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WildClawBench
Python

WildClawBench

An in-the-wild benchmark for AI agents in the production harness.

by InternLM · GitHub
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agentic-aiagentic-evaluationagentsMITPython
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In plain words

Evaluate AI agents by testing their ability to perform real tasks in a live environment.

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515480
2026-07-202026-08-31
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📄 About

An in-the-wild benchmark for AI agents in the production harness.

WildClawBench has 515 stars on GitHub. It has been forked 61 times. WildClawBench is written mainly in Python. It has been in active development since 2026. WildClawBench is available under the MIT license. Its main topics are agentic-ai, agentic-evaluation, agents, benchmarks.

Frequently asked questions

What is WildClawBench?

An in-the-wild benchmark for AI agents in the production harness.

Is WildClawBench open source?

WildClawBench is an open-source project. It is released under the MIT license.

Is WildClawBench free?

Yes. WildClawBench is free and open source — you can use, modify and self-host it.

What license does WildClawBench use?

WildClawBench is available under the MIT license.

What language is WildClawBench written in?

WildClawBench is written mainly in Python.

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