Orca is an open-source AI orchestrator (the team calls it an ADE, Agent Development Environment) for "100x builders", dropping multiple AI coding agents into one desktop app so they run side-by-side, each in its own isolated git worktree, all tracked in one place. As of late July 2026 it sits at 30,945 stars, 2,197 forks, MIT license, TypeScript, repo created March 17, 2026, latest release v1.4.159, Y Combinator-backed, covering macOS / Windows / Linux desktop plus an iOS / Android mobile companion. What it does in one sentence: instead of picking one agent, you let Codex, Claude Code, Cursor, OpenCode, Pi and other CLI agents work the same job at once, then diff their outputs and merge the winner-saving the manual chore of opening N terminals, switching windows, and pasting the prompt N times.
What Pain It Solves
Anyone using Claude Code or Cursor has hit these: to try several approaches to one task you open three terminals, three folders, paste the prompt three times, then diff the outputs yourself-your brain melts first; you switch away while an agent runs, come back to find it stuck on an error waiting for input, with no notification; you want to check on it during your commute, but there's no phone entry point; you try running the agent on a beefy cloud box, but SSH dies and the worktree context is gone; multiple agents edit files and step on each other, merging unclean. Orca packs all of this into one IDE: one prompt fans out to N agents, each in its own git worktree, isolated and non-polluting, with a unified diff view to compare when done; agent completion or input-needed pushes to your phone, and the mobile companion sends follow-ups from anywhere; orca serve plus SSH worktrees puts heavy jobs on a cloud box with auto-reconnect and port forwarding built in. The core shift is from "one agent, one window" to "N agents side-by-side, unified scheduling."
One Prompt Fans Across 5 Agents, Each in Its Own Worktree
This is Orca's signature move. The traditional flow is you tell Claude Code "rewrite this function," it returns one result, and you judge correctness against that single output. Orca's Parallel Worktrees lets you fan the same prompt to up to 5 agents at once-Claude Code, Codex, Cursor, OpenCode, Pi each in its own isolated git worktree, five lines of thinking running in parallel, file changes isolated so they don't pollute each other, compared in a unified diff view when done, winner merged into main. Worktrees give native git isolation: each agent edits freely in its own working tree, rolls back anytime, never blocks the others, and you arbitrate merge conflicts. On compatibility, the README states plainly "any CLI agent that runs in a terminal runs in Orca," with 29 already listed: Claude Code, Codex, Grok, Cursor, GitHub Copilot, OpenCode, MiMo Code, Amp, OpenClaude, Antigravity, Pi, oh-my-pi, Hermes Agent, Devin, Goose, Auggie, Autohand Code, Charm, Cline, Codebuff, Command Code, Continue, Droid, Kilocode, Kimi, Kiro, Mistral Vibe, Qwen Code, Rovo Dev-mixing commercial SaaS (Devin, Cursor) with open-source (Goose, Cline, OpenCode), all scheduled under one orchestration layer. Orca itself is MIT and free, but the agents it orchestrates each require your own subscription or key-it doesn't proxy billing.
Phone as Remote: Mobile Companion + SSH Worktrees
These two go together because they solve "the agent is running, I'm not at the keyboard." The mobile companion is iOS App Store / TestFlight + Android APK 0.0.32, paired with the desktop, letting your phone watch each agent's progress, push notifications on completion, and send follow-ups from anywhere-during a commute, say. Note it doesn't move the agent onto the phone; the mobile side only monitors and steers, real work still happens on the desktop or server. SSH worktrees solve "heavy work on a cloud box": agents run on a beefy remote machine with full file editing / git / terminal capability, auto-reconnect on drop, port forwarding built in-close your laptop, context survives. Pair with orca serve for headless Linux servers, with a dedicated headless Linux server guide. Add the built-in account switcher and usage tracking-showing Claude and Codex usage and rate-limit resets, with one-click hot-swap when near quota-and "remote heavy box + phone monitoring + multi-account rotation" becomes feasible, something single-machine single-account agent usage can't do.
