The research highlights how LLM agents employ editable external harnesses, which encompass prompts, skills, memories, and tools that influence their performance in various tasks.
By examining these harnesses, the study seeks to clarify the nuanced difference between updating these harnesses and the benefits they provide to the agents.
This exploration is crucial as LLM agents become more prevalent in AI applications, raising questions about their evolution and capabilities.