you don't have openssl installed, you can also use 1Password to generate a random secret, just replace $(openssl rand -hex 32) with the generated secret.

• Create a persistent volume for the sqlite database. Though there is no code reading/writing to sqlite but that dependency from this project starter template was not removed.

  fly volumes create data --size 1 --app autogpt-js

• Now that everything is set up you can deploy.

  fly deploy --app autogpt-js

1. Run docker build -t IMAGE_NAME . to create the docker image
2. Deploy the docker image based on what cloud and infrastructure you are using
3. Start the container based on your infra e.g. docker run -p PORT:8080 IMAGE_NAME.

1. Run npm install to get all dependencies.
2. Run npm run build to build the project.
3. Run NODE_ENV="production" npm run start to start the server which will expose the endpoint at localhost:3000. You can then use a reverse proxy like NGINX to route to that local address on your server.

We welcome and encourage contributions from the developer community.

This project is licensed under the MIT License. By contributing to this project, you agree to the terms and conditions of the license.