GitHub Docs

Deploy VibeCody Anywhere

Your own always-on AI coding assistant — zero DevOps required.

VibeCody runs on anything from a $35 Raspberry Pi to a full cloud instance. Pick your platform, run one command, and you’re live in under 5 minutes.


Choose Your Platform

Cloud Platforms — Always-On, Team-Ready

Best for teams, CI/CD integration, and 24/7 availability. Estimated cost: $5–60/month.

Platform Setup Time Monthly Cost Free Tier Guide
AWS 10 min $15–60 12-month free tier Deploy →
Google Cloud 10 min $10–50 $300 credit Deploy →
Azure 10 min $15–55 $200 credit Deploy →
Oracle Cloud 10 min $0 Always-free ARM Deploy →
DigitalOcean 5 min $12–48 $200 credit Deploy →
Linode / Akamai 5 min $12–48 Deploy →

Best value: Oracle Cloud’s always-free tier gives you 4 ARM cores + 24 GB RAM — enough for VibeCody + a 7B local model at $0/month.

Desktop — Personal Workstation

Best for individual developers who want VibeCody integrated into their daily workflow.

Platform Setup Time Always-On GPU Acceleration Guide
macOS (MacBook / Mac Mini) 2 min ✅ launchd ✅ Metal Install →
Linux (Ubuntu, Fedora, Arch) 2 min ✅ systemd ✅ CUDA/ROCm Install →
Windows 3 min ✅ Service ✅ CUDA Install →

Edge / Homelab — IoT & Self-Hosted

Best for privacy-first setups, smart home hubs, and always-on personal assistants.

Platform Setup Time Local Models Remote Access Guide
Raspberry Pi 5 (8 GB) 5 min Up to 7B Tailscale / Cloudflare Install →
Raspberry Pi 4 (4–8 GB) 5 min Up to 3B–7B Tailscale / Cloudflare Install →
Raspberry Pi 3 (1 GB) 10 min TinyLlama (cloud recommended) Tailscale / Cloudflare Install →

Homelab tip: A Mac Mini with Apple Silicon is the best desktop “server” — 18 GPU cores run 13B models at full speed with zero fan noise.


One-Command Setup

Every platform has a one-liner. Here’s the fastest path for each:

macOS / Linux

curl -fsSL https://raw.githubusercontent.com/TuringWorks/vibecody/main/install.sh | sh
vibecli

Windows (PowerShell)

irm https://raw.githubusercontent.com/TuringWorks/vibecody/main/deploy/windows/setup.ps1 | iex

Docker (Any Platform)

docker run -p 7878:7878 ghcr.io/turingworks/vibecody:latest

Cloud (AWS Example)

git clone https://github.com/TuringWorks/vibecody.git
cd vibecody/deploy/aws
./setup.sh

Raspberry Pi

curl -fsSL https://raw.githubusercontent.com/TuringWorks/vibecody/main/deploy/raspberry-pi/setup.sh | sh

Always-On Mode

VibeCody can run as a persistent background service, just like myclaw.ai — but self-hosted and free.

Platform Service Manager Command
macOS launchd vibecli --serve --port 7878 --provider ollama
Linux systemd vibecli --serve --port 7878 --provider ollama
Windows Windows Service vibecli --serve --port 7878 --provider ollama
Docker docker-compose docker compose up -d
Cloud Managed (auto) Always running after deploy

Once running, access VibeCody from anywhere:

# Local access
curl http://localhost:7878/health

# Remote access (via Tailscale)
curl http://vibecody.tailnet:7878/health

# Gateway integrations (Slack, Discord, Telegram, etc.)
vibecli gateway enable slack
vibecli gateway enable discord
vibecli gateway enable telegram


Tiers

Like myclaw.ai’s Lite/Pro/Max plans, VibeCody offers tier presets for resource allocation — but you control the hardware and pay only infrastructure costs.

Tier vCPU RAM Storage Best For Cloud Cost
Lite 2 4 GB 40 GB Chat + small agent tasks $5–16/mo
Pro 4 8 GB 80 GB Agent loops + local 7B models $20–33/mo
Max 8 16 GB 160 GB Multi-agent + local 13B models $40–66/mo

Resource allocation is configured through your infrastructure provider’s settings (instance size, container resource limits, etc.) rather than through VibeCody CLI flags.


How It Compares

Feature VibeCody myclaw.ai (OpenClaw)
Cost Free (self-hosted) + infra costs $16–66/month
AI Providers 23 (local + cloud) Limited to what OpenClaw supports
Code Intelligence 7 review detectors, 550+ skills, LSP General-purpose
Deployment Targets 12 platforms Managed cloud only
Raspberry Pi ✅ Full support
Desktop App ✅ VibeUI (196+ panels)
Open Source ✅ MIT License Wraps open-source, hosted service
Always-On ✅ All platforms ✅ Cloud only
MCP Integration ✅ Full ✅ Via OpenClaw
Agent Autonomy Agent loop + multi-agent teams Single agent
Gateway 18 messaging platforms ~10 integrations
Privacy Your hardware, your data Managed servers
Customization Full config + plugins + rules Limited
CI/CD Integration GitHub Actions, K8s, Docker Limited
GPU Acceleration Metal, CUDA, ROCm Depends on plan

What’s Next