An in-the-wild benchmark for AI agents in the production harness.
Evaluate AI agents by testing their ability to perform real tasks in a live environment.
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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.
An in-the-wild benchmark for AI agents in the production harness.
WildClawBench is an open-source project. It is released under the MIT license.
Yes. WildClawBench is free and open source — you can use, modify and self-host it.
WildClawBench is available under the MIT license.
WildClawBench is written mainly in Python.
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