head to head · open source

Agent-Reach vs ai-berkshire

Agent-Reach has 108,014 GitHub stars, 9,640 forks, 137 open issues and last shipped 2 days ago. ai-berkshire has 16,986 stars, 2,491 forks, 38 open issues and last shipped 2 days ago. Agent-Reach leads on adoption by 536% (108,014 vs 16,986 stars). Agent-Reach is written in Python under MIT; ai-berkshire is written in HTML under MIT. Agent-Reach has attracted 9% as many forks as stars, ai-berkshire 15%. ai-berkshire was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai-agent, claude-code), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Agent-Reach ★ 108K ai-berkshire ★ 17K category AI & Machine Learning

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Side by side

Agent-Reach ai-berkshire
GitHub stars ★ 108K ★ 17K
License MIT MIT
Written in Python HTML
Last push 2026-11-01 2026-11-01
Forks ⑂ 9.6K ⑂ 2.5K
Self-hosting Yes Yes
Data ownership Your server Your server

pick Agent-Reach if

  • You weight community size — 108K stars and counting
  • You want the MIT license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full Agent-Reach profile →

pick ai-berkshire if

  • You want the ai-berkshire feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches HTML
  • You evaluated both and ai-berkshire fits your workflow better

full ai-berkshire profile →

About Agent-Reach

👁️ Agent Reach 给你的 AI Agent 一键装上互联网能力 当下最稳的接入方式,替你选好、装好、体检好——接入方式会换代,你不用操心 快速开始 · English · 日本語 · 한국어 · 支持平台 · 设计理念 ❤️赞助商 想出现在这里? 点击折叠 BrowserAct 支持从 Amazon、LinkedIn、X、Google Maps 等复杂网站提取你需要的任意数据。你只需用自然语言描述抓取需求,Agent 就会基于真实浏览器自动探索并测试页面流程,生成可靠、可复用的数据采集 Bot,并返回结构化结果。无需手动构建爬虫,无需编写代码。BrowserAct 内置隐身浏览、验证码处理和高质量住宅代理,帮助你更稳定地完成复杂网页数据采集。新用户注册即送 1000 积分, 立即免费试用 。 在腾讯云 Lighthouse 秒级部署 OpenClaw 全能助手,可通过对话丝滑接入 Agent Reach,给你的 OpenClaw 一键装上互联网能力。 CoreClaw 网页抓取平台与现成数据采集工具,CoreClaw 提供 100+ 现成数据采集工具,支持 Amazon、TikTok、Google Maps、Instagram、Facebook、YouTube 等平台,无需代码,支持 JSON/CSV 导出,仅对成功结果计费。 免费$3测试! 优刻得星图astraflow大模型…

read the full Agent-Reach overview →

About ai-berkshire

中文 English 日本語 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 ↓ 📊 日更内容是研究报告,全部在 研究报告索引。 2346 份报告 · 110 家公司 · 23 个专题,按公司与专题分组,更新至 2026 09 12。 实盘业绩 · 为什么不能直接问AI · Skills 一览 · 快速开始 · 实战报告 · 研究索引 · 设计理念 · 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 2024 年超额收益 :跑赢标普500 46个百分点 ,跑赢恒生指数…

read the full ai-berkshire overview →

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Frequently asked questions

Is Agent-Reach or ai-berkshire more popular?

Agent-Reach has 108,014 GitHub stars and ai-berkshire has 16,986. Agent-Reach has the larger community by that measure.

Are Agent-Reach and ai-berkshire free?

Both are open source. Agent-Reach is licensed under MIT and ai-berkshire under MIT. Neither carries a licence fee.

What is the difference between Agent-Reach and ai-berkshire?

Agent-Reach is written in Python and ai-berkshire in HTML. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Agent-Reach or ai-berkshire?

Choose Agent-Reach if you want the larger community (108,014 stars) or its MIT licence terms. Choose ai-berkshire if its feature set, stack or MIT licence fits better. Both are self-hostable.