ghostchrome

Ultra-light browser automation CLI for LLM agents. Single Go binary, native Chrome DevTools Protocol, 3-4× fewer tokens than Playwright-MCP, no Node runtime. A modern Playwright alternative built for AI agents that drive a browser in a loop.

$ ghostchrome preview http://localhost:3000
[200] Dashboard — http://localhost:3000 (134ms)
[errors] none
[network] 12 reqs, 0 failed
[dom]
  h1 Dashboard
  @1 b Add user
  table 5 rows
  @2 a>/settings Settings

One command. ~50 ms warm. ~2,000 tokens. Refs (@1, @2) you can click and type into next.

Why ghostchrome

LLM-driven browser automation has a token problem. Playwright-MCP returns a full accessibility tree on every snapshot — typically 14,000-50,000 tokens for a real-world page — which burns the agent's context window and slows every iteration. ghostchrome was built to fix that one thing: return the smallest possible payload that an LLM still needs to act, in a single static Go binary that boots in milliseconds.

Designed for AI agents that drive a browser via Claude Code, the Anthropic Agent SDK, Aider, Cursor, OpenAI's Agents SDK, or any custom loop. Use it as a Playwright alternative for headless Chrome web scraping, as a CDP CLI for ops automation, or as the browsing tool behind a custom agent. No JSON-RPC overhead, no Node runtime, no npm install. Just ghostchrome <command> <url> and read the output.

What you get:

Filtered accessibility tree — only interactive elements get refs (@1, @2), 3-5× fewer nodes than a full a11y dump.
Three extraction levels — skeleton (minimal), content (text), full (everything named).
Auto-launch or attach — every command can spawn a temporary Chrome or attach to an existing session via --connect=auto.
CDP-native — built on Rod, so iframe handling, stealth patches, and event capture work out of the box.
Single 24 MB binary — no Node.js, no npm install, no Playwright browsers download.

Benchmark

Reproducible head-to-head against @playwright/mcp on 5 local HTML fixtures + real public sites. Run it yourself:

./benchmark/run-bench.sh                 # cold-spawn mode (default)
BENCH_MODE=warm ./benchmark/run-bench.sh # long-lived session (real agent loop)

Warm session — the real LLM-agent loop

Both tools keep one process alive across navigate+snapshot calls. This is what your agent actually does.

Site	ghostchrome tokens	pw-mcp tokens	ghostchrome ms	pw-mcp ms
dashboard (CRUD table)	549	2,746	50	64
product page	390	1,456	45	55
news feed	851	2,242	40	51
search results	1,224	2,421	60	73
Hacker News (live)	3,416	14,564	660	1,023
Overall	6,832	24,961	1,020 ms	1,660 ms

→ 3.65× fewer tokens, 1.63× faster per snapshot. Full table: benchmark/results-warm.md.

Cold spawn — every invocation starts fresh

Apples-to-apples wall time of process start → Chrome attach → navigate → snapshot → exit for both tools. Chrome startup dominates and ghostchrome is ~10% slower here — which is why you should use warm session (above) for any agent workload.

→ 3.5× fewer tokens, 0.91× as fast overall (cold). Full table: benchmark/results.md.

Binary & footprint

	ghostchrome	Playwright-MCP
Runtime	Static Go binary	Node.js
Install size	~24 MB	~80 MB Node + ~250 MB Playwright + browsers
Cold boot	<1s	2-5s (npx + Playwright init)
Dependencies	Chrome on the system or auto-downloaded by Rod	npm install + `npx playwright install`
Protocol	CLI stdin/stdout, optional MCP server	MCP (JSON-RPC over stdio)

Token estimates assume ceil(bytes/4), the standard rule-of-thumb for BPE tokenizers. Numbers above are medians of 2-3 trials on Linux x86_64, Chromium 131, May 2026.

Install

Quick install (macOS & Linux)

curl -fsSL https://raw.githubusercontent.com/MakFly/ghostchrome/main/install.sh | sh

Go

go install github.com/MakFly/ghostchrome@latest

Manual

Prebuilt binaries for macOS (Intel/ARM), Linux (amd64/arm64), and Windows on the Releases page.

Requirements

Chrome or Chromium installed. If none is found, Rod auto-downloads a compatible Chromium to ~/.cache/rod/ on first run.

