Agent Memory Distillation for Small LLM Agents

AMD is a training-free framework that transfers structured knowledge from large teacher agents to small student agents using hierarchical memory. It utilizes three distinct layers: workflow memory for task strategies, subtask memory for behavioral examples, and function memory for calling conventions and error mitigation.