head to head · open source

ragflow vs ai-berkshire

ragflow has 93,460 GitHub stars, 11,215 forks, 1,525 open issues and last shipped yesterday. ai-berkshire has 17,005 stars, 2,495 forks, 38 open issues and last shipped 4 days ago. ragflow leads on adoption by 450% (93,460 vs 17,005 stars). ragflow is written in Go under Apache-2.0; ai-berkshire is written in HTML under MIT. ragflow has attracted 12% as many forks as stars, ai-berkshire 15%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), 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.

ragflow ★ 93K ai-berkshire ★ 17K category AI & Machine Learning

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Side by side

ragflow ai-berkshire
GitHub stars ★ 93K ★ 17K
License Apache-2.0 MIT
Written in Go HTML
Last push 2026-11-04 2026-11-01
Forks ⑂ 11K ⑂ 2.5K
Self-hosting Yes Yes
Data ownership Your server Your server

pick ragflow if

  • You weight community size — 93K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full ragflow 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 ragflow

Cloud Documentation Roadmap Discord 📕 Table of Contents 💡 What is RAGFlow? 🎮 Get Started 🔥 Latest Updates 🌟 Key Features 🔎 System Architecture 🎬 Self Hosting 🔧 Configurations 🔧 Build a Docker Image 🔨 Launch Service from Source for Development 📚 Documentation 📜 Roadmap 🏄 Community 🙌 Contributing 💡 What is RAGFlow? RAGFlow is a leading open source Retrieval Augmented Generation (RAG) engine that fuses cutting edge RAG with Agent capabilities to create a superior context layer for LLMs. It offers a streamlined RAG workflow adaptable to enterprises of any scale. Powered by a converged context engine…

read the full ragflow 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 ragflow or ai-berkshire more popular?

ragflow has 93,460 GitHub stars and ai-berkshire has 17,005. ragflow has the larger community by that measure.

Are ragflow and ai-berkshire free?

Both are open source. ragflow is licensed under Apache-2.0 and ai-berkshire under MIT. Neither carries a licence fee.

What is the difference between ragflow and ai-berkshire?

ragflow is written in Go 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, ragflow or ai-berkshire?

Choose ragflow if you want the larger community (93,460 stars) or its Apache-2.0 licence terms. Choose ai-berkshire if its feature set, stack or MIT licence fits better. Both are self-hostable.