Orca Installation Guide: Parallel AI Coding

Orca’s official installation page currently lists four desktop delivery paths: macOS Apple Silicon, macOS Intel, Windows, and Linux AppImage or .deb packages. (official Orca installation documentation)

That leads to the practical conclusion: if Git, the target CLI Agent, and its account login are already ready, you can start Orca within a few minutes; begin with only two isolated tasks, verify worktrees and tests, and increase concurrency only after the merge process is under control.

This guide is for:

• Developers installing Orca for the first time on Windows, macOS, or Linux.
• Developers moving a local Orca setup to a remote Mac or Linux host.
• Operations staff validating whether an AI coding environment is safe to deliver to a team.

Last updated August 14, 2026. Installation paths and platform notes were rechecked against the official Orca installation documentation, the official Orca repository, and the Claude Code worktree documentation.

Start with the ten-minute environment check

The “five minutes” claim applies only after downloads, account registration, CLI installation, and repository preparation are complete. A large repository can also need extra time for dependency installation, indexing, or test setup.

Before opening Orca, confirm the following:

• [ ] The operating system architecture is known: Apple Silicon or Intel on macOS, the correct Windows installer path, or the Linux package format supported by the selected distribution.
• [ ] Git is installed and available from the terminal.
• [ ] The target CLI Agent is installed independently of Orca.
• [ ] The Agent can start and complete its own login flow in a normal terminal.
• [ ] A test repository is available and can be reset or deleted without affecting production work.
• [ ] The repository has a clean working tree before Orca creates parallel branches.
• [ ] There is enough free disk space for more than one checkout and more than one dependency directory.
• [ ] Credentials, environment files, and private repositories have an approved handling process.

Git is not a cosmetic dependency here. A Git worktree is a separate working directory and branch that shares repository history with the main checkout. That isolation is what prevents two coding sessions from writing into the same files at the same time. The Claude Code worktree documentation explains the same model from the Agent side, while the official Git worktree reference documents the underlying commands and lifecycle.

The main hidden costs are also easy to miss:

1. Disk duplication: each worktree may need its own build output, package cache, virtual environment, or generated files.
2. Environment drift: an Agent can install dependencies inside one worktree without changing another.
3. Permission spread: a saved terminal approval or repository-level configuration can affect more than one worktree, depending on the Agent and its version.
4. Credential exposure: terminal logs, screenshots, crash reports, and copied environment files can reveal API keys or account tokens.
5. Merge overhead: parallel output is not automatically a better result. Each branch still needs tests, diff review, and an explicit approval decision.

Install Orca through the official path

The safest rule is simple: use the current installer or package link published by Orca, rather than copying a command from an old forum post. The official documentation provides separate downloads for Apple Silicon, Intel Mac, Windows, Linux AppImage, and Linux .deb packages.

Windows

Download the Windows installer from the official Orca installation page or its linked release asset. Before launching it:

• Confirm the file came from the official release path.
• Check the publisher and Windows signature information shown by the file properties.
• Avoid renaming or repackaging the installer before verification.
• If Windows Defender blocks the file, do not bypass the warning blindly; re-download from the current official release page and compare the publisher information.

The official repository describes Windows build and signing support, but security prompts can still vary by release channel and local Windows policy. After installation, open Orca from the Start menu.

If the terminal behaves unexpectedly later, check Settings → Terminal and select PowerShell or CMD. PowerShell is the usual choice for most Windows users, but a project may depend on a specific shell profile or command path.

Orca finishes installing on Windows but will not start. What should be checked?

First, start Orca directly from the Start menu rather than from an old shortcut. Then verify that the installer was downloaded from the current official release path, inspect Windows Security protection history, and check whether the account has permission to run desktop applications.

If the application opens but the embedded terminal fails, switch the configured shell between PowerShell and CMD, restart Orca, and test the Agent outside Orca.

Do not begin by deleting repository data. An application startup problem and a Git worktree problem are separate failures.

macOS

macOS users should first identify the processor architecture:

uname -m

arm64 indicates Apple Silicon. x86_64 indicates Intel. Use the matching Orca download rather than assuming that Rosetta will make every dependency behave correctly.

The official documentation provides Apple Silicon and Intel downloads, and also publishes a Homebrew cask for stable releases:

brew install --cask stablyai/orca/orca

To update the Homebrew installation:

brew upgrade --cask orca

These commands come from the current Orca installation documentation. The cask follows the stable channel; release-candidate builds should be obtained through the documented release or in-app update path instead.

On first launch, macOS may ask for access to the home directory. Orca uses that access to add repositories and can offer to import existing ~/.claude, ~/.codex, and terminal settings when those files are present.

