Self-evolving agentic architecture

This project is based on a self-evolving agentic architecture, which is led by an architect, and acts on feedback received from a feedback agent (in this case, manifesting Warren Buffet). The objective is to identify an optimal agentic architecture for stock valuation automatically. This might save AI engineers a lot of time doing manual research and trying different architectures.