ARIADNE enables dynamic, training-free adapter selection at inference time by using centroids from adapter training data embeddings. It selects the most appropriate adapter based on proximity in latent space, without requiring access to adapter internals or additional training, and achieves 89.7% average selection accuracy across 44 NLP tasks.