AI agents are quietly becoming something people expect to run all the time, not just when a laptop is on. That shift creates a problem most marketers haven’t thought through yet.
Where does an AI agent actually live when it needs to be online 24/7, connected to messaging apps, and trusted with real tasks?
Luckily, Cloudways has an answer to that question. Its new Managed AI Agent hosting product gives you a dedicated server built specifically to run AI Agents, with two agents currently available: OpenClaw and Hermes.
This post walks through what the product actually does, how deployments work, what it costs, and who it makes sense for.
What is Cloudways AI Agent Hosting?
Cloudways AI Agent Hosting is a managed infrastructure product that sits alongside the Cloudways hosting lineup: Flexible, Autonomous, and Velocity.
Instead of managing WordPress sites or Node.js apps, it is built to run autonomous AI Agents on dedicated, isolated servers, with setup, security, and maintenance work handled by Cloudways.
Currently, you can pick between two AI Agents in your Cloudways dashboard:
OpenClaw: This is an open-source agent you fully control and extend. It’s built for action-oriented work, automating tasks across the tools you connected.
Hermes: Designed as a long-running assistant that learns and evolves, with an emphasis on safe, isolated multi- agent work.
Both run on their own dedicated instances, which matters more than it might at first seem.
Why Managed Hosting Matters for AI Agents?
Running an AI agent isn’t quite as normal as an app, for a few reasons.
Uptime is a real challenge
An Agent that’s supposed to work for you around the clock needs a constant power supply, network access, and storage. If any of these fails, the agent simply stops functioning.
Unlike a website that simply goes down and returns to normal after server downtime, an agent failing mid-task can leave things in a messier state and, in some cases, have serious consequences.
Local Hosting Means Risky Access
An agent running on your own laptop can reach everything you can reach, including saved passwords, browser sessions, and private files.
If that agent is compromised, whether through bad plugins, a prompt injection attack, or a simple bug, everything on that machine is exposed.
Running it on its own dedicated server environment flips that default. The Agent only has access to what you explicitly connect it to, such as API keys or specific integrations.
Cloudways builds its AI agent hosting directly around this idea, giving each customer a dedicated instance rather than a shared environment.
So, whatever happens on another Cloudways customer’s AI Agent hosting account never affects your operations.
How to Deploy an Agent on Cloudways: Step by Step
The deployment flow is built to take minutes, not hours. It does not require any configuration, Docker, or command-line work unless you want deeper access later.
Step 1: Name your instance and pick your AI Agent: Give the instance a name, then choose between OpenClaw and Hermes based on what you want it to do.
Step 2: Select your server region: Cloudways currently offers 9 regions to deploy your AI: New York, Amsterdam, Bangalore, Frankfurt, London, San Francisco, Singapore, Sydney, and Toronto.
The Atlanta region currently has no server sizes.
Step 3: Select an Instance size: Four plans are currently available, each scaling up in RAM, vCPU, storage, and bandwidth: Scout, Operator, Squad, and Swarm.
More on what each plan includes below.
Note: RAM size largely determines what your agent can do at once, so pick a plan with enough RAM for your expected agent task.
Step 4: Connect your LLM provider: This is the part where you might not expect much.
Cloudways does not bundle LLM usage into your hosting bills. Instead, you bring your own API keys from a provider such as Anthropic, OpenAI, Gemini, DigitalOcean, or OpenRouter.
Step 5: Agree to terms and deploy: once you accept the terms of service, the agent is provisioned and ready to use from your dashboard.
SSH access is available if you want to go deeper than the dashboard.
Pricing Breakdown
Pricing is tier-based, and each tier lists what you get in terms of compute, storage, and bandwidth.
| Tier | vCPU | RAM | Storage | Bandwidth | Best For |
|---|---|---|---|---|---|
| Scout $4.99/mon | 1 | 2 GB | 50 GB SSD | 2 TB | Light reconnaissance, one or two simple workflows |
| Operator $9.99/mon | 2 | 4 GB | 80 GB SSD | 4 TB | An active, single-purpose agent doing real work |
| Squad $19.99/mon | 4 | 8 GB | 160 GB SSD | 5 TB | Multiple sub-agents coordinating on tasks |
| Swarm $39.99/mon | 8 | 16 GB | 320 GB SSD | 6 TB | Many agents, many tools, always-on autonomy |
At the time of writing, Cloudways is running 50% lifetime promotional pricing across all four of its tiers. If you lock in a plan today, the 50% lifetime access stays the same for the life of the agent.
Expect the price to retrun to standard once the promotional window closes, so check current pricing on the Cloudways site before committing.
The bigger point on pricing is the structure itself. You pay only for the server tier you’re running. There are no bundle AI credits, no hidden usage fees, and no renewal price jump baked into the plan.
Your LLM API costs are billed separately by the provider you connect to, keeping the two expenses clearly separate and making it easy to analyze billing data.
NOTE:
For a deeper look at how Cloudways structures pricing across its broader hosting plans, see our Cloudways pricing guide.
Security and Reliability Features
A few features are built into every tier by default.
Cloudways vs Self-hosted vs Other Managed Platform
If you’re weighing whether managed hosting is worth it over running an agent yourself, the trade-offs generally come down to control versus convenience.
| Factor | Self-Hosting | Cloudways Managed | Other Fully Managed Platforms |
|---|---|---|---|
| Setup time | An hour or more if everything goes smoothly | Under 2 minutes | Under 2 minutes |
| Version updates | Manual, and riskier | Cloudways-validated releases | Managed, but not visible to you |
| SSH access | Full access | Available | Often unavailable |
| Region choice | Depends on your setup | Yes | Often unavailable |
| Bring-your-own LLM key | Yes | Yes | Usually no, often bundled |
| Pricing | Cheap upfront, but with a real-time cost | Per-tier, no renewal surprises | Often less transparent, with intro/renewal price jumps |
The pattern worth noticing is that Cloudways is trying to sit in the middle. You get the visibility and control that usually comes with self-hosting (SSH access, region choice, your own LLM keys) without giving up the setup speed and maintenance handling of a fully managed platform.
If you’re weighing Cloudways against other managed hosts with AI Agent hosting capabilities, our WP Engine vs. Cloudways comparison covers that in more detail.
Who Should (and shouldn’t) Use Cloudways Managed AI Agent Hosting
Cloudways AI Agent hosting makes sense the most for a few specific situations:
It’s a less obvious fit if you’re just experimenting with an agent casually and don’t need 24/7 uptime, since you’re paying for dedicated server time on top of whatever your LLM provider charges for usage.
FAQs
Final Thought
Cloudways AI Agent Hosting is addressing a real gap that’s emerged as AI agents move from novelty to something marketers rely on daily.
Rather than choosing between the security risks of running an agent locally and the time cost of self-hosting a server from scratch, this gives you a middle path: a dedicated, secure environment that’s ready in minutes, with the visibility and control (region choice, SSH access, your own LLM keys) that usually comes with doing it yourself.
If you’re already running an agent on your laptop or thinking about deploying one for the first time, it’s worth looking at how Cloudways has structured this, especially given the current promotional pricing across all four plans.