Quickstart

See a page

ghostchrome preview https://example.com

Single command returns status code, page title, console + network errors, request count, and a compact DOM with refs. The first call an agent makes to a new URL.

Extract a clickable DOM

ghostchrome extract https://news.ycombinator.com --level content

Compact accessibility tree with refs (@1, @2, …). Three levels: skeleton (interactive only), content (adds text), full (everything named).

Drive the page

# Each command can navigate first, then act, then return the new snapshot.
ghostchrome click @3 https://example.com/login
ghostchrome type  @1 "alice@example.com" https://example.com/login
ghostchrome press Enter https://example.com/login

Refs come from the previous snapshot. The browser session is preserved when you use --connect=auto (recommended).

Long-lived session

# Terminal 1
ghostchrome serve --port 9222
# → ws://127.0.0.1:9222/devtools/browser/<uuid>

# Terminal 2 (or your agent)
ghostchrome preview https://example.com --connect=auto
ghostchrome click   @1                  --connect=auto
ghostchrome extract                     --connect=auto --level content

--connect=auto discovers a serve instance on 127.0.0.1:9222-9229 automatically. Per-call latency drops to ~50 ms.

Debug a page

ghostchrome errors https://your-site.test --level all

Captures Runtime.consoleAPICalled + Runtime.exceptionThrown + Log.entryAdded (CORS, CSP, mixed content, network ERR_*) + every HTTP 4xx/5xx — all in one snapshot.

How it works

your agent → ghostchrome CLI → Rod (Go) → Chrome DevTools Protocol → Chrome

CDP Accessibility tree is fetched and filtered: only nodes that are interactive (or named ancestors) are kept. Everything is compressed into one indented text format with @N refs.
Three extraction levels let an agent ask for exactly the granularity it needs. Most agent loops stay at content.
Refs are stable within a snapshot and replayed on the next command via element-state cache, so click @3 works without a new selector.
Output is text first — no JSON wrapping unless you ask for --json. The agent reads what a human would read in DevTools.
Background tab mode (--connect=auto) reuses an existing Chrome session in an isolated tab, so multiple agents can share one browser without colliding.

Architecture deep dive: docs/architecture.md. Full CLI reference: docs/cli.md. MCP server (11 tools): docs/mcp.md. Anti-bot story: docs/anti-bot.md. Fast HTTP path: docs/fast-path.md.

Comparison

	ghostchrome	Playwright-MCP	Playwright (raw)	Puppeteer	chromedp
Target	LLM agents	LLM agents (MCP)	Devs / QA	Devs	Devs (Go)
Runtime	Go binary	Node.js	Node.js	Node.js	Go binary
Install size	~24 MB	~330 MB	~330 MB	~280 MB	~20 MB
Snapshot tokens (median)	~1,500	~5,500	n/a (raw HTML)	n/a	n/a
Snapshot latency (warm)	~50 ms	~80 ms	n/a	n/a	n/a
Multi-browser	Chrome only	Chrome / FF / WebKit	Chrome / FF / WebKit	Chrome / FF	Chrome only
Refs for click/type	`@1`, `@2`	aria-ref strings	CSS / XPath	CSS / XPath	CSS / XPath
Auto-wait	yes (4 conditions)	yes	yes (battle-tested)	yes	partial
Trace viewer	format-compatible (planned)	yes	yes	no	no
Stealth	built-in patches	external plugin	external plugin	external plugin	manual

Pick ghostchrome if you're piloting a browser from an LLM and tokens / latency / footprint matter. Pick Playwright if you're writing E2E test suites or need WebKit/Firefox parity.

Using it with LLM agents

ghostchrome exposes its 11 essential browser tools as an MCP stdio server (ghostchrome mcp) and as the regular CLI (allowlist ghostchrome for shell-tool agents). One binary, two surfaces, same engine.

Claude Code (Anthropic)

claude mcp add ghostchrome -- ghostchrome mcp --stealth

That's it. Claude Code will spawn ghostchrome mcp in stdio mode on demand and route the 11 tools to the model.

Codex (OpenAI)

codex mcp add ghostchrome -- ghostchrome mcp --stealth

MCP tool surface (v1.0)

Deliberately small — 11 tools, no fat. Each one was kept because it's on the hot path of a browser-driving loop.

