Orloj: An Orchestration Runtime for Multi-Agent AI Systems
By
An0n_Jon
Fresh out the oven, still warm. Top of the tray.
Summary
Orloj is an orchestration runtime for multi-agent AI systems that enables developers to declare agents, tools, and policies as YAML configuration files. The system then handles scheduling, execution, routing, and governance of these AI agents for production-grade operation. Named after the Prague Orloj astronomical clock, the project aims to bring the same operational rigor to multi-agent AI systems that container orchestration brought to infrastructure. The tool is currently under active development with APIs and schemas subject to change before version 1.0.
Key quotes
· 5 pulledAn orchestration runtime for multi-agent AI systems.
Declare your agents, tools, and policies as YAML. Orloj schedules, executes, routes, and governs them so you can run multi-agent systems in production with the same operational rigor you expect from infrastructure.
Named after the Prague Orloj, an astronomical clock that has coordinated complex mechanisms for over 600 years.
Running AI agents in production today looks a lot like running containers before Kubernetes.
Orloj is under active development. APIs and resource schemas may change between minor versions before 1.0.
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