Analysis3 min read
Orca and T3 Code: two interfaces for running many coding agents, compared
Orca and T3 Code both aim to end the terminal sprawl that comes with running several coding agents at once. Both are open source and use your existing subscriptions – but they focus on different things: Orca on orchestration, T3 Code on lean control you can reach from anywhere.
Once you use Claude Code, Codex or Cursor seriously, you end up running several agents at once – and juggling a dozen terminal windows. Two open-source projects promise order: Orca by Stably AI and T3 Code from the team behind the T3 Stack. Both are free, ship no models of their own and use the subscriptions you already pay for. In the details, they differ considerably.
What they share
- Bring your own agent. Both drive existing agent CLIs, including Claude Code, Codex, OpenCode and Cursor, plus Copilot and Gemini (Orca) or Grok and Antigravity (T3 Code).
- Separate working copies. Orca gives every agent its own Git worktree; T3 Code gives every thread its own branch. Parallel agents don't overwrite each other.
- Mobile. Both have iOS and Android apps for following agents on the go.
- Open source, MIT license, early stage. Both projects started in 2026 and change quickly.
Orca: a development environment with a coordinator
Orca describes itself as an "agent development environment". The desktop app combines chat, terminal, a built-in browser, a diff view and a CLI. Its standout feature is orchestration: a coordinator agent splits a task, starts workers in separate worktrees and merges the results. You can also give the same task to several agents and compare their solutions. Agents can keep running on SSH hosts or cloud VMs while your laptop is closed. GitHub and Linear integrations and scheduled automations round it out.
T3 Code: a lean control plane
T3 Code calls itself a "control plane" for coding agents. The approach is more minimal: a T3 Code server runs on your machine or a VM, and you reach it from the web app, the desktop app or your phone. The focus is on threads with different providers, one branch per thread and a PR button that drafts title, description and changelog. Installation is a one-liner; npx t3@latest is enough to try it. The team itself warns the project is "very very early".
Which one fits you?
| Orca | T3 Code | |
|---|---|---|
| Focus | Parallelize and orchestrate | Control and reach from anywhere |
| Interface | Desktop app with browser, terminal, diff | Web, desktop, mobile – one server |
| Isolation | Worktree per agent | Branch per thread |
| Notable | Coordinator agent, comparing solutions | PR drafting, self-hosting on a VM |
- Orca is worth it if you want to deliberately split larger tasks across agents and compare results.
- T3 Code fits if you mainly want a tidy interface for several providers and want to drive sessions on a remote machine from a browser or phone.
What to watch out for with both
- Costs scale too. Parallel agents consume your subscription quota or API budget in parallel.
- Permissions. Agents run commands on your machine or server. A server reachable over the network needs to be secured – not exposed openly to the internet.
- Review stays human. More agents produce more code. Diff views and generated PR descriptions don't replace review.
- Pace of change. Both ship new versions frequently; features and workflows can change fast.
Perspective
Orca and T3 Code show where coding tools are heading: away from a single assistant in the editor, toward a control room for several agents. For teams, this is the moment to set rules – which repositories agents may touch, who approves results and how costs stay visible. Which tool fits is more a matter of taste than a fundamental decision; both can be tried without lock-in.