Orloj
betaAgent infrastructure orchestration platform using YAML and GitOps
AI InfrastructureDeveloper ToolsMLOps
What It Does
Details
Provides an orchestration runtime for multi-agent AI systems. Allows users to declare agents, tools, and policies as YAML, enabling scheduled, governed, and observable multi-agent workflows in production.
Who It's For
Best fit users
- •AI Engineers
- •DevOps Teams
- •Machine Learning Platforms
Why It Matters
Why this one made the cut
Current AI agent deployment lacks standardization and operational rigor. Orloj introduces infrastructure-as-code principles to multi-agent systems, enabling more reliable, manageable, and scalable AI workflows.
Differentiator
What makes it different
Offers declarative agent definition, built-in governance, model routing flexibility, and tool isolation with comprehensive production reliability features.
Sources