Interpretable AutoResearch – Legible Agent Workflows

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Interpretable AutoResearch is an open-source framework that generates legible agent workflows, enabling users to understand and interpret the decision-making processes of autonomous agents. It provides a set of tools to visualize and analyze the workflows, making it easier to identify biases and improve overall performance. The framework is available on GitHub and supports various applications, including robotics and autonomous systems.