Declarative agent infrastructure as code for multi-agent AI orchestration
Orloj Overview
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.
Orloj Key Features
Declarative YAML resources for defining agents and infrastructure
Production-ready runtime for multi-agent orchestration
Model routing and tool isolation for security and control
Governance and policy enforcement on every call
Built-in web console for management and observability
Open-source orchestration plane
Orloj Use Cases
Building governed, enterprise-grade multi-agent applications
Orchestrating AI agents with defined roles, tools, and model access
Implementing secure, auditable workflows with policy enforcement
Standardizing agent infrastructure across development teams
Managing model routing and cost optimization in agent systems
Providing a visual interface for monitoring and debugging agent interactions
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