gh-aw (github/gh-aw) is an open-source AI project on GitHub. Repository summary: GitHub Agentic Workflows Its focus includes developer-centric engineering workflows, workflow automation. It is suitable for extension, integration, and iterative delivery in real workflows.
License
MIT
Stars
4,459
Homepage
https://gh.io/gh-awFeatures
- Core capability: GitHub Agentic Workflows
- Built for code generation, debugging, or engineering integration
- Supports orchestrated automation flows and scheduling
- Repository: github/gh-aw
- Primary language: Go
- Open-source license: MIT
Use Cases
- Supports AI engineering build-and-iterate workflows for dev teams
- Used for cross-system process automation and operations efficiency
- Build internal AI workflow prototypes with gh-aw
- Validate gh-aw in production-like engineering scenarios
- Building AI development workflows
- Automating agent-based processes
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/github/gh-aw. Community traction is around 4,459 stars. License: MIT.
It usually works as an execution component or capability layer, with common deployment fits such as: Supports AI engineering build-and-iterate workflows for dev teams, Used for cross-system process automation and operations efficiency, Build internal AI workflow prototypes with gh-aw.
