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AQ vs Orca: the same agent fleet, single-player or multiplayer

Choose Orca if you are one developer who wants a free, MIT-licensed desktop cockpit for running many coding agents at once on your own machine. Choose AQ if agents should run on an always-on machine in the cloud and teammates should be able to open the same live session, watch it, and steer it. The two products agree on the core model (many agents, one isolated git worktree per task, your own CLI subscriptions) and disagree on almost everything around it: Orca is a single-user app whose sessions live where the app runs, AQ is a browser-based team platform whose sessions live on a VM and outlive everyone's laptop.

All claims about Orca below are as of September 2026, verified against its GitHub repository (stablyai/orca) and documentation. Orca ships near-daily releases, so check current state on details.

AQ vs Orca at a glance

AQOrca (as of September 2026)
What it isBrowser-based multiplayer workspace for coding agentsFree, MIT-licensed desktop app for running a fleet of agents in parallel
Where agents runTeam plan: your own VMs or a dedicated AQ-managed VM. Free plan: a private sandbox machine AQ creates for youYour machine by default; optional SSH worktrees or a self-operated remote server (orca serve on a Linux box you provision)
PlatformBrowser on macOS, Windows, Linux, and mobileDesktop app for macOS, Windows, Linux, plus an iOS and Android companion app
Supported agentsClaude Code, Codex, Cursor Agent, Kimi, Grok, plain shells, as real CLIs in persistent tmux30+ CLI agents (Claude Code, Codex, Cursor, Grok, GitHub Copilot, OpenCode, and more), plus any CLI agent
ParallelismOne isolated git worktree per workspace; as many workspaces as you needFan one prompt across several agents, each in its own worktree; compare diffs and merge the winner
Team collaborationTeammates open the same workspace and watch the same live session; owner-delegated terminal control; sharing and guest preview linksNone documented: single-user by design; the mobile app connects you to your own agents
Session persistenceSessions survive laptop close and resume from any deviceSessions live with the machine running Orca; a self-managed remote server keeps them up, but a service restart kills live terminals
Issue tracker intakeLabel a Linear issue ai-task and a workspace appears; status syncs both ways; ownership follows the assigneeIn-app GitHub and Linear browsing; open a worktree from a task
Open sourceNoYes, MIT license, roughly 62,000 GitHub stars
PricingFree personal sandbox; Team $50 per user per month early access (standard $200)Free; no Orca account, no paid tier published

What is Orca?

Orca (onorca.dev, the stablyai/orca project on GitHub) calls itself the ADE, the agentic development environment, "for working with a fleet of parallel agents." It is one of the fastest-growing developer tools in GitHub history: first commit in March 2026, roughly 62,000 stars by early September, MIT-licensed and free, from Stably AI. The desktop app runs on macOS, Windows, and Linux, and works with 30+ terminal agents on the subscriptions you already pay for: Claude Code, Codex, Cursor, Grok, GitHub Copilot, OpenCode, and effectively any CLI agent.

The feature set is genuinely deep. Fan one prompt across five agents, each in its own isolated git worktree, then compare the diffs side by side and cherry-pick hunks into a merge. Terminals are WebGL-rendered with unlimited splits and scrollback that survives restarts, a design mode sends a clicked UI element's HTML, CSS, and screenshot into an agent's prompt, GitHub and Linear are browsable in-app, and comments dropped on diff lines go back to the agent. A mobile companion (iOS and Android) pairs with your desktop to mirror terminals, type from the phone, and push a notification when an agent finishes. For remote execution there are SSH worktrees (the checkout and agent live on a host you add) and a headless server mode: orca serve turns a Linux box you provision into a remote agent runtime your desktop and phone pair with.

What is AQ?

AQ is the multiplayer coding harness where engineering teams run AI coding agents like Claude Code and Codex together: shared live terminals, a code editor, and app previews, in your own cloud.

Every AQ workspace is an isolated git worktree (branch ai/{id}-{slug}, automatic dependency install, one-click rebase onto main) on a machine dedicated to you: on the Team plan a VM you connect from your own cloud or a dedicated always-on AQ-managed VM, on the Free plan a private sandbox machine AQ creates for you. Agents are the real CLIs your engineers already subscribe to (Claude Code, Codex, Cursor Agent, Kimi, Grok, or plain shells), running in persistent tmux sessions streamed live to the browser; per-user CLI logins mean AQ never marks up model usage. Sessions survive a closed laptop and resume from any device, including a phone. Teammates open the same workspace and watch the same live terminal, editor, and dev-server preview, with terminal input delegated by the owner in one click. Workspaces are team-visible or private and shared with specific people, previews get links that work without an account for viewing, and comments pinned on a preview can be sent to the agent as prompts. Linear intake is native: label an issue ai-task and a workspace appears, status syncs both ways, and ownership follows the assignee.

