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Parallel Code

Run Claude Code, Codex, and Gemini agents in parallel with isolated branches

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Open-source desktop app for orchestrating multiple AI coding agents simultaneously. Auto-creates git worktrees per agent and symlinks shared dependencies to prevent conflicts between parallel tasks. Designed for teams and power users who want to run several AI agents on different features or bugs at the same time, maximizing throughput while keeping each agent's changes cleanly isolated.

Parallel Code is an open-source desktop application that enables developers to run multiple AI coding agents side by side, each in its own isolated git worktree, preventing merge conflicts and enabling true parallel development across different tasks. It solves the critical problem of AI coding agents being fundamentally single-threaded by automatically creating isolated git branches and worktrees for each agent, allowing developers to work on multiple features, bug fixes, or refactoring tasks simultaneously. Parallel Code supports Claude Code, Codex CLI, and Gemini CLI from a single unified interface.

Parallel Code automatically manages git worktree creation and cleanup, ensuring each AI agent operates in its own isolated branch without interfering with other agents or the main development branch. Developers can monitor multiple agent sessions simultaneously, review changes from each agent independently, and merge completed work back into the main branch when ready. The tool handles the complex git orchestration that would otherwise require manual worktree management, branch switching, and conflict resolution, dramatically simplifying the workflow of running multiple AI agents in parallel.

Parallel Code is designed for developers who want to maximize their productivity by running multiple AI coding agents concurrently rather than sequentially waiting for each task to complete. It is particularly valuable for teams working on large projects where multiple independent tasks can be delegated to different AI agents simultaneously, such as implementing features, fixing bugs, and writing tests in parallel. Compared to running AI agents in separate terminal tabs with manual branch management, Parallel Code provides a structured, visual approach to parallel AI development that prevents the conflicts and confusion that arise from multiple agents modifying the same codebase.

Pricing

Free and open-source (MIT license)

Platforms

macOS, Linux

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