The process of provisioning infrastructure, configuring security, and launching an AI agent into a production environment.
Deploying an AI agent involves more than starting a container. It means provisioning the right infrastructure, configuring LLM credentials, setting up channels, enabling security controls, configuring monitoring, and verifying health.
DIY deployment with OpenClaw requires Docker knowledge, networking skills, TLS certificate management, and security hardening. This takes 40-100 hours for a production-grade setup.
Clawctl automates the entire deployment pipeline. Enter your LLM API key, choose your channels, and click deploy. In 60 seconds you have a production-ready agent with full security controls.
Deployment complexity is the biggest barrier to production AI agents. Many teams build great agents in development but never ship them because the production infrastructure gap is too wide.
Clawctl deploys OpenClaw agents in 60 seconds. The pipeline handles infrastructure provisioning, TLS, security hardening, channel configuration, health checks, and monitoring setup. One click from zero to production.
Try Clawctl — 60 Second Deploy60 seconds with Clawctl. 40-100+ hours for DIY production deployment.
Clawctl manages infrastructure for you. Enterprise plans support custom infrastructure requirements.
Container provisioning, TLS setup, credential injection, channel configuration, health check verification, and monitoring activation.
Production Readiness
The state where an AI agent meets all security, reliability, and operational requirements for serving real users with real data.
Health Checks
Automated probes that verify an AI agent is running, responsive, and functioning correctly at regular intervals.
OpenClaw Architecture
The technical design of OpenClaw: a gateway that routes messages from 23+ channels to an LLM-powered agent with MCP tool integrations, running in a Docker sandbox.
Docker Sandbox
A Docker container configured with restricted permissions that isolates an AI agent from the host system and other containers.