xbtlin

    xbtlin/ai-berkshire

    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.

    17.0K stars
    2.5K forks
    17.0K GitHub watchers
    Updated Nov 1, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

    Loading star history...

    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 208 days ago, with 15 contributors on GitHub.

    Peaked at #6 in the weekly ranking the week of Jun 28, its best in the past year.

    Use Cases & Benefits

    • Provides an AI-driven value investing research framework integrating methodologies from four investment masters with multi-agent parallel analysis.
    • Delivers structured, multi-perspective, and bias-resistant investment research with precise financial calculations for reproducible, decision-grade outputs.
    • Use for conducting comprehensive, multi-agent deep research on public companies combining Buffett, Munger, Duan Yongping, and Li Lu's investment philosophies.
    • Use for screening and funneling industry-wide investment opportunities through layered quantitative and qualitative filters to build diversified portfolios.
    • Use for rapid attribution of stock price movements by analyzing company events, regulatory changes, industry competition, and market sentiment in minutes.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present
    • Contributing guide: present
    • Code of conduct: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    English | 中文

    "Price is what you pay, value is what you get." — Warren Buffett

    用 AI 重新定义投资研究的深度与效率。

    AI Berkshire 是一套基于 Claude Code 的投资研究 Skill 合集,将巴菲特、芒格、段永平、李录四位价值投资大师的方法论系统化、结构化,通过 AI Agent 实现专业级投资研究。

    一个人 + Claude = 一个投研团队。

    不是纸上谈兵。这套框架背后是真金白银验证的投资体系。

    Excerpt from the xbtlin/ai-berkshire README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    2.5K+305

    Open issues

    39+13

    Compared with peers in AI

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth

    xbtlin/ai-berkshire compared with AI repositories by stars, 7-day star growth, health score and last release
    RepositoryStars+7dHealthLast release
    D4Vinci/Scrapling101.1K+6.3K756 days ago
    thedotmack/claude-mem115.8K+4.7K75today
    heygen-com/hyperframes82.3K+4.0K75today
    harry0703/MoneyPrinterTurbo142.0K+3.8K753 days ago
    github/spec-kit149.2K+2.6K75today
    xbtlin/ai-berkshire17.0K—47208 days ago
    Category median115.8K+4.0K75—

    Discover Repositories

    Search across tracked repositories by name or description