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github/gh-aw

GitHub Agentic Workflows

Go ◇ actions MIT

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★5.2KSTARS

⑂560FORKS

!431ISSUES

🏆#1,063GLOBAL RANK

🔥3DAYS TRENDING

🚀

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Star History

Continuous Observations

Interactive star growth chart for github/gh-aw

Momentum

+130

STARS · LAST 30 DAYS

PER DAY

#146

MOST-STARRED Go

Window	7 days	30 days	90 days
Stars gained	+28	+130	+360
Per day	4	4	4
Forks gained	+3	+11	+28

gh-aw gained 130 stars in the last 30 days, about 4 a day, and now has 5.2K. It is about 1 year old and has averaged roughly 5.2K stars a year. It ranks #146 among Go repositories and #1,063 across all languages on GitHubRepo.

Trending Record

gh-aw has maintained a continuous presence across global trending indexes, peaking at #1285. Below is the 30-day activity profile:

💡 Overview

gh-aw is an open-source project written in Go: GitHub Agentic Workflows.

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

⚡ Key Features

Optimized execution pipeline written in Go for predictable speed.

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

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

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

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

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal

$ go install github.com/github/gh-aw@latest

$ go install github.com/github/gh-aw@latest

> go install github.com/github/gh-aw@latest

⚙ System Requirements

Platforms

• macOS
• Linux
• Windows

Runtime & Dependencies

Go >= 1.21 runtime environment

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

gh-aw coordinates its core functionality through a modular Go 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 gh-aw.

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

Install gh-aw using your package manager: `go install github.com/github/gh-aw@latest`

Initialize your project workspace or configuration file for gh-aw.

Import gh-aw into your codebase or invoke it directly from your terminal.

Execute your test suite or run `gh-aw --help` to verify successful setup.

👍 Strengths

Active community backing with 5,187 GitHub stars and verified adoption.

Permissive open-source distribution under the MIT license.

Built in Go 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 Go 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.

⇄ Alternatives & Direct Competitors

avelino/awesome-go ★ 185.9K Go

A curated list of awesome Go frameworks, libraries and software

Compare ↗

ollama/ollama ★ 181.8K Go

Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

Compare ↗

golang/go ★ 139.1K Go

The Go programming language

Compare ↗

kubernetes/kubernetes ★ 128K Go

Production-Grade Container Scheduling and Management

Compare ↗

👥 Who Should Use This

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

🏆 Nearby in the Rankings

github/gh-aw is currently ranked #1,063 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

Rank	Repository	Language	Stars	Action
#1,058	laravel/telescope	PHP	★ 5.2K	Compare ↗
#1,059	openclaw/Peekaboo	Swift	★ 5.2K	Compare ↗
#1,060	cucumber/cucumber-ruby	Ruby	★ 5.2K	Compare ↗
#1,061	php-webdriver/php-webdriver	PHP	★ 5.2K	Compare ↗
#1,062	jetkvm/kvm	TypeScript	★ 5.2K	Compare ↗
#1,063	github/gh-aw This Project	Go	★ 5.2K
#1,064	vitali87/code-graph-rag	Python	★ 5.2K	Compare ↗
#1,065	extension-js/extension.js	TypeScript	★ 5.2K	Compare ↗
#1,066	vulkano-rs/vulkano	Rust	★ 5.2K	Compare ↗
#1,067	wp-cli/wp-cli	PHP	★ 5.2K	Compare ↗
#1,068	line/armeria	Java	★ 5.1K	Compare ↗

Frequently Asked Questions

What does gh-aw do? +

GitHub Agentic Workflows

What language is gh-aw written in? +

The primary language is Go. Topics include: actions, cai, ci, claude-code, codex.

Is gh-aw actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 431 open issues being tracked.

How many stars does gh-aw have? +

gh-aw has 5,187 stars and 560 forks on GitHub.

How does gh-aw rank among GitHub repositories? +

With 5,187 stars, github/gh-aw is ranked #1,063 globally across all repositories tracked on GitHubRepo and #146 among Go projects.

What license is gh-aw distributed under? +

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

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LinkedIn

Why gh-aw is replacing paid subscriptions for engineering teams

Stop paying $50+/month for locked SaaS tools.

Over 5,187 developers have starred github/gh-aw, an impressive Go open-source project designed to GitHub Agentic Workflows.

Key Engineering Advantages:
• 100% Local-First: Complete data privacy with zero tracking or telemetry.
• Zero Subscription Costs: No paywalls, per-seat fees, or API markups.
• Complete Customization: Native open-source architecture you can fork, inspect, and deploy anywhere.
• Proven Adoption: 5,187 GitHub stars and 560 forks.

