Orca: The Open-Source ADE With 43,000+ GitHub Stars That Orchestrates Your AI Coding Agents in Parallel

What Is Orca and Why Is It Taking Over GitHub?

If you've been building with AI coding agents in 2026, you've probably hit the same wall: you're running Claude Code in one terminal, Codex in another, maybe Cursor in a third — and none of them talk to each other. You're manually copying diffs, switching contexts, and praying nothing conflicts.

Orca (43,000+ stars, MIT-licensed, YC-backed) solves this with a single, elegant idea: one environment that orchestrates all your AI agents in parallel, each in its own Git worktree, tracked in one place.

Created in March 2026 by the team at Stably AI, Orca has grown from a niche tool for power users into the de facto standard for developers who treat AI agents as a fleet to be managed — not a single assistant to be babysitted.

Parallel Worktrees: The Killer Feature

Here's the workflow that makes Orca indispensable:

1. You write one prompt — "Refactor the auth module to use JWT refresh tokens"
2. Orca fans it out across five agents: Claude Code, Codex, Cursor, OpenCode, and Pi
3. Each agent runs in its own isolated Git worktree — no conflicts, no clobbered files
4. You compare the results side-by-side — diffs, code quality, test coverage
5. You merge the winner — one click, clean commit

This isn't theoretical. For complex refactors, different agents genuinely produce different solutions. Claude Code might nail the architecture but miss edge cases. Codex might write cleaner tests. Orca lets you see all of them and pick the best — or cherry-pick the best parts of each.

# Create parallel worktrees from the CLI
$ orca worktree create --agents claude-code,codex,cursor \
    --prompt "Add pagination to the /api/users endpoint"

# Each agent gets its own branch:
# → worktree/claude-code/add-pagination
# → worktree/codex/add-pagination  
# → worktree/cursor/add-pagination

# Compare and merge when done
$ orca worktree compare
$ orca worktree merge worktree/claude-code/add-pagination

Mobile Companion: Steer Agents From Your Phone

Orca ships with native iOS and Android companion apps. When an agent finishes a task, you get a push notification. You can review the diff, send follow-up instructions, or approve a merge — all from your phone.

This is huge for async workflows. Start three agents on a Friday afternoon, get notified when they finish, review on Saturday morning from the couch. The mobile app isn't a stripped-down viewer — it's a full control plane.

Design Mode: Click UI Elements, Send Context to Agents

One of Orca's most clever features is Design Mode. Open your app in the embedded Chromium browser, click any UI element, and Orca extracts the HTML, CSS, and a cropped screenshot — then injects it directly into your agent's prompt.

Instead of writing "the blue button in the header is misaligned," you just click it. The agent gets the exact DOM context it needs. This alone saves 10-15 minutes of back-and-forth on every UI fix.

Terminal That Actually Works

Orca uses a Ghostty-class terminal with WebGL rendering, infinite splits, and — critically — scrollback that survives restarts. When an agent crashes or you restart your machine, your terminal history is still there.

The terminal supports drag-and-drop files, image pasting, and the orca CLI can script everything: create worktrees, take snapshots, click UI elements, fill forms. Agents can drive Orca too.

Real-World Example: Migrating a Monorepo

Let's say you're migrating a 200-service monorepo from Jest to Vitest. Here's how you'd use Orca:

# 1. Generate the list of packages
$ packages=$(ls packages/)

# 2. Fan out across 5 agents, each handling different packages
$ for pkg in $packages; do
    orca worktree create \
      --agent claude-code \
      --branch "migrate/$pkg" \
      --prompt "Migrate packages/$pkg from Jest to Vitest. \
                Update jest.config.js → vitest.config.ts, \
                replace jest.mock with vi.mock, \
                update imports, ensure all tests pass."
done

# 3. Each agent works independently in parallel
# 4. Review diffs as they complete (mobile notifications!)
# 5. Merge successful migrations, retry failures with a different agent

What would take a team of 5 engineers a week can be parallelized across AI agents in an afternoon — with you reviewing and steering from a single dashboard.

Key Benefits

• Agent-agnostic: Works with Claude Code, Codex, Cursor, OpenCode, Grok, GitHub Copilot, Cline, Devin, Goose, and 20+ more CLI agents
• No vendor lock-in: Use your own API keys and subscriptions — Orca doesn't proxy or markup
• True isolation: Git worktrees mean agents never step on each other
• Mobile-first: Full-featured iOS and Android apps for monitoring and steering
• SSH support: Run agents on remote beefy machines with auto-reconnect
• Diff annotation: Comment on any diff line and send feedback back to the agent
• GitHub + Linear integration: Browse PRs, issues, and project boards in-app
• Open source: MIT licensed, 43,000+ stars, 8,500+ commits, active daily development

FAQ

Is Orca free to use?

Yes, Orca is completely free and open source under the MIT license. You use your own API keys and subscriptions for whichever AI agents you run — Orca itself costs nothing.

What platforms does Orca support?

Orca is available on macOS (Apple Silicon and Intel), Windows, and Linux as a desktop app. Mobile companion apps are available on iOS (App Store and TestFlight) and Android (APK). It also runs on VPS via SSH worktrees.

Can I use Orca with my existing coding agent?

If your agent runs in a terminal, it runs in Orca. Supported agents include Claude Code, Codex, Cursor, GitHub Copilot, OpenCode, Grok, Cline, Devin, Goose, Amp, Kiro, Qwen Code, and many more. Orca is agent-agnostic.

How do parallel worktrees prevent conflicts?

Each agent gets its own Git worktree — a separate working directory with its own branch. They never share files or state. When you're ready, you compare diffs and merge the winning branch. This is the same isolation strategy used by large teams working on the same repository.

Does Orca work with monorepos?

Absolutely. Orca's worktree model is ideal for monorepos. You can fan out agents to work on different packages or services simultaneously, each in isolation. The SSH worktree feature also lets you run agents on powerful remote machines for large codebases.

What's the difference between Orca and Cursor/Windsurf?

Cursor and Windsurf are single-agent IDEs — they run one AI model at a time. Orca is an orchestrator that runs multiple agents in parallel, each in isolation. Think of Cursor as a single chef and Orca as the kitchen manager coordinating five chefs working on different dishes simultaneously.

Ready to orchestrate your AI agents? Download Orca or check out the GitHub repository to get started. For more developer tools and AI-powered coding resources, explore CoddyKit's courses — including our comprehensive guides to AI-assisted development.