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?
Is Conductor open source?
Which AI agents does each tool support?
Is Parallel Code free like Conductor?
When should I pick Conductor over 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.