By , Parallel Code’s creator · Updated

Parallel Code vs Conductor

TL;DR — Both offer free local desktop workflows for running AI coding agents in parallel in git worktrees. Pick Parallel Code if you want Linux support, open source (MIT), Gemini CLI, or Copilot CLI. Pick Conductor if you prefer its macOS-focused workflow or want built-in Cursor and OpenCode harnesses.

Disclosure: I build Parallel Code. This comparison is based on public product documentation; the sources and verification date appear below.

Feature Parallel Code Conductor
Platforms macOS and Linux macOS only
Price Free Free local plan; paid cloud and team plans
Open source Yes — MIT licensed No — proprietary
Supported agents Claude Code, Codex, Gemini CLI, Copilot CLI, Antigravity CLI Claude Code, Codex, Cursor agent, OpenCode
Git worktree isolation Yes — automatic per task Yes — automatic per task
Use your own editor Yes — VS Code, Cursor, JetBrains, Sublime Yes
Run several agents on one task Yes — Arena mode (head-to-head) Multiple chats share one branch; separate workspaces for isolated attempts
Mobile progress monitoring Yes — scan a QR code Yes — mobile app on paid plans
Runs locally with your own keys Yes Yes

If you’ve outgrown running one AI coding agent at a time, you’ve probably found both of these tools. Parallel Code and Conductor solve the same core problem: dispatch several coding agents at once, give each its own isolated copy of the repo via a git worktree, then review the diffs and merge the good ones. The difference is in where they run, what they cost you in lock-in, and which agents they drive.

Platforms, agent presets, pricing, and mobile availability were checked against official docs on October 11, 2026. This is a documentation check, not a hands-on benchmark.

What they have in common

Both offer free local desktop workflows using your existing provider accounts or API keys. Conductor also offers paid cloud and team plans. Both create a dedicated git worktree per task so agents do not overwrite the same working copy, and both give you a diff-first review surface to approve or discard each agent’s work. Integration conflicts can still occur when branches touch the same code. If your whole goal is “run three or four agents in parallel on a Mac and review the results,” either tool will do that well.

Where Parallel Code differs

It runs on Linux, not just macOS. Conductor is Mac-only. Parallel Code ships native Linux builds (.AppImage and .deb) alongside its macOS build, so if any part of your work happens on Linux — a workstation, a remote dev box — it’s a first-class target, not an afterthought.

It’s open source. Parallel Code is MIT licensed. You can read exactly how it manages worktrees and spawns agents, fork it, self-build, or send a PR. Conductor is a free download but its source isn’t public.

It drives Gemini CLI and Copilot CLI too. Both tools support Claude Code and Codex. Parallel Code adds Gemini CLI, Copilot CLI, and Antigravity CLI; Conductor instead bundles OpenCode and supports Cursor Agent through its API. Parallel Code also accepts custom CLI commands, so compare built-in integrations as well as your agent lineup.

You can watch progress from your phone. Scan a QR code and monitor long-running agents from your phone — over Wi-Fi or Tailscale — while you step away from the desk. Conductor lists a mobile app on its paid plans; Parallel Code includes phone access for free.

Parallel Code’s Arena mode races separate attempts on one task. Conductor also allows multiple chats in a workspace, but those chats share the same branch and code state; use separate workspaces when you need isolated attempts.

Where Conductor is strong

Conductor focuses on macOS, with automatic git-worktree management and a review-and-merge flow. It supports Cursor Agent through the Cursor API, alongside bundled Claude Code, Codex, and OpenCode harnesses. If those are your preferred agents, compare its workspace and review flow with Parallel Code’s live sessions and diff review.

When to use each

Choose Conductor if you work exclusively on a Mac and prefer its workspace and review flow, or want its built-in Cursor and OpenCode harnesses.

Choose Parallel Code if you work on Linux (even sometimes), prefer open source you can inspect and modify, or want Gemini CLI, Copilot CLI, or Antigravity CLI in the mix.

Both offer free local use, so the lowest-risk move is to try whichever matches your platform and agent lineup — and for most people that single fact decides it.

Frequently asked questions

Is Parallel Code a good Conductor alternative for Linux?
Yes. Conductor runs on macOS only, while Parallel Code ships native builds for both macOS and Linux (.AppImage and .deb). On Linux you get the same parallel-agent, git-worktree workflow Conductor offers on the Mac.
Is Conductor open source?
No. Conductor is a proprietary (closed-source) macOS app with a free local plan. Parallel Code is open source under the MIT license, so you can read the code, build it yourself, and contribute.
Which AI agents does each tool support?
Conductor supports Claude Code, Codex, Cursor, and OpenCode. Parallel Code supports Claude Code, Codex, Gemini CLI, Copilot CLI, and Antigravity CLI. Both use your existing provider accounts or API keys; Parallel Code also allows custom CLI commands.
Is Parallel Code free like Conductor?
Both offer free local use, with agent subscriptions or API usage billed separately. Conductor also sells cloud, mobile, and team plans. Parallel Code adds no platform fee and is MIT licensed.
When should I pick Conductor over Parallel Code?
If you work exclusively on a Mac and prefer Conductor's workspace and review flow, or want its built-in Cursor and OpenCode harnesses, it may fit your workflow. If you need Linux support, prefer open source, or want Gemini CLI or Copilot CLI, consider Parallel Code.

Sources reviewed

Details about Conductor reflect its public information as of . Tools in this space move fast — verify current platforms, pricing, and features before deciding.

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Free & open source · macOS & Linux · MIT licensed