Lacquer is a lightweight AI workflow engine that turns repeatable engineering tasks into reliable YAML workflows that never skip a step. Think GitHub Actions, but for AI-powered internal tools.

I built this because I needed something quick and practical for my day-to-day engineering work. The market is saturated with no-code automation GUIs, but they don't fit my workflow as an engineer. With Lacquer, I wanted:

- Local First: Prototype workflows directly in your terminal and editor - Version Control: Plain YAML files you can commit to GitHub and share with your team - Familiar DSL: GitHub Actions-like syntax that leverages what you already know - Single Binary: Ships as one Go binary (~40MB) - no complex dependencies or container orchestration - Easy Deployment: Run locally with `laq run` or deploy to production with `laq serve`

It's early days, but I'd love to hear if this scratches an itch for you, or if you have ideas for what would make it more useful for your workflows.

GitHub: https://github.com/lacquerai/lacquer | Website: https://lacquer.ai | Docs: https://lacquer.ai/docs

Thanks for checking it out!