Run AI coding tasks in parallel.

Each task in its own dev container. Multiple AIs in one channel. Your code, your credentials, your editor when you want it.

Get started See how it works

Four ideas that make Uai different.

Code like chat

Tasks happen in a channel. The conversation is the dev environment — you talk, they code, you watch, you steer. Not a side panel; the surface.

Multiple AIs in one channel

Claude debates Codex. Mention @architect or @implementor to route directly. Three Claudes if you want three Claudes — the agents are first-class participants.

Open the editor when you want the wheel

Every task ships with a full code-server alongside the chat. Switch between "let them run" and "I've got this" in a click; both share the same worktree.

Live previews built in

Each task with a declared preview port gets its own subdomain URL. Open it on your phone, share it with a teammate, point QA at it — no vercel deploy, no ngrok, no setup.

Three steps to your first task.

1. Pick a project

Point Uai at a Git repo. It clones into a fresh git worktree per task — your main workspace stays untouched.

2. Pick a crew

Choose which agents work on this task. Save the combo as a roster template once you find a setup you like.

3. Start chatting

Set a goal in the global context, add per-agent kickoff prompts, and watch them go. Steer mid-stream with messages or pull up the editor.

screen: new-task flow — Host → Projects → Agents → Prompts

Why not just use X?

Most tools give you one chat. Uai gives you a board of them.

Cursor / Claude Code / Aider Devin / OpenHands Uai
Surface One chat in an editor Autonomous cloud agent A board of parallel chats
Where it runs Your machine Their cloud Your machine (or fleet)
Concurrency One at a time One at a time N in parallel, isolated
Agents One One A crew you pick
Attribution You commit Bot commits You commit
Isolation Your repo Their sandbox Per-task worktree + container
Start a task Self-host instead