摘 要：
2026年初，一个名为OpenClaw的开源AI智能体框架在技术社区迅速走红，其GitHub星标数月内突破28万，创下开源软件历史增长纪录。区别于传统对话式AI，OpenClaw具备真正的“执行能力”——能够直接操作文件系统、控制浏览器、执行终端命令，将用户的自然语言指令转化为实际的计算机操作。本文从应用研究视角出发，系统介绍OpenClaw的研发背景、技术定位、核心架构及典型应用场景，并结合国内网络环境提供可落地的实操方案，旨在帮助读者理解AI智能体的技术本质与应用边界，推动执行型AI的轻量化普及应用。
关键词：AI智能体；自动化执行；本地部署；OpenClaw；国产模型适配
Abstract:
In early 2026, an open-source AI agent framework called OpenClaw quickly gained popularity in the tech community. It reached over 280,000 GitHub stars within just a few months, setting a new growth record for open-source software. Unlike conventional conversational AI, OpenClaw is equipped with real execution capabilities: it can directly manage the file system, control browsers, run terminal commands, and translate users’ natural language instructions into concrete computer operations. From an applied research perspective, this paper systematically analyzes the development background, technical positioning, core architecture, and typical application scenarios of OpenClaw. It also offers practical implementation schemes adapted to the domestic network environment. The purpose is to help readers understand the technical nature and application scope of AI agents, and to promote the lightweight popularization and application of executive AI.
Keywords: AI agent; Automated execution; Local deployment; OpenClaw; Domestic model adaptation
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