Harmonia is a lightweight multi-agent reinforcement learning framework that jointly optimizes data placement and migration in hybrid storage systems. Harmonia uses two coordinated RL agents to adapt to workload and storage-device conditions. More details in our ICS 2026 paper: https://arxiv.org/pdf/2503.20507 - View it on GitHub