Google PageRank for AI agents. 25,000+ tools indexed.

ai-berkshire MCP Server

xbtlin/ai-berkshire

Score: 80.3 Rank #1839 Agent Framework
Are you the maintainer of xbtlin/ai-berkshire? Claim this listing →

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.

Add AgentRank to Claude Code Discover and compare tools like xbtlin/ai-berkshire — your AI finds the right one automatically
Get API Access →
claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

xbtlin/ai-berkshire is a HTML tool licensed under MIT. 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. Topics: ai, ai-agent, anthropic, berkshire-hathaway, charlie-munger, china-stock, claude, claude-code, financial-analysis, fintech, fundamental-analysis, investment, investment-research, llm, mcp, portfolio-management, stock-analysis, stock-market, value-investing, warren-buffett.

Ranked #1839 out of 24840 indexed tools.

In the top 8% of all indexed tools.

Has 16,528 GitHub stars.

Has 15 contributors.

Actively maintained with commits in the last week.

Ecosystem

HTML MIT
aiai-agentanthropicberkshire-hathawaycharlie-mungerchina-stockclaudeclaude-codefinancial-analysisfintechfundamental-analysisinvestmentinvestment-researchllmmcpportfolio-managementstock-analysisstock-marketvalue-investingwarren-buffett

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 16,528

16,528 stars → extremely popular

Freshness 25% today

Last commit today → actively maintained

Issue Health 25% 39%

26/66 issues closed → many open issues

Contributors 10% 15

15 contributors → active community

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 2,470
Description Detailed
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Issue Health high impact

You have 40 open vs 26 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

AgentRank score for xbtlin/ai-berkshire
[![AgentRank](https://agentrank-ai.com/api/badge/tool/xbtlin--ai-berkshire)](https://agentrank-ai.com/tool/xbtlin--ai-berkshire/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/tool/xbtlin--ai-berkshire/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/xbtlin--ai-berkshire" alt="AgentRank"></a>

Embed Widget docs →

Embed a rich score widget on your site or blog.

<script src="https://agentrank-ai.com/embed.js" data-tool="xbtlin/ai-berkshire"></script>

Matched Queries

topic:mcp

From the README

中文 | [English](README_EN.md) | [日本語](README_JA.md)

# AI Berkshire - AI 时代的价值投资研究框架

> "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** 是一套同时兼容 Claude Code 与 Codex 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 Code / Codex = 一个投研团队。

> 📮 **仓库是全量框架,公众号是精选。** 真正值得深研的公司,加上报告之外我自己的判断与取舍,都在微信公众号「**复利炼丹炉**」——[扫码关注 ↓](#精选研究首发于公众号)

> 📊 **日更内容是研究报告,全部在 [研究报告索引](reports/README.md)。** 2354 份报告 · 110 家公司 · 23 个专题,按公司与专题分组,更新至 2026-09-22。

[实盘业绩](#real-track-record) · [为什么不能直接问AI](#为什么不能直接问-ai) · [Skills 一览](#skills-一览20个) · [快速开始](#快速开始) · [实战报告](#实战研究报告) · [研究索引](reports/README.md) · [设计理念](#设计理念) · [公众号](#精选研究首发于公众号)

---

## Real Track Record

> 不是纸上谈兵。这套框架背后是真金白银验证的投资体系。

### 2024 全年收益:+69.29%

### 2025 全年收益:+66.38%

### 与主要指数对比

| 指标 | 2024 全年 | 2025 全年 |
|------|----------|----------|
| **本框架实盘** | **+69.29%** | **+66.38%** |
| 恒生指数 | +17.67% | +27.77% |
| 标普500 | +23.31% | +16.39% |
| 沪深300
Read full README on GitHub →

Get the weekly AgentRank digest

Top movers, new tools, ecosystem insights — straight to your inbox.