virattt/ai-hedge-fund
A proof-of-concept AI-powered hedge fund using 18 specialized agents modeled after famous investors like Warren Buffett, Charlie Munger, and Cathie Wood — each with distinct analytical roles — that collaboratively analyze stocks and generate trading signals through coordinated multi-agent orchestration.
Why It Matters
With nearly 50K stars, ai-hedge-fund is one of the most widely-starred practical examples of multi-agent AI systems on GitHub. It demonstrates how LLMs can be assigned specialized 'personas' (investor archetypes) and coordinated through a portfolio manager agent to make composite decisions. This is more than a finance tool — it's a reference architecture for building domain-specific multi-agent systems with distinct roles, backtesting support, and a web UI. Developers studying agentic AI, agent specialization, and coordinated decision-making consistently reference this repo.