Runloop AI
Run agents in sandboxes and keep them in the loop on GitHub PRs
Runloop AI provides sandboxed devboxes for agent workflows, including turn-based interaction through GitHub pull requests. It’s aimed at developers building coding agents that need to execute commands, keep state across turns, and respond to reviewer comments.
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About
Runloop AI is an agent infrastructure and developer tooling platform for running AI agents inside sandboxes/devboxes. The documentation shown here focuses on a turn-based workflow where an agent monitors a GitHub pull request, posts progress updates, and acts on PR comments as new tasks.
This is a practical pattern for human-in-the-loop coding agents: reviewers can guide the agent through PR comments, and the agent can keep context across multiple comments. The docs also note a production-friendly approach using GitHub webhooks instead of polling.
Proposes and executes multi-step plans with your approval.
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