Agent application development based on large model (LLM)

At present, the industry generally believes that applications based on large models are concentrated in two directions: RAG and Agent. Regardless of which application, designing, implementing, and optimizing applications that can fully utilize the potential of large models ( LLM ) requires a lot of effort and expertise. As developers begin to create increasingly complex LLM applications, the development process inevitably becomes more complicated. The potential design space of such a process can be huge and complex. The article " How to Build Apps Based on Large Models " provides an exploratory basic framework for large model application development, which can basically be applied to RAG and Agent. However, is there anything unique about agent-oriented large model application development? Is there a large model application development framework focused on Agent?