agent-browser core

SkillWeb & browsing

Agent Browser gives your AI the ability to use a web browser on your behalf. Once added, your AI can open pages, complete forms, click buttons, and capture screenshots, which is useful for checking that a website or web app behaves the way you expect.

Available today. Use it from your connected AI after setup.

Add Agent Browser, then ask your AI to visit a website and carry out a task, such as filling in a form or taking a screenshot of a page.

Then ask your AI: use the agent-browser core skill

What your AI can do with it

  • Navigate to web pages
  • Fill in forms
  • Click buttons on a page
  • Take screenshots of pages
  • Test web apps by interacting with them

What this skill tells your AI

The instructions your AI receives, as published by fcakyon/claude-codex-settings in plugins/agent-browser/skills/agent-browser/SKILL.md and read by ahel’s review.

Fast browser automation CLI for AI agents. Chrome/Chromium via CDP, no Playwright or Puppeteer dependency. Accessibility-tree snapshots with compact @eN refs let agents interact with pages in ~200-400 tokens instead of parsing raw HTML.

Most normal web tasks (navigate, read, click, fill, extract, screenshot) are covered here. Load a specialized skill when the task falls outside browser web pages — see When to load another skill.

The core loop

agent-browser open <url>        # 1. Open a page
agent-browser snapshot -i       # 2. See what's on it (interactive elements only)
agent-browser click @e3         # 3. Act on refs from the snapshot
agent-browser snapshot -i       # 4. Re-snapshot after any page change

Refs (@e1, @e2, ...) are assigned fresh on every snapshot. They become stale the moment the page changes — after clicks that navigate, form submits, dynamic re-renders, dialog opens. Always re-snapshot before your next ref interaction.

Always use your own session

Before your first command, set a named session for the whole task:

export AGENT_BROWSER_SESSION="$(agent-browser session id --scope worktree --prefix task)"

The default (unnamed) session is a single shared browser: it is shared with every other agent on the machine and it persists across conversations, so working in it can hijack another agent's page mid-task or navigate away from something the human left open. Every example below assumes a named session is active. See Run multiple browsers in parallel and references/session-management.md.

Quickstart

# Install once
npm i -g agent-browser && agent-browser install

# Linux hosts can install required browser libraries too
agent-browser install --with-deps

# Take a screenshot of a page
agent-browser open https://example.com
agent-browser screenshot home.png
agent-browser close

# Search, click a result, and capture it
agent-browser open https://duckduckgo.com
agent-browser snapshot -i                      # find the search box ref
agent-browser fill @e1 "agent-browser cli"
agent-browser press Enter
agent-browser wait --load networkidle
agent-browser snapshot -i                      # refs now reflect results
agent-browser click @e5                        # click a result
agent-browser screenshot result.png

The browser stays running across commands so these feel like a single session. By default, an inactive daemon saves configured restore state, closes its headless browser, and exits after one hour; the next command starts it again. Without --restore or another restore key, shutdown discards transient browser state and open tabs. Dashboard mouse, keyboard, and touch input count as activity. Headed browsers, Safari and iOS WebDriver sessions, and user-attached browsers are exempt from the default; provider-owned cloud browsers are not. Use --idle-timeout <time> or AGENT_BROWSER_IDLE_TIMEOUT_MS to tune the timeout, and use 0 to disable it. Still run agent-browser close (or close --all) when you're done.

MCP integration

For tools that support Model Context Protocol servers, start the stdio server:

agent-browser mcp
agent-browser mcp --tools all
agent-browser mcp --tools core,network,react

Configure the MCP client to launch agent-browser with ["mcp"]. The server defaults to MCP protocol 2025-11-25 and accepts older supported client protocol versions during initialization. The default tools profile is core, which keeps MCP context small for everyday browser automation. Use --tools all for the full typed CLI parity surface, or combine profiles with commas, such as --tools core,network,react. Profiles are core, network, state, debug, tabs, react, mobile, and all; the debug profile includes accessibility audits, plugin registry, and command.run tools. Each tool accepts typed arguments plus extraArgs for advanced CLI flags and exact CLI parity. The common allowedDomains array maps to --allowed-domains and activates the same WebRTC containment and launch-mode restrictions, while idleTimeout maps to --idle-timeout. Tool discovery is paginated and includes read-only/open-world annotations so modern MCP clients can load the large typed surface incrementally. Use the tool session argument or AGENT_BROWSER_SESSION to isolate browser sessions.

eve agent integration

For eve agents, mount the @agent-browser/eve extension instead of hand-writing browser tools. It adds namespaced tools such as browser__navigate, browser__snapshot, browser__click, browser__fill, browser__find, and browser__screenshot, all backed by agent-browser running inside the eve sandbox. The sandbox bootstrap helpers (installAgentBrowser, agentBrowserRevalidationKey) ship with the same package under @agent-browser/eve/sandbox, so agent/sandbox.ts needs no extra dependency.

