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Treq vs Orca

Both isolate agents in worktrees. Orca expands the full environment. Treq deepens review and stack hygiene.

Treq and Orca are open-source ADEs. Each gives coding agents isolated workspaces and a place to watch the work. Their workflow models differ when tasks depend on one another.

Orca presents a broad environment with support for any CLI agent, built-in editing, browser and design surfaces, mobile access, and enterprise packaging. Treq is a Stacking ADE. It connects dependent agent workspaces, reviews each layer, and rebases the stack as lower layers change.

At a Glance

TreqOrca
PositioningStacking ADE, open-source Graphite alternativeAgent development environment, worktree IDE for coding agents
Isolation modelJujutsu workspaces over a colocated Git repoWorktree per task, with terminal and browser tab
Review surfacePR-style diffs, comments sent back to the agentDiff and Git tracking inside a broader ADE
Stacked changesCore workflowNot emphasized publicly
Auto-rebaseCore workflowNot emphasized publicly
Provider supportClaude, Codex, and Cursor shown todayAny CLI agent
Extra surfacesDesktop review and terminalsFile editor, browser or design mode, mobile companion
Remote workNot public on the site todaySSH worktrees and enterprise packaging
LicenseApache 2.0MIT
PricingFree and open sourceFree and open source, enterprise contact motion

What Each Product Does

Treq manages parallel agent workspaces and keeps merge quality under human control. You review changes, leave comments, and send that feedback back to the agent. Dependent workspaces form stacks. When lower layers move, Treq rebases dependents and shows conflicts.

Orca aims to be the place where agent work happens. Public materials stress per-task worktrees, terminals, browser tabs, a built-in file editor, and Git tracking. They also cover mobile support, automation copy, and paid team plans. The product story is a full environment for developers who already run many agents.

Both products accept that parallel agents need isolation. Both are open source. Both face pressure from vendor-owned agent apps that absorb these features over time.

Feature Comparison

FeatureTreqOrca
Local-first desktop appYesYes
Parallel agent sessionsYesYes
Worktree or workspace isolationYesYes
Review and diff UIStrong emphasisYes
Comments sent back to the agentYesBroader ADE review, less public emphasis on stacked review loops
Stacked PR or stacked workspace supportYesNot emphasized publicly
Auto-rebase and conflict handlingYesNot emphasized publicly
Built-in file editorNot the product centerYes
Browser or design modeNot public on the site todayYes
Mobile companionNoYes
SSH worktreesNot public on the site todayYes
Enterprise packagingNot public on the site todayYes
Open sourceApache 2.0MIT

Where They Differ

Orca's public momentum comes from breadth and speed. High GitHub traction, frequent releases, and a wide feature set make it look like a full environment for agent work. That is useful when you want one product for editing, browsing, mobile access, and remote worktrees.

Treq uses the stack as its primary workflow. Each workspace represents one reviewable layer and records which lower workspace it targets. Automatic rebasing keeps the dependency chain current while agents continue working.

That creates a clear trade-off. Choose Orca when you want a full environment more than a specific merge workflow. Choose Treq when weak reviews, drifting stacks, and conflict-heavy AI branches are the costly failures.

Brand search is noisy for both. "Orca" collides with many unrelated products. "Treq" collides with an older Python package and other entities. Specific workflow pages matter more than bare brand queries.

Pricing and Licensing

Both desktop products are free and open source. Treq uses Apache 2.0. Orca uses MIT.

Orca also publishes enterprise packaging with a contact motion. Treq does not publish a paid plan today.

Model and agent fees remain separate.

Who Should Choose Which

Choose Treq if you:

  • Want stacked workspaces and automatic rebasing as core behavior.
  • Care most about PR-style review that returns comments to the agent.
  • Need an ADE where dependent agent tasks form a managed stack.
  • Want safe shipping of AI-generated code as the main goal.

Choose Orca if you:

  • Want a broad ADE with editor, browser, automation, and mobile surfaces.
  • Need SSH worktrees or enterprise packaging today.
  • Prefer any-CLI-agent flexibility as the primary buying criterion.
  • Care more about environment completeness than stacked PR specialization.

Next Steps