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big-agi/docs/installation.md
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# Installation Guide
Welcome to the big-AGI Installation Guide - Whether you're a developer
eager to explore, a system integrator, or an enterprise looking for a
white-label solution, this comprehensive guide ensures a smooth setup
process for your own instance of big-AGI and related products.
**Try big-AGI** - You don't need to install anything if you want to play with big-AGI
and have your API keys to various model services. You can access our free instance on [big-AGI.com](https://big-agi.com).
The free instance runs the latest `main` branch from this repository.
## 🧩 Build-your-own
If you want to change the code, have a deeper configuration,
add your own models, or run your own instance, follow the steps below.
### Local Development
**Prerequisites:**
- Node.js and npm installed on your machine.
**Steps:**
1. Clone the big-AGI repository:
```bash
git clone https://github.com/enricoros/big-AGI.git
cd big-AGI
```
2. Install dependencies:
```bash
npm install
```
3. Run the development server:
```bash
npm run dev
```
Your big-AGI instance is now running at `http://localhost:3000`.
### Local Production build
The production build is optimized for performance and follows
the same steps 1 and 2 as for [local development](#local-development).
3. Build the production version:
```bash
# .. repeat the steps above up to `npm install`, then:
npm run build
```
4. Start the production server (`npx` may be optional):
```bash
npx next start --port 3000
```
Your big-AGI production instance is on `http://localhost:3000`.
### Advanced Customization
Want to pre-enable models, customize the interface, or deploy with username/password or alter code to your needs?
Check out the [Customizations Guide](README.md) for detailed instructions.
## ☁️ Cloud Deployment Options
To deploy big-AGI on a public server, you have several options. Choose the one that best fits your needs.
### Deploy on Vercel
Install big-AGI on Vercel with just a few clicks.
Create your GitHub fork, create a Vercel project over that fork, and deploy it. Or press the button below for convenience.
[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fenricoros%2Fbig-AGI&env=OPENAI_API_KEY&envDescription=Backend%20API%20keys%2C%20optional%20and%20may%20be%20overridden%20by%20the%20UI.&envLink=https%3A%2F%2Fgithub.com%2Fenricoros%2Fbig-AGI%2Fblob%2Fmain%2Fdocs%2Fenvironment-variables.md&project-name=big-AGI)
### Deploy on Cloudflare
> Note: Cloudflare Pages deployment has limitations due to Edge Runtime constraints.
> See the [Cloudflare guide](deploy-cloudflare.md) for details and known issues.
### Docker Deployments
Containerize your big-AGI installation using Docker for portability and scalability.
Our [Docker Deployment Guide](deploy-docker.md) will walk you through the process,
or follow the steps below for a quick start.
1. (optional) Build the Docker image - if you do not want to use the [pre-built Docker images](https://github.com/enricoros/big-AGI/pkgs/container/big-agi):
```bash
docker build -t big-agi .
```
2. Run the Docker container with either:
```bash
# 2A. if you built the image yourself:
docker run -d -p 3000:3000 big-agi
# 2B. or use the pre-built image:
docker run -d -p 3000:3000 ghcr.io/enricoros/big-agi
# 2C. or use docker-compose:
docker-compose up
```
Access your big-AGI instance at `http://localhost:3000`.
If you deploy big-AGI behind a reverse proxy, you may want to check out the [Reverse Proxy Configuration Guide](deploy-reverse-proxy.md).
### Kubernetes Deployment
Deploy big-AGI on a Kubernetes cluster for enhanced scalability and management. Follow these steps for a Kubernetes deployment:
1. Clone the big-AGI repository:
```bash
git clone https://github.com/enricoros/big-AGI.git
cd big-AGI
```
2. Configure the environment variables:
```bash
cp docs/k8s/env-secret.yaml env-secret.yaml
vim env-secret.yaml # Edit the file to set your environment variables
```
3. Apply the Kubernetes configurations:
```bash
kubectl create namespace ns-big-agi
kubectl apply -f docs/k8s/big-agi-deployment.yaml -f env-secret.yaml
```
4. Verify the deployment:
```bash
kubectl -n ns-big-agi get svc,pod,deployment
```
5. Access the big-AGI application:
```bash
kubectl -n ns-big-agi port-forward service/svc-big-agi 3000:3000
```
Your big-AGI instance is now accessible at `http://localhost:3000`.
For more detailed instructions on Kubernetes deployment, including updating and troubleshooting, refer to our [Kubernetes Deployment Guide](deploy-k8s.md).
## Enterprise-Grade Installation
For businesses seeking a fully-managed, scalable solution, consider our managed installations.
Enjoy all the features of big-AGI without the hassle of infrastructure management. [hello@big-agi.com](mailto:hello@big-agi.com) to learn more.
## Support
Join our vibrant community of developers, researchers, and AI enthusiasts. Share your projects, get help, and collaborate with others.
- [Discord Community](https://discord.gg/MkH4qj2Jp9)
- [X (Twitter)](https://x.com/enricoros)
For any questions or inquiries, please don't hesitate to [reach out to our team](mailto:hello@big-agi.com).