Reading a page

agent-browser snapshot                    # full tree (verbose)
agent-browser snapshot -i                 # interactive elements only (preferred)
agent-browser snapshot -i -u              # include href urls on links
agent-browser snapshot -i -c              # compact (no empty structural nodes)
agent-browser snapshot -i -d 3            # cap depth at 3 levels
agent-browser snapshot -s "#main"         # scope to a CSS selector
agent-browser snapshot -i --json          # machine-readable output

Snapshot output looks like:

Page: Example - Log in
URL: https://example.com/login

@e1 [heading] "Log in"
@e2 [form]
  @e3 [input type="email"] placeholder="Email"
  @e4 [input type="password"] placeholder="Password"
  @e5 [button type="submit"] "Continue"
  @e6 [link] "Forgot password?"

For unstructured reading (no refs needed):

agent-browser read                         # read rendered active-tab DOM
agent-browser read https://docs.example.com/guide  # docs-friendly fetch, prefers markdown
agent-browser read https://docs.example.com/guide --filter auth  # one matching section
agent-browser read https://docs.example.com/guide --outline  # compact page headings
agent-browser read https://docs.example.com --llms index --filter auth  # compact llms.txt discovery
agent-browser get text @e1                # visible text of an element
agent-browser get html @e1                # innerHTML
agent-browser get attr @e1 href           # any attribute
agent-browser get value @e1               # input value
agent-browser get title                   # page title
agent-browser get url                     # current URL
agent-browser get count ".item"           # count matching elements

Use read [url] when you need to consume documentation or other text pages rather than interact with a rendered UI. Omit the URL to read the rendered DOM of the active tab in the current browser session, including browser auth state and client-side updates. Explicit URL reads send Accept: text/markdown, try the same URL with .md appended when the first response is not markdown, walk ancestor paths toward / to find the nearest llms.txt for a matching docs link, print markdown/plain text when available, and fall back to readable text extracted from HTML without launching Chrome. Add --filter <text> to narrow a page to matching heading sections, --outline for compact headings on one page, --llms index for a compact nearest-ancestor llms.txt link list, and --llms full only when you explicitly need llms-full.txt. With --llms or --require-md, omitting the URL uses the active tab URL because those modes depend on HTTP resources. With --llms or --outline, --filter <text> narrows links, sections, or headings. Add --require-md when you specifically want to verify markdown negotiation, --raw when you need the response body unchanged, and --json when you need metadata such as source and contentType. Global safeguards such as --allowed-domains, --content-boundaries, and --max-output also apply to read fetches and output.

For sessions that handle sensitive data, use --allowed-domains to restrict navigations and page-initiated network traffic. Supported Chromium sessions also disable RTCPeerConnection while the allowlist is active so WebRTC STUN, TURN, and related DNS traffic cannot bypass the HTTP filter. Dedicated and shared workers are guarded with a bootstrap wrapper; if a page CSP forbids that wrapper, the worker fails closed rather than running without the allowlist guard. Pre-existing CDP sessions, auto-connect, Chrome profiles, direct-page provider plugins, agent-browser restore or state-file replay, raw Chrome args that select profiles, restore sessions, or open startup pages, iOS, and Safari reject this option because agent-browser cannot install equivalent containment before page scripts run. This is browser-level containment, not an operating-system firewall; see Trust boundaries for deployment guidance.

