head to head · open source
Milvus vs m_flow
Milvus has 46,578 GitHub stars, 4,327 forks, 1,405 open issues and last shipped yesterday. m_flow has 4,511 stars, 256 forks, 13 open issues and last shipped 2 months ago. Milvus leads on adoption by 933% (46,578 vs 4,511 stars). Milvus is written in Go under Apache-2.0; m_flow is written in Python under Apache-2.0. Milvus has attracted 9% as many forks as stars, m_flow 6%. Milvus was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), 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
| Milvus | m_flow | |
|---|---|---|
| GitHub stars | ★ 47K | ★ 4.5K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-04 | 2026-09-01 |
| Forks | ⑂ 4.3K | ⑂ 256 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Milvus if
- You weight community size — 47K 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 m_flow if
- You want the m_flow 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 m_flow fits your workflow better
About Milvus
What is Milvus? 🐦 Milvus is a high performance vector database built for scale. It powers AI applications by efficiently organizing and searching vast amounts of unstructured data, such as text, images, and multi modal information. 🧑💻 Written in Go and C++, Milvus implements hardware acceleration for CPU/GPU to achieve best in class vector search performance. Thanks to its fully distributed and K8s native architecture, Milvus can scale horizontally, handle tens of thousands of search queries on billions of vectors, and keep data fresh with real time streaming updates. Milvus also supports Standalone mode for…
read the full Milvus overview →
About m_flow
M flow RAG matches chunks. GraphRAG structures context. M flow scores evidence paths. Retrieval through reasoning and association — M flow operates like a cognitive memory system. m flow.ai · flowelement.ai · Quick Start · Architecture · Examples · OpenClaw Skill · Contact What is M flow? The real shift is not whether a system builds a graph, but what the graph is allowed to do at retrieval time. Graph topology encodes relevance. In most RAG systems, retrieval is still dominated by similarity: the query is embedded, textual units are ranked by vector distance, and structure—if present—mainly helps organize…
read the full m_flow overview →
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Frequently asked questions
Is Milvus or m_flow more popular?
Milvus has 46,578 GitHub stars and m_flow has 4,511. Milvus has the larger community by that measure.
Are Milvus and m_flow free?
Both are open source. Milvus is licensed under Apache-2.0 and m_flow under Apache-2.0. Neither carries a licence fee.
What is the difference between Milvus and m_flow?
Milvus is written in Go and m_flow 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, Milvus or m_flow?
Choose Milvus if you want the larger community (46,578 stars) or its Apache-2.0 licence terms. Choose m_flow if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.