Agent Performance Optimizer

This is a system performance optimizer that uses sublinear algorithms to identify bottlenecks and manage resource allocation. It connects to the sublinear-time-solver MCP server to handle things like load balancing across compute nodes, analyzing CPU and memory utilization patterns, and validating optimization improvements. The real-time monitoring examples show it collecting metrics with psutil and adjusting allocations on the fly. It's aimed at distributed systems and cloud infrastructure where you need to squeeze more efficiency out of existing resources without just throwing more hardware at the problem. The code samples are fairly complete, showing actual integration patterns with resource matrices and workload distributions rather than just theoretical optimization talk.