Beagle – a framework to evaluate and evolve agent harnesses at scale (github.com)

Beagle, a newly launched open-source framework, empowers users to evaluate and evolve agent harnesses at scale. Its initial release features DarwinX as its core evolution algorithm, which intelligently modifies agent harnesses to enhance their capabilities while preventing regressions. Users can bring their preferred agent harnesses and task sets for optimization, allowing Beagle to create more robust agents that can adapt to new challenges. This framework is significant for the AI/ML community as it streamlines the process of improving agent performance through evolutionary techniques. Beagle allows for the integration of various evolution algorithms, starting with DarwinX, and provides structured environments for both evaluation and evolution tasks. Users can access a variety of benchmarks and utilize Docker for running experiments, ensuring scalability and reproducibility in their work. Future updates promise to expand Beagle's features and functionalities, enhancing its utility for researchers and developers in evolving intelligent systems.