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ai-berkshire

MCPOpen source

AI-era value investing research framework for Claude Code/Codex, using 4 masters' methodologies and multi-agent adversar

16kMIT

AI 时代的伯克希尔:基于 Claude Code / Codex 的价值投资研究框架。巴菲特·芒格·段永平·李录四大师方法论 + 多Agent并行研究。| AI-era Berkshire: a value investing research framework built for Claude Code / Codex. 4 masters' methodologies + multi-agent adversarial analysis.

Pros

  • +Systematizes value investing methodologies of Buffett, Munger, Duan, and Li into 20 structured skills
  • +Multi-agent parallel research with adversarial analysis for deeper insights
  • +Includes financial rigor tools for precise calculations and data verification
  • +Proven track record with real returns outperforming major indices

Cons

  • −Requires familiarity with Claude Code or Codex and their setup
  • −Primarily focused on value investing, not general-purpose AI tool
  • −Documentation and skills are largely in Chinese, limiting accessibility

Target audience: Value investors and financial analysts who use AI coding assistants like Claude Code or Codex to conduct deep, structured investment research.

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