This article critiques a proposed diagram for agent engineering, arguing that its four main categories (Skills, Harness, Memory, and Protocols) represent different architectural dimensions rather than equivalent building blocks. The author proposes a Runtime-Centric Agent Architecture as a more coherent model, emphasizing that the runtime coordinates the LLM, capabilities, state, and environment within a controlled execution lifecycle. This approach aims to make the relationships between these components explicit, unlike the original diagram which flattens them into a list of neighboring concepts. AI
影响 Refines understanding of LLM agent architecture, potentially influencing future development of more robust and reliable AI agents.
排序理由 Article provides an opinion and critique of an existing conceptual model for LLM agents.
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