Interacting

agent-browser click @e1                   # click
agent-browser click @e1 --new-tab         # open link in new tab instead of navigating
agent-browser dblclick @e1                # double-click
agent-browser hover @e1                   # hover
agent-browser focus @e1                   # focus (useful before keyboard input)
agent-browser fill @e2 "hello"            # clear then type
agent-browser type @e2 " world"           # type without clearing
agent-browser press Enter                 # press a key at current focus
agent-browser press Control+a             # key combination
agent-browser check @e3                   # check checkbox
agent-browser uncheck @e3                 # uncheck
agent-browser select @e4 "option-value"   # select dropdown option
agent-browser select @e4 "a" "b"          # select multiple
agent-browser upload @e5 file1.pdf        # upload file(s)
agent-browser scroll down 500             # scroll page (up/down/left/right)
agent-browser scrollintoview @e1          # scroll element into view
agent-browser drag @e1 @e2                # drag and drop

When refs don't work or you don't want to snapshot

Use semantic locators:

agent-browser find role button click --name "Submit"
agent-browser find role heading text --name "Skills"     # implicit roles work: <h2>=heading, <ul>=list, top-level <header>=banner
agent-browser find text "Sign In" click
agent-browser find text "Sign In" click --exact     # exact match only
agent-browser find label "Email" fill "user@test.com"
agent-browser find placeholder "Search" fill "query"
agent-browser find testid "submit-btn" click
agent-browser find first ".card" click
agent-browser find nth 2 ".card" hover

Or a raw CSS selector:

agent-browser click "#submit"
agent-browser fill "input[name=email]" "user@test.com"
agent-browser click "button.primary"

Rule of thumb: snapshot + @eN refs are fastest and most reliable for AI agents. find role/text/label is next best and doesn't require a prior snapshot. Raw CSS is a fallback when the others fail.

Waiting (read this)

Agents fail more often from bad waits than from bad selectors. Pick the right wait for the situation:

agent-browser wait @e1                     # until an element appears
agent-browser wait 2000                    # dumb wait, milliseconds (last resort)
agent-browser wait --text "Success"        # until the text appears on the page
agent-browser wait --url "**/dashboard"    # until URL matches pattern (glob)
agent-browser wait --load networkidle      # until network idle (post-navigation)
agent-browser wait --load domcontentloaded # until DOMContentLoaded
agent-browser wait --fn "window.myApp.ready === true"  # until JS condition

After any page-changing action, pick one:

  • Wait for a specific element you expect to appear: wait @ref or wait --text "...".
  • Wait for URL change: wait --url "**/new-page".
  • Wait for network idle (catch-all for SPA navigation): wait --load networkidle.

Avoid bare wait 2000 except when debugging — it makes scripts slow and flaky. Timeouts default to 25 seconds.

Common workflows

Log in

agent-browser open https://app.example.com/login
agent-browser snapshot -i

# Pick the email/password refs out of the snapshot, then:
agent-browser fill @e3 "user@example.com"
agent-browser fill @e4 "hunter2"
agent-browser click @e5
agent-browser wait --url "**/dashboard"
agent-browser snapshot -i

Credentials in shell history are a leak. For anything sensitive, use the auth vault (see references/authentication.md):

agent-browser auth save my-app --url https://app.example.com/login \
  --username user@example.com --password-stdin
# (type password, Ctrl+D)

agent-browser auth login my-app    # fills + clicks, waits for form

If credentials live in an external vault, use a configured credential provider plugin instead of putting secrets in the command line:

agent-browser plugin add agent-browser-plugin-vault --name vault
agent-browser plugin list
agent-browser auth login my-app --credential-provider vault --item "My App"
agent-browser auth login my-app --credential-provider vault --item "My App" --url https://app.example.com/login --username-selector "#email" --password-selector "#password"

Plugins can also provide browser providers, launch mutators such as stealth setup, and arbitrary namespaced commands:

agent-browser --provider cloud-browser open https://example.com
agent-browser plugin run captcha captcha.solve --payload '{"siteKey":"...","url":"https://example.com"}'

plugin run is for command.run and custom capabilities. Core capabilities and protocol request types use their dedicated command paths.

