Cloudways is attempting to lower the technical barrier for moving artificial intelligence from experimental stages into production environments. By introducing Managed AI Agents, the DigitalOcean-owned platform aims to eliminate the heavy operational overhead typically required to provision infrastructure and secure environments. This move targets developers and agencies who need to deploy sophisticated, open-source AI models without the traditional complexities of manual server configuration.
Deploying OpenClaw and Hermes via Managed Infrastructure
The initial rollout of the Managed AI Agents product line features two prominent open-source projects: OpenClaw and Hermes. These agents carry significant community backing, with OpenClaw holding over 386,000 GitHub stars and Hermes possessing more than 228,000. Cloudways is positioning these tools as a way for users to bypass the manual processes of renting a VPS, configuring containers, or managing ports and gateways. Instead, the company provides a fully managed deployment experience through its existing application hosting platform. This approach allows engineers to focus on agent functionality rather than the underlying maintenance of the runtime environment or the security of the hosting infrastructure.
Integrating AI Agents into Existing Cloud Ecosystems
To bridge the gap between standalone AI models and active business workflows, Cloudways is linking these agents to its broader service suite. The company is offering a 1-click integration with the Cloudways MCP, which enables agents to act directly on the servers and applications a customer already hosts on the platform. Security is a central component of this deployment model; Cloudways states that every agent runs in an isolated environment to mitigate risk. Furthermore, the company intends to validate all agent runtime updates before they are rolled out to customers, a measure designed to prevent the deployment of broken releases. Cloudways plans to expand this portfolio with additional open-source agents over time.
Key Takeaways
- Cloudways has launched Managed AI Agents, starting with the open-source projects OpenClaw and Hermes.
- The service provides a fully managed deployment to bypass manual VPS provisioning, container configuration, and security setup.
- Agents can integrate with existing Cloudways workloads via a 1-click Cloudways MCP integration.
TechInsyte's Take
In our view, Cloudways is making a calculated move to capture the "middle tier" of AI adoption—businesses that have moved past simple LLM prompting but lack the DevOps resources to manage complex agentic workflows. By wrapping established open-source projects like OpenClaw and Hermes in a managed layer, they are commoditizing the infrastructure side of AI. This signals a shift where the value proposition moves from "how do we host this?" to "what can this agent actually execute within our existing application stack?"
Questions & Answers
How does this service reduce the technical debt associated with AI deployment?
The service removes the need for manual infrastructure provisioning, such as setting up VPS instances, configuring security gateways, and managing ports, by providing a fully managed environment for open-source agents.
What security measures are in place for these managed agents?
Cloudways is deploying each agent within an isolated environment and claims to validate all agent runtime updates before rollout to protect users from broken or unstable releases.
Can these AI agents interact with my current web applications?
Yes, through a 1-click Cloudways MCP integration, the agents are designed to act upon the servers and applications that a customer is already running on the Cloudways platform.
Which specific AI models are available at launch?
The general availability launch includes two open-source projects: OpenClaw, which has over 386,000 GitHub stars, and Hermes, which has over 228,000 GitHub stars.
Source: Businesswire