How do you install Orca on macOS without mixing Apple Silicon and Intel builds?

Run uname -m, select the matching official download, and keep the first test repository in a normal local folder rather than a cloud-synchronized directory.

If macOS displays a security prompt, verify the application source and signature status before allowing it. A screenshot from an older installation guide is not a substitute for the current release instructions.

Reminder: macOS security prompts can change with the signing status, installer format, and release channel. Treat the current official download page as the source of truth.

Linux

Linux users can choose the official AppImage or .deb route listed by Orca. The correct choice depends on the distribution’s package management policy.

Use the AppImage when:

• The host does not use Debian package management.
• A self-contained desktop application is easier to maintain.
• The user can control executable permissions and desktop integration.

Use the .deb package when:

• The host is Debian- or Ubuntu-based.
• The team wants package installation and removal to follow local system policy.
• Desktop launchers and system package records matter.

After downloading, verify the release asset and checksum or signature information when the official release provides it. Do not install an unverified package copied from a third-party mirror.

On headless Linux, a desktop installer may not be the best first choice. The official Orca repository describes availability on VPS environments and documents remote-machine workflows. The important distinction is whether the host has a usable desktop session, remote display path, or supported SSH workflow.

Connect the CLI Agent before importing a repository

Orca does not replace the subscription, API key, or account permissions of the coding Agent. Those remain managed by the corresponding Agent.

For Claude Code, install the CLI independently:

npm i -g @anthropic-ai/claude-code

The package is published through npm, whose official package documentation explains the global installation command. Then start Claude Code once in a normal terminal and complete its login flow. Orca can read the local ~/.claude state automatically, so an extra credential copy is not normally required. The Orca Claude Code integration guide describes this connection path.

The validation sequence should be:

• [ ] Run the Agent outside Orca.
• [ ] Confirm the account is logged in.
• [ ] Open Orca and check whether the Agent appears in the Agent selector.
• [ ] Import the test repository.
• [ ] Open a terminal inside the repository and launch one short read-only task.
• [ ] Confirm that the task is using the intended working directory.

How does Orca connect to Claude Code?

Install and log in to Claude Code independently, then let Orca detect the existing local configuration. In the repository worktree, select Claude Code from Orca’s Agent control. Orca launches it with that worktree as the working directory and displays session state in its interface.

Never place a token in a screenshot, issue report, copied terminal transcript, or public task description. If a login prompt appears again, resolve the Agent’s authentication state instead of pasting credentials into Orca task text.

Run the first Parallel AI Coding hour with two tasks

The first run should prove the workflow, not maximize the number of Agents. Choose a repository that can be reset and define two tasks with different ownership.

A suitable pair might be:

• Agent A: add a small API endpoint and its unit tests.
• Agent B: improve a self-contained command-line validation rule and its tests.

Avoid two tasks that edit the same central configuration file, lockfile, database migration, or shared interface. Parallel execution does not remove dependency order.

Create the test branch and check its state:

git status
git switch -c orca-trial
git worktree list

Orca can create isolated worktrees through its interface. Claude Code also supports named worktrees directly:

claude --worktree feature-auth

A named worktree is normally created under .claude/worktrees/<name>/, with a corresponding branch. Keep those generated paths out of the main repository’s untracked file list when required by the project’s Git policy.

How do you create parallel Git worktrees in Orca?

Import the repository, choose the parallel or worktree-based task action, assign a clear name to each task, and confirm that each task opens in a different path or branch. If the interface does not show the path clearly, verify from a terminal with:

git worktree list

The first acceptance pass should record:

• The worktree path and branch for each Agent.
• Files changed by each task.
• Test commands used.
• Test output and exit status.
• Whether the Agent session remains resumable after an interrupted process.
• Whether the main checkout remains unchanged.

A fresh worktree does not automatically contain every ignored file from the main checkout. Environment files, local credentials, generated assets, and dependency directories need an explicit strategy.

Selected ignored files can be shared through worktree-specific configuration, but copying secrets into every worktree should be treated as a security decision, not a convenience setting.

Experience rule: the first two tasks should be small enough that a human can inspect both diffs in one sitting. If the reviewer cannot explain why one result is safer to merge, concurrency is already too high.

Merge only after independent verification

When both tasks finish, do not merge the first successful-looking result automatically.

Use this order:

1. Open both diffs against the same base branch.
2. Check whether either task changed files outside its declared scope.
3. Run the project’s formatter, linter, unit tests, and relevant integration tests.
4. Compare dependency changes, generated files, and lockfile edits.
5. Select one result or merge both only when their changes are independent.
6. Record the approval decision before touching the main branch.
7. Remove rejected worktrees only after confirming that no useful uncommitted work remains.

