orchestration-agent/agentorchestration

The README presents this project as an enterprise-focused platform for running and coordinating AI agents. The idea is that an organization might have many autonomous agents performing tasks, and this codebase is meant to be the layer that registers them, schedules their work, lets them talk to each other, and keeps records of what they did. From the architecture diagram the README shows, the system has an agent registry, a task scheduler, a resource manager, and a monitoring and alerting block. Below those sits a core orchestration engine, then a plugin and extension API, and at the bottom a set of SDKs listed as Python, TypeScript, Go, and Java. The intent is that developers in any of those languages can write agents that plug into the platform. The feature list claims agent lifecycle management for registering and retiring agents, priority-based task scheduling that takes resources into account, secure cross-agent message passing, role-based access control with audit logging and secrets handling, deployments on AWS, GCP, Azure or on-premise, distributed tracing and metrics, and a plugin model. The quick-start uses a CLI installed via pip as agent-orchestrator-cli. The shown commands initialize a project, deploy a sample agent from a YAML file, and watch its status. Full documentation is pointed at an external site, contribution and security policies are mentioned, and the license is described as enterprise. The README is fairly sparse on actual usage detail beyond what is summarized here.