aiwaves-cn/agents is an open-source framework focused on data-driven adaptive language agents. It provides a systematic approach to training language agents through symbolic learning, inspired by the connectionist learning process used for training neural networks. The framework implements backpropagation and gradient-based weight updates, utilizing language-based losses, gradients, and weights to optimize multi-agent systems.