For manual cleanup, Git provides commands such as:

git worktree list
git worktree remove ../project-feature-a

If a worktree contains uncommitted changes, Git may refuse removal until the changes are reviewed or the removal is explicitly forced.

The main branch should remain protected from direct Agent writes. Use a branch, pull request, or an equivalent human approval gate. This is especially important when a task can modify deployment files, authentication logic, billing code, database migrations, or CI configuration.

Move from a laptop to a persistent host

After the first local run succeeds, decide whether the workload belongs on the current computer.

Keep Orca local when:

• Tasks are short and interactive.
• The repository is private and local access is preferred.
• The computer stays awake during the task.
• A single developer owns the approval process.

Consider a remote Mac when:

• macOS-specific build tools or signing workflows are required.
• The local computer sleeps, travels, or changes networks often.
• The Agent needs a stable desktop environment for longer sessions.
• Remote access and credential isolation can be administered properly.

Consider a headless Linux host when:

• The workflow is terminal-first.
• The repository does not require macOS-only tooling.
• The team already operates SSH, backups, monitoring, and disk cleanup.
• The host has an explicit policy for secrets and repository access.

The official Orca repository includes remote-machine workflows and describes use across desktop and VPS environments. That does not mean every remote host is automatically production-ready.

Validate sleep prevention, SSH access, disk growth, restart behavior, backup coverage, and credential separation before handing the setup to a team.

A delivery checklist should include:

• [ ] The host does not enter automatic sleep during active tasks.
• [ ] SSH or remote desktop access uses approved accounts and keys.
• [ ] Orca and the Agent restart cleanly after a reboot.
• [ ] Worktree directories have a documented cleanup policy.
• [ ] Repository credentials are isolated from screenshots and shared logs.
• [ ] Backups cover source branches and task metadata where required.
• [ ] A reviewer can accept or reject a result without logging into the operator’s personal account.
• [ ] A test task completes successfully after remote reconnection.

Can Orca be installed on a remote server?

Yes, when the server provides a supported desktop session or a documented remote terminal workflow. A VPS or headless Linux host still needs a reliable access method, compatible shell environment, persistent storage, and a restart plan. If the workflow depends on macOS-only build tools, a remote Mac is the more suitable target.

Troubleshoot by failure category

The application cannot launch

Check the installer source, signature or publisher information, operating system architecture, and local application permissions.

On macOS, verify that the selected build matches arm64 or x86_64. On Windows, test the application from the Start menu and review Windows Security history. On Linux, confirm that the AppImage or .deb package matches the distribution path.

The Agent is not detected

Run the Agent independently first. Confirm the executable is available in the same environment Orca uses, complete login outside Orca, and then restart Orca.

For Claude Code, check whether the expected local ~/.claude configuration exists and whether the account session is still valid.

Git worktree creation fails

Run:

git status
git worktree list
git branch --show-current

Then check for an existing worktree using the same branch, uncommitted changes, a symlinked path, or a repository opened from an unexpected directory.

A worktree may also fail when its path resolves back to the protected checkout or when the repository metadata is not where the command expects it to be.

The terminal behaves differently across systems

On Windows, check the selected PowerShell or CMD profile. On macOS and Linux, compare the PATH visible inside Orca with the PATH in the normal terminal.

Do not assume that a command working in one shell is available in another shell. Check the executable path directly and run the Agent outside Orca before investigating the Orca integration.

Remote access fails

Separate application access from network access. First confirm that the host is reachable by SSH. Then verify the user account, repository permissions, display or terminal requirements, and whether the Orca process is still running after disconnection.

A reconnect test is part of acceptance, not an optional convenience.

Decide whether the current setup is enough

A local laptop is often the fastest place to learn Orca, but it has three recurring weaknesses: it may sleep during long tasks, it may not have enough isolated disk space for several worktrees, and it ties the development environment to one user’s machine and credentials.

A self-managed Linux host avoids some desktop limitations but adds SSH, patching, backup, monitoring, and secret-management work. A remote Mac can provide a more stable macOS build environment, but only if remote access and account isolation are designed before the first team handoff.

For developers who need temporary capacity, a shared test environment, or a Mac that can remain available while the local computer is offline, Zutcloud Mac rental is worth evaluating after the two-task acceptance run.

The right decision is not to rent every workload. Long-term heavy use, physical peripherals, or strict on-premise data requirements may still favor owned hardware.

For short-lived Parallel AI Coding experiments, remote Mac validation, and repeatable delivery checks, a managed environment can remove the sleep, maintenance, and single-device constraints that appear after the first successful installation. Review the Mac rental options, then use the Zutcloud Help Center to confirm remote access and credential-handling details before choosing a rental period.