LibreAI / AI Agents / WorkArena
// agents · ServiceNow/WorkArena

WorkArena

WorkArena: ServiceNow's benchmark for how well web agents handle everyday knowledge-work tasks.

★ 275 stars⑂ 40 forksNOASSERTIONupdated 2026-09
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

WorkArena is an open-source ai agents project by ServiceNow (ServiceNow/WorkArena on GitHub). It has 275 GitHub stars and 40 forks, is released under the NOASSERTION license, and was last updated on GitHub on 28 September 2026.

GitHub stars
275
Forks
40
License
NOASSERTION
Last updated on GitHub
28 September 2026
Category
AI Agents
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Clarify your goal

    Decide whether you will evaluate on the atomic L1 tasks or the compositional WorkArena++ (L2/L3) tasks.

  2. Get the project

    Request access to the gated WorkArena instances dataset on Hugging Face and authenticate your machine.

  3. Install and configure

    Install browsergym-workarena and Playwright into your BrowserGym environment.

  4. Run your first task

    Run the demo to see tasks solved by the oracle cheat functions, then wire your agent through env.step and validate its results.

// features

Why people love it

Atomic knowledge-work tasks

WorkArena-L1 contains tens of thousands of unique instances across 33 tasks covering the main ServiceNow interface components.

Compositional WorkArena++ tasks

Hundreds of composed tasks combine atomic skills into realistic use cases that test planning, reasoning, and memory.

Real enterprise platform

Tasks run on actual ServiceNow instances rather than toy websites, reflecting real knowledge-work software.

BrowserGym and AgentLab integration

The preferred evaluation path runs parallel experiments through BrowserGym with a unified public leaderboard.

Oracle demos and validation

Each task ships cheat (oracle) and validate functions, so you can see a task solved and then score your own agent against the same checks.

Published research basis

The benchmark is documented in ICML 2024 and NeurIPS 2024 papers linked from the repository.

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// run it

Run it yourself

  1. Clone the repository (optional)

    Most evaluators install the package from PyPI into a BrowserGym environment.

    git clone https://github.com/ServiceNow/WorkArena.git
    cd WorkArena
  2. Install WorkArena and Playwright

    First gain access to the gated instances dataset on Hugging Face and authenticate, as the README requires.

    pip install browsergym-workarena
    playwright install
  3. Run an agent evaluation

    Instantiate tasks through BrowserGym's BrowserEnv and drive them with your agent via env.step, validating with the task's validate function. # see README live demo code

    # see the README Live Demo section for the full BrowserEnv example
// use cases

What you can build

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// faq

Questions, answered

Who maintains it?

It is maintained by ServiceNow's research team.

Is it free to use?

The package is openly available, but the catalog metadata lists its license as NOASSERTION, and running it requires approved access to the gated ServiceNow instances dataset, so read the repository terms first.

Does it need a paid API key?

No LLM key is needed for the benchmark itself; the agent you evaluate brings its own model access, and you need Hugging Face authentication for the gated instances.

How does it compare to a well-known alternative?

WebArena tests agents on self-hosted web apps like shopping and forums; WorkArena tests them inside ServiceNow on enterprise knowledge-work tasks such as forms, catalogs, and dashboards.

How do I get started?

Get approved for the instances dataset, pip install browsergym-workarena, install Playwright, and run the README's demo script through BrowserGym.

// keep exploring

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// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if WorkArena is not the right fit.

Get WorkArena

Free and open — grab the source, star the repo, and start creating.