Where Orca stands out

Where AQ wins

The deeper difference: whose problem is the fleet?

Orca and AQ share a thesis: the unit of AI-assisted work is now a fleet of agents in isolated worktrees, not one assistant in a sidebar. Orca answers it for a person; AQ answers it for a team, and that distinction matters more than any feature row, because the fleet workflow is solitary by default. A July 2026 LeadDev analysis of 25,264 agent-generated pull requests across 2,361 popular GitHub repositories found that in 79 percent of agentic PRs the same developer both reviewed and modified the agent's contribution, and only about one in eight workflows involved multiple humans (LeadDev, July 2026). A better single-player cockpit makes that loop faster without making it less solitary. Making it a team activity requires sharing the session itself, not just the repo: someone else watching the agent work, catching a wrong turn live, taking a handoff mid-run. That is the layer AQ builds and Orca, deliberately, does not. For the vendor-neutral mechanics, see our guides to running multiple coding agents in parallel and monitoring many agent sessions.

Pricing compared

Orca is free: MIT-licensed, no account, no published paid tier as of September 2026, with your agent subscriptions as the only cost, plus whatever server you operate for remote execution. AQ has two public plans: Free (a personal sandbox for one person; AQ creates a private machine in an isolated network, nothing to install, no time limit) and Team at $50 per user per month early access (standard $200, billed monthly, rate locked for your first 12 months), covering VMs you connect from your own cloud or a dedicated always-on AQ-managed VM. Inviting a teammate costs nothing until the person accepts and joins. On both products, agents bill through your own Claude and OpenAI accounts; AQ never marks up model usage.

Bottom line

If you are one developer on one machine, Orca is the best free single-player fleet cockpit available right now, and there is no honest case for paying for AQ instead. The comparison changes when the constraint you hit is Orca's shape rather than its quality: agents that should keep working after the lid closes, a teammate who should see the session rather than a screen-share, work that arrives from a tracker and belongs to a team. Always-on execution and multiplayer are the two things AQ builds in that Orca leaves to you or does not attempt. Evaluating costs nothing on either side: Orca is a free download, and AQ's Free sandbox has no time limit. If the real question is which category of tool you need, our guide to choosing a coding harness maps the space, and the Orca alternatives page covers the wider field.

Frequently asked questions

Is Orca free?

Yes. As of September 2026 Orca is MIT-licensed and free: desktop downloads for macOS, Windows, and Linux, an iOS and Android companion app, no Orca account, and no published paid tier. You bring your own agent subscriptions. AQ has a free personal sandbox with no time limit; its Team plan is $50 per user per month early access (standard $200).

Can teammates join an Orca session?

No. As of September 2026 Orca documents no team or multi-user features: it is one developer's cockpit, and the mobile app pairs that developer's own phone to their own agents. On AQ, teammates open the same workspace and watch the same live terminal, editor, and preview, and the session owner can delegate typing in one click.

Do Orca agents keep running when I close my laptop?

Not by default: agents run where Orca runs. Orca does offer SSH worktrees and a headless server mode (orca serve on a Linux machine you provision and operate), which keep agents on a remote box, but you build and maintain that setup yourself, and a server restart kills live terminals. AQ runs every session in persistent tmux on an always-on VM as the default, so sessions survive laptop close and resume from any device.

Do AQ and Orca run the same coding agents?

They overlap heavily. Orca supports 30+ CLI agents (Claude Code, Codex, Cursor, Grok, GitHub Copilot, OpenCode, and more) plus any CLI agent, as of September 2026. AQ runs Claude Code, Codex, Cursor Agent, Kimi, Grok, and plain shells as real CLIs in persistent tmux sessions. Both authenticate agents through their native CLI logins on your own subscriptions, and AQ never marks up model usage.

Should I use Orca or AQ?

Solo developer, one machine, happy to self-manage any remote setup: Orca, and it costs nothing. Team that wants shared live sessions, always-on execution without operating a server, and tracker-driven intake: AQ. Many people reasonably use both: Orca as a personal local cockpit, AQ as the place team work runs and gets watched. Both are free to try, so the cheapest answer is to run your real workflow through each.