Conductor AI Coding: Run 5-10 Claude Code Agents in Parallel on Your Mac

What Conductor Does

Conductor solves a specific problem: you have 5-10 tasks to do in a codebase, and you want agents working on all of them at once instead of one at a time.

The workflow has three steps:

1. Add your repo. Conductor clones it locally and sets up git worktrees.
2. Deploy agents. Each workspace gets its own Claude Code or Codex instance in an isolated branch.
3. Review and merge. See all active threads at once. View diffs, test results, and errors. Merge completed work.

How Git Worktrees Enable Parallel Agents

The key technical decision in Conductor is using git worktrees for isolation. Each agent gets a full copy of the repository in a separate directory, checked out to its own branch. Changes in one worktree cannot affect another.

Without worktrees, two agents editing the same file would create conflicts mid-task. Worktrees make this impossible. Each agent sees a clean, independent snapshot of the codebase.

# Conductor automates this git workflow:
$ git worktree add ../my-repo-feature-auth feature/auth
$ git worktree add ../my-repo-feature-search feature/search
$ git worktree add ../my-repo-fix-billing fix/billing

# Each worktree is a full repo copy on its own branch.
# Agent 1 works in ../my-repo-feature-auth
# Agent 2 works in ../my-repo-feature-search
# Agent 3 works in ../my-repo-fix-billing

# No conflicts possible. Each agent sees clean state.
# Conductor manages creation, cleanup, and branch merging.

This is the same technique that manual power users have been doing with Claude Code for months. Conductor removes the manual git worktree management and adds a GUI for monitoring all agents simultaneously.

Feature Breakdown

Supported Agents

Conductor adds no cost on top of your existing agent subscriptions. If you are on Claude Max ($100-200/month) and run 5 agents in parallel, each agent consumes from your Max allocation. The parallelism is free; the underlying model usage is not.

Conductor vs Cursor vs Claude Code Agent Teams

These tools operate at different layers of the stack. Comparing them directly is misleading, but developers ask the question, so here is where each fits.

The "Developer as Conductor" Paradigm

Addy Osmani published "Conductors to Orchestrators" on O'Reilly in February 2026, describing three stages of developer evolution with AI:

Conductor (the app) is designed for stage 2. You are the conductor, assigning work to agents and reviewing results. Claude Code's Agent Teams blur the line between stage 2 and stage 3, since agents can coordinate with each other without human intervention on sub-tasks.

The New Stack's review noted that this workflow suits senior developers and tech leads whose days involve interruptions. If you context-switch between meetings, Conductor lets agents make progress while you are away. Individual contributors who prefer deep focus may find the constant context-switching between agent outputs disruptive.

Limitations

Conductor has clear constraints. Understanding them before adopting the tool saves frustration.

Who Should Use Conductor

Making Parallel Agents Smarter with WarpGrep

The bottleneck in parallel agent workflows is not compute. It is context. Each agent in Conductor gets its own context window, but still needs to find the right files in your codebase before it can make changes. In large repositories, agents spend 40-60% of their time searching (Cognition measured this at 60% for Devin).

WarpGrep runs as an MCP server inside each Claude Code instance. Instead of the agent doing sequential file reads, WarpGrep parallelizes search across your codebase and returns ranked results. Each of your 5-10 Conductor agents gets faster context retrieval independently.

The effect compounds with parallelism. If each agent saves 3 minutes per task on search, and you are running 5 agents, that is 15 minutes saved per batch. On a day with 4-5 batches, you recover over an hour of productive agent time.

Frequently Asked Questions

What is Conductor AI coding?

Conductor is a Mac app from Melty Labs (YC-backed) that runs multiple Claude Code or Codex agents in parallel git worktrees. Each agent works in isolation on its own branch. You review diffs and merge from a single interface. It is free to download and uses your existing AI credentials.

Is Conductor free?

Yes. Conductor itself costs nothing. It uses your existing Claude Code login (API key, Claude Pro, or Claude Max) or Codex credentials. You pay for model usage through your existing subscriptions, not through Conductor.

Does Conductor work on Windows or Linux?

No. Conductor requires macOS with Apple Silicon (M1 or later). Windows has a waitlist. Linux is not supported. For cross-platform parallel agent workflows, Claude Code's built-in Agent Teams work on any OS, or you can manage git worktrees manually.

How is Conductor different from Cursor?

Different tools for different jobs. Cursor is an AI-powered IDE that provides inline assistance, autocomplete, and single-agent coding within an editor. Conductor is an orchestration layer that runs multiple Claude Code or Codex agents in parallel. You could use both: Cursor for hands-on editing, Conductor for batch processing independent tasks.

What is the "developer as conductor" paradigm?

Addy Osmani described this in "Conductors to Orchestrators" (O'Reilly, Feb 2026). The idea: developers are moving from writing code directly to managing fleets of AI agents. As a conductor, you assign tasks and review output. The next stage, orchestrator, involves agents planning and coordinating autonomously while you approve and resolve conflicts.