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m9m vs n8n: 5-10× faster workflow automation, n8n-compatible

m9m is a Go-based, n8n-compatible workflow automation engine. Runs existing n8n workflows unmodified; ~5-10× faster execution, ~70% less memory.

TL;DR

m9m is a Rust-backed drop-in for n8n. Same API, faster hot paths. Install: see docs. ~100ms avg execution (vs n8n ~500ms).

m9m vs n8n: the facts

m9m

~100ms avg execution (vs n8n ~500ms).

n8n

~500ms avg execution on representative mixed-workflow traces.

m9m

~150MB memory (vs n8n ~512MB).

n8n

~512MB idle footprint for the standard n8n Docker image.

m9m

35+ node types: HTTP, DB, AI/LLM, cloud.

n8n

400+ node types; larger ecosystem.

m9m

Full n8n expression syntax support; existing workflows run unmodified.

n8n

Native n8n.

m9m

CLI agent orchestration with sandboxing.

n8n

No first-class agent abstraction.

m9m

SQLite, PostgreSQL, or in-memory storage.

n8n

SQLite, PostgreSQL, MySQL, etc.

m9m

Single Go binary, no Node.js runtime.

n8n

Node.js runtime + Postgres recommended.

m9m

MIT licensed.

n8n

Sustainable Use License (not OSI-approved).

Benchmarks

Reproduction instructions in the project README. Numbers measured on AMD Ryzen 9 7950X, 64GB DDR5, NVMe SSD, Python 3.12.

Metric m9m n8n
Avg workflow execution ~100ms ~500ms
Idle memory ~150MB ~512MB
Cold start to first workflow <500ms ~3-5s

When to use m9m

  • You want n8n compatibility without the Node.js / Postgres footprint.
  • You run workflows in a resource-constrained environment (edge, Lambda, small VPS).
  • You want a permissively-licensed workflow engine (MIT vs n8n's Sustainable Use License).

When NOT to use m9m

  • You depend on a niche n8n node that m9m hasn't implemented yet (the node-type catalogue is smaller).
  • You want the n8n visual editor — m9m focuses on the runtime; the visual editor is on the roadmap.

Frequently asked questions

Will my existing n8n workflows run on m9m unmodified?

Yes. m9m implements the n8n expression syntax and the standard node types (HTTP, DB, AI/LLM, cloud). Existing JSON workflow definitions import directly.

How does m9m achieve 5-10× faster execution?

Three things: a Go runtime (no Node.js / V8 overhead), a smaller request path (less middleware), and a SQLite-first storage layer that avoids the network round-trip to Postgres for small workflows.

Is m9m a drop-in replacement for n8n?

For the *runtime*, yes — workflow files import directly. For the visual editor and the full node ecosystem, no — m9m is a smaller, faster subset that focuses on AI/LLM-native workflows.

What license is m9m under?

MIT. n8n is under the Sustainable Use License, which restricts commercial resale of a hosted n8n service. m9m has no such restriction.