head to head · open source

orm vs m_flow

orm has 47,661 GitHub stars, 2,605 forks, 2,627 open issues and last shipped 2 days ago. m_flow has 4,511 stars, 256 forks, 13 open issues and last shipped 2 months ago. orm leads on adoption by 957% (47,661 vs 4,511 stars). orm is written in TypeScript under Apache-2.0; m_flow is written in Python under Apache-2.0. orm has attracted 5% as many forks as stars, m_flow 6%. orm was the more recently maintained of the two, and both are self-hostable with no licence fee.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

orm ★ 48K m_flow ★ 4.5K category Infrastructure & Operations

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Side by side

orm m_flow
GitHub stars ★ 48K ★ 4.5K
License Apache-2.0 Apache-2.0
Written in TypeScript Python
Last push 2026-11-03 2026-09-01
Forks ⑂ 2.6K ⑂ 256
Self-hosting Yes Yes
Data ownership Your server Your server

pick orm if

  • You weight community size — 48K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full orm profile →

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

full m_flow profile →

About orm

Docs Discord X Blog Post Architecture Using Prisma 7? It remains fully supported. Its source lives on the v7 branch of this repository and its docs at prisma.io/docs/orm/v7. Prisma 8 is a release candidate. 8.0.0 final is expected in the next four to eight weeks. Until then a release candidate may include breaking changes, and every release ships with an upgrade recipe that the prisma 8 skill applies for you. The candidate is a complete implementation we stand behind: we treat bugs in it as urgent, and the risk you take on is a feature that is not built yet rather than churn. The feature scoreboard names every…

read the full orm 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 orm or m_flow more popular?

orm has 47,661 GitHub stars and m_flow has 4,511. orm has the larger community by that measure.

Are orm and m_flow free?

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

What is the difference between orm and m_flow?

orm is written in TypeScript 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, orm or m_flow?

Choose orm if you want the larger community (47,661 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.