Ashpreet Bedi describes building an AI investment committee with seven specialist agents using the Agno framework to manage a $10M US equities portfolio against live YFinance and Exa data.
The agents include Market Analyst, Financial Analyst, Technical Analyst, Risk Officer, Knowledge Agent, Memo Writer, and Committee Chair, all sharing committee context and a learning base. It demonstrates five orchestration architectures—route, broadcast, coordinate, tasks, and workflow—showing how each alters decision quality for tasks like stock evaluation and capital allocation.
LEANN is an open-source vector database that compresses RAG indexes by 97% through graph-based recomputation and on-demand embedding calculation, elim...
Building a simulated terminal UI with macOS-like window controls in Next.js, focusing on global state management and hydration patterns.
