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AgentLab

Framework for developing, evaluating and benchmarking web agents on BrowserGym benchmarks, with parallel runs through Ray.

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Install

From the package registry. Read the repository before you give any tool access to your data.

pip install agentlab

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About

AgentLab is a framework for developing and evaluating web agents on benchmarks supported by BrowserGym. Its features include large-scale parallel experiments using Ray, building blocks for agents over BrowserGym, and a unified LLM API for OpenRouter, OpenAI, Azure or a self-hosted TGI endpoint. The README says it is meant for web agent research and is not a consumer product, and it lists reproducibility features and a leaderboard.

Use cases: browser-automation, llm-evaluation

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Fact sheet

Languages
PythonREADME
Packages
agentlab (pypi)README
Model providers
openrouter, openai, azure-openaiREADME
Maturity
ExperimentalREADME

Facts extracted by Claude Haiku 5.5 from the linked sources on Oct 24, 2026. Wrong fact? Tell us.

Alternatives

Frameworks for the same language with a similar way of orchestrating agents.

Signals

Stars
657
Forks
134
Open issues
22
Weekly downloads
269
Last commit
Oct 6, 2026 (25 days ago)
Last release
Jan 20, 2026 (9 months ago)
Last package publish
Jan 20, 2026 (9 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Packages
pypi agentlab
License
Other
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

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AgentLab. Agent Mart. https://agentmart.dev/harnesses/agentlab (last updated 2026-10-24)