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page-agent

Embed an in-page natural-language GUI copilot in web apps.

DeepseekModel キュレーション済みスキル 品質 優秀 · 90 v1.0.0

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name page-agent description Embed an in-page natural-language GUI copilot in web apps. version 1.0.0 author Hermes Agent license MIT platforms ["linux","macos","windows"] metadata {"hermes":{"tags":["web","javascript","agent","browser","gui","alibaba","embed","copilot","saas"],"category":"web-development"}} page-agent alibaba/page-agent ( https://github.com/alibaba/page-agent , 17k+ stars, MIT) is an in-page GUI agent written in TypeScript. It lives inside a webpage, reads the DOM as text (no screenshots, no multi-modal LLM), and executes natural-language instructions like "click the login button, then fill username as John" against the current page. Pure client-side — the host site just includes a script and passes an OpenAI-compatible LLM endpoint. When to use this skill Load this skill when a user wants to: Ship an AI copilot inside their own web app (SaaS, admin panel, B2B tool, ERP, CRM) — "users on my dashboard should be able to type 'create invoice for Acme Corp and email it' instead of clicking through five screens" Modernize a legacy web app without rewriting the frontend — page-agent drops on top of existing DOM Add accessibility via natural language — voice / screen-reader users drive the UI by describing what they want Demo or evaluate page-agent against a local (Ollama) or hosted (Qwen, OpenAI, OpenRouter) LLM Build interactive training / product demos — let an AI walk a user through "how to submit an expense report" live in the real UI When NOT to use this skill User wants Hermes itself to drive a browser → use Hermes' built-in browser tool (Browserbase / Camofox). page-agent is the opposite direction. User wants cross-tab automation without embedding → use Playwright, browser-use, or the page-agent Chrome extension User needs visual grounding / screenshots → page-agent is text-DOM only; use a multimodal browser agent instead Prerequisites Node 22.13+ or 24+, npm 10+ (docs claim 11+ but 10.9 works fine) An OpenAI-compatible LLM endpoint: Qwen (DashScope), OpenAI, Ollama, OpenRouter, or anything speaking /v1/chat/completions Browser with devtools (for debugging) Path 1 — 30-second demo via CDN (no install) Fastest way to see it work. Uses alibaba's free testing LLM proxy — for evaluation only , subject to their terms. Add to any HTML page (or paste into the devtools console as a bookmarklet): < script src = "https://cdn.jsdelivr.net/npm/page-agent@1.8.0/dist/iife/page-agent.demo.js" crossorigin = "true" > </ script > A panel appears. Type an instruction. Done. Bookmarklet form (drop into bookmarks bar, click on any page): javascript :( function ( ){ var s= document . createElement ( 'script' );s. src = 'https://cdn.jsdelivr.net/npm/page-agent@1.8.0/dist/iife/page-agent.demo.js' ; document . head . appendChild (s);})(); Path 2 — npm install into your own web app (production use) Inside an existing web project (React / Vue / Svelte / plain): npm install page-agent Wire it up with your own LLM endpoint — never ship the demo CDN to real users : 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 , // never hardcode language : 'en-US' , }) // Show the panel for end users: agent. panel . show () // Or drive it programmatically: await agent. execute ( 'Click submit button, then fill username as John' ) Provider examples (any OpenAI-compatible endpoint works): Provider baseURL model Qwen / DashScope https://dashscope.aliyuncs.com/compatible-mode/v1 qwen3.5-plus OpenAI https://api.openai.com/v1 gpt-4o-mini Ollama (local) http://localhost:11434/v1 qwen3:14b OpenRouter https://openrouter.ai/api/v1 anthropic/claude-sonnet-4.6 Key config fields (passed to new PageAgent({...