Cursor 3 Goes Agent-First: Does the Heavy AI Work Leave Your Machine?

Cursor 3 landed on 2 April 2026 with a new Agents Window that reshapes how the editor works, and it brings an obvious question for anyone coding on a modest local machine: if you are running multiple AI agents at once, where does all that compute actually happen? The short version is that the heavy lifting moves off your laptop and onto the cloud, which changes what kind of hardware you genuinely need.

Quick Answer

With Cursor 3, the expensive inference runs server-side on cloud models like Composer 2, not on your own GPU. That means a mid-range laptop or desktop can comfortably drive several parallel agents, because your machine is sending requests and rendering results, not crunching the model itself. Local horsepower still matters for builds, tests, and large repos, just not for the AI itself.

What changed in Cursor 3

Cursor 3 was built under the internal codename Glass and is the biggest interface overhaul since the product first shipped. The headline feature is the Agents Window, a separate pane that sits alongside the familiar editor. In the classic IDE you write code and the AI assists. In the Agents Window you direct a set of agents and drop into the editor only when you want to go deeper.

Those agents can run in parallel across your local machine, separate git worktrees, cloud sandboxes, and remote SSH environments, all managed from one place. The release arrived about two weeks after Composer 2, Cursor's in-house coding model, which shipped on 19 March 2026 and represents a real step up in capability.

Does the heavy work leave your machine?

For the AI itself, yes. Composer 2 and the other cloud models Cursor calls run on remote infrastructure, so the model inference, by far the most demanding part, never touches your processor or graphics card. When you fire off three agents to work on different files, you are not running three large language models locally. You are coordinating three cloud jobs.

What stays local is everything around the AI: the editor, your project files, the language servers, and crucially the builds and test runs the agents trigger. If an agent rewrites a module, your machine still has to compile and run the tests. So a fast CPU, plenty of RAM, and a quick SSD still pay off, just for the development workflow rather than the model.

What this means for an SA developer's hardware budget

You do not need a workstation graphics card to use Cursor 3 well, which is good news given local pricing on high-end GPUs. A capable laptop or desktop with a modern multi-core CPU, 16GB of RAM as a floor and 32GB if you work in large repos, and a fast NVMe SSD will run the editor and its parallel agents smoothly. A stable, decent fibre line matters too, since the agents are constantly talking to the cloud.

If you are speccing a machine specifically for agent-heavy AI development, the AI PC range at Evetech is the sensible place to look, since those builds pair strong CPUs with the memory and storage that this kind of workflow leans on. For a more general view of what is selling and well-balanced right now, the best-selling desktops give a quick read on solid all-round configurations.

Frequently Asked Questions

Do I need a powerful GPU to run Cursor 3?

No. The AI inference runs on cloud models server-side, so a high-end local graphics card is not required for the agents themselves. A GPU still helps with other creative or compute work, but it is not the bottleneck for Cursor 3.

How much RAM should I have for parallel agents?

Treat 16GB as the minimum and 32GB as comfortable, especially if you open large codebases or run several builds and test suites alongside the agents. The agents are cloud-driven, but the editor and your tooling still consume local memory.

Does Cursor 3 work offline?

Not for its AI features. Because the models run in the cloud, the agents need an internet connection to function. You can still edit files locally, but the agentic features depend on connectivity.

Is Cursor 3 based on VS Code?

The Agents Window in Cursor 3 is a fresh interface rather than a simple VS Code reskin, built under the Glass codename. The familiar editor experience remains available when you want to work directly in code.

What does Composer 2 add?

Composer 2 is Cursor's own coding model, shipped 19 March 2026, and it is the engine behind much of the agent work in Cursor 3. It runs server-side, so its capability does not depend on your local hardware.