head to head · open source

ragflow vs PI-Desktop

ragflow has 93,460 GitHub stars, 11,215 forks, 1,525 open issues and last shipped yesterday. PI-Desktop has 7,651 stars, 750 forks, 102 open issues and last shipped 2 days ago. ragflow leads on adoption by 1,122% (93,460 vs 7,651 stars). ragflow is written in Go under Apache-2.0; PI-Desktop is written in TypeScript under LGPL-3.0. ragflow has attracted 12% as many forks as stars, PI-Desktop 10%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee.

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 PI-Desktop ★ 7.7K category AI & Machine Learning

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Side by side

ragflow PI-Desktop
GitHub stars ★ 93K ★ 7.7K
License Apache-2.0 LGPL-3.0
Written in Go TypeScript
Last push 2026-11-04 2026-11-03
Forks ⑂ 11K ⑂ 750
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 PI-Desktop if

  • You want the PI-Desktop feature set and don't need the biggest community
  • You prefer the LGPL-3.0 license terms
  • Your stack matches TypeScript
  • You evaluated both and PI-Desktop fits your workflow better

full PI-Desktop 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 PI-Desktop

PI Desktop The desktop workspace for AI coding agents. Bring your own model. Open any local project. Let agents work — while you stay in control. Local first · Model agnostic · Extensible · macOS / Windows / Linux Download · Documentation · Screenshots · Build a Plugin · 简体中文 No PI Desktop account. No mandatory relay. No editor lock in. Projects and sessions stay on your machine. Model requests go directly to the provider or endpoint you configure. [!IMPORTANT] PI Desktop is in Early Preview. It is already usable for real coding workflows, while APIs, extension interfaces, and some desktop behaviors are still…

read the full PI-Desktop overview →

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Frequently asked questions

Is ragflow or PI-Desktop more popular?

ragflow has 93,460 GitHub stars and PI-Desktop has 7,651. ragflow has the larger community by that measure.

Are ragflow and PI-Desktop free?

Both are open source. ragflow is licensed under Apache-2.0 and PI-Desktop under LGPL-3.0. Neither carries a licence fee.

What is the difference between ragflow and PI-Desktop?

ragflow is written in Go and PI-Desktop 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 PI-Desktop?

Choose ragflow if you want the larger community (93,460 stars) or its Apache-2.0 licence terms. Choose PI-Desktop if its feature set, stack or LGPL-3.0 licence fits better. Both are self-hostable.