Declarative agent infrastructure as code for multi-agent AI orchestration
Orloj is an open-source orchestration plane for multi-agent AI systems. It provides developers and platform teams with a declarative YAML-based approach to define agent resources, a production runtime, and built-in governance. It solves the complexity of manually wiring together agents, models, and tools by offering a standardized infrastructure layer. Key capabilities include model routing, tool isolation, and policy enforcement on every API call. It includes a web console for visualization and management. The platform is designed for teams building scalable, maintainable, and governed multi-agent applications.
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Declarative YAML resources for defining agents and infrastructure
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Production-ready runtime for multi-agent orchestration
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Model routing and tool isolation for security and control
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Governance and policy enforcement on every call
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Built-in web console for management and observability
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Open-source orchestration plane
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Building governed, enterprise-grade multi-agent applications
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Orchestrating AI agents with defined roles, tools, and model access
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Implementing secure, auditable workflows with policy enforcement
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Standardizing agent infrastructure across development teams
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Managing model routing and cost optimization in agent systems
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Providing a visual interface for monitoring and debugging agent interactions