Deploy OpenClaw in 2 minutes. Zero setup. Enterprise security. 24/7 uptime.
· $700+ in hardware to buy and babysit
· Full system access to a real machine
· One bad skill = full system exposure
· Single instance, hard to scale
· No snapshots, rollback, or visibility
· Isolated Kubernetes sandbox — contained
· Agent only touches the container’s internals
· Multiple instances per agent or workflow
· Persistent, always-on, zero hardware
· Version control, rollback, full visibility
AI agents need root access to run skills, tools, and integrations. Without sandboxing, one misconfigured agent can compromise your entire network.
One bad plugin can exfiltrate data, inject prompts, or hijack your agent’s identity. Community skills are the new supply-chain attack vector.
A bare-metal crash takes hours to diagnose. Meanwhile, your agent is offline, your workflows are broken, and your team is blocked.
By 2028, 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously.
— Gartner, 2024
One platform. Zero infrastructure headaches.
1
npm install, codiac deploy. Your agent is live in under 2 minutes.
2
Kubernetes pod isolation. Each agent runs in its own sandbox with zero lateral movement.
3
99.9% uptime SLA. Auto-restart, health monitoring, zero babysitting.
Open a Codiac template, install OpenClaw inside via CLI. Two tools, one clean sandbox.
1
One global install, then authenticate with your Codiac account.
bash
npm install -g @codiac.io/codiac-cli codiac login
2
Create a fresh Kubernetes-backed container in one click—or one command.
bash
# Codiac UI: open a Node.js base template # Or via CLI: codiac asset create
3
Install the agent runtime and register the background daemon.
bash
npm install -g openclaw@latest openclaw onboard --install-daemon
4
Run the health check, confirm the gateway, and deploy.
bash
openclaw doctor # health check openclaw status # confirm gateway codiac asset deploy
🔒
If a skill misbehaves, the damage stays in one container. Your host, data, and other services remain untouched.
⚡
Spin up as many OpenClaw instances as you need—one per project, one per workflow, or one for experiments.
🔁
Every deploy is versioned. Roll back to any previous state in seconds if something goes wrong.
A hub-and-spoke architecture that connects your agent to every channel.
Routes messages from Slack, Teams, Web, and more into a unified protocol your agent understands.
Containerized OpenClaw with skills, memory, tools, and LLM orchestration running in an isolated Kubernetes pod.
Vector DB, session history, audit logs — all encrypted at rest and in transit.
Start free. Scale when you’re ready.
Free
1 agent · 100 msgs/day · Community support
$49/mo
5 agents · 10K msgs/day · Priority support
Custom
Unlimited · SSO · Dedicated infrastructure
Start deploying AI agents in minutes. No infrastructure to manage. No security to configure.
Limited Beta · Invite Only