hwatu is a visual verification harness for coding agents, built as a WebKit daemon. Instead of "looks right to me", your agent gets one-call verified page checks in ~35 ms, pixel-diff scores it can climb, animations as numbers, and headless windows that never steal your focus, at any parallelism.

For human-in-the-loop tasks (e.g. Captcha), hwatu features a lightweight visual verification frontend renderer written in WebKit and a caller function. For tiling WMs (Hyprland, sway, niri, i3), hwatu is intended to replace your primary daily browser. Our current goal is to provide scrolling short-form content experience in mobile-level framerate.

Documents

• Vision: durable product principles, native platform strategy, swarm model
• Agent guide: protocol, primitives, verification loops
• Human guide: daily driving hwatu in a tiling WM, keybinds, media, hand-off
• Benchmarks: every number, measured, with methodology
• Roadmap: portfolio priorities and product boundaries
  • AI verification
  • Tiling-WM browser
  • Shared platform
• Continuous improvement: activation metric, feedback loop, weekly cadence
• Launch kit: reusable copy, channels, and measurement plan

Install

curl -fsSL https://raw.githubusercontent.com/hongnoul/hwatu/main/scripts/install.sh | bash

One static binary plus your distro's webkitgtk-6.0 (the installer checks). On Arch: yay -S hwatu. From source: cargo build --release.

Then pick your door, or take both:

hwatu setup             # agent: detect Claude Code, Cursor, Jcode, or MCP
hwatu localhost:3000    # human: open a window like you open a terminal

Real eyes for your coding agent

• STOP your agent claiming "pixel-perfect." Make it prove 97.49%.
• STOP paying 5 tool calls per page check. hwatu check is one call, ~35 ms (beats warm-server Playwright ~9x).
• STOP browser windows stealing your focus. Headless by default, you keep typing.
• STOP shipping 170 MB of Chromium. One static binary + your distro's webkitgtk.

hwatu setup detects supported coding agents and prints the available connections without changing their config. Choose a client explicitly when you are ready:

hwatu doctor
hwatu setup --client claude --scope project --dry-run
hwatu setup --client claude --scope project
hwatu demo

Setup is previewable, idempotent, and reversible with the same client and scope plus --undo. Manual MCP configuration remains one portable entry:

{ "mcpServers": { "hwatu": { "command": "hwatu", "args": ["mcp"] } } }

Or skip MCP entirely: every command is a short CLI call or one newline-delimited JSON line over a Unix socket.

Connecting hwatu makes its tools available; a project instruction tells the agent when to use them. Add this to AGENTS.md, CLAUDE.md, Cursor rules, or the equivalent for your harness:

## Frontend verification

Use Hwatu after frontend changes. Exercise the affected user journey and
verify its intended visible, navigational, or persisted result with `expect`.
A successful click or clean console is not proof of success. Check `console`
for additional JavaScript and request failures after verifying the outcome.

Then make the task's proof concrete:

Implement display-name editing on /settings. Use Hwatu to enter “Test User,”
save it, verify the visible success state, reload, confirm persistence, and
report any console errors.

The verification loop, real commands, real output:

hwatu --headless localhost:3000        # its window; you never see it
hwatu --headless staging.example.com   # the reference

hwatu diff --id 2 --other 1 --heatmap /tmp/heat.png
# {"match_percent":85.13,"regions":[{"x":0,"y":160,"w":2048,...}]}

hwatu motion --id 1                    # the reference's animations, as numbers
# easing cubic-bezier(0.25,1,0.5,1), 300ms, marquee 29.78px/s ...

# ...agent edits code...

hwatu diff --id 2 --other 1
# {"match_percent":97.49}              # climbing beats guessing

We ran this loop against a clone of stripe.com's landing page: an agent took it from 85.1% to 98.8% pixel match. Reproduce it: scripts/demo/. A second, real-agent scenario against AIUC (four responsive viewport diffs followed by live human hand-off) is reproducible with evidence manifests from scripts/demo-aiuc/.

