head to head · open source

ragflow vs ai-berkshire

ragflow has 91,015 GitHub stars, 10,780 forks, 1,525 open issues and last shipped today. ai-berkshire has 16,450 stars, 2,455 forks, 38 open issues and last shipped yesterday. ragflow leads on adoption by 453% (91,015 vs 16,450 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 ★ 91K ai-berkshire ★ 16K category AI & Machine Learning

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Side by side

ragflow ai-berkshire
GitHub stars ★ 91K ★ 16K
License Apache-2.0 MIT
Written in Go HTML
Last push 2026-09-20 2026-09-19
Forks ⑂ 11K ⑂ 2.5K
Self-hosting Yes Yes
Data ownership Your server Your server

pick ragflow if

  • You weight community size — 91K 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

RAGFlow is an open source Retrieval Augmented Generation engine that fuses RAG with agent capabilities into a context layer for large language models, built for developers and teams that need to turn complex, unstructured documents into production AI systems.

read the full ragflow overview →

About ai-berkshire

AI Berkshire (ai berkshire) is an MIT licensed collection of value investing research skills for Claude Code and Codex that turns the methodologies of Warren Buffett, Charlie Munger, Duan Yongping and Li Lu into reproducible, multi agent fundamental analysis for individual investors and small research teams.

read the full ai-berkshire overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 247K Ollama ★ 181K Dify ★ 157K Open WebUI ★ 153K langchain ★ 147K

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openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs comfyui openclaw vs odysseus openclaw vs lobechat openclaw vs anythingllm openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs odysseus ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all

More AI Development Platforms projects

Compare either of these against the rest of the AI Development Platforms field.

ragflow vs Dify ragflow vs langchain ragflow vs ponytail ragflow vs generative-ai-for-beginners ragflow vs graphify ragflow vs claude-mem ragflow vs PaddleOCR ragflow vs Agent-Reach ragflow vs headroom ragflow vs Mem0 ragflow vs daily_stock_analysis ragflow vs LiteLLM

Frequently asked questions

Is ragflow or ai-berkshire more popular?

ragflow has 91,015 GitHub stars and ai-berkshire has 16,450. 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 (91,015 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.