Récif launches open-source control platform for AI agents running on Kubernetes — lets teams manage multiple self-deciding AIs like a fleet of workers

A developer released Récif, an open-source tool that acts as a command center for AI agents (AIs that make decisions and take actions on their own) deployed on Kubernetes (a system for running software across multiple computers). The project is hosted on GitHub and available now for anyone to use and modify.

Récif solves a concrete problem: when you run multiple AI agents that need to coordinate work, assign tasks, or report results, you normally have to build custom dashboards and control systems from scratch. Récif provides pre-built controls so teams can monitor what each agent is doing, pause or restart them, and see their decisions in one place—similar to how air traffic control tracks multiple planes.

This matters to teams running production AI systems (like customer service bots, data analysis workers, or automation systems) because they can now deploy and manage AI agents faster without writing infrastructure code. Companies using Kubernetes for other workloads can add AI agents to the same platform without learning a new system.