A full verification pass (open, load, eval, screenshot, close) is one command, one tool call, ~35 ms median (benchmarks):

hwatu check localhost:5173 --eval 'document.title' --shot=/tmp/after.png
# {"title":"My App","eval":"My App","shot":"/tmp/after.png",
#  "console":[...],"load_ms":13,"total_ms":35}

For a repeatable repo-level contract that also owns the preflight, local dev server, responsive screenshots, source-staleness check, and evidence report:

hwatu verify .hwatu/about.verify.json

The same executor is exposed to MCP clients as verify_ui, so different agent harnesses do not need to rebuild the orchestration loop. See the agent guide.

Generated HTML in hand and no server? hwatu render is the same one-call pass with the markup as input: no temp file, no python3 -m http.server:

echo '<h1>generated</h1>' | hwatu render --stdin --shot=/tmp/gen.png
# {"rendered":true,"shot":"/tmp/gen.png","load_ms":5,"total_ms":28}

# React to load, console, download, and window events without polling.
hwatu watch --kinds load,console
# {"event":"load","seq":1,"window_id":7,"data":{"state":"started",...}}

MCP clients can call subscribe_events for the same stream as notifications/hwatu/event. See the full agent guide, including a larger copy-paste policy and verification loops.

Everywhere else, headless is decided at launch and a human can never see the session at any price. In hwatu it's a window property, switchable live, in both directions. And because hwatu is also the browser you already live in, the hand-off lands in a window that behaves like every other window on your desk, not a viewer bolted on for emergencies.

challenge is detection and hand-off only, by design: no solver APIs, no token injection, no fingerprint games.

Agents loop, you watch some reels

The hand-off works because hwatu is also a real browser, one built for tiling WMs. hwatu <url> opens a window like your terminal opens a shell (your WM is the tab bar, there is none in the window), with mainstream keybinds (ctrl+l, ctrl+f, ctrl+k palette, all rebindable via dotfile), native ad blocking (~119k EasyList rules compiled into WebKit's content-extension engine, zero JS in the request path), Chromium-curve scrolling, unmuted autoplay, a blur-shield that took Shorts from ~34 to ~95 fps, and one shortform control scheme (arrows snap exactly one video, Space pauses, hold ArrowRight for 2x) across Reels, Shorts, and TikTok. High framerates help oneshotting websites with complicated scroll-anchored animation logic (e.g. scale.com). Because of this reason, hwatu is optimized for consuming short-form content with much less resources than what you would have needed with Chromium or Firefox. The demo video below shows why hwatu is an excellent alternative browser option for your system, especially for tiling WMs:

Every window shares the one warm daemon (~56 MB per extra window), suspends when unfocused, and crash-restores at its last URL. Honest gaps: no Widevine or passkeys in WebKitGTK, so keep a fallback bound for Netflix. Ready-made WM configs (hyprland, sway, niri), the full keybind table, and setup: docs/human.md.

Features

• Headless / background / focused as a per-window property, switchable live
• Human hand-off: hwatu focus <id> drops the live session into your tiling WM
• Pixel-diff scoring: match percent + diff regions + heatmap (diff)
• Animations as numbers: duration, easing, velocity (motion)
• Deterministic animation frames: pin all animations at time t (seek)
• Page state as JSON, tokens not pixels (snapshot)
• Real input events with structured errors (click / type / scroll / upload)
• JS errors, console output, failed requests (console)
• Push event subscriptions as JSON lines or MCP notifications (watch)
• One-call page assertions with polling (expect)
• CAPTCHA / anti-bot detection with structured wait/resume (challenge)
• MCP server, plain CLI, and a 1-line JSON socket protocol
• A real browser for humans: mainstream keybinds, media-correct video, native ad blocking, crash restore

Why not Playwright or chrome-devtools-mcp?

