Orca by Stably vs Code Airlock
Detailed side-by-side comparison to help you choose the right tool
Orca by Stably
🔴Developerdeveloper-tools
Free, open-source Agent Development Environment (ADE) that runs multiple CLI coding agents like Claude Code, Codex, and Cursor side-by-side, each in its own isolated git worktree, tracked in one desktop app.
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FreeCode Airlock
🔴Developerdeveloper-tools
A thin CLI wrapper around Docker Sandboxes that runs Claude Code, Codex, or OpenCode in a disposable microVM against a clone of your repo, then brings the work back as ordinary git commits for review.
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$0 (self-hosted)Feature Comparison
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Orca by Stably - Pros & Cons
Pros
- ✓Run any CLI coding agent (Claude Code, Codex, Cursor, Copilot, and more) side-by-side. This directly supports the primary workflow.
- ✓Isolated git worktrees per agent with fan-out prompts and merge-the-winner workflow.
- ✓WebGL terminal splits, VS Code-style editor, and embedded Chromium browser with Design Mode.
- ✓Native GitHub and Linear task workflows plus AI-diff annotation.
Cons
- ✗Plan prices can omit usage overages, model-provider charges, implementation work, taxes, or required seats.
- ✗Features and limits can change by plan, billing interval, region, and release; verify current documentation.
- ✗No native MCP support is documented in this record, so agent workflows may require API work or another integration layer.
- ✗A representative pilot is necessary because a feature list does not establish reliability or operational fit.
Code Airlock - Pros & Cons
Pros
- ✓Real security boundary at the microVM level — not just agent-side prompts
- ✓Host repo stays read-only; every change comes back as a reviewable git commit
- ✓Multi-agent: swap between Claude Code, Codex, OpenCode with one flag
- ✓Sandbox never needs GitHub creds — PRs push from the host
- ✓MIT licensed with npm/Homebrew/curl installs and preflight `doctor` diagnostics
Cons
- ✗Requires Docker Sandboxes and KVM/virtualization on the host
- ✗No MCP integration — wraps agents but doesn't extend their tool surface
- ✗Extra latency vs. running the agent directly on the host
- ✗Small project (thin wrapper) — you're also depending on the underlying sbx CLI
- ✗Adds cognitive load: another layer between you and the agent
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