Loopyard vs Codex
Codex is OpenAI's coding agent across CLI, IDE, desktop, and cloud. Loopyard is a self-hosted harness for Claude Code with live, shared environments.
Codex is OpenAI’s coding agent. It runs as a CLI, an IDE extension, a desktop app, and in cloud environments you can delegate tasks to, with sandboxing, approvals, scheduled tasks, and pull request workflows. It uses OpenAI’s models and plugs into ChatGPT.
What Codex does
- OpenAI’s models, in the OpenAI ecosystem.
- Local (CLI, IDE, desktop) and cloud execution, including delegating long-running tasks to sandboxes and reviewing results as PRs.
- Sandboxing, approvals, and permission profiles.
- Code review, scheduled tasks, and computer use.
What Loopyard does differently
- Self-hosted and local-first. Loopyard is an open-source server you run. Code lives in Docker volumes on your hardware; agents execute in containers on your machine; keys stay with you.
- A live environment. The agent boots the actual dev server. You click around the running app while the agent works, and the environment persists between sessions.
- Multiplayer. Several people in one session: watch the agent, share its terminal, answer its questions from a phone. Review happens in the session as the work unfolds, not only in a PR afterward.
- Claude Code underneath, with Anthropic’s models.
Which should you pick?
If you are in the OpenAI ecosystem and want an agent that spans local tools and delegated cloud runs, that is what Codex is. Pick Loopyard for Claude Code in a self-hosted, containerized setup where the app is running while agents work and your team shares the session.