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johannesjo parallel-code

Run Claude Code, Codex, and Gemini side by side — each in its own git worktree

Stars

1

Active Stable

Forks

131

Watchers: 1,000

Repository Radar Score

39 / 100

Growth

7d
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30d
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Not enough metric snapshots yet to chart growth for this repository.

Last observed: 3 days ago

Score breakdown

  • popularity 16
  • growth 0
  • activity 75
  • freshness 100
  • community 90

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Parallel Code

Ten agents.
Ten branches.
One afternoon.

Dispatch AI coding agents in parallel, each in its own worktree.
Review the diffs, merge the wins, toss the rest.

Works with Claude Code, Codex, and Gemini · Every change isolated in its own git worktree · Free, open source, no extra platform fee

Watch intro on YouTube

Parallel Code demo

Screenshots

Multiple agents in parallel Focused view on a single task
Overview Focus view
Diff review with inline comments AI Arena — race agents head-to-head
Diff review AI Arena

Why Parallel Code?

  • Use the AI coding tools you already trustClaude Code, Codex CLI, Gemini CLI, and Copilot CLI — all from one interface.
  • Free and open source — no extra subscription required. MIT licensed.
  • Keep every change isolated and reviewable — each task gets its own git branch and worktree automatically.
  • Run agents in parallel, not in sequence — five agents on five features at the same time, zero conflicts.
  • See every session in one place — switch context without losing momentum.
  • Control everything keyboard-first — every action has a shortcut, mouse optional.
  • Monitor progress from your phone — scan a QR code, watch agents work over Wi-Fi or Tailscale.
  • Ask about code with any LLM — the inline code Q&A feature supports Claude Code (default) or MiniMax M2.7 (204K context) — configurable in Settings.
How does it compare?
Approach What's missing
Multiple terminal windows / tmux No GUI, no automatic git isolation — you manage worktrees, branches, and merges by hand
VS Code extensions (Kilo Code, Roo Code, etc.) Tied to VS Code; no true parallel worktree isolation between agents
Running agents sequentially One task at a time — blocks your workflow while each agent finishes

How it works

When you create a task, Parallel Code:

  1. Creates a new git branch from your main branch
  2. Sets up a git worktree so the agent works in a separate directory
  3. Symlinks node_modules and other gitignored directories into the worktree
  4. Spawns the AI agent in that worktree

When you're happy with the result, merge the branch back to main from the sidebar.

More features
  • Tiled panel layout with drag-to-reorder
  • Focus mode — single-task layout with a clean two-column view on wide screens (Ctrl+Shift+F)
  • Built-in diff viewer with inline review comments and per-commit navigation
  • Steps tracking panel — engineering-manager-style timeline of agent progress (writes to .claude/steps.json)
  • Notes panel per task — jot ideas, then send the notes straight to the agent as a prompt
  • PR CI status watcher — desktop notification when GitHub checks settle
  • Shell terminals per task, scoped to the worktree
  • Direct mode for working on the main branch without isolation, plus support for folders without a git repo
  • Existing worktree import — bring already-created worktrees into Parallel Code
  • Sandboxing with project-specific Dockerfiles — drop a .parallel-code/Dockerfile into the project and tasks run inside it
  • Coverage radar — per-file test-coverage badges in the Changed Files panel
  • Configurable keyboard shortcuts with per-agent presets
  • 10 themes — Islands Dark, Minimal, Graphite, Midnight, Classic, Indigo, Ember, Glacier, Zenburnesque, Workbench
  • State persists across restarts
  • macOS and Linux

Demo

Watch the demo

▶ Watch the showcase (MP4)

Getting Started

  1. Download the latest release for your platform from the releases page:

    • macOS.dmg (universal)
    • Linux.AppImage or .deb
  2. Install at least one AI coding CLI: Claude Code, Codex CLI, Gemini CLI, Antigravity CLI, or Copilot CLI

  3. Open Parallel Code, point it at a git repo, and start dispatching tasks.

Antigravity CLI: run natively, not in Docker isolation

Antigravity (agy) signs in interactively and caches credentials in your OS keyring (Keychain/libsecret). The keyring cannot be reached from inside a Linux container — it needs a secret-service daemon the agent container doesn't run — and agy has no API-key fallback, so Docker-isolated Antigravity tasks cannot authenticate. Run Antigravity as a native (non-Docker) task.

The bundled image still ships the agy binary, and ~/.gemini/antigravity-cli (settings/plugins) is shared when "Share agent auth" is enabled, so Docker support is forward-compatible if a file-based or API-key auth path appears later.

Build from source
git clone https://github.com/johannesjo/parallel-code.git
cd parallel-code
npm install
npm run dev

Requires Node.js v18+.

Keyboard Shortcuts

Ctrl = Cmd on macOS.

Shortcut Action
Tasks
Ctrl+N New task
Ctrl+Shift+A New task (alternative)
Ctrl+Enter Send prompt
Ctrl+Shift+M Merge task to main
Ctrl+Shift+P Push to remote
Ctrl+W Close focused terminal session
Ctrl+Shift+W Close active task
Navigation
Alt+Arrows Focus pane/task in arrow direction
Alt+Shift+Left/Right Move task (macOS: Ctrl+Shift)
Ctrl+B Toggle sidebar
Ctrl+Shift+F Toggle focus mode
Terminals
Ctrl+Shift+T New shell terminal
Ctrl+Shift+D New standalone terminal
App
Ctrl+, Open settings
Ctrl+/ or F1 Show all shortcuts
Ctrl+0 Reset zoom
Ctrl+Scroll Adjust zoom
Escape Close dialog

If Parallel Code saves you time, consider giving it a star on GitHub. It helps others find the project.

License

MIT

Created: Feb 18, 2026

Last push: Sep 3, 2026

Default branch: main

Latest release: v1.15.0

Languages

Share of the codebase by language, based on repository metadata from the host.

  • TypeScript 96.5%
  • CSS 2.4%
  • JavaScript 0.8%
  • Shell 0.1%
  • HTML 0.1%
  • Dockerfile 0.1%

Repository Radar analysis

Deterministic insights derived from public metadata and our observations — not personal testing or reviews.

Why this repository is interesting

  • Maintained recently (last push 2 weeks ago).

Who should use it

  • Developers working primarily with TypeScript
  • Teams exploring AI tooling, agents, or ML infrastructure

Potential use cases

  • Reference or evaluate TypeScript open-source approaches in this domain
  • Prototype AI/agent workflows or study reference architectures

Strengths

  • Recent repository activity
  • README present in our index
  • Declared license: MIT License

Limitations / considerations

  • Insights are derived from public metadata and our observations — not a substitute for code review

What to watch

  • Radar Score is modest — dig into activity and docs before committing

Strong signals: Active maintenance

Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.

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