}) ): model , baseURL , apiKey — LLM connection language — UI language ( en-US , zh-CN , etc.) Allowlist and data-masking hooks exist for locking down what the agent can touch — see https://alibaba.github.io/page-agent/ for the full option list Security. Don't put your apiKey in client-side code for a real deployment — proxy LLM calls through your backend and point baseURL at your proxy. The demo CDN exists because alibaba runs that proxy for evaluation. Path 3 — clone the source repo (contributing, or hacking on it) Use this when the user wants to modify page-agent itself, test it against arbitrary sites via a local IIFE bundle, or develop the browser extension. git clone https://github.com/alibaba/page-agent.git cd page-agent npm ci # exact lockfile install (or `npm i` to allow updates) Create .env in the repo root with an LLM endpoint. Example: LLM_MODEL_NAME=gpt-4o-mini LLM_API_KEY=sk-... LLM_BASE_URL=https://api.openai.com/v1 Ollama flavor: LLM_BASE_URL=http://localhost:11434/v1 LLM_API_KEY=NA LLM_MODEL_NAME=qwen3:14b Common commands: npm start # docs/website dev server npm run build # build every package npm run dev:demo # serve IIFE bundle at http://localhost:5174/page-agent.demo.js npm run dev:ext # develop the browser extension (WXT + React) npm run build:ext # build the extension Test on any website using the local IIFE bundle. Add this bookmarklet: javascript :( function ( ){ var s= document . createElement ( 'script' );s. src = `http://localhost:5174/page-agent.demo.js?t= ${ Math .random()} ` ;s. onload = ()=> console . log ( 'PageAgent ready!' ); document . head . appendChild (s);})(); Then: npm run dev:demo , click the bookmarklet on any page, and the local build injects. Auto-rebuilds on save. Warning: your .env LLM_API_KEY is inlined into the IIFE bundle during dev builds. Don't share the bundle. Don't commit it. Don't paste the URL into Slack. (Verified: grepping the public dev bundle returns the literal values from .env .) Repo layout (Path 3) Monorepo with npm workspaces. Key packages: Package Path Purpose page-agent packages/page-agent/ Main entry with UI panel @page-agent/core packages/core/ Core agent logic, no UI @page-agent/mcp packages/mcp/ MCP server (beta) — packages/llms/ LLM client — packages/page-controller/ DOM ops + visual feedback — packages/ui/ Panel + i18n — packages/extension/ Chrome/Firefox extension — packages/website/ Docs + landing site Verifying it works After Path 1 or Path 2: Open the page in a browser with devtools open You should see a floating panel. If not, check the console for errors (most common: CORS on the LLM endpoint, wrong baseURL , or a bad API key) Type a simple instruction matching something visible on the page ("click the Login link") Watch the Network tab — you should see a request to your baseURL After Path 3: npm run dev:demo prints Accepting connections at http://localhost:5174 curl -I http://localhost:5174/page-agent.demo.js returns HTTP/1.1 200 OK with Content-Type: application/javascript Click the bookmarklet on any site; panel appears Pitfalls Demo CDN in production — don't. It's rate-limited, uses alibaba's free proxy, and their terms forbid production use. API key exposure — any key passed to new PageAgent({apiKey: ...}) ships in your JS bundle. Always proxy through your own backend for real deployments. Non-OpenAI-compatible endpoints fail silently or with cryptic errors. If your provider needs native Anthropic/Gemini formatting, use an OpenAI-compatibility proxy (LiteLLM, OpenRouter) in front. CSP blocks — sites with strict Content-Security-Policy may refuse to load the CDN script or disallow inline eval. In that case, self-host from your origin. Restart dev server after editing .env in Path 3 — Vite only reads env at startup. Node version — the repo declares ^22.13.0 || >=24 . Node 20 will fail npm ci with engine errors. npm 10 vs 11 — docs say npm 11+; npm 10.9 actually works fine. Reference Repo: https://github.com/alibaba/page-agent Docs: https://alibaba.github.io/page-agent/ License: MIT (built on browser-use's DOM processing internals, Copyright 2024 Gregor Zunic)
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