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johannesjo
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johannesjo/parallel-code

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

TypeScript ◇ ai-agents MIT
★1KSTARS
⑂140FORKS
!50ISSUES
🏆#2,615GLOBAL RANK
🔥3DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for johannesjo/parallel-code
CSV

Momentum

+26

STARS · LAST 30 DAYS

1

PER DAY

#311

MOST-STARRED TypeScript

Window7 days30 days90 days
Stars gained+7+26+90
Per day111
Forks gained+1+3+10

parallel-code gained 26 stars in the last 30 days, about 1 a day, and now has 1K. It is about 1 year old and has averaged roughly 1K stars a year. It ranks #311 among TypeScript repositories and #2,615 across all languages on GitHubRepo.

Trending Record

parallel-code has maintained a continuous presence across global trending indexes, peaking at #2106. Below is the 30-day activity profile:

💡 Overview

parallel-code is an open-source project written in TypeScript: Run Claude Code, Codex, and Gemini side by side — each in its own git worktree.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-agents, ai-coding, ai-tools. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in TypeScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ npm install parallel-code

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18, npm, pnpm or bun

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

parallel-code coordinates its core functionality through a modular TypeScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with parallel-code.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install parallel-code using your package manager: `npm install parallel-code`

2

Initialize your project workspace or configuration file for parallel-code.

3

Import parallel-code into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `parallel-code --help` to verify successful setup.

👍 Strengths

Active community backing with 1,022 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in TypeScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with TypeScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with TypeScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

johannesjo/parallel-code is currently ranked #2,615 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

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Frequently Asked Questions

What does parallel-code do? +

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

What language is parallel-code written in? +

The primary language is TypeScript. Topics include: ai-agents, ai-coding, ai-tools, claude-code, codex-cli.

Is parallel-code actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 50 open issues being tracked.

How many stars does parallel-code have? +

parallel-code has 1,022 stars and 140 forks on GitHub.

How does parallel-code rank among GitHub repositories? +

With 1,022 stars, johannesjo/parallel-code is ranked #2,615 globally across all repositories tracked on GitHubRepo and #311 among TypeScript projects.

What license is parallel-code distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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