Conductor is a high-precision Mac application designed for managing multiple AI coding agents in parallel. Developed by Melty Labs, this tool allows developers to run agents such as Claude Code, Codex, and Cursor within isolated, dedicated workspaces. By providing an interface that separates branches, files, terminals, and previews, Conductor solves the common problem of state and directory conflicts that occur when managing multiple AI-driven tasks simultaneously. It enables engineers to maintain high velocity by orchestrating complex parallel workflows, ensuring that each task remains organized and reviewable before final integration into the main codebase.

Some of the key features are:

• Isolated Workspaces: Every agent operates within its own Git worktree, ensuring a unique branch, environment, and file context that prevents cross-task interference.
• Parallel Execution: Run multiple independent coding agents simultaneously, allowing for higher productivity across different tasks and branches.
• Unified Diff Viewer: A specialized interface for reviewing changes, filtering by commit, and providing granular feedback directly to the AI agents.
• Integrated Terminal: Each workspace includes its own interactive terminal, enabling developers to run scripts, watch builds, and monitor processes without manual repair.
• Browser Preview: Built-in support for rendering localhost web servers, allowing users to view and interact with changes directly inside the Conductor app.
• Automated Workflow: Streamlined path from task dispatch to review, pull request creation, and final merging.
• Configurable Settings: Support for file-backed configurations using TOML, allowing per-repository settings and environment management.
• Enterprise Privacy: Options to disable external data collection and maintain strict privacy standards for organizational usage.

Conductor functions by creating Git worktrees for every task. When a user defines a new project or task, the app initializes an isolated workspace that clones the necessary files. Users can dispatch prompts or specific coding tasks to agents through the app interface. As agents perform their work, users can monitor progress in real-time, inspect diffs, and use the built-in previewer to verify outcomes. Feedback is provided via a chat composer, and once the task is completed, Conductor facilitates the creation of pull requests and automerge workflows to bring the work back into the primary repository.

Some common use cases include:

• Refactoring Multiple Components: Tasking different agents to refactor separate parts of a codebase simultaneously without creating git branch conflicts.
• Parallel Feature Development: Assigning distinct feature implementation tasks to individual agents while maintaining clean, separate worktrees for each.
• Simultaneous Bug Investigation: Running multiple agents to explore potential fixes for different bugs in isolation to determine the most effective approach.
• Integration Testing: Using parallel workspaces to run tests on different branches concurrently to verify compatibility before merging into production.