// Agent profile
Orca by Stably AI (YC W22) is an open-source Agent Development Environment (ADE) for running parallel fleets of coding agents. With 67K+ GitHub stars, it lets you spin up Claude Code, Codex, OpenCode, Grok, Cursor, Pi, and any of 40+ CLI agents side-by-side, each in its own isolated Git worktree. Orca combines parallel agent orchestration, Ghostty-class WebGL terminal rendering, an integrated VS Code-based editor with Design Mode for visual UI inspection, GitHub and Linear task workflows, SSH remote worktrees with auto-reconnect, annotated AI diff review, and a mobile companion app (iOS and Android) for monitoring and steering agents from anywhere. Available on macOS, Windows, Linux, and VPS.
Orca is an open-source Agent Development Environment built by Stably AI (YC W22) that reframes how developers work with AI coding agents. Rather than running a single agent at a time, Orca provides a fleet command center where you spin up Claude Code, Codex, OpenCode, Grok, Cursor, Pi, or any of 40+ supported CLI agents side-by-side, each operating in its own isolated Git worktree. The result is true parallel development: multiple agents tackling different tasks simultaneously without stepping on each other’s code. With 67K+ GitHub stars, it has become the leading ADE in the ecosystem.
Orca’s core strength is its worktree isolation model. Every agent session gets its own Git worktree, so agents can make independent changes to the same repository without conflicts. The integrated interface combines WebGL-rendered terminals, a code editor with Design Mode for visual UI inspection, GitHub and Linear task management, and browser previews into a single desktop application. SSH worktrees enable remote agent execution on cloud machines, and the Computer Use capability lets agents interact with visual interfaces. A mobile companion app on iOS and Android provides fleet monitoring and management on the go.
Development teams use Orca to parallelize feature work, bug fixes, and refactoring across multiple agents. A common workflow is breaking a large task into subtasks, assigning each to a separate agent worktree, and reviewing all the resulting branches from one interface. SSH worktrees let teams offload heavy agent work to cloud machines while managing everything locally. It is also valuable for comparing agent performance on the same task by running different agents against identical codebases simultaneously.
Orca is free and open-source but requires your own API keys or subscriptions for the underlying coding agents. Running multiple agents in parallel can consume significant API credits. The tool is an orchestration layer, not a replacement for the agents themselves.
Orca is built for developers and teams who already use AI coding agents and want to scale their workflow from one agent at a time to a managed fleet. It appeals to power users who want parallel execution, clean worktree isolation, and centralized management of multiple agent sessions.
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