Local GitHub Actions runner for AI agents — test CI/CD workflows locally before pushing.
Agent-CI is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo view redwoodjs/agent-ci --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
Repository setup guidance
Strong trust signals; still review the README and permissions before production use.
Last commit was about 109 days ago.
650 GitHub stars indicate community interest.
15 open issues signal maintenance load.
MIT license detected.
2 security/trust notes recorded.
Setup difficulty is 2/5.
Open-source LLM app development platform. Build AI workflows, RAG pipelines, and agents with a visual interface.
Connect AI agents to 250+ tools. A single integration layer for Gmail, Slack, GitHub, Jira, and more.
The fast, Pythonic way to build MCP servers. Turn any Python function into an MCP tool in minutes.
Drag-and-drop UI for building LLM flows and AI agents. Visual LangChain builder with no-code interface.
AI agents can iterate on GitHub Actions workflows locally, catching errors without polluting commit history.
650
Stars
45
Forks
15
Issues
MIT
License
Local GitHub Actions runner for AI agents — test CI/CD workflows locally before pushing.
DevOps Engineers, Fullstack Developers
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Runs GitHub Actions locally — review workflow files CI runner needs Docker in some cases
Similar or complementary options to evaluate include Dify, Composio, FastMCP.
Aug 20, 2026