Top AI Product

If you’ve been using Claude Code or Codex CLI for any serious work lately, you’ve probably hit the same wall I did: one agent at a time just doesn’t cut it anymore. You kick off a refactoring task, and while it’s churning away, you’re sitting there wishing you could start debugging something else in parallel. Well, [Superset](https://superset.sh/) fixes exactly that, and it does it with surprising elegance.

Superset is an open-source terminal application that lets you run 10+ AI coding agents simultaneously on a single machine. Think Claude Code, OpenAI Codex CLI, OpenCode, or really any CLI-based agent, all going at once without stepping on each other’s toes. The trick is that each agent gets its own isolated Git worktree, meaning separate branches, separate working directories, zero merge conflicts while they’re working. You just review and merge when you’re ready.

What sold me is the built-in tooling. There’s a diff viewer right inside the app so you can inspect what each agent changed, a monitoring panel that tells you which agents need your attention, and IDE deep links so you can jump straight into code from the interface. It turns what would normally be a chaotic mess of terminal tabs into something you can actually manage.

The project has been picking up serious momentum. It hit [#1 on Product Hunt](https://www.producthunt.com/products/superset-5) today with strong community support, and the [GitHub repo](https://github.com/superset-sh/superset) already has over 2k stars. There’s been a decent [Hacker News discussion](https://news.ycombinator.com/item?id=46368739) around it too, with developers sharing how they’re using it in their daily workflows.

Under the hood, it’s an Electron app built with React and TypeScript. Configuration lives in a simple `.superset/config.json` file where you set up your agent preferences, environment variables, and workspace settings. It runs on macOS, Windows, and Linux, though macOS seems to be the most battle-tested platform so far.

Honestly, this feels like a natural next step in how we work with AI coding tools. We went from chatting with one model to running autonomous agents, and now we’re orchestrating teams of them. If you’re already deep into the agent workflow and keep wishing you had more parallel capacity, [give Superset a look](https://superset.sh/). It’s free, it’s open-source, and it might just change how you structure your coding sessions.