StackShip — Deploy AI Stacks with One Command
Description: Deploy production-ready AI stacks in seconds. One command. Local Docker or cloud Terraform. GPU support included.

Open Source CLI Tool

# Deploy AI stacks
with one command

Production-ready AI infrastructure in seconds.
Local Docker or cloud Terraform. GPU support included.

terminal
$ ▌
Install Now
GitHub

## Why StackShip?

Stop wrestling with Docker Compose files and Terraform configs.
Deploy complete AI stacks in one command.

⚡

### One-Command Deploy

No config files. No setup guides. Just `stackship deploy` and you're running.

🎮

### GPU Support

Automatic NVIDIA GPU detection and passthrough. Run LLMs at full speed on local hardware.

📦

### Multiple Stacks

Curated AI stacks — from local LLM inference to full RAG pipelines. Pick one and ship.

☁️

### Cloud Deploy

Go from local Docker to cloud Terraform with one flag. Same stack, any scale.

🔒

### Self-Hosted

Your data stays yours. Run everything on your own hardware or your own cloud account.

🧩

### Extensible

Build custom stacks or extend existing ones. StackShip is open source and hackable.

## AI Stacks

Pre-configured, production-tested AI infrastructure.
Deploy any stack with a single command.

Available Now
🐙

### OpenClaw

Full AI assistant platform with LLM inference, vector memory, and autonomous agent capabilities.

#### What's included:

- ✓ Ollama — Local LLM inference
- ✓ Qdrant — Vector database for memory
- ✓ OpenClaw Agent — Autonomous AI assistant
- ✓ Web UI — Control panel
- ✓ GPU passthrough — Automatic detection

`stackship deploy openclaw`

### Coming Soon

Coming Soon
🦙

### Ollama

Standalone LLM inference server with API endpoint and model management.

Coming Soon
🔍

### RAG

Retrieval-augmented generation pipeline with vector store, embeddings, and API.

Coming Soon
🔗

### LangChain

LangChain + LangSmith agent toolkit with tracing, memory, and tool integrations.

Coming Soon
🎨

### ComfyUI

AI image generation with Stable Diffusion, node-based workflow editor, and GPU acceleration.

## Simple Pricing

Free for local development. Pay only when you need cloud.

### Free

$0

forever

- ✓ Local Docker deployment
- ✓ All available stacks
- ✓ GPU passthrough
- ✓ CLI tools
- ✓ Community support
- ✗ Cloud Terraform deploy
- ✗ Multi-cloud support

Get Started
Most Popular

### Pro

$15/mo

or $29 one-time

- ✓ Everything in Free
- ✓ Cloud Terraform deploy
- ✓ AWS, GCP, Azure support
- ✓ Auto-scaling configs
- ✓ SSL & domain setup
- ✓ Priority support
- ✓ Custom stack configs

Get Pro

## Get Started in 10 Seconds

1

### Install

`pip install stackship`
2

### Deploy

`stackship deploy openclaw`
3

### Done

Your AI stack is running. That's it.