Persist session across runs

# Derive one stable id for this agent/worktree
SESSION="$(agent-browser session id --scope worktree --prefix my-app)"

# Pass the same id and restore request on every command
agent-browser --session "$SESSION" --restore open https://app.example.com

--restore with no value uses the current --session as the persistence key. Agent skills should prefer this over hand-built state file paths. Use --restore-save auto by default so a failed restore does not overwrite the previous known-good state. State is saved on close and also periodically while the browser is open (at most once per AGENT_BROWSER_AUTOSAVE_INTERVAL_MS, default 30000), so state survives even if the user closes the browser window by hand.

agent-browser --session "$SESSION" --restore --restore-check-text Dashboard open https://app.example.com
agent-browser --session "$SESSION" session info --json

Extract data

# Structured snapshot (best for AI reasoning over page content)
agent-browser snapshot -i --json > page.json

# Targeted extraction with refs
agent-browser snapshot -i
agent-browser get text @e5
agent-browser get attr @e10 href

# Arbitrary shape via JavaScript
cat <<'EOF' | agent-browser eval --stdin
const rows = document.querySelectorAll("table tbody tr");
Array.from(rows).map(r => ({
  name: r.cells[0].innerText,
  price: r.cells[1].innerText,
}));
EOF

Prefer eval --stdin (heredoc) or eval -b <base64> for any JS with quotes or special characters. Inline agent-browser eval "..." works only for simple expressions.

Screenshot

agent-browser screenshot                        # temp path, printed on stdout
agent-browser screenshot page.png               # specific path
agent-browser screenshot --full full.png        # full scroll height
agent-browser screenshot --annotate map.png     # numbered labels + legend keyed to snapshot refs

Headless Chromium screenshots hide native scrollbars for consistent image output. Pass --hide-scrollbars false when launching to keep native scrollbars visible.

--annotate is designed for multimodal models: each label [N] maps to ref @eN.

Handle multiple pages via tabs

agent-browser tab                      # list open tabs (with stable tabId)
agent-browser tab new https://docs...  # open a new tab (and switch to it)
agent-browser tab t2                   # switch to tab t2
agent-browser tab close t2             # close tab t2

Stable tabIds mean t2 points at the same tab across commands even when other tabs open or close. After switching, refs from a prior snapshot on a different tab no longer apply — re-snapshot. tab list --json also reports each tab's CDP targetId, accepted anywhere a tab ref is accepted; target ids stay stable across daemon restarts, unlike t<N> ids.

Tabs opened through tab new or click --new-tab inherit the session's user agent, headers, HTTP credentials, init scripts, routes, and emulation overrides before their first document loads.

Runtime init-script identifiers are session-wide. Removing one clears it from every open tab where it was registered and from the setup replayed into future tabs.

Switching has two special cases worth knowing:

  • Discarded tab (Chrome Memory Saver). A backgrounded tab may have its renderer dropped. Switching to it reactivates the tab, which reloads the page and discards unsaved state (form input, scroll position). The switch result then includes "revived": true, so treat prior in-page state as gone and re-snapshot. Closing the active tab onto a discarded successor reports "activeTabRevived": true for the same reason.
  • Tab blocked by a dialog. If the target tab has an open dialog (confirm/prompt, or alert/beforeunload under --no-auto-dialog) its renderer is paused, not discarded, so the switch leaves it untouched and reports "dialogBlocked": true. Resolve the dialog with dialog accept/dialog dismiss before interacting with the page.

Run multiple browsers in parallel

Each --session <name> is an isolated browser with its own cookies, tabs, and refs. For agent skills, derive stable names with agent-browser session id --scope worktree --prefix <skill>. Useful for testing multi-user flows or parallel scraping:

agent-browser --session a open https://app.example.com
agent-browser --session b open https://app.example.com
agent-browser --session a fill @e1 "alice@test.com"
agent-browser --session b fill @e1 "bob@test.com"

AGENT_BROWSER_SESSION=myapp sets the default session for the current shell.

When several sessions share one Chrome over --cdp <port>, add --pin-tab so each session sticks to its own tab. Every session remembers its bound tab across daemon restarts; with --pin-tab a command whose bound tab was closed fails with a tab_gone error instead of acting on another session's tab. JSON output includes "code": "tab_gone", data.targetId, and an optional sanitized data.lastUrl for recovery. Recover with tab new <url> or pick a tab from tab list. The flag is sticky per session, so pass it once (--no-pin-tab turns it off again). See references/session-management.md for details.

Mock network requests

agent-browser network route "**/api/users" --body '{"users":[]}'   # stub a response
agent-browser network route "**/analytics" --abort                 # block entirely
agent-browser network requests                                     # inspect what fired
agent-browser network har start                                    # record all traffic
# ... perform actions ...
agent-browser network har stop /tmp/trace.har

# HAR files embed text response bodies (JSON/HTML/JS) by default, so the
# recording alone is enough to study a site's API offline. Use
# `--content all` to include binary bodies or `--content none` to disable.

