Moli

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Moli is a production-ready headless browser for AI agents. Its on-demand layout and rendering design combines a complete browser runtime with a lightweight resource footprint.

Moli helps your AI agent fetch and extract web pages, search the web, and automate browser tasks.

Use it through the CLI, CDP, WebDriver Classic, or WebDriver BiDi.

Moli supports Linux, macOS, and Windows.

Quick start

Give this prompt to your AI agent:

Install the skills under https://github.com/lexmount/moli/tree/main/skills,
follow their instructions to download and install the latest prebuilt Moli
binary, then use moli-webfetch to fetch https://example.com and show me the
result.

Direct installation

On Linux or macOS:

curl --proto '=https' --tlsv1.2 -fsSL \
  https://github.com/lexmount/moli/releases/latest/download/moli-installer.sh | sh

On Windows, run in PowerShell:

powershell -ExecutionPolicy ByPass -c "irm https://github.com/lexmount/moli/releases/latest/download/moli-installer.ps1 | iex"

Showcase

_{An HTML5 game rendered by Moli and inspected live through Chrome DevTools.}

_{rust-lang.org rendered by Moli, with its live DOM, CSS, and geometry available in Chrome DevTools.}

CLI usage

Extract a page

Render the page as Markdown with Moli's default completion strategy:

moli fetch \
  --dump markdown \
  --wait-until done \
  https://example.com

Or directly return a compact, model-friendly semantic tree:

moli fetch \
  --dump semantic_tree_text \
  --wait-selector body \
  https://example.com

For visual output, enable on-demand layout and write a viewport PNG, a full-document PNG, or a paginated PDF:

moli fetch --layout --dump screenshot https://example.com > page.png
moli fetch --layout --dump screenshot_full https://example.com > full-page.png
moli fetch --layout --dump pdf https://example.com > page.pdf

Run fetch --help for the complete option list, including output formats, page-load/response waits, profiles, proxy settings, resource policies, and tracing options.

Start the automation server

# Basic automation server for DOM-first workloads
moli serve

# Enable real geometry, coordinate input, and screenshot/screencast surfaces
moli serve --layout

# Also fetch optional image, font, audio, video, media, and text-track resources
moli serve --layout --resource

The same endpoint serves all three protocols: CDP, WebDriver Classic, and WebDriver BiDi. Playwright can connect directly over CDP:

import { chromium } from "playwright";

const browser = await chromium.connectOverCDP("http://127.0.0.1:9222");
const context = browser.contexts()[0];
const page = context.pages()[0] ?? await context.newPage();

await page.goto("https://example.com");
console.log(await page.locator("body").innerText());

await browser.close();

Why Moli

Three qualities matter most for agent workloads, and Moli brings them together:

• Full-featured — real JavaScript, DOM, CSS, networking, storage, layout, screenshots, and standard automation protocols, all integrated into one headless browser.
• Fast — most automation requests never need visual rendering, so structure-first operations skip layout and paint entirely.
• Resource-efficient — layout and pixels are generated only when needed, so Moli does not have to continuously maintain and update a fully rendered visual state.

What most browser automation tasks actually need is page structure, not a continuously rendered visual world. Moli treats the native DOM and style state as the single source of truth, triggering layout or software paint only for operations that genuinely require them.

Moli still includes the complete set of capabilities: V8, CSS, layout, text shaping, hit-testing, software paint, and more. The only difference is when visual work runs and how long its results are retained. This cost model is especially well suited to crawling, browser-use agents, retrieval pipelines, evaluation environments, and reinforcement-learning workloads.

Current capabilities

• Complete web runtime — streaming HTML parsing, native DOM, V8 JavaScript, modules/timers/microtasks/events, iframes and workers, CSS cascade, Fetch/XHR/WebSocket, cookies, WebCrypto, and profile-scoped storage (localStorage, IndexedDB, OPFS).
• Extraction-optimized outputs — the CLI directly produces HTML, Markdown, JSON, semantic text trees, and frame-aware serialization, with selector/script/response waits and network tracing.
• Unified automation binary — CDP, WebDriver Classic, and WebDriver BiDi share the same kernel and scheduler. No separate ChromeDriver, geckodriver, or browser installation is required.
• Real visual capabilities on demand — add --layout to enable complete box construction, Taffy layout, Parley text layout, layout-backed hit-testing/input, viewport screenshots, and low-frequency CPU-rendered DevTools screencast frames.
• Controllable operational options — profiles, cookies, HTTP cache, proxies, resource families, connection limits, timeouts, private-network policy, user-agent overrides, diagnostic logging, and network diagnostics are all available.

