Omega Orchestration

Multi-agent orchestration coordinates hundreds of agents by decomposing tasks into a DAG, dispatching parallel execution, and merging results with coherent failure handling. It uses topological planning and cycle detection to ensure safe task progression.

Task decomposition for parallel execution utilizes functional, layer, file, and domain-based splitting strategies. These decomposition methods maximize parallelism across agents by structuring tasks into a DAG with managed dependencies.

You can integrate external CLI terminals and Kanban boards for real-time progress tracking. The orchestration uses an external terminal bridge and Fulcrum Kanban integration to synchronize and monitor workflow states.

Context partitioning reduces prompt payload size by provisioning minimal context per agent using environment-like variables in an RLM style. This limits the context boundary for each dispatched agent, ensuring they only receive necessary information.

Health-aware scheduling checks agent health before dispatch and automatically re-routes or executes fallback procedures as needed. This prevents agent failures from blocking the DAG and ensures robust task progression across hundreds of agents.