Record a video of the workflow

agent-browser open https://example.com
agent-browser record start demo.webm          # 30 fps by default; .webm or .mp4
agent-browser snapshot -i
agent-browser click @e3
agent-browser record stop

record start attaches to the active tab as-is (no new context, no navigation unless you pass a URL). To record in a separate tab, run tab new <url> first. Recording needs ffmpeg on PATH (brew install ffmpeg / apt install ffmpeg); agent-browser doctor checks for it. Pass --fps 60 for motion-heavy takes (drag, animation, scroll work) or a lower rate for long sessions; --fps accepts 1 to 60.

See references/video-recording.md for frame rate guidance, codec options, and more.

Iframes

Iframes are auto-inlined in the snapshot — their refs work transparently:

agent-browser snapshot -i
# @e3 [Iframe] "payment-frame"
#   @e4 [input] "Card number"
#   @e5 [button] "Pay"

agent-browser fill @e4 "4111111111111111"
agent-browser click @e5

To scope a snapshot to an iframe (for focus or deep nesting):

agent-browser frame @e3      # switch context to the iframe
agent-browser snapshot -i
agent-browser frame main     # back to main frame

Dialogs

alert and beforeunload are auto-accepted so agents never block. For confirm and prompt:

agent-browser dialog status          # is there a pending dialog?
agent-browser dialog accept           # accept
agent-browser dialog accept "text"    # accept with prompt input
agent-browser dialog dismiss          # cancel

Diagnosing install issues

On Windows, locally launched headless Chrome uses a private desktop to prevent visible desktop rectangles in affected Chromium versions. Browser automation, screenshots, and GPU rendering remain available through CDP. Use --headed when the browser needs to be visible; sessions with extensions also use the interactive desktop. The daemon owns its Chrome process tree and Windows terminates that tree even if the daemon is forcibly killed. Browsers attached through --cdp or --auto-connect remain externally owned.

If a command fails unexpectedly (Unknown command, Failed to connect, stale daemons, version mismatches after upgrade, missing Chrome, etc.) run doctor before anything else:

agent-browser doctor                     # full diagnosis (env, Chrome, daemons, config, providers, network, launch test)
agent-browser doctor --offline --quick   # fast, local-only
agent-browser doctor --fix               # also run destructive repairs (reinstall Chrome, purge old state, ...)
agent-browser doctor --json              # structured output for programmatic consumption

doctor auto-cleans stale socket/pid/version sidecar files on every run. Destructive actions require --fix. Exit code is 0 if all checks pass (warnings OK), 1 if any fail.

Troubleshooting

"Ref not found" / "Element not found: @eN" Page changed since the snapshot. Run agent-browser snapshot -i again, then use the new refs.

Element exists in the DOM but not in the snapshot It's probably off-screen or not yet rendered. Try:

agent-browser scroll down 1000
agent-browser snapshot -i
# or
agent-browser wait --text "..."
agent-browser snapshot -i

Click does nothing / overlay swallows the click Some modals and cookie banners block other clicks. If click reports covered by <...>, interact with that covering element first. Otherwise, snapshot, find the dismiss/close button, click it, then re-snapshot.

Fill / type doesn't work Some custom input components intercept key events. Try:

agent-browser focus @e1
agent-browser keyboard inserttext "text"    # bypasses key events
# or
agent-browser keyboard type "text"          # raw keystrokes, no selector

Page needs JS you can't get right in one shot Use eval --stdin with a heredoc instead of inline:

cat <<'EOF' | agent-browser eval --stdin
// Complex script with quotes, backticks, whatever
document.querySelectorAll('[data-id]').length
EOF

Shortened here. Read the whole file on GitHub.

Signals

GitHub stars
1k
Forks
110
Last commit
Sep 2026
Hacker News mentions
9

ahel review

  • K1binfo
    installs-packages
  • K1binfo
    installs-packages (in references/video-recording.md)
  • K1binfo
    installs-packages (in references/webgpu.md)

Automated review, not a security audit. Ruleset v1+k2.

Others that do the same job

Advanced
Item type
skill
Key
agent-browser-fcakyon
Source
github.com/fcakyon/claude-codex-settings