ObserverBench is an open-source benchmark for testing AI monitoring methods against the harms they fail to detect. It provides guided examples, saved model measurements, real-model experiments, and tasks for evaluating internal activity monitoring and decision safety.
Try ObserverBench sits in PulseGate's Agent evaluation & testing category. It focuses on evaluating whether AI monitoring methods detect harmful behavior and support safer decisions. Try ObserverBench is an open-source project aimed at AI safety researchers and developers evaluating model monitors. Try ObserverBench is open source under the MIT license. Try ObserverBench is available on the web and the command line, and it can be self-hosted.
Behind Try ObserverBench is Kwisatz Hader, and it first shipped in 2026. Development happens publicly on GitHub with 31 commits in the last 90 days. Key capabilities include guided example, monitor comparison, and real-model results.
Summary written by a language model from the project’s public pages.
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