ServiceNow/BrowserGym

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1329 stars · 192 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

BrowserGym is a Gym-style environment library for web task automation, providing a unified interface to web agent benchmarks like MiniWoB, WebArena, and WorkArena. It enables researchers to build, test, and evaluate LLM-powered web agents against standardized browser tasks.

Use cases

• evaluate llm web agents on browser benchmarks
• build a web automation agent with gym environment
• benchmark my agent on webarena and miniwob
• create a custom web task benchmark
• train agents to automate browser tasks

When to choose

• you are researching or benchmarking LLM-based web agents
• you need a unified Gym API across multiple web benchmarks
• you want to design custom web automation tasks

When to avoid

• you need a production browser automation tool for end users
• you want simple scraping without an agent/research framework
• you need a consumer product - it is explicitly research-oriented

Facets

library · maturity active

agent-framework machine-learning llm-inference testing benchmarking artificial-intelligence large-language-models web-development python cross-platform web-agent gym-environment browser-automation reinforcement-learning-environment web-benchmarks llm-agents ai-agents research

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ServiceNow/BrowserGym")