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Orca

Stably AI · Open-Source Environment for Running Coding Agents in Parallel

Open Orca

Orca is a free, MIT-licensed agent development environment (ADE) from Stably AI for developers who run CLI coding agents like Claude Code, Codex, and OpenCode side by side, each in its own git worktree with a terminal, browser, and diff review. It does not supply a model — you bring your own agents and subscriptions.

PricingFree
Setupmedium
Runs onDesktop
Open sourceYes
DocsYes
CategoryCoding
Agent OrchestrationParallel AgentsGit WorktreesOpen SourceTerminalClaude CodeCodex

Best for

Developers who already use one or more CLI coding agents and want to run and review many of them in parallel without branch conflicts

Not ideal for

Beginners or no-code users, anyone looking for a coding agent with its own model, or teams that need managed cloud execution

Who it's for

Professional developers running multiple terminal coding agents at once who want isolation, review, and monitoring in one app

Capabilities

  • Runs each task in its own git worktree with a dedicated agent terminal and browser tab
  • Works with any CLI agent, with built-in integrations for Claude Code, Codex, and Cursor CLI and auto-setup for Gemini, OpenCode, GitHub Copilot CLI, Antigravity, Cline, Goose, and others
  • Diff viewer with inline annotations on AI changes that can be sent back to the agent
  • GitHub, Linear, and Jira integration for browsing issues and pull requests and committing or pushing work
  • Per-worktree Chromium browser with Design Mode for inspecting HTML and CSS
  • Remote SSH worktrees with auto-reconnect and port forwarding
  • CLI with scripting, scheduled automations, worktree checkpoints, and computer use
  • iOS and Android companion apps to monitor agents and reply when they need input

Limitations

  • Provides no model of its own — you need existing agent subscriptions or API keys (for example Claude, Codex, or OpenCode)
  • Aimed at professional developers; assumes familiarity with git worktrees and terminal agents
  • Mobile apps are in beta and act only as a remote control for a running, paired desktop
  • Collects anonymous usage telemetry by default (opt-out available; prompts and code are not sent)
  • No hosted or cloud execution is documented — agents run on your machine or on servers you connect over SSH

Use cases

  • Running Claude Code and Codex on the same issue in separate worktrees and comparing their diffs
  • Working several Linear or GitHub issues in parallel, each with its own branch and agent
  • Annotating an agent's diff and sending review comments back for another pass
  • Checking UI changes in the per-worktree browser with Design Mode before committing
  • Running agents on a remote build server over SSH while monitoring them from a phone

Orca pricing

Open source

Free

  • MIT license
  • Desktop apps for macOS, Windows, and Linux
  • iOS and Android companion apps (beta)

Note: Orca itself is free. Costs come from the coding agents and model subscriptions or API keys you run inside it.

Technical specs

Orca vs. competitors

Orca vs. google-antigravity

Antigravity 2.0 also supervises parallel agents, but runs Google's own agent harness with Gemini and select other models; Orca is open source and agent-agnostic, orchestrating third-party CLI agents you already use.

Orca vs. cursor

Cursor is an AI editor with its own agent and cloud background agents; Orca has no model of its own and focuses on running many local CLI agents in separate worktrees.

Orca vs. claude-code

Claude Code is one agent working in your repo; Orca can run several Claude Code sessions, or a mix of different agents, side by side and compare their results.

Frequently asked questions

What is Orca?

Orca is a desktop agent development environment from Stably AI for running multiple AI coding agents side by side. Each task gets its own git worktree, agent terminal, and browser tab, with tools for reviewing diffs and shipping changes.

Is Orca free and open source?

Yes. Orca is free and released under the MIT license, with the source on GitHub at stablyai/orca. You still pay for whichever coding agents or model subscriptions you run inside it.

Which coding agents work with Orca?

Orca works with any CLI agent. Claude Code, Codex, and Cursor CLI have built-in integrations, and agents such as Gemini, OpenCode, GitHub Copilot CLI, Antigravity, Aider, Goose, Cline, and Continue are supported through auto-setup.

Does Orca send my code to Stably?

According to Orca's telemetry docs, it collects only anonymous usage events and never sends prompts, responses, terminal contents, file paths, or repo names. Telemetry can be disabled in settings or with DO_NOT_TRACK=1.

Orca vs Claude Code: what is the difference?

Claude Code is a coding agent. Orca is an environment that runs coding agents, including Claude Code, in parallel isolated worktrees and adds diff review, a browser, and issue-tracker integration around them.

Integrations & fit

Claude CodeCodexCursor CLIGeminiOpenCodeGitHub Copilot CLIGitHubLinearJiraSSH
Good fit forSolo / individual, Startup / small team
Pricing modelFree· No cost to start
See pricing on Orca →

Alternatives to consider

About Orca

Orca sits one layer above individual coding agents. Instead of choosing between Claude Code, Codex, Cursor CLI, Gemini, OpenCode, or dozens of other terminal agents, you launch them inside Orca, and every task gets its own git worktree, agent terminal, and browser tab so parallel work never collides on a branch. Around that core are the tools for supervising many runs at once: WebGL terminals with unlimited splits, a Monaco editor, a diff viewer where you annotate AI changes and send the comments back to the agent, GitHub, Linear, and Jira integration for issues and pull requests, a per-worktree Chromium browser with a Design Mode for inspecting HTML and CSS, and remote SSH worktrees for running agents on other machines. A CLI adds scripting, scheduled automations, and computer use, and iOS and Android companion apps act as a remote control for the desktop. Orca is free and open source, runs on macOS, Windows, and Linux, and its telemetry excludes prompts, code, and repo names. The tradeoff is that it adds nothing to model quality: results depend on the agents and subscriptions you already pay for, and it assumes comfort with git worktrees and terminal workflows.

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