Build infrastructure for long-running agent execution, memory, planning, and stop-and-resume workflows Create platforms that allow AI agents to autonomously implement features, execute tests in isolated environments, analyze execution traces, and improve their own outputs

An open-source runtime that compiles standard Agent SKILL.md files into Workflow DSL artifacts with validation, LiteGraph visualization, durable execution, pause/resume, connector calls, and audit logs. It helps turn flexible agent capabilities into controlled, repeatable enterprise workflows.. Product Hunt launch with 1 votes and 1 comments.

I like that you're treating agent work as something that needs governance instead of assuming more capable agents automatically mean safer execution. As agents become responsible for larger parts of software delivery, I think orchestration, accountability, and auditability become infrastructure rather than enterprise features. The control plane ends up being as important as the agent itself.