head to head · open source

ragflow vs adhd

ragflow has 93,460 GitHub stars, 11,215 forks, 1,525 open issues and last shipped yesterday. adhd has 4,501 stars, 298 forks, 14 open issues and last shipped 11 days ago. ragflow leads on adoption by 1,976% (93,460 vs 4,501 stars). ragflow is written in Go under Apache-2.0; adhd is written in TypeScript under MIT. ragflow has attracted 12% as many forks as stars, adhd 7%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (ai, ai-agents), 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 adhd ★ 4.5K category AI & Machine Learning

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Side by side

ragflow adhd
GitHub stars ★ 93K ★ 4.5K
License Apache-2.0 MIT
Written in Go TypeScript
Last push 2026-11-04 2026-10-25
Forks ⑂ 11K ⑂ 298
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 adhd if

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

full adhd 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 adhd

ADHD — a skill for agents 🎮 Join the Discord → for frame design, eval problems, and trap hunting in real time · 👉 Join the community → as a contributor, maintainer, or early adopter (one short form). An architectural fix for premature convergence in autoregressive reasoning. Linear Chain of Thought anchors on whatever it says first. Tree of Thought widens the search but still walks a single shared context, so the anchoring persists across branches. ADHD treats this as an architectural problem, not a prompting one — it spawns N isolated reasoning processes under deliberately distorted cognitive frames, with…

read the full adhd overview →

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Frequently asked questions

Is ragflow or adhd more popular?

ragflow has 93,460 GitHub stars and adhd has 4,501. ragflow has the larger community by that measure.

Are ragflow and adhd free?

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

What is the difference between ragflow and adhd?

ragflow is written in Go and adhd in TypeScript. 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 adhd?

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