Token Time vs Orca by Stably
Detailed side-by-side comparison to help you choose the right tool
Token Time
🟢No Codedeveloper-tools
A macOS menu-bar app that meters every token your AI agents burn and shows full-screen break reminders when usage crosses thresholds you set — Screen Time, but for your AI tokens.
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$6 one-time (launch price, regularly $8)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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Token Time - Pros & Cons
Pros
- ✓One-time $6 launch price — no subscription, no seats, no upsell
- ✓Fully local: your token history never leaves the Mac (good for client-code or sensitive keys)
- ✓Menu-bar surface means the number is one glance away, no dashboard to open
- ✓Configurable full-screen nudges are effective at breaking agent-loop tunnel vision
- ✓Per-model breakdown makes 'is Opus worth it here?' a real answerable question
Cons
- ✗Mac-only, Apple Silicon required — no Intel Mac, Windows, or Linux support
- ✗Only meters what runs locally — remote/cloud agents need a separate observability stack
- ✗No team or cross-device sync (by design, but a real limitation for multi-machine builders)
- ✗Not an MCP server or client, so no direct integration with agent tool graphs
- ✗Very young app — expect some rough edges around less-common model catalogs
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.
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