If you're looking to streamline your engineering workflows without ballooning software expenses, this is worth checking out.

👉 Full star velocity and architectural report: https://githubrepo.cloud/repo/github/gh-aw
⭐ GitHub Repository: https://github.com/github/gh-aw

#OpenSource #SoftwareEngineering #DeveloperTools #Tech #Programming #Go

🤖

Reddit (r/opensource, r/webdev, r/selfhosted)

Show r/opensource: gh-aw – A free, self-hosted tool that lets you GitHub Agentic Workflows

Hey everyone,

I wanted to share an interesting open-source project called **gh-aw** (https://github.com/github/gh-aw) that has been picking up heavy momentum lately (5,187 stars).

### What problem does it solve?
Many existing tools in this domain require expensive cloud plans or store your data on third-party servers. gh-aw was built with a local-first philosophy, allowing developers to GitHub Agentic Workflows without recurring subscription costs or privacy compromises.

### Tech Stack & Details:
- **Language:** Go
- **License:** MIT
- **GitHub:** [github/gh-aw](https://github.com/github/gh-aw)
- **Live Star Momentum Tracker:** [https://githubrepo.cloud/repo/github/gh-aw](https://githubrepo.cloud/repo/github/gh-aw)

Has anyone here tested this in production or integrated it into existing pipelines? Would love to hear your experience and feedback!

🟧

Hacker News (Show HN)

Show HN: gh-aw – GitHub Agentic Workflows

Hi HN,

gh-aw is an open-source Go project designed to GitHub Agentic Workflows.

Rather than relying on closed cloud endpoints, it executes locally on your own machine, providing predictable latency, total privacy, and full control.

Repository: https://github.com/github/gh-aw
Documentation & Metrics: https://githubrepo.cloud/repo/github/gh-aw

Feedback and PRs are welcome.

✍️

Dev.to / Hashnode Tags: opensource, go, devtools, webdev

This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet gh-aw (5,187 GitHub Stars)

---
title: This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet gh-aw
published: true
tags: opensource, go, devtools, programming
---

## Stop Paying Software Subscriptions For This

Finding high-quality, production-ready open source alternatives to expensive proprietary software can save engineering teams thousands of dollars every year.

Today, we're looking at **[github/gh-aw](https://github.com/github/gh-aw)**, a rapidly rising repository with **5,187 GitHub stars** and **560 forks**.

### What is gh-aw?

> GitHub Agentic Workflows

Written in **Go**, gh-aw runs directly on your local workstation or private server, keeping your data secure and eliminating recurring license fees.

### Key Highlights
- **High Performance:** Lightweight, reliable, and built in Go.
- **Privacy & Security:** Complete ownership of your environment and data.
- **Growing Momentum:** Ranked **#1,063** globally across tracked repositories on [GitHubRepo](https://githubrepo.cloud/repo/github/gh-aw).

### Quick Start
To get started locally:

```bash
git clone https://github.com/github/gh-aw.git
cd gh-aw
```

Check out the full repository and star history analytics here:
- **GitHub:** [github/gh-aw](https://github.com/github/gh-aw)
- **Star Velocity Tracker:** [gh-aw on GitHubRepo.cloud](https://githubrepo.cloud/repo/github/gh-aw)

𝕏

X / Twitter Communities

Thread / Community Post for gh-aw

Developers are sleeping on this GitHub repo 👇

github/gh-aw (5,187 ⭐) replaces expensive monthly software subscriptions with 100% free open source code.

⚡ What it does: GitHub Agentic Workflows
💻 Built with: Go
🔒 100% local execution & privacy

Check live star velocity and benchmarks:
https://githubrepo.cloud/repo/github/gh-aw

#opensource #developer #coding #tech #programming

🧵

Threads Topics

Topic Discussion: Open Source & Developer Tools

This GitHub repo replaces a $50/month tool! 🚀

If you want to save hours of manual work and stop paying subscriptions, check out github/gh-aw.

It already has over 5,187 stars and lets you GitHub Agentic Workflows.

Drop a comment if you've tried it, or check the full star momentum report:
https://githubrepo.cloud/repo/github/gh-aw

From our network

github/gh-aw

Star History

Momentum

Trending Record

💡 Overview

⚡ Key Features

📥 Installation

⚙ System Requirements

Platforms

Runtime & Dependencies

Architecture

🧠 How It Works

🎯 Production Use Cases

Autonomous AI Agents

Model Inference & Prompting

Context Memory & RAG

Developer Productivity

🚀 Getting Started

👍 Strengths

⚠️ Considerations

⇄ Alternatives & Direct Competitors

👥 Who Should Use This

🏆 Nearby in the Rankings

Frequently Asked Questions

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