Embed an Alibaba in-page GUI agent into web applications.
npx skills add https://github.com/liumeixin/hermes-skills --skill page-agent-liumeixin
Please help me install this Agent Skill. Skill: page-agent Source: https://github.com/liumeixin/hermes-skills/tree/main/web-development/page-agent Command: npx skills add https://github.com/liumeixin/hermes-skills --skill page-agent-liumeixin
This Skill enables the integration of the Alibaba page-agent into your web application, providing an AI-powered in-page GUI agent for end-users to interact with your application using natural language.
Import the page-agent library and wire it up with your own LLM endpoint:
import { PageAgent } from 'page-agent'
const agent = new PageAgent({
model: 'qwen3.5-plus',
baseURL: 'https://dashscope.aliyuncs.com/compatible-mode/v1',
apiKey: process.env.LLM_API_KEY,
language: 'en-US',
})
agent.panel.show()
High-intent search queries and answers about installing and using this skill.
To add an AI copilot to your web application, embed the page-agent library via a script tag or npm package and configure it with an OpenAI-compatible LLM endpoint. This allows users to execute natural language commands on the webpage UI.
Yes, you can drive web UI with natural language commands without Python or a headless browser. The page-agent executes instructions like "click login" directly in the browser by connecting to an OpenAI-compatible LLM endpoint.
No, you do not need a Python backend to run an in-page GUI agent. The page-agent operates entirely with JavaScript and an OpenAI-compatible LLM endpoint, eliminating the need for Python or headless browser dependencies.
The best way to modernize legacy web apps with an AI assistant is to embed an in-page GUI agent via a single script tag. This enables natural language interaction with existing UI elements without requiring complex backend rewrites.
To embed an in-page GUI agent into a SaaS dashboard, import the page-agent JavaScript library and initialize it with your LLM API key and base URL. Call the show method to display the interactive AI copilot panel for users.
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