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https://github.com/zabirauf/AutoGPT.js
Auto-GPT on the browser
https://github.com/zabirauf/AutoGPT.js
autogpt gpt gpt-4 gpt3 llm
Last synced: about 1 month ago
JSON representation
Auto-GPT on the browser
- Host: GitHub
- URL: https://github.com/zabirauf/AutoGPT.js
- Owner: zabirauf
- License: mit
- Created: 2023-04-04T03:39:58.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-10-27T07:56:30.000Z (11 months ago)
- Last Synced: 2024-05-19T16:34:12.322Z (4 months ago)
- Topics: autogpt, gpt, gpt-4, gpt3, llm
- Language: TypeScript
- Homepage: https://autogptjs.com
- Size: 1.25 MB
- Stars: 989
- Watchers: 16
- Forks: 177
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- Awesome-AGI - AutoGPT.js - GPT on the browser.|-| (Frameworks and Platforms)
- Awesome-Auto-GPT - zabirauf/AutoGPT.js - GPT on the browser. 🌐🖥️ (960 stars) (GitHub projects)
README
# AutoGPT.js
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](https://autogptjs.com)
## Table of Contents
- [Features](#features)
- [Roadmap/Ideas](#roadmapideas)
- [Development](#development)
- [Deployment](#deployment)
- [Fly.io](#flyio)
- [Docker](#docker)
- [Direct](#direct)
- [Contributing](#contributing)
- [License](#license)
## Features
- 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)
## Roadmap/Ideas
- 🚧 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
## Development
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.
## Deployment
### Fly.io
- [Install Fly](https://fly.io/docs/getting-started/installing-flyctl/)
- Sign up and log in to Fly
```sh
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
```sh
fly apps create autogpt-js
```
- Add a `SESSION_SECRET` to your fly app secrets, to do this you can run the following commands:
```sh
fly secrets set SESSION_SECRET=$(openssl rand -hex 32) --app autogpt-js
```
If you don't have openssl installed, you can also use [1Password](https://1password.com/password-generator) to generate a random secret, just replace `$(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.
```sh
fly volumes create data --size 1 --app autogpt-js
```
- Now that everything is set up you can deploy.
```sh
fly deploy --app autogpt-js
```
### Docker
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`.
### Direct
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.
## Contributing
We welcome and encourage contributions from the developer community.
## License
This project is licensed under the [MIT License](LICENSE). By contributing to this project, you agree to the terms and conditions of the license.