A desktop app that runs multiple AI coding agents in parallel, each in its own git worktree and branch.
Parallel Code is a desktop application that allows developers to run multiple AI coding agents (like Claude Code, Codex, and Gemini) simultaneously, each in its own isolated git worktree and branch. It solves the problem of sequential AI coding workflows by enabling parallel execution of agents on different tasks, turning wait time into productive progress.
Developers who use AI coding assistants and want to run multiple agents in parallel without git conflicts, particularly those working on multiple features or tasks simultaneously.
Developers choose Parallel Code because it provides automatic git isolation for each AI agent, enables true parallel execution without manual worktree management, and offers a unified keyboard-first interface for monitoring and controlling multiple agents simultaneously.
Run Claude Code, Codex, and Gemini side by side — each in its own git worktree
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Creates a new git branch and worktree for each task automatically, ensuring changes are isolated and reviewable without manual setup, as described in the 'How it works' section.
Enables multiple AI agents to work on different features simultaneously, turning wait time into progress, which is the core value proposition highlighted in the README.
Every action has a keyboard shortcut (e.g., Ctrl+N for new task), making the app efficient for power users who prefer minimal mouse interaction, as detailed in the shortcuts table.
Includes a QR code feature to monitor agent progress from a mobile device over Wi-Fi or Tailscale, adding flexibility for on-the-go oversight.
Only available for macOS and Linux, with no Windows version mentioned, excluding a large segment of developers as shown in the platform badges.
Requires installation of supported AI CLI tools like Claude Code, Codex, or Gemini; it doesn't support other popular assistants like GitHub Copilot out of the box.
Built with Electron, which can lead to higher memory usage and slower performance compared to native applications, a common trade-off for cross-platform desktop apps.