What is an AI agent orchestrator?

An AI agent orchestrator is an app that runs and manages several AI coding agents — like Claude Code, Codex, or Gemini CLI — at the same time, each working on its own task, so you can supervise a fleet instead of babysitting one terminal. It is the layer above the agents: it doesn't write code itself, it starts, isolates, watches, and merges the work of the agents that do.

The moment one AI agent can finish a task unattended, the bottleneck stops being the model and becomes you — a human who can only watch one session at a time. Orchestrators fix that: spin up five agents on five branches, glance at a dashboard to see which are working, done, or waiting on you, and review their diffs in one place. That's the whole pitch.

The four kinds of orchestrator app

Every app in this directory is one of four shapes. They differ mostly in where the interface lives:

How do they keep parallel work from colliding?

If two agents edit the same repo at once, they'll trip over each other. Orchestrators solve this with an isolation primitive, and the industry has largely converged on one:

• • Git worktrees — each agent gets its own checkout on its own branch. The de-facto standard; most desktop and web apps use it.
• • tmux sessions — each agent lives in a detached terminal session that survives disconnects. Common in TUI-based tools.
• • Containers — Docker/Podman sandboxes for stronger isolation and reproducible environments.
• • Cloud VMs — the whole workspace runs on a remote machine, so agents keep going after you close your laptop.

Supervised vs. unattended

The sharpest dividing line between tools isn't looks — it's how long they can run without you. Most orchestrators are supervised: you approve steps and review diffs as agents go. A smaller set is built for unattended runs — agents work for hours, and the app notifies you (often on your phone) only when one is blocked or done. If you want to fire off work and walk away, that capability is the thing to filter for.

Native vs. Electron

Among desktop apps, some are true native builds (Swift/AppKit on macOS, often GPU-accelerated), others are cross-platform Electron or Tauri wrappers. Native apps tend to feel snappier and lighter; cross-platform ones bring Windows and Linux along. Neither is "better" — it depends on whether you value native feel or broad OS support.

How to choose one

• → Live in the terminal? A TUI keeps everything where your agents already are — no context switch.
• → Want a visual overview? A desktop app or web dashboard gives you a kanban or tiled view of every session.
• → Need it to run while you sleep? Look for cloud or remote-server support and a mobile companion.
• → Care about cost or auditability? Filter for open source — plenty of strong options are free and MIT/Apache-licensed.
• → Committed to specific agents? Check the supported-agents list — coverage ranges from two adapters to twenty-plus.