Agent Orchestrator

About

Agent Orchestrator is a robust solution designed for managing and coordinating AI agent systems in production settings. It offers four distinct, production-oriented orchestration strategies, each packaged as a separate server, allowing users to select the most suitable model for their specific workload requirements. These strategies range from predictable centralized queues to dynamic market-based bidding systems, ensuring flexibility and efficiency in managing heterogeneous agents and long-horizon tasks, with detailed guidance on deployment, reliability, security, and observability.

Key Features

• Hierarchical Planner and Executors for long-horizon task decomposition into Directed Acyclic Graphs (DAGs)
• Event-Sourced Blackboard for replay, auditability, and postmortem reconstruction
• Production-ready MCP servers with quick start options
• Market/Bidding Scheduler for dynamic assignment of heterogeneous agents
• Centralized Role Queue for predictable agent coordination
• 1 GitHub stars

Use Cases

• Coordinating multi-agent systems with predictable task flows
• Implementing auditable AI workflows requiring replay and forensic analysis
• Decomposing complex, long-horizon AI problems into manageable, hierarchical execution plans