loopyard

Loopyard vs Cursor

Cursor is an AI editor with agents in the IDE and in its cloud. Loopyard is a self-hosted harness where agents run whole environments.

Cursor is an AI-powered editor with agents at several levels: assistance and targeted edits while you type, agents in the IDE, cloud agents that build and test features on Cursor’s infrastructure, and background automations for scheduled or event-driven work. It supports models from several providers and integrates with GitHub and Slack.

What Cursor does

  • An editor with AI in the write-navigate-refactor loop.
  • Agents in the IDE plus cloud agents that run tasks end to end on Cursor’s machines.
  • Background automations for maintenance and CI fixes.
  • Model choice across providers, GitHub PR review, Slack integration.

What Loopyard does differently

  • Self-hosted. Cursor’s cloud agents run on Cursor’s computers. Loopyard is an open-source server you run; agents work in Docker containers on your hardware and your code never leaves it.
  • The environment comes included. Agents write the Dockerfile and Docker Compose and boot the dev server, so there is a running app to use during the work, not just edited files.
  • Multiplayer sessions. A team can watch one agent debug, share the same terminal, and answer its questions from any device.
  • It is not an editor. You will still use one, including Cursor, on the same repo.

Which should you pick?

For hands-on coding with AI in the editor, and delegated tasks in a managed cloud, Cursor covers both on its own infrastructure. Pick Loopyard when you want that delegation self-hosted: agents in containers on your machines, a live dev server, and sessions your team shares. Most people will use both: an editor for the code you write yourself, Loopyard for the work you hand off.

Run it on your machine

git clone github.com/loopyard/loopyard.git
cd loopyard
mix loopyard.setup

Free and open source on GitHub. Follow @loopyardai.