GoKawiilOrloj
Named after the Prague Orloj, an astronomical clock that has coordinated complex mechanisms for over 600 years.
An 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.
Status: Orloj is under active development. APIs and resource schemas may change between minor versions before 1.0.
Why Orloj
Running AI agents in production today looks a lot like running containers before container orchestration: ad-hoc scripts, no governance, no observability, and no standard way to manage an agent fleet. Orloj provides:
Agents-as-Code -- declare agents, their models, tools, and constraints in version-controlled YAML manifests.
-- declare agents, their models, tools, and constraints in version-controlled YAML manifests. DAG-based orchestration -- pipeline, hierarchical, and swarm-loop topologies with fan-out/fan-in support.
-- pipeline, hierarchical, and swarm-loop topologies with fan-out/fan-in support. Model routing -- bind agents to OpenAI, Anthropic, Azure OpenAI, Ollama, and other endpoints. Switch providers without changing agent definitions.
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