Ashpreet Bedi: “Investment Committee: 5 Multi-Agent Architectures in Action” / X
Ashpreet Bedi describes building an AI investment committee with seven specialist agents using the Agno framework to manage a $10M US equities portfol...
Summary
This GitHub repository hosts an AI investment committee built with the Agno framework, featuring 7 specialist agents for stock evaluation, risk management, and portfolio decisions.
It includes 4 team configurations—Coordinate, Route, Broadcast, Task—and a deterministic Investment Pipeline workflow, supported by a three-layer knowledge system with static context, PgVector RAG research library, and memo archive. Setup involves cloning the repo, configuring API keys, running Docker services, loading research data, and connecting via os.agno.com UI for tasks like stock reviews or portfolio construction.