* docs: deep audit — fix stale config keys, missing commands, and registry drift Cross-checked ~80 high-impact docs pages (getting-started, reference, top-level user-guide, user-guide/features) against the live registries: hermes_cli/commands.py COMMAND_REGISTRY (slash commands) hermes_cli/auth.py PROVIDER_REGISTRY (providers) hermes_cli/config.py DEFAULT_CONFIG (config keys) toolsets.py TOOLSETS (toolsets) tools/registry.py get_all_tool_names() (tools) python -m hermes_cli.main <subcmd> --help (CLI args) reference/ - cli-commands.md: drop duplicate hermes fallback row + duplicate section, add stepfun/lmstudio to --provider enum, expand auth/mcp/curator subcommand lists to match --help output (status/logout/spotify, login, archive/prune/ list-archived). - slash-commands.md: add missing /sessions and /reload-skills entries + correct the cross-platform Notes line. - tools-reference.md: drop bogus '68 tools' headline, drop fictional 'browser-cdp toolset' (these tools live in 'browser' and are runtime-gated), add missing 'kanban' and 'video' toolset sections, fix MCP example to use the real mcp_<server>_<tool> prefix. - toolsets-reference.md: list browser_cdp/browser_dialog inside the 'browser' row, add missing 'kanban' and 'video' toolset rows, drop the stale '38 tools' count for hermes-cli. - profile-commands.md: add missing install/update/info subcommands, document fish completion. - environment-variables.md: dedupe GMI_API_KEY/GMI_BASE_URL rows (kept the one with the correct gmi-serving.com default). - faq.md: Anthropic/Google/OpenAI examples — direct providers exist (not just via OpenRouter), refresh the OpenAI model list. getting-started/ - installation.md: PortableGit (not MinGit) is what the Windows installer fetches; document the 32-bit MinGit fallback. - installation.md / termux.md: installer prefers .[termux-all] then falls back to .[termux]. - nix-setup.md: Python 3.12 (not 3.11), Node.js 22 (not 20); fix invalid 'nix flake update --flake' invocation. - updating.md: 'hermes backup restore --state pre-update' doesn't exist — point at the snapshot/quick-snapshot flow; correct config key 'updates.pre_update_backup' (was 'update.backup'). user-guide/ - configuration.md: api_max_retries default 3 (not 2); display.runtime_footer is the real key (not display.runtime_metadata_footer); checkpoints defaults enabled=false / max_snapshots=20 (not true / 50). - configuring-models.md: 'hermes model list' / 'hermes model set ...' don't exist — hermes model is interactive only. - tui.md: busy_indicator -> tui_status_indicator with values kaomoji|emoji|unicode|ascii (not kawaii|minimal|dots|wings|none). - security.md: SSH backend keys (TERMINAL_SSH_HOST/USER/KEY) live in .env, not config.yaml. - windows-wsl-quickstart.md: there is no 'hermes api' subcommand — the OpenAI-compatible API server runs inside hermes gateway. user-guide/features/ - computer-use.md: approvals.mode (not security.approval_level); fix broken ./browser-use.md link to ./browser.md. - fallback-providers.md: top-level fallback_providers (not model.fallback_providers); the picker is subcommand-based, not modal. - api-server.md: API_SERVER_* are env vars — write to per-profile .env, not 'hermes config set' which targets YAML. - web-search.md: drop web_crawl as a registered tool (it isn't); deep-crawl modes are exposed through web_extract. - kanban.md: failure_limit default is 2, not '~5'. - plugins.md: drop hard-coded '33 providers' count. - honcho.md: fix unclosed quote in echo HONCHO_API_KEY snippet; document that 'hermes honcho' subcommand is gated on memory.provider=honcho; reconcile subcommand list with actual --help output. - memory-providers.md: legacy 'hermes honcho setup' redirect documented. Verified via 'npm run build' — site builds cleanly; broken-link count went from 149 to 146 (no regressions, fixed a few in passing). * docs: round 2 audit fixes + regenerate skill catalogs Follow-up to the previous commit on this branch: Round 2 manual fixes: - quickstart.md: KIMI_CODING_API_KEY mentioned alongside KIMI_API_KEY; voice-mode and ACP install commands rewritten — bare 'pip install ...' doesn't work for curl-installed setups (no pip on PATH, not in repo dir); replaced with 'cd ~/.hermes/hermes-agent && uv pip install -e ".[voice]"'. ACP already ships in [all] so the curl install includes it. - cli.md / configuration.md: 'auxiliary.compression.model' shown as 'google/gemini-3-flash-preview' (the doc's own claimed default); actual default is empty (= use main model). Reworded as 'leave empty (default) or pin a cheap model'. - built-in-plugins.md: added the bundled 'kanban/dashboard' plugin row that was missing from the table. Regenerated skill catalogs: - ran website/scripts/generate-skill-docs.py to refresh all 163 per-skill pages and both reference catalogs (skills-catalog.md, optional-skills-catalog.md). This adds the entries that were genuinely missing — productivity/teams-meeting-pipeline (bundled), optional/finance/* (entire category — 7 skills: 3-statement-model, comps-analysis, dcf-model, excel-author, lbo-model, merger-model, pptx-author), creative/hyperframes, creative/kanban-video-orchestrator, devops/watchers, productivity/shop-app, research/searxng-search, apple/macos-computer-use — and rewrites every other per-skill page from the current SKILL.md. Most diffs are tiny (one line of refreshed metadata). Validation: - 'npm run build' succeeded. - Broken-link count moved 146 -> 155 — the +9 are zh-Hans translation shells that lag every newly-added skill page (pre-existing pattern). No regressions on any en/ page.
9.7 KiB
| title | sidebar_label | description |
|---|---|---|
| Page Agent | Page Agent | Embed alibaba/page-agent into your own web application — a pure-JavaScript in-page GUI agent that ships as a single <script> tag or npm package and lets end-... |
{/* This page is auto-generated from the skill's SKILL.md by website/scripts/generate-skill-docs.py. Edit the source SKILL.md, not this page. */}
Page Agent
Embed alibaba/page-agent into your own web application — a pure-JavaScript in-page GUI agent that ships as a single <script> tag or npm package and lets end-users of your site drive the UI with natural language ("click login, fill username as John"). No Python, no headless browser, no extension required. Use this skill when the user is a web developer who wants to add an AI copilot to their SaaS / admin panel / B2B tool, make a legacy web app accessible via natural language, or evaluate page-agent against a local (Ollama) or cloud (Qwen / OpenAI / OpenRouter) LLM. NOT for server-side browser automation — point those users to Hermes' built-in browser tool instead.
Skill metadata
| Source | Optional — install with hermes skills install official/web-development/page-agent |
| Path | optional-skills/web-development/page-agent |
| Version | 1.0.0 |
| Author | Hermes Agent |
| License | MIT |
| Platforms | linux, macos, windows |
| Tags | web, javascript, agent, browser, gui, alibaba, embed, copilot, saas |
Reference: full SKILL.md
:::info The following is the complete skill definition that Hermes loads when this skill is triggered. This is what the agent sees as instructions when the skill is active. :::
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 connectionlanguage— 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:demoprintsAccepting connections at http://localhost:5174curl -I http://localhost:5174/page-agent.demo.jsreturnsHTTP/1.1 200 OKwithContent-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
.envin Path 3 — Vite only reads env at startup. - Node version — the repo declares
^22.13.0 || >=24. Node 20 will failnpm ciwith 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)