MIT · Agents

Webwright

Microsoft's open-source browser agent framework for long-horizon web tasks.

5.2K stars 0.3K forks MIT license 2026-06-09 verified
bash
$# Webwright
$pip install webwright
$npx webwright --help
Open source
Overview

What is Webwright?

Webwright is an open-source browser agent framework from Microsoft that targets SWE-style, long-horizon web tasks. It is useful for teams comparing browser-use style agents, Playwright-based automation, and agent frameworks that need repeatable web task execution.

Long-horizon browser focus

Webwright is positioned around multi-step web tasks rather than isolated browser commands.

Long-running workflows need state tracking, retries, and task decomposition that basic automation scripts often lack.

Research-friendly surface

The project is useful for comparing browser agent performance across repeatable tasks.

Teams can use it as a benchmarkable alternative to ad hoc browser agent demos.

Microsoft backing

The repository is maintained under the Microsoft GitHub organization.

A major maintainer increases the odds of documentation, issue visibility, and ecosystem attention.
Use cases

What teams use it for

Web workflow evaluation

Run representative web tasks and compare completion rate, latency, and recovery behavior.

Browser agent research

Study planning and execution patterns for long web sessions.

Automation prototypes

Prototype web task agents before deciding whether to adopt a productized automation stack.

Ecosystem

Tags & capabilities

agentopen sourceworkflow orchestrationopen source
Comparison

How it stacks up

Choose Webwright for long-horizon experiments

vs browser-use

browser-use is a popular practical browser agent library. Webwright is especially interesting when the test workload resembles SWE-style long web tasks.

FAQ

Questions

Is Webwright open source?

Yes. The GitHub repository is listed under the MIT license.

Who should evaluate Webwright?

Teams researching or prototyping long-horizon browser agents should put Webwright on the shortlist.

Decision brief

Should you use Webwright?

JSON
Best for
  • Teams evaluating browser agents for complex web workflows
  • Researchers benchmarking long-horizon web task performance
  • Developers who want a browser automation framework with agent-oriented primitives
Not for
  • Teams that only need a simple scraper
  • Users looking for a no-code browser automation product
Trust and freshness
  • Verified 2026-06-09
  • License: MIT
  • Repo: microsoft/Webwright
  • Open-source signal
Deployment

Check source

Permission surface

browser

Decision signals

No extra signals recorded

Agent packet

Structured decision data for Webwright

This packet is the compact machine-readable view agents should use before following source links or taking action.

Capabilities

workflow orchestration

Constraints

open source

Deployment

Check source

Permission surface

browser

Recommended workflows

Browser automation, Coding agent workflow, Evaluation and observability, Reusable skill workflow

Overview

What Webwright does

What it is

It is a developer framework for evaluating and building agents that operate websites across multiple steps.

Why it matters

Browser automation is one of the clearest places where agents can turn language instructions into real work, but long tasks need more than a simple click loop.

How to evaluate it

Start with the official repository, run the examples, and measure completion rate on a small set of workflows before connecting sensitive accounts.

Facts

Known metadata and operating surface

These fields are separated from editorial interpretation so agents can reason over facts and missing checks.

Resource type agent
Category Agents
Maturity active
Difficulty Unknown
License MIT
Pricing open source
Verified 2026-06-09
Source confidence medium
Risk level moderate
Fit matrix

Where Webwright fits in an agent stack

strong

Browser automation

Webwright has multiple signals for browser automation, including matching tags, capabilities, category, or positioning.

  • Run one non-sensitive website task and inspect clicks, waits, retries, and changed URLs.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
strong

Coding agent workflow

Webwright has multiple signals for coding agent workflow, including matching tags, capabilities, category, or positioning.

  • Run a small repository change and inspect the diff, tests, and rollback path.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
strong

Evaluation and observability

Webwright has multiple signals for evaluation and observability, including matching tags, capabilities, category, or positioning.

  • Add one repeatable test case and confirm results can run again in review or CI.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
strong

Reusable skill workflow

Webwright has multiple signals for reusable skill workflow, including matching tags, capabilities, category, or positioning.

  • Run one skill end to end and check whether it produces evidence or structured output.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
weak

Connector or protocol layer

Webwright is not primarily positioned for connector or protocol layer in the current metadata.

  • Connect one low-risk service, then inspect schemas, auth scope, errors, and logs.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
weak

Local or private AI stack

Webwright is not primarily positioned for local or private ai stack in the current metadata.

  • Verify hardware requirements, data path, storage, and whether all calls stay in your environment.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
Inputs and outputs

What an agent should inspect

Likely inputs

  • Web pages, DOM state, screenshots, forms, or browser sessions
  • Repositories, files, issues, terminal output, and test results
  • Official setup instructions and a small real workflow

Likely outputs

  • Action traces, changed pages, extracted data, or completed browser steps
  • Diffs, commits, explanations, test results, or review notes
  • Scores, traces, regression results, dashboards, or failure cases
  • A decision on whether this resource fits the target workflow
Evidence

Sources, claims, and missing checks

Claims are marked separately from source links so future crawlers and reviewers can update them without rewriting the page.

verified

Webwright is listed as open source.

License metadata: MIT
verified

Webwright has a recorded GitHub repository: microsoft/Webwright.

Resource facts and GitHub source link.
inferred

Webwright is tagged with workflow orchestration capabilities.

OpenAgent capability taxonomy.
Missing checks
  • Dedicated docs link is missing.
  • Repository freshness has not been recorded.
Next action

How to start evaluating Webwright

Inspect repository

Check license, recent activity, issues, examples, and security-sensitive code paths.

Open source
Compare

Alternatives and nearby resources

Use related resources to compare category fit, license, deployment model, and first-workflow behavior.

FAQ

Common questions about Webwright

Is Webwright open source?

Yes. The GitHub repository is listed under the MIT license.

Who should evaluate Webwright?

Teams researching or prototyping long-horizon browser agents should put Webwright on the shortlist.