head to head · open source
ragflow vs Mem0
ragflow has 93,365 GitHub stars, 11,207 forks, 1,525 open issues and last shipped yesterday. Mem0 has 68,288 stars, 8,104 forks, 742 open issues and last shipped 4 days ago. ragflow leads on adoption by 37% (93,365 vs 68,288 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%. ragflow 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.
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Side by side
| ragflow | Mem0 | |
|---|---|---|
| GitHub stars | ★ 93K | ★ 68K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-02 | 2026-10-30 |
| Forks | ⑂ 11K | ⑂ 8.1K |
| 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
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
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 Mem0
Learn more · Join Discord · Demo 📄 Benchmarking Mem0's token efficient memory algorithm → New Memory Algorithm (April 2026) All benchmarks run on the same production representative model stack. Single pass retrieval (one call, no agentic loops) at a top 200 retrieval budget. Scores reflect Mem0's managed platform, which includes proprietary optimizations not available in the open source SDK; open source users should expect directionally similar gains but not identical numbers. What changed: Single pass ADD only extraction one LLM call, no UPDATE/DELETE. Memories accumulate; nothing is overwritten. Agent…
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Frequently asked questions
Is ragflow or Mem0 more popular?
ragflow has 93,365 GitHub stars and Mem0 has 68,288. 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 (93,365 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.