head to head · open source
Milvus vs m_flow
Milvus has 46,166 GitHub stars, 4,257 forks, 1,405 open issues and last shipped today. m_flow has 4,506 stars, 258 forks, 13 open issues and last shipped 19 days ago. Milvus leads on adoption by 925% (46,166 vs 4,506 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.
← all 20902 open source comparisons
Side by side
| Milvus | m_flow | |
|---|---|---|
| GitHub stars | ★ 46K | ★ 4.5K |
| License | Apache-2.0 | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-09-20 | 2026-09-01 |
| Forks | ⑂ 4.3K | ⑂ 258 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Milvus if
- You weight community size — 46K 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
Milvus is a high performance, cloud native vector database written in Go and C++, designed to power AI applications by efficiently storing, indexing, and searching large scale unstructured data such as text, images, and multi modal embeddings. It implements hardware accelerated approximate nearest neighbor (ANN) search using algorithms like HNSW, FAISS, and DiskANN, and supports both real time streaming updates and batch ingestion. Milvus lives in the GenAI infrastructure ecosystem, serving as the persistent storage and retrieval layer for embedding based workloads including RAG, recommendation, and image search.…
read the full Milvus overview →
About m_flow
M flow is a Python bio inspired cognitive memory engine positioned as a new paradigm for Graph RAG. It lives in the LLM retrieval and agent memory ecosystem, as a database like component for knowledge graphs, episodic memory, long term memory, and MCP workflows.
read the full m_flow overview →
More in Infrastructure & Operations
Related comparisons
More Databases projects
Compare either of these against the rest of the Databases field.
Frequently asked questions
Is Milvus or m_flow more popular?
Milvus has 46,166 GitHub stars and m_flow has 4,506. 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 (46,166 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.