Moli's relationship with Lexmount

Moli is Lexmount's open-source headless browser; Lexmount Browser is the managed cloud runtime and control plane built around it.

The open-source headless browser is fully usable without Lexmount Browser.

Cost controls

Expensive browser operations in Moli require an explicit opt-in and are never enabled by default:

Layout is an on-demand snapshot rather than continuously maintained state. The first geometry request (a cold start) builds a working layout tree from the current DOM/style, freezes its canonical geometry into an immutable, DOM-independent FrozenLayoutTree, and retains only that latest tree. Ordinary geometry reads may reuse it even if the page has changed. Screenshots always rebuild and replace the frozen tree. Each screencast subscription remembers only an opaque visual-state token: an unchanged token suppresses the poll, while a changed token triggers one fresh frame. Paint results are never reused.

Architecture

Moli is a standalone browser kernel, not a Chromium wrapper. It is built in Rust, has its own ownership and lifecycle rules, and relies on:

• libcurl — network transport and multi-request runtime
• html5ever — HTML parsing
• rusty_v8 / V8 — JavaScript execution
• Servo/Stylo — selectors, cascade, computed style
• Taffy + Parley — box and text layout
• AnyRender/Vello CPU, usvg, and the Rust image ecosystem — software rendering

Document and style have a single source of truth: the native DOM and its Stylo integration. Every real refresh builds a temporary working tree from that source, optionally produces and consumes one fresh paint snapshot, freezes the canonical box/fragment geometry into a compact FrozenLayoutTree, and discards the working tree, style borrows, layout caches, diagnostics, and paint state. Screencast tokens contain generation metadata, never layout or paint data. Source lookup and hit-test candidates are derived from the frozen tree when queried. The system has no incrementally maintained layout tree, damage graph, retained display list, GPU compositor, or persistent window.

Benchmark

The following measurements show Moli's current capability envelope. They cover real websites, automation clients, Chromium/WPT behavior checks, and a large nextest regression suite.

Mixed public-web crawl test

The test covers 192 public URLs from major Chinese and international sites. A page only counts as successful if it produces meaningful content after JavaScript runs — an HTTP 200, challenge page, login wall, empty response, or shell-only application does not count.

Sample agent workload

WPT tests

In the current WPT selection used to validate Moli's agent-browser scope, one full run passed 1.612 million tests.

Moli's performance in Lexbench-Headless-Browser

The full Lexbench-Headless-Browser corpus contains 1,928 tasks covering raw CDP, 13 pinned automation tools including Playwright, Puppeteer and Selenium, and web-platform semantics. To include Kitesurf, which is only available as a remote endpoint, the chart below uses 1,308 comparable tasks. All browsers use the same task selection rules.

Moli 0.1.1 passed 1,071 tasks, a success rate of 81.88%, ahead of Kitesurf at 62.08%, Lightpanda at 53.29%, and Obscura at 44.88%; Chrome, the reference engine, reached 99.85%. Kitesurf ran at k=1, uncovered tasks count as not passed, and the reproduction conditions of a remote service differ from those of local binaries. See the benchmark's five-engine report for the full results.

Kitesurf is a remote service, so its CPU, memory, and process counts cannot be measured. The resource comparison therefore covers only the four local engines. A separate 557-task run includes only work completed by all four. Moli's median CPU time per task was 100.6 ms and its median peak memory was 92 MiB; Chrome recorded 687 ms and 697 MiB, respectively. Moli used about 15% of Chrome's CPU time and 13% of its peak memory. See the benchmark's resource card for the methodology and full data.

Project scope

Within the agent-browser scenarios defined in its documentation, Moli is ready for production use and remains under active development.

Its current intentional boundaries include:

• No GUI browser, persistent window, GPU compositor, or retained multi-frame paint architecture.
• It does not pursue pixel-for-pixel parity with Chrome or provide high-fidelity Canvas/WebGL/media playback.
• --layout supports software screenshots and raster-backed CDP PDF generation, but not every Chrome screenshot or print mode is implemented.

Unsupported protocol paths return explicit errors — Moli never pretends that a browser action, event, network observation, or visual result occurred.

Star history

Generated hourly from the stargazer timeline by lexmount/moli-metrics.

License

Unless a file or directory states otherwise, you may use Moli under either the Apache License 2.0 or the MIT License, at your option. Separately licensed third-party components and fixtures remain subject to their own licenses and notices. license-metadata.json records the machine-readable default, and additional distributable notices are collected under licenses/.