aiGeek

For now, aiGeek is best judged as an open-source investing research framework that has drawn attention, not as a broadly validated production-grade research product. The current evidence is mainly a single X post pointing to the GitHub repo. That supports interest in the idea and confirms its positioning around value-investing methodology plus multi-agent workflows, but it does not by itself prove research quality, stability, or real-world investment outcomes.

In practical terms, it looks more like an AI-assisted research workflow orchestrator than a brokerage platform, an auto-trading bot, or a quantitative signal engine. A better analogy is a system that breaks down the research habits associated with Buffett, Munger, Duan Yongping, and Li Lu into AI-executable steps, then uses Claude Code and parallel agents to gather information, organize analysis, and draft investment memos. It may help speed up synthesis and structuring, but it should not be mistaken for automated investment judgment.