Fetching from the wire…
Public story · 2026-07-27 · high
Each agent works in its own git worktree, so testing all five doesn't turn into untangling five sets of conflicting code.
Why now: Orca gained 7,546 GitHub stars in the week through July 27, 2026, pushing it to 30,894 total.
Orca runs one coding prompt through five AI agents at once, each in its own git worktree, then merges whichever wins, per its GitHub repository.
That's the fix for testing the same prompt against Claude Code, Codex, and other agents separately: five attempts don't turn into five conflicting diffs to reconcile by hand.
Worktrees keep the five attempts isolated from each other and from the main branch. Picking a winner doesn't mean touching the four losers' code at all.
The project, built as an "Application Development Environment," isn't locked to one agent. It works with Claude Code, Codex, OpenCode, Cursor, Copilot, Grok, and more than 30 other terminal CLI agents, per the repo.
It runs on macOS, Windows, and Linux, ships an iOS app through the App Store and TestFlight, an Android APK, and a headless build for a Linux VPS.
It's MIT licensed, sitting at 7,432 commits, 2.2k forks, and 30,894 stars total, per GitHub.
The multi-agent fan-out is the demo. Worktree isolation is the part rivals will copy: it's the only structure here that lets "run five, keep the best" skip the merge headache entirely. Expect competing "run N agents" tools to bolt on the same isolation, or keep losing to Orca on this axis.
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