OpenClaw Launch Template: Deploy a Persistent Agent Runtime in Minutes

OpenClaw, previously referred to in earlier iterations as Clawdbot or Moltbot, is designed to run as a long-running agent service.

Not a one-shot job.

Not a single inference call.

A persistent execution runtime.

Inside the Yotta Labs Console, OpenClaw is available as a launch template that packages the full runtime environment into a reusable deployment profile.

Instead of building the container manually, you launch it preconfigured.

What the OpenClaw Launch Template Provides

The OpenClaw container inside the Console includes:

• Python 3.10 / 3.11 runtime
• Core OpenClaw agent runtime
• System utilities
• SSH access
• Optional API endpoint
• Optional Jupyter interface
• Support for long-running agent execution

It is explicitly designed to remain active as a persistent agent service, not a temporary compute job.

Deployment Model

The template is built for:

• Linux (x86_64)
• Docker / container runtime
• Kubernetes or managed GPU platforms
• Persistent volume mounting for:
  • Agent state
  • Logs
  • Artifacts and outputs

Environment variables can be configured to control:

• Agent execution mode
• Tool availability
• External service credentials
• Optional UI or API settings

This makes it compatible with production-style infrastructure environments.

Exposed Ports and Runtime Behavior

Depending on configuration, the container can expose:

• 22/tcp for SSH access
• 8080/tcp for agent API
• 8888/tcp for Jupyter (optional development mode)

When launched, the runtime:

• Initializes environment variables
• Performs dependency checks
• Bootstraps the OpenClaw runtime
• Starts optional services
• Enters a long-running execution state

This aligns with persistent agent deployment patterns rather than simple inference endpoints.

GPU Support

OpenClaw does not require a GPU.

However, GPU acceleration may be useful when:

• Connecting to large language model backends
• Running embedding systems
• Handling vision workloads
• Performing compute-heavy reasoning steps

CPU-only or GPU-backed deployments can be configured depending on workload needs.

Why This Matters

Agent systems introduce infrastructure complexity:

• Persistent state
• Secure service exposure
• Volume management
• Runtime orchestration

The OpenClaw launch template inside the Yotta Labs Console packages those requirements into a structured deployment profile.

You are not just launching a container.

You are launching a configured agent runtime aligned with production deployment models.

Launch OpenClaw on Yotta Labs

OpenClaw is available as a launch template inside the Yotta Labs Console.

If you are building agent-based systems and want to deploy a persistent OpenClaw runtime without manually assembling container infrastructure, you can explore the OpenClaw template directly inside the Console.

Final Thoughts

OpenClaw reflects the shift toward persistent, action-oriented AI systems.

Deploying those systems requires infrastructure that supports long-running execution, container orchestration, and optional GPU scaling.

The OpenClaw launch template simplifies that process by providing a production-ready runtime environment inside the Yotta Labs Console.

For teams moving from experimentation to production, reducing deployment friction is critical.