Automate browser tasks such as navigating pages, filling forms, and extracting text or links. The skill uses accessibility snapshots—structured descriptions of page elements—and references to select elements, with isolated sessions for separate browser contexts.
中文简介正在准备中。当前显示英语简介。
Headless browser automation CLI optimized for AI agents with accessibility tree snapshots and ref-based element selection
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Fast browser automation using accessibility tree snapshots with refs for deterministic element selection.
Use agent-browser when:
Use built-in browser tool when:
# 1. Navigate and snapshot
agent-browser open https://example.com
agent-browser snapshot -i --json
# 2. Parse refs from JSON, then interact
agent-browser click @e2
agent-browser fill @e3 "text"
# 3. Re-snapshot after page changes
agent-browser snapshot -i --json
agent-browser open <url>
agent-browser back | forward | reload | close
agent-browser snapshot -i --json # Interactive elements, JSON output
agent-browser snapshot -i -c -d 5 --json # + compact, depth limit
agent-browser snapshot -s "#main" -i # Scope to selector
agent-browser click @e2
agent-browser fill @e3 "text"
agent-browser type @e3 "text"
agent-browser hover @e4
agent-browser check @e5 | uncheck @e5
agent-browser select @e6 "value"
agent-browser press "Enter"
agent-browser scroll down 500
agent-browser drag @e7 @e8
agent-browser get text @e1 --json
agent-browser get html @e2 --json
agent-browser get value @e3 --json
agent-browser get attr @e4 "href" --json
agent-browser get title --json
agent-browser get url --json
agent-browser get count ".item" --json
agent-browser is visible @e2 --json
agent-browser is enabled @e3 --json
agent-browser is checked @e4 --json
agent-browser wait @e2 # Wait for element
agent-browser wait 1000 # Wait ms
agent-browser wait --text "Welcome" # Wait for text
agent-browser wait --url "**/dashboard" # Wait for URL
agent-browser wait --load networkidle # Wait for network
agent-browser wait --fn "window.ready === true"
agent-browser --session admin open site.com
agent-browser --session user open site.com
agent-browser session list
# Or via env: AGENT_BROWSER_SESSION=admin agent-browser ...
agent-browser state save auth.json # Save cookies/storage
agent-browser state load auth.json # Load (skip login)
agent-browser screenshot page.png
agent-browser screenshot --full page.png
agent-browser pdf page.pdf
agent-browser network route "**/ads/*" --abort # Block
agent-browser network route "**/api/*" --body '{"x":1}' # Mock
agent-browser network requests --filter api # View
agent-browser cookies # Get all
agent-browser cookies set name value
agent-browser storage local key # Get localStorage
agent-browser storage local set key val
agent-browser tab new https://example.com
agent-browser tab 2 # Switch to tab
agent-browser frame @e5 # Switch to iframe
agent-browser frame main # Back to main
{
"success": true,
"data": {
"snapshot": "...",
"refs": {
"e1": {"role": "heading", "name": "Example Domain"},
"e2": {"role": "button", "name": "Submit"},
"e3": {"role": "textbox", "name": "Email"}
}
}
}
-i flag - Focus on interactive elements--json - Easier to parseagent-browser wait --load networkidlestate save/load--headed for debugging - See what's happeningagent-browser open https://www.google.com
agent-browser snapshot -i --json
# AI identifies search box @e1
agent-browser fill @e1 "AI agents"
agent-browser press Enter
agent-browser wait --load networkidle
agent-browser snapshot -i --json
# AI identifies result refs
agent-browser get text @e3 --json
agent-browser get attr @e4 "href" --json
# Admin session
agent-browser --session admin open app.com
agent-browser --session admin state load admin-auth.json
agent-browser --session admin snapshot -i --json
# User session (simultaneous)
agent-browser --session user open app.com
agent-browser --session user state load user-auth.json
agent-browser --session user snapshot -i --json
npm install -g agent-browser
agent-browser install # Download Chromium
agent-browser install --with-deps # Linux: + system deps
Skill created by Yossi Elkrief (@MaTriXy)
agent-browser CLI by Vercel Labs
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中文简介正在准备中。当前显示英语简介。
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中文简介正在准备中。当前显示英语简介。
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中文简介正在准备中。当前显示英语简介。
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中文简介正在准备中。当前显示英语简介。
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中文简介正在准备中。当前显示英语简介。
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中文简介正在准备中。当前显示英语简介。