head to head · open source

ragflow vs PI-Desktop

ragflow has 91,015 GitHub stars, 10,780 forks, 1,525 open issues and last shipped today. PI-Desktop has 4,547 stars, 384 forks, 102 open issues and last shipped today. ragflow leads on adoption by 1,902% (91,015 vs 4,547 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 8%. PI-Desktop 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 ★ 91K PI-Desktop ★ 4.5K category AI & Machine Learning

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Side by side

ragflow PI-Desktop
GitHub stars ★ 91K ★ 4.5K
License Apache-2.0 LGPL-3.0
Written in Go TypeScript
Last push 2026-09-20 2026-09-20
Forks ⑂ 11K ⑂ 384
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 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

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 PI-Desktop

PI Desktop is a local first desktop workspace for AI coding agents, built on an Electron shell with a Rust host core and the pi Agent Harness, extensible through user installable plugins, and aimed at developers who want agents working inside their own local projects against model providers they configure themselves.

read the full PI-Desktop overview →

More in AI & Machine Learning

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

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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 PI-Desktop more popular?

ragflow has 91,015 GitHub stars and PI-Desktop has 4,547. 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 (91,015 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.