gh-aw vs aidevops
AI-assisted repository workflows compared
gh-aw adds AI reasoning to GitHub repository automation by compiling Markdown workflow definitions into GitHub Actions. aidevops is a broader shell-based framework and OpenCode plugin for coordinating AI agents across software delivery and operational work, with isolated Git workflows and persistent project records.
gh-aw: Define AI Workflows for GitHub Actions
GitHub Agentic Workflows is a Go-based GitHub CLI extension for defining AI-powered repository automation in Markdown and running it through GitHub Actions. It compiles workflows for supported agents, with read-only defaults and controlled write jobs.
aidevops: Automate DevOps Work with OpenCode AI Agents
aidevops is an OpenCode plugin and AI DevOps framework that helps teams carry work from intent to verified outcomes. It combines specialist agents, Git workflows, operational automation, and service integrations, with documented macOS and Linux support.
| gh-aw | aidevops | |
|---|---|---|
| Language | Go | Shell |
| License | MIT | MIT |
| Stars | 5.4k | 410 |
| Forks | 596 | 69 |
| Last analyzed | Oct 23, 2026 | Oct 17, 2026 |
Key differences
- gh-aw focuses on interpreting repository issues, pull requests, and CI results within GitHub Actions, while aidevops covers software delivery and wider operational tasks.
- gh-aw defines workflows in Markdown with YAML frontmatter and compiles them into GitHub Actions; aidevops provides CLI commands, an OpenCode plugin, specialist agents, and configurable workflows.
- gh-aw is written in Go, while aidevops is written in Shell.
- gh-aw defaults agent jobs to read-only and sandboxed, with configured writes handled through safe outputs; aidevops emphasizes isolated worktrees, verification evidence, and authority-aware merge and release steps.
- gh-aw supports several AI engines, including Copilot, Claude Code, Codex, Gemini, and Pi; aidevops recommends OpenCode and also supports Claude Code and Codex CLI as interactive runtimes.
- Both projects use the MIT license and are not archived; gh-aw has 5.3k stars and 572 forks, compared with aidevops at 405 stars and 69 forks.
Choose gh-aw if you…
- need AI reasoning for repository triage, pull-request review, or CI investigation within GitHub Actions.
- want to define agent workflows in Markdown and keep deterministic builds, tests, and deployments in conventional CI.
- prefer read-only, sandboxed agent jobs by default, with configured writes routed through safe outputs.
Choose aidevops if you…
- want AI agents to carry work through implementation, verification, and pull-request handoff in isolated Git worktrees.
- need specialist guidance and workflows spanning software delivery and broader operational tasks.
- want project plans, decisions, evidence, and handoffs to persist beyond individual AI chat sessions.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.