There are three ways to give an agent a browser, and two of them are bad at it:

	How it runs	What it costs the agent loop
Cold library (Playwright, launched per task)	engine starts when the script does	fast to call, slow to run: every check pays engine startup; no state survives between tasks
Warm browser (your Chrome + devtools-mcp)	a full human browser stays resident	resources spent on tabs, extensions, sync, UI you never render, and its windows steal your focus while you work
hwatu	"the coldest warm daemon": engine hot, everything else absent	8 ms spawns, 35 ms verified checks, invisible until you ask to see it (focus), interruptible in both directions

hwatu keeps exactly what makes checks instant (engine, GPU context, compiled adblock, a prewarmed WebView) and nothing that serves a human sitting in front of it unless that human asked for a window. That's why it idles warm without a tab bar, and why a kept-warm Playwright server driven the same way still costs 341 ms per client to hwatu's 39 (benchmarks).

The second difference is what comes back. Playwright and chrome-devtools-mcp are, at their core, automation APIs: they let an agent drive a browser, then hand back raw screenshots and DOM for the agent to eyeball. hwatu is a verification browser: the measurement primitives are built in, and the browser itself is a warm daemon where a window costs 13 ms and headless is a window property, not a launch mode.

The same pass through Playwright's warm in-process CDP connection, its best case, is 82 ms and five API calls. Shaped like hwatu actually runs (a fresh client each check against a kept-warm engine), Playwright's pass is 341 ms vs hwatu's 39: hwatu is a warm daemon by design, Playwright is a library you have to keep warm yourself.

How hwatu compares

Legend: ✅ Yes / built-in · 🟡 Partial / limited · ❌ No

Capability	Playwright	chrome-devtools-mcp	hwatu
Verify pass (load + eval + screenshot), warm in-process	82 ms	n/a	35 ms
Verify pass as a warm service (fresh client per check)	341 ms	n/a	39 ms
Tool calls per verify pass	5	5	1
Pixel-diff score + regions + heatmap	🟡 1	❌	✅
Animations as numbers, pinned mid-flight	❌ 2	🟡 3	✅
Headless ↔ headed on a live session	❌	❌	✅
Human hand-off mid-session, state intact	❌	❌	✅
No focus stealing at N parallel agents	🟡 4	🟡 4	✅
CAPTCHA detection + structured wait/resume	❌	❌	✅
No Node, no per-version browser download	❌	❌	✅

1 toHaveScreenshot compares against stored goldens: pass/fail for test suites, not a score an agent can climb.

2 Standard practice is to disable animations or fast-forward to the end state to avoid flakes.

3 Raw CDP can query animation state, but there is no numeric summary of easing/velocity/keyframes.

4 Fine headless; every headed window pops and takes focus.

Comparison reflects each project at the time of writing; corrections are welcome. Honest caveats: Playwright still wins cold start (190 vs 435 ms, paid once per boot) and memory; hwatu renders WebKit not Chromium (keep a Playwright matrix in CI for engine-specific bugs), and it is Linux-only today. Full head-to-head data and methodology: docs/benchmarks.md.

What about Claude in Chrome? Different category. Claude in Chrome is Claude driving your Chrome through a browser extension: one agent product, one browser, sharing your profile, tabs, and focus. hwatu is a client-agnostic daemon any agent (Claude Code, Cursor, or a shell script) calls over CLI/MCP, with its own warm WebKit engine, headless by default, and verification primitives (check, pixel diff, motion capture) built in. Speed is not really comparable: claude-in-chrome's loop is extension messaging inside a full human browser and is not callable by other tools, while hwatu is a purpose-built verification service (~35 ms per check). Use Claude in Chrome to let Claude browse alongside you; use hwatu when agents need cheap, repeated, measurable page checks.

Feedback

Tried hwatu? A successful check, a failed install, a missing keybind, and a site that broke are all useful signals. Share a two-minute use report or report a bug.

---

AGPL-3.0 licensed. Linux. WebKitGTK 6.