head to head · open source

ragflow vs Mem0

ragflow has 90,889 GitHub stars, 10,759 forks, 1,525 open issues and last shipped yesterday. Mem0 has 65,505 stars, 7,683 forks, 742 open issues and last shipped yesterday. ragflow leads on adoption by 39% (90,889 vs 65,505 stars). ragflow is written in Go under Apache-2.0; Mem0 is written in Python under Apache-2.0. ragflow has attracted 12% as many forks as stars, Mem0 12%. Mem0 was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (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 ★ 91K Mem0 ★ 66K category AI & Machine Learning

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Side by side

ragflow Mem0
GitHub stars ★ 91K ★ 66K
License Apache-2.0 Apache-2.0
Written in Go Python
Last push 2026-09-17 2026-09-17
Forks ⑂ 11K ⑂ 7.7K
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 Mem0 if

  • You want the Mem0 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 Mem0 fits your workflow better

full Mem0 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 Mem0

Mem0 is an open source memory layer for AI agents and applications, designed to store, retrieve, and manage persistent context across interactions. It lives in the Python based AI development ecosystem and provides infrastructure that enables agents and apps to remember user preferences, conversation history, and state over time—moving beyond ephemeral chat sessions toward truly adaptive systems.

read the full Mem0 overview →

More in AI & Machine Learning

OpenClaw ★ 390K Hermes Agent ★ 246K Ollama ★ 181K Dify ★ 156K Open WebUI ★ 152K 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 daily_stock_analysis ragflow vs LiteLLM ragflow vs Multica

Frequently asked questions

Is ragflow or Mem0 more popular?

ragflow has 90,889 GitHub stars and Mem0 has 65,505. ragflow has the larger community by that measure.

Are ragflow and Mem0 free?

Both are open source. ragflow is licensed under Apache-2.0 and Mem0 under Apache-2.0. Neither carries a licence fee.

What is the difference between ragflow and Mem0?

ragflow is written in Go and Mem0 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 Mem0?

Choose ragflow if you want the larger community (90,889 stars) or its Apache-2.0 licence terms. Choose Mem0 if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.