CORAL provides an infrastructure for creating and evolving AI agent teams that conduct experiments and improve solutions.
CORAL lets you build organizations of AI agents that run experiments, share knowledge, and continuously improve solutions to problems. It provides isolated workspaces, safe evaluation, and persistent shared knowledge for multi-agent collaboration, requiring only a codebase and a grading script to start. For example, it includes judge packages like `race_japan_grader` and `apex_judge` for open-ended tasks.
CORAL provides an infrastructure for creating and evolving AI agent teams that conduct experiments and improve solutions.
Developers and researchers focused on automated AI agent evolution, code generation, and open-ended discovery tasks will find this useful.