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Research company fundamentals and long-term value opportunities with multi-agent analysis.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ai-berkshire" yet — see the docs or source repo.
Use the value investing frameworks of Buffett, Munger, Duan Yongping, and Li Lu to analyze Kweichow Moutai’s business model, moat, management, financial quality, valuation, and key risks, then provide long-term monitoring points.
A structured company research report with investment thesis, risk assessment, and an ongoing monitoring checklist.
Compare Tencent and Alibaba from a value investing perspective across competitive advantage, capital allocation, profitability, management, margin of safety, and regulatory risk, then recommend which should be prioritized for further research and why.
A comparative analysis clearly outlining strengths, weaknesses, key differences, and a recommendation on research priority.
For a consumer goods company under serious consideration, generate a value investing due diligence checklist covering industry structure, channel strength, pricing power, financial red flags, management incentives, potential black swans, and data sources that require further verification.
An actionable due diligence checklist and information-gathering framework for systematic follow-up research.
Analyze stocks and investment opportunities using Graham and Buffett principles.
Retrieve citable technical context and coordinate evidence-backed work across AI agents.
Orchestrate CLI coding agents with auditability, lineage, compliance, and secure deployment.
Dispatch multiple agents in parallel to investigate and fix independent issues.
Plan multi-agent architectures, agent roles, and code collaboration strategies.
Conduct investment research using podcasts, SEC filings, and automated pipelines.