A chicklet is an isolated, SSH-accessible Linux machine. Persistent, cheap, and accessible over a single public IP. Pre-installed with Claude Code, Gemini, and Codex.
# Install the CLI
curl -fsSL https://chicklet.io/install.sh | sh
# Create an account or login
chicklet login
# Create a chicklet
chicklet create my-first-chicklet
# Connect to your chicklet
chicklet console -s dev
chicklet@dev:~$Every chicklet runs in its own Kata Container VM. Full hypervisor-level isolation.
Your files survive stop/start cycles. Stop a chicklet, copy the storage into multiple chicklets to recreate your environmnet, start it back up and pick up where you left off.
Each chicklet is accessible over a single public IP via SSH. Connect from any device, anywhere.
Pre-installed with Claude Code, Gemini, and Codex. Your AI coding environment, ready to go.
Make services running inside your chicklet publicly accessible with a single command.
From 1 vCPU / 5 GB RAM to 4 vCPUs / 16 GB. Scale to match your workload. Resize on the fly.
Each chicklet is a Kata Container pod running Ubuntu. The VM provides hard multi-tenancy which means chicklets are fully isolated sandboxes.
Files persist across stop/start cycles. Stop a chicklet to save resources, start it back up and pick up right where you left off. You can even copy the storage into multiple chicklets to recreate your environment in multiple places at once.
Chicklets come pre-installed with Claude Code, Gemini, and Codex. Create a chicklet and use it as your AI-powered coding environment that you can access from anywhere. SSH in and start building.
Scale your chicklet to match your workload.
1 vCPU
5 GB RAM
Good place to get started if you're new to this stuff
2 vCPUs
8 GB RAM
Great for general purpose computing
4 vCPUs
16 GB RAM
Over fed chicklets for running heavier workloads
Create your first chicklet in under a minute.