AgentJet is a new distributed swarm training framework for reinforcement learning that enhances the training of large language model agents by decoupling model optimization from agent execution. Its innovative features, including heterogeneous multi-model training and fault-tolerant execution, promise significant efficiency improvements in AI research and development.