Top AI Product

There’s a new breed of developer tool quietly gaining traction, and [Emdash](https://www.emdash.sh/) might be the most interesting one I’ve come across recently. Fresh out of [Y Combinator’s W26 batch](https://www.ycombinator.com/companies/emdash), it popped up on [Show HN](https://news.ycombinator.com/item?id=47140322) on February 24th and racked up 198 points with 70+ comments — clearly hitting a nerve with the dev community.

So what is it? Emdash is an open-source desktop app (built on Electron and SolidJS) that lets you run multiple AI coding agents in parallel. We’re talking Claude Code, Codex, Qwen Code, Amp, GitHub Copilot, Goose, and over a dozen others — 21 supported agents and counting. The clever part is how it handles isolation: each agent gets its own git worktree, so they’re all working on the same repo without stepping on each other’s toes. You can throw the same task at three different agents and just pick whichever result you like best. The team calls this “Best-of-N” mode, and honestly, it feels like the obvious way to use these tools once you see it in action.

What really makes it practical is the workflow integration. You can pull tickets directly from Linear, GitHub, or Jira, hand them off to an agent, review the diff, and push a PR — all from one interface. It also supports SSH remote development, so you’re not locked into running everything on your local machine. For teams spinning up beefy cloud instances for AI work, that’s a big deal.

On the privacy front, Emdash stores everything locally in SQLite. The telemetry is limited to anonymous usage events — no code, no file paths, no prompts leave your machine. The whole thing is [MIT-licensed on GitHub](https://github.com/generalaction/emdash), so you can verify that yourself.

The HN comments tell an interesting story. One user described their progression as “Cursor to Claude Code CLI to Emdash,” and several others confirmed they’d been using it daily. There are rough edges — some folks reported Linux compilation issues and UI slowdowns with large task loads — but for a tool this early, the trajectory looks promising. If you’ve been juggling multiple AI coding tools in separate terminals and wishing for a better way, Emdash is worth a serious look.