AI Berkshire is an AI-assisted value investing research framework designed for Claude Code and Codex workflows. It turns the investment methods of Warren Buffett, Charlie Munger, Duan Yongping, and Li Lu into structured research agents. The project is meant to improve research depth, decision discipline, and analytical consistency compared with asking a general AI model for a one-off stock opinion. It uses parallel agent analysis, adversarial viewpoints, financial rigor checks, and repeatable report formats to reduce shallow or overly balanced conclusions. The framework covers company research, earnings review, industry screening, portfolio thinking, management analysis, and investment checklists. It is best understood as a research and decision-support system rather than a source of financial advice.

Features

  • Four-master investment methodology
  • Multi-agent adversarial research
  • Company and industry analysis workflows
  • Financial calculation verification
  • Structured investment checklists
  • Repeatable research report generation

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Frameworks

License

MIT License

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Additional Project Details

Programming Language

Python

Related Categories

Python Frameworks

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1 day ago
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