Runctl – Infrastructure for running AI agents in production

Summary: RunCtl is a multi-tenant runtime and scheduler designed to manage AI agents in production. It streamlines agent lifecycle management, task scheduling, cost-aware execution, isolation, and observability, enabling teams to deploy and scale AI agents without building infrastructure from scratch.

What it does

RunCtl handles deploying agents, executing tasks, and monitoring usage and costs in a unified platform. It manages resource-aware scheduling, tenant isolation, and lifecycle operations for AI agents.

Who it's for

It is intended for teams and developers running AI agents who need reliable production infrastructure without rebuilding core systems like task queues and cost tracking.

Why it matters

RunCtl addresses the challenge of operating AI agents at scale by providing essential infrastructure to deploy, monitor, and control agents efficiently in production environments.