labicon/CRAFT

CRAFT combines foundation models (GPT) with multi-agent RL for robot coordination—a novel architectural pattern, but heavily dependent on commercial LLM APIs and lacks independent moat. At 5 stars, 0 forks, 194 days old, and zero velocity, this is an early-stage academic/lab project with minimal adoption and no community traction. The approach is interesting (coaching RL agents with LLMs) but the execution is tightly bound to OpenAI's platform, making it a thin wrapper around commodity components. Frontier labs (OpenAI, DeepMind, Google) are actively exploring LLM-as-coach patterns for robotics and multi-agent systems; they have the infrastructure, model access, and robotics hardware to build this natively or integrate it as a feature. The lack of forks or updates suggests this is a publish-and-archive research artifact, not an evolving platform. No network effects, switching costs, or data gravity. Would be trivially repurposed or absorbed into a larger robotics+LLM platform by a frontier lab.