Tool	Purpose
`snapshot`	Status + errors + network + DOM with refs — canonical first call
`navigate`	Go to URL without snapshot
`click`	Click `@ref`
`type`	Type into `@ref` (`submit:true` to press Enter after)
`select`	Pick option in `<select>` by `@ref`
`press`	Send key (Enter, Tab, Escape, ArrowDown, ...)
`wait_for`	Wait for selector / text / timeout
`eval`	Run JS — escape hatch for anything else
`screenshot`	WebP/JPEG/PNG of viewport, full page, or element
`back` / `forward`	Browser history

Niche workflows (cookies, storage, tabs, viewport, network sniff/replay, tracing) live in the CLI only. Reach them via eval or shell out when needed.

Custom Python loop

import subprocess, json
def snapshot(url):
    r = subprocess.run(
        ["ghostchrome", "preview", url, "--connect=auto", "--json"],
        capture_output=True, text=True, check=True,
    )
    return json.loads(r.stdout)

Aider / Cursor / any agent with shell access

Use ghostchrome as a regular shell command. Prefix calls with --connect=auto after running ghostchrome serve once per session.

Recipes: docs/recipes/ — Algolia, AutoScout24, bulk scrape, registry sweep, agent JSONL mode.

Command reference

Click to expand the full command surface

Page inspection
  preview <url>                 Page health: status, errors, network, DOM
  navigate <url>                Navigate; optionally extract
  extract  <url>                Compact accessibility tree with refs
  screenshot <url>              PNG of viewport, full page, or element
  eval "<expr>" <url>           Run JS, await async, return value
  errors <url>                  Console + Log + network 4xx/5xx
  perf <url>                    Lighthouse-lite timing summary

Interaction (refs from the last snapshot)
  click @N <url>
  type @N "text" <url>
  select @N "option" <url>
  hover @N <url>
  press <key> [--on @N] <url>

Browser & session
  serve [--port N]              Long-lived Chrome; prints ws:// URL
  back / forward
  waitfor "selector" <url>
  import-profile / export-profile

Scraping & bulk
  batch <jsonl>                 Run agent ops from a JSONL file
  fastfetch <url>               HTML-only fast path, no JS render
  collect <url>                 Observer stream (NDJSON of net+console+page events)

Agents
  agent <jsonl>                 Drive the browser from a JSONL recipe
  mcp [--stdio]                 Run as an MCP server (stdio or socket)

Full details: docs/cli.md.

Status & roadmap

Stable — preview, navigate, extract, click/type/select/hover/press, errors, screenshot, eval, serve, --connect=auto, MCP server.

Experimental — stealth patches, agent JSONL mode, AI extractors. Tracked behind flags; APIs may change.

Not in scope (yet) — Firefox/WebKit support (would arrive via a playwright-core subprocess fallback, not native), GUI test runner, visual regression diff.

Versioning follows SemVer; see .claude/rules/versioning.md.

Contributing

PRs welcome. The codebase is small and laid out in engine/ (CDP logic) and cmd/ (one Cobra command per file). Run tests with go test ./.... Bench changes should include a re-run of ./benchmark/run-bench.sh so reviewers can verify the numbers don't regress.

When the CLI surface changes, mirror it in the sibling SDK at ../ghostchrome-sdk (Node, Python, PHP) — see CLAUDE.md.

Name		Name	Last commit message	Last commit date
Latest commit History 85 Commits
.claude		.claude
.github/workflows		.github/workflows
benchmark		benchmark
cmd		cmd
docs		docs
engine		engine
packages		packages
.gitignore		.gitignore
.ignore		.ignore
AGENTS.md		AGENTS.md
CLAUDE.md		CLAUDE.md
LICENSE		LICENSE
README.md		README.md
go.mod		go.mod
go.sum		go.sum
install.sh		install.sh
main.go		main.go

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ghostchrome

Table of contents

Why ghostchrome

Benchmark

Warm session — the real LLM-agent loop

Cold spawn — every invocation starts fresh

Binary & footprint

Install

Quick install (macOS & Linux)

Go

Manual

Requirements

Quickstart

See a page

Extract a clickable DOM

Drive the page

Long-lived session

Debug a page

How it works

Comparison

Using it with LLM agents

Claude Code (Anthropic)

Codex (OpenAI)

MCP tool surface (v1.0)

Custom Python loop

Aider / Cursor / any agent with shell access

Command reference

Status & roadmap

Contributing

License

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