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在Agent语境下，Harness是连接大语言模型与外部世界的中间层，负责上下文窗口管理、工具调用序列化与反序列化、多轮对话状态维护以及沙箱环境生命周期管理
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8/24/2026
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UnverifiedAgent Harness refers to the entire engineering system wrapped around a large language model that is responsible for coordinating the model's interactions with the external world.78% similarUnverified代码执行型Agent的核心是大语言模型作为推理引擎，通过Function Calling接口调用外部工具，沙箱环境通常基于Docker容器或WebAssembly技术实现隔离76% similarUnverifiedIn the era of large models, within an Agent architecture, the LLM acts as the brain responsible for reasoning and decision-making, tools act as the limbs responsible for interacting with the external world, and the memory module stores conversation history and intermediate states.73% similarVerifiedAn Agent is an application-layer architecture built on top of an LLM that enables the model to decompose complex tasks, invoke external tools, maintain context state, and iteratively optimize results by introducing mechanisms such as Planning, Memory, Tool Use, and Reflection.72% similarUnverifiedThe Agent Harness does not replace the reasoning capability of the core model, but instead builds a runtime management shell around the model, responsible for cross-cutting concerns such as tool invocation, state management, and error recovery.71% similar
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