proofbench is an open-source CLI tool for evaluating and improving the performance of headless AI agents. It uses configuration files to benchmark agents against ground-truth corpora and supports prompt optimization and self-improvement workflows. Ideal for AI researchers and developers working on agent evaluation.
proofbench is a LLM eval & observability project. It focuses on automating the evaluation and improvement of headless agent skills against ground-truth datasets. proofbench is an open-source project aimed at AI researchers and developers. proofbench is open source under the MIT license. It ships for the command line.
proofbench first shipped in 2026. Key capabilities include agent benchmarking, config-driven, and self-improvement.
Summary written by a language model from the project’s public pages.
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