CollabFlow is a recursive self-improvement system for agent collaboration. It proposes a trainable director that constructs teams of agents, a frozen executor that runs them, and a retraining loop that improves outcomes. The system also introduces Evidence-Conditioned Communication and Collaborative Trajectory Balance to optimize team performance. CollabFlow outperforms baselines on 12 datasets and improves across rounds.