The author introduces the concept of Natural-Language Agent Harnesses (NLAH)， proposing a separation between the general execution mechanism and task-specific strategies.
📝 详细摘要
This tweet outlines the architectural concept of Natural-Language Agent Harnesses (NLAH). It proposes a clear division between the 'Runtime' (general execution mechanism and semantics) and the 'Harness' (strategies for specific tasks). By externalizing the harness， it can be treated as a portable and executable artifact， offering a modular approach to agent development.
📊 文章信息
AI 评分：80
来源：马东锡 NLP(@dongxi_nlp)
作者：马东锡 NLP
分类：人工智能
语言：英文
阅读时间：1 分钟
字数：248
标签： AI Agents, NLAH, Agent Framework, Software Architecture, LLM