Orloj
Declarative agent infrastructure as code for multi-agent AI orchestration
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Orloj, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
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.
Key features and capabilities
- 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
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