Agent Adaptive Coordinator

This is a swarm orchestration layer that automatically switches between coordination patterns (hierarchical, mesh, ring, hybrid) based on real-time workload analysis. You'd use it when you need Claude to dynamically adapt how multiple agents coordinate rather than locking into a single topology. The hooks show it analyzes task characteristics like complexity and parallelizability, then picks or switches topologies mid-flight using performance metrics and ML predictions. It's ambitious in scope with neural pattern training and predictive scaling, though the actual switching logic relies heavily on threshold-based heuristics. Best suited for complex multi-agent workflows where coordination overhead meaningfully impacts performance and you want the system to self-optimize rather than manually tuning topology per task type.