head to head · open source

ragflow vs PocketFlow

ragflow has 91,015 GitHub stars, 10,780 forks, 1,525 open issues and last shipped today. PocketFlow has 11,185 stars, 1,212 forks, 75 open issues and last shipped 2 months ago. ragflow leads on adoption by 714% (91,015 vs 11,185 stars). ragflow is written in Go under Apache-2.0; PocketFlow is written in Python under MIT. ragflow has attracted 12% as many forks as stars, PocketFlow 11%. ragflow was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (agentic-ai), 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 PocketFlow ★ 11K category AI & Machine Learning

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Side by side

ragflow PocketFlow
GitHub stars ★ 91K ★ 11K
License Apache-2.0 MIT
Written in Go Python
Last push 2026-09-20 2026-07-26
Forks ⑂ 11K ⑂ 1.2K
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 PocketFlow if

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

full PocketFlow 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 PocketFlow

PocketFlow is a 100 line, zero dependency Python framework for building LLM agents, multi agent systems, workflows, and RAG pipelines, aimed at developers who want graph based orchestration without the weight of larger frameworks.

read the full PocketFlow 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 PocketFlow more popular?

ragflow has 91,015 GitHub stars and PocketFlow has 11,185. ragflow has the larger community by that measure.

Are ragflow and PocketFlow free?

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

What is the difference between ragflow and PocketFlow?

ragflow is written in Go and PocketFlow 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 PocketFlow?

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