Cloudflare launches @cloudflare/computer – a new runtime for AI agents
Cloudflare has launched the @cloudflare/computer runtime for AI agents. By combining lightweight isolates with full Linux containers, agents are granted access to tailored computing resources.

What happened?
Cloudflare has announced @cloudflare/computer, a new runtime specifically built for AI agents. The system dynamically orchestrates resources between fast, resource-efficient isolates and full Linux containers. This grants each individual AI agent access to a virtualised computing environment tailored to its specific computational requirements.
Key facts
| Produktnamn | @cloudflare/computer |
|---|---|
| Produkttyp | Agent runtime (körmiljö för AI) |
| Tekniker | Isolates och Linux-containrar |
”Agents need more than just a container to scale. We're introducing @cloudflare/computer, an agent runtime that dynamically orchestrates between fast, efficient isolates and full Linux containers to give every agent a computer of its own.”
Why it matters
Traditional containers are often too slow and costly to initialise for short-lived agent tasks, while isolated code environments lack support for full Linux operating systems. By combining these two technologies, Cloudflare addresses a central bottleneck in the scaling of AI agents.
Who is affected?
The solution is primarily targeted at software developers and AI companies building autonomous agents that require code execution or long-running processes. It is also aimed at organisations seeking to scale agent-based workflows without the need to build their own complex container infrastructure.
Impact on the EU
The @cloudflare/computer tool is available globally on Cloudflare’s platform, meaning developers and companies within the EU can access the infrastructure directly. No specific regulatory restrictions for the EU have been announced at launch.
What else you should know
With this launch, Cloudflare makes a definitive move into the infrastructure layer for autonomous AI agents. By integrating both lightweight isolates and heavy containers into the same environment, the company challenges traditional cloud providers that offer more static container solutions.
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- Assess technical risk: model choice, vendor lock-in, data flow and running cost.
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