head to head · open source

ragflow vs potpie

ragflow has 91,015 GitHub stars, 10,780 forks, 1,525 open issues and last shipped today. potpie has 5,729 stars, 676 forks, 109 open issues and last shipped yesterday. ragflow leads on adoption by 1,489% (91,015 vs 5,729 stars). ragflow is written in Go under Apache-2.0; potpie is written in Python under Apache-2.0. ragflow has attracted 12% as many forks as stars, potpie 12%. 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-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 ★ 91K potpie ★ 5.7K category AI & Machine Learning

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Side by side

ragflow potpie
GitHub stars ★ 91K ★ 5.7K
License Apache-2.0 Apache-2.0
Written in Go Python
Last push 2026-09-20 2026-09-19
Forks ⑂ 11K ⑂ 676
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 potpie if

  • You want the potpie feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and potpie fits your workflow better

full potpie 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 potpie

Potpie is an open source, Apache 2.0 licensed Python tool that turns a codebase and its software development lifecycle into a living context graph for AI coding agents, and it is built for developers and engineering teams whose agents need project specific context to answer questions, plan changes, debug failures, and write code.

read the full potpie overview →

More in AI & Machine Learning

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

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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 potpie more popular?

ragflow has 91,015 GitHub stars and potpie has 5,729. ragflow has the larger community by that measure.

Are ragflow and potpie free?

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

What is the difference between ragflow and potpie?

ragflow is written in Go and potpie in Python. 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 potpie?

Choose ragflow if you want the larger community (91,015 stars) or its Apache-2.0 licence terms. Choose potpie if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.