github/gh-aw

Health v2 · maintenance only

Adoption not part of the score

5016 stars · 507 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

GitHub Agentic Workflows (gh-aw) is a GitHub CLI extension that lets developers define AI-powered repository automation in Markdown with YAML frontmatter, compiling it into standard GitHub Actions workflows. It runs AI agents like Copilot, Claude Code, Codex, and Gemini securely in CI, with read-only sandboxed defaults and validated safe-outputs for writes.

Use cases

• automate issue triage with an AI agent in GitHub Actions
• run AI-powered pull request review on every PR
• investigate CI failures automatically with an agent
• keep documentation up to date using AI workflows
• define AI repository automation as Markdown files
• analyze dependencies and generate repository reports with agents

When to choose

• you want AI agents to handle tasks needing reasoning like triage, review, or CI investigation
• you want agentic automation with strong security defaults: sandboxing, read-only agents, scoped safe outputs
• you already use GitHub Actions and want to complement CI with AI workflows
• you want to choose among Copilot, Claude Code, Codex, Gemini, or Pi as the agent engine

When to avoid

• you only need deterministic builds, tests, linting, or deployments - plain GitHub Actions suffices
• you need fully deterministic, reproducible automation with no AI variability
• you don't use GitHub Actions or the GitHub ecosystem
• you can't accept the cost or billing implications of running LLM agents in CI

Facets

cli-tool · maturity active

ci-cd workflow-automation agent-framework developer-tools cli developer-tools large-language-models cli go cloud github-actions gh-extension agentic-workflows claude-code copilot codex issue-triage pr-review markdown-workflows sandboxed-agents automation devops ai-agents docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="github/gh-aw")