AI Agents 1 service 2 GiB RAM 5 GB disk

OpenClaw

An autonomous AI agent you run yourself: web dashboard, scheduled tasks, plugins, persistent workspace.

One-click deploy, from $13/mo on a Miget plan.

OpenClaw is an autonomous agent designed to live on a server, not in a chat tab: it has a dashboard, scheduled tasks, a plugin system, and a persistent workspace where its files and context accumulate. Think of it as hiring an agent and giving it a desk.

This template runs the coollabsio all-in-one image (nginx + gateway, env-driven) with a 5 GB /data volume. Three secrets configure it: your Anthropic API key, a dashboard password, and a gateway token; after first deploy you pin OPENCLAW_ALLOWED_ORIGINS to your https domain.

Treat it as a privileged deployment - an autonomous agent with an API budget and a persistent disk. Give it its own API key with a spending limit, and read its task history the way you would review a new hire’s work.

#what you get

  • Web dashboard for conversations, tasks, and agent configuration
  • Scheduled/recurring tasks - the agent works while you sleep
  • Plugin system for tools and integrations
  • Persistent /data workspace survives redeploys
  • All-in-one image: nginx + gateway, configured by env
  • Basic auth + gateway token + origin allowlist

#topology

ServiceRolePublic
openclawagent + dashboard (:5000)yes (basic auth)

#miget sizing

// this stack needs

2 GiB RAM · 5 GB disk · 1 service

2 GiB runs the agent and dashboard comfortably; the model does the heavy thinking remotely. The 5 GB volume holds the agent’s accumulated workspace and state.

Hobby - recommended fit

$13/mo

1 vCPU · 2 GiB · 50 GiB disk

Headroom for your own apps: 2 GiB at $19/mo

Professional - production

$22/mo

1 vCPU · 2 GiB · 10 GiB disk

Dedicated resources, production SLOs - plan details

One Miget plan is a fixed pool of compute - the whole stack (managed databases included) deploys inside it, and anything left over runs your other apps. No per-service or per-seat math.

#vs. other PaaS

Estimated monthly cost of running this exact stack (2 GiB RAM, 5 GB disk, 1 container) elsewhere, from published June 2026 rates.

PlatformEst. monthlyNotes
Miget $13 flat compose stacks first-class: one deploy, dedicated vCPU, managed Postgres/Valkey, volumes and TLS all included in the plan
Heroku ~$100 no volumes; nothing between 1 GB ($50) and 2.5 GB ($250) dynos - 2 GB containers cost far more than shown
DO App Platform ~$29 no persistent volumes - stateful containers need managed DBs/Spaces (base $5 Spaces included here)
Render ~$26 per-service instances (0.5 GB $7, 2 GB $25) - every container is its own paid service
Railway ~$21 usage-based ($10/GB RAM-mo); vCPU billed separately at $20/vCPU-mo on top
Fly.io ~$13 cheapest sticker price - but burstable shared CPUs (1/16 core; dedicated vCPUs cost ~2-3×), no compose deploys (one app per container, manual wiring), managed DBs billed extra

Estimates assume RAM fully allocated at published on-demand rates - and sticker price isn't the whole comparison: the cheaper rows buy burstable shared CPUs, per-service wiring instead of a compose deploy, and managed databases billed separately. Heroku and DO App Platform have no persistent volumes at all - stateful stacks like this one need workarounds there.

#deploy it

On Miget

  1. Create a Compose Stack in app.miget.com pointing at the templates repository
  2. Set the stack path to openclaw
  3. Set the required variables:
    • ANTHROPIC_API_KEY, the agent’s model access, billed to you; set a spend limit
    • AUTH_PASSWORD, dashboard basic auth
    • OPENCLAW_GATEWAY_TOKEN, gateway token (openssl rand -hex 24)
  4. Deploy. Miget layers compose.miget.yaml (RAM, privacy, volumes, managed services) automatically

Locally first?

Every template is portable, vanilla Docker Compose - the Miget overrides are ignored locally:

git clone https://github.com/deployable-sh/stacks
cd miget-compose-templates/openclaw
docker compose up -d

Same files, same behavior. The template README covers connection strings and scaling notes.

#faq

What can OpenClaw actually do autonomously?

Whatever its tasks and plugins allow: recurring research, monitoring and summarizing, file processing in its workspace, calling external APIs. You define tasks in the dashboard; it executes on schedule and keeps history you can audit.

Why does the template call this a privileged deployment?

Because it is an autonomous agent with your API key and a persistent disk. Scope the key, set a billing limit, use a strong dashboard password, and lock OPENCLAW_ALLOWED_ORIGINS to your domain - the standard posture for anything that acts on its own.

What does running OpenClaw cost?

Infrastructure is $13/month (2 GiB hobby plan). Model usage on your Anthropic key dominates real cost and scales with how busy you keep the agent - a spending limit on the key keeps surprises out.

Does the agent’s memory survive redeploys?

Yes - state and workspace live on the /data volume. Redeploying the image (updates, config changes) leaves the agent’s accumulated context intact.

Ship OpenClaw today

One compose stack, 2 GiB of RAM, from $13/month flat, and it runs on your laptop with the same files.