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HyperAgent: Natural Language Browser Automation with Playwright + LLM
HyperAgent: Natural Language Browser Automation with Playwright + LLM
 ### GitHubDaily@GitHub_Daily
写自动化测试脚本或者写爬虫时，用传统的 Playwright 往往需要频繁维护各种元素选择器。
一旦目标网页的结构发生微调，原有的脚本就容易直接报错罢工，维护起来颇为费神。
最近在 GitHub 上看到到 HyperAgent 这个开源项目，巧妙地将 Playwright 与大模型结合在了一起。
通过自然语言就能控制浏览器，完成复杂的自动化任务，不用再写一堆脆弱的选择器代码。
GitHub：github.com/hyperbrowserai…
支持单步操作，速度快成本低，以及能处理多步骤复杂任务，支持视觉理解和自适应调整。
还内置动作缓存功能，录制一次工作流后可以反复回放，不需要每次都调用大语言模型。
底层直接使用 Chrome 开发者工具协议，动作执行更精确，自动过滤广告框架，支持深层嵌套的 iframe 操作。
同时支持云端扩展，可以通过 Hyperbrowser 快速扩展到数百个会话，还能连接 MCP 工具实现完整工作流。
如果你正在用 Playwright 做自动化测试或数据采集，又厌倦了频繁维护选择器代码，这个项目值得一试。Show More
00:16
Mar 22, 2026, 4:00 AM View on X
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4,179 Views  GitHubDaily @GitHub_Daily
One Sentence Summary
GitHubDaily recommends HyperAgent, an open-source project that combines Playwright with LLMs to enable browser automation through natural language, solving traditional selector maintenance challenges.
Summary
This tweet introduces HyperAgent on GitHub, a project that cleverly integrates Playwright with large language models. Its core value lies in using natural language instead of traditional CSS/XPath selectors, reducing maintenance costs for automation scripts. The project supports single-step operations, complex multi-step tasks, visual understanding, and adaptive adjustments. It features built-in action caching for recording and replaying workflows. Technically, it uses the Chrome DevTools Protocol, supports ad filtering and deep nested iframe operations, and can scale cloud sessions via Hyperbrowser while connecting MCP tools for complete workflow automation. Ideal for developers using Playwright for automated testing or data scraping.
AI Score
79
Influence Score 13
Published At Today
Language
Chinese
Tags
Automated Testing
Web Scraping
Playwright
LLM
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