Orc: Orca Enables Parallel Agent Orchestration Across Worktrees for Developer Teams 🔗
Combines multiple AI coding agents in isolated git worktrees with mobile monitoring and remote execution capabilities
Orca lets developers run several AI coding agents—like Codex, Claude Code, or OpenCode—side by side, each in its own git worktree, so teams can fan out a single prompt, compare results, and merge the best output. Built in TypeScript, it provides a unified interface with Ghostty-class terminals featuring WebGL rendering, infinite splits, and persistent scrollback.
Users can interact with live Chromium windows to inject HTML, CSS, and screenshots into agent prompts, review PRs and issues in-app, and drop comments on diffs that get shipped back to agents. The Orca Monitor mobile app (iOS/Android) delivers real-time notifications when agents finish or need input, enabling follow-ups from anywhere. Remote agent execution is supported via VPS with auto-reconnect, port forwarding, and full file/terminal access. Agents can also drive Orca through CLI commands like orca worktree create and snapshot, enabling workflow automation. Despite rapid daily updates, the project carries 4,894 open issues, indicating ongoing stability and scalability challenges under heavy parallel agent loads.
The catch: High agent concurrency increases token usage and infrastructure costs, and the mobile app’s functionality remains dependent on stable desktop/VPS backends, limiting true standalone mobility.
Why this leads today Orca enables developers to run any coding agent with their own subscription across desktop, mobile, and VPS, unifying AI agent orchestration to scale individual productivity to fleet-level automation.
- Compare agent outputs on complex refactoring tasks
- Monitor and steer coding agents from mobile devices
- Automate agent-driven workflows via CLI scripting
Source: stablyai/orca — based on the README and release notes.