head to head · open source

ragflow vs AnythingLLM

ragflow has 93,319 GitHub stars, 11,202 forks, 1,525 open issues and last shipped yesterday. AnythingLLM has 67,836 stars, 7,652 forks, 311 open issues and last shipped 4 days ago. ragflow leads on adoption by 38% (93,319 vs 67,836 stars). ragflow is written in Go under Apache-2.0; AnythingLLM is written in JavaScript under MIT. ragflow has attracted 12% as many forks as stars, AnythingLLM 11%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 3 topic tags (agent-harness, agentic-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 AnythingLLM ★ 68K category AI & Machine Learning

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Side by side

ragflow AnythingLLM
GitHub stars ★ 93K ★ 68K
License Apache-2.0 MIT
Written in Go JavaScript
Last push 2026-11-02 2026-10-30
Forks ⑂ 11K ⑂ 7.7K
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 AnythingLLM if

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

full AnythingLLM 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 AnythingLLM

[!NOTE] We are also working on Open Computer which gives an entire computer environment for AI Agents to use. This will bring AnythingLLM's agent capabilities to a new level and a novel UX paradigm for AI Agent use. ⭐ Star the repo to stay updated! AnythingLLM: The all in one AI app you were looking for. Chat with your docs, use AI Agents, hyper configurable, multi user, & no frustrating setup required. Docs Hosted Instance English · 简体中文 · 日本語 👉 AnythingLLM for desktop (Mac, Windows, & Linux)! Download Now Chat with your docs. Automate complex workflows with AI Agents. Hyper configurable, multi user ready…

read the full AnythingLLM overview →

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Frequently asked questions

Is ragflow or AnythingLLM more popular?

ragflow has 93,319 GitHub stars and AnythingLLM has 67,836. ragflow has the larger community by that measure.

Are ragflow and AnythingLLM free?

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

What is the difference between ragflow and AnythingLLM?

ragflow is written in Go and AnythingLLM in JavaScript. 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 AnythingLLM?

Choose ragflow if you want the larger community (93,319 stars) or its Apache-2.0 licence terms. Choose AnythingLLM if its feature set, stack or MIT licence fits better. Both are self-hostable.