New: WebsiteBench. Can AI agents rebuild websites through browser exploration?WebsiteBench Star on GitHubStar
Benchmark

WebsiteBench

Website reconstruction benchmark: agents explore a production-level site through a browser, rebuild a full-stack version, and are scored by hidden functional and visual test cases across 70 tasks.

AI-assisted editorial review against a primary source.

Original source ↗Read as MarkdownRecord JSON

What is this resource?

Resource type
Benchmark
Environment
Web
Topics
Evaluation, Web navigation, Long-horizon tasks, UI design
Evidence retrieved
2026-11-06
Resource ID
github:tiger-ai-lab/websitebench

What licenses are recorded?

Code, training data, weights, and documents each have their own entry. A blank entry means the license is unknown.

Code
Apache-2.0 (repository LICENSE header; not a weights/data license)
Data
Not recorded
Document
Not recorded
Weights
Not recorded

Evaluation protocol

Focus
full-stack website reconstruction from browser exploration, without the source code, visual appearance and functional behavior of the rebuilt site
Setting
interactive
Observations
Not recorded
Actions / outputs
harness-defined browser actions through the task's local browser service
Evaluation
Hidden test cases per task. A case passes when its functional checks pass and every visual checkpoint's flat-baseline-normalized RGB SSIM reaches 0.99. A task's reward is passed cases divided by cases, weighted equally.

Scale and counting units

Agents run through selectable Harbor agents, so observations and actions depend on the agent. Each task requests 8 CPUs, 8 GiB of memory and 20 GiB of disk per environment, with up to 16 hours for the agent.

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Recorded specifications

leaderboard url
https://website-bench.com/#results
repository revision
78f5558e8197bb91b3bab63428c12b92060ddc6f
repository tree sha
a72e8de335c8f531b655eee7d4f9709dec40b366

Explore related topics

EvaluationWeb navigationLong-horizon tasksUI design

Scope and limitations

Read at commit 78f5558e. The README and docs/tasks.md were reviewed; the 70 tasks and 46,916 hidden cases were checked by summing the docs/tasks.md table. The README's paper badge has no link, so no paper relation is recorded. Apache-2.0 is the README's statement for benchmark code, task definitions and verifier. Leaderboard scores were not checked. Nothing was installed or run.

Primary evidence and verification

Use the original publication or publisher page when citing claims about the resource.

  1. editorial primary review

    Retrieved 2026-11-06T06:21:48Z. Supports: name, kind, summary, environments, topics, scope, notes, details.

    Content fingerprintc79cb821975c34552a46f01349edd0869c2f20c9a85d4b7811155d3fb7f7f0b2
  2. editorial primary review

    Retrieved 2026-11-06T06:21:44Z. Supports: details.benchmark_protocol.

    Content fingerprintd98bd00fb45abc63df0fddd6d9f9f5e669396cd53c157e5e06d6de9d103adf09
  3. license header

    Retrieved 2026-11-06T06:22:02Z. Supports: licenses.code.

    Content fingerprintcda5b289b68650d0643c0ded2d43dc797cb7777c4d943f2b03067250de6d3c26

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