Not Just a Terminal: Design Mode, Diff Annotation, Native GitHub/Linear
A lot of people assume Orca is just a multi-terminal shell, but its IDE layer goes deep. The terminal itself is Ghostty-class, WebGL rendering, infinite splits, scrollback that survives restarts-already top-tier. On top of that, Design Mode lets you click any UI element in a real Chromium window and send its HTML / CSS / cropped screenshot straight into the agent's prompt, so for frontend changes the agent doesn't have to guess which button you mean. Annotate AI Diffs lets you drop comments on any diff line and ship them back to the agent-review, edit, commit without leaving Orca, closing the human-review loop inside the orchestrator. GitHub & Linear are native: browse PRs, issues, project boards in-app, open a worktree from any Linear task without a context switch. Add Computer Use (agents operate desktop apps and visible UI when real interaction is needed), drag files into prompts (VS Code editor core, autosave, drag images straight in), Quick Open (search across worktrees / files / agents / commands), and rich previews (Markdown / images / PDFs / repo docs in-place). There's also the Orca CLI: orca worktree create, snapshot, click, fill to script workflows, or let agents drive Orca themselves. Together these push Orca from "multi-terminal" to "a complete IDE for agents."
Three-Minute Setup
# 1. Install (macOS, Homebrew is easiest)
brew install --cask stablyai/orca/orca
# Arch Linux: yay -S stably-orca-bin
# Or grab dmg / exe / AppImage directly: onorca.dev/download
# 2. Launch Orca, let it pick up your existing CLI agents
# Claude Code / Codex / Cursor / OpenCode / Pi, etc.
# If it runs in a terminal, Orca can orchestrate it
# 3. Minimal runnable: one prompt fanned across worktrees
# New task, pick 3-5 agents in parallel
# Each agent gets its own git worktree automatically
# Compare in unified diff view when done, merge the winner
# 4. Headless server (optional)
orca serve
# See docs/reference/headless-linux-server.mdOnce the desktop app is running, pair the mobile app by scanning a QR code. To script workflows, use orca worktree create to spin up a worktree, snapshot for state, click / fill to drive UI, and hook it into your existing CI or cron.
Who It's For + Pitfalls
For: developers who want multiple approaches to one task compared and merged; people running several agents (Claude Code + Codex + Cursor) who want unified scheduling; remote / commuter-heavy workflows needing phone-side monitoring; anyone wanting agents on a beefy cloud box without fearing SSH drops.
Five pitfalls. One, Orca is MIT and free, but the agents it orchestrates each need your own subscription or key-Claude Code burns Anthropic quota, Cursor needs a Cursor subscription, Devin is commercial SaaS; Orca doesn't proxy billing, and parallel multi-agent runs burn your own quota fast. Two, resources: 5 agents in parallel each open their own worktree + terminal + LLM calls, straining local memory and API quota-if your machine can't take it, move to SSH worktrees on a cloud box. Three, compatibility has edges: the README says "any CLI agent" but 29 have official integrations; agents outside that list may need manual launch-command and parameter config, don't expect fully automatic. Four, the mobile app is monitor-and-steer only, not an independent agent runtime-the phone can't run the LLM, the desktop or server must stay on. Five, the project is new: created March 17, 2026, only about four months old by late July, and the team literally writes "we ship daily," which means breaking changes are possible-watch the changelog before production dependency.
vs. the Competition
Against standalone Claude Code, the essence is "one agent, one window" vs. "multiple agents, unified orchestration": standalone Claude Code gives you one result per run, you diff manually; Orca lets you run Claude Code + Codex + Cursor side-by-side, with worktree isolation, unified diff, mobile monitoring, and SSH remote-an orchestration and IDE layer over the agent. Against Devin: Devin is closed-source SaaS, agent + environment bundled and sold, you don't pick the underlying model; Orca is open-source MIT orchestration, agents are your own CLI agents, models go through your own key-transparent and controllable, but the configuration cost is on you. Against OpenHands: OpenHands is an open-source agent framework (Python) where you write agent logic; Orca doesn't write agents, it orchestrates existing CLI agents-positioned as a scheduling layer, not an agent implementation. In one line: if you just want one agent and one result per task, standalone Claude Code is enough; if you want multiple approaches compared in one go, multi-agent unified scheduling, plus mobile and remote orchestration-Orca.
References
- Orca GitHub repo (30,945 stars, MIT, TypeScript): https://github.com/stablyai/orca
- Orca official site (download / docs / mobile): https://onorca.dev
- Orca docs (worktree / SSH / CLI / Design Mode): https://www.onorca.dev/docs
- Mobile Companion (iOS App Store / TestFlight / Android APK 0.0.32): https://www.onorca.dev/docs/mobile
- Releases (latest v1.4.159, all-platform builds): https://github.com/stablyai/orca/releases