Polymath is an AI utility designed to intelligently answer free-form questions leveraging a wide array of datasets. It aims to streamline information retrieval and ensure users receive relevant, clear, and concise answers. Polymath is set up as a monorepo, utilizing Node's built-in workspace capabilities which help in modular development and deployment. This empowers users to handle complex queries with ease and get insights quickly.

Colosseum Agent Battles provides a modular Python SDK for constructing AI agent competitions in customizable arenas. Users can define environments with specific terrain, resources, and rulesets, then implement agent strategies via a standardized interface. The framework manages battle scheduling, referee logic, and real-time logging of agent actions and outcomes. It includes tools for running tournaments, tracking win/loss statistics, and visualizing agent performance through charts. Developers can integrate with popular machine learning libraries to train agents, export battle data for analysis, and extend referee modules to enforce custom rules. Ultimately, it streamlines the benchmarking of AI strategies in head-to-head contests. It also supports logging in JSON and CSV formats for downstream analytics.