m9m vs n8n
A like-for-like comparison of m9m and n8n. When to pick each, what's compatible, what isn't, and the honest trade-offs.
TL;DR. m9m runs n8n workflow JSON unchanged, at 5–10× the speed, on 30% of the memory, as a single binary. n8n has the better visual editor and a much larger community node registry. If you author visually, stay on n8n; if you execute, embed, or ship agents, m9m is a better fit.
The one-liner
- m9m: a Go-native workflow runtime, single binary, zero mandatory infrastructure, first-class agent orchestration.
- n8n: a Node.js-based workflow automation platform, visual editor, large community, mature ecosystem.
Both are MIT-licensed (n8n has some enterprise features behind a paid tier; m9m ships those features free).
Side by side
| m9m | n8n | |
|---|---|---|
| Language | Go | Node.js / TypeScript |
| Ship format | 30 MB binary | Node app + Postgres |
| Cold start | ~500 ms | ~3 s |
| Idle memory | ~150 MB | ~512 MB |
| Container size | 300 MB | 1.2 GB |
| Concurrent workflows (per process) | 500 | 50 |
| Workflow format | n8n JSON (imported unchanged) | native |
| Expression engine | n8n-compatible | native |
| Built-in nodes | 32 | 400+ core + 1000+ community |
| Community node registry | — | large |
| Visual editor | minimal | polished |
| Agent nodes (sandboxed) | first-class | community-provided |
| MCP server | built-in (37 tools) | — |
| Git-based versioning | built-in | enterprise tier |
| Audit logs | built-in | enterprise tier |
| Multi-workspace | built-in | enterprise tier |
| Prometheus metrics | built-in | enterprise tier |
| SDKs (Go / Python / Node) | yes | Node only |
| License | MIT (fully) | MIT core + paid enterprise |
Where m9m wins
Performance. 5–10× faster execution on typical pipelines, sub-second cold starts, an order of magnitude more concurrent workflows per process. If you’re running a few hundred workflows, m9m fits on infra that n8n simply can’t.
Ship shape. One binary, no Node runtime, no required database. You can drop m9m onto a $10 VPS and it just runs. Containerised, it’s ~300 MB instead of ~1.2 GB.
Agent nodes. First-class sandboxed CLI nodes for Claude Code, Codex, and Aider. Namespace isolation, cgroup limits, network allow-lists built in. n8n has community nodes for these but no sandboxing story worth relying on.
MCP. m9m ships an MCP server that exposes 37 workflow-management tools to any MCP-aware LLM. n8n has no equivalent.
Enterprise features, free. Git-based versioning, audit logs, multi-workspace isolation, Prometheus metrics — included in the open-source release. These are n8n’s paid tier.
Embedability. Go, Python, and Node SDKs for running m9m inside another product. n8n is less amenable to embedding.
Where n8n wins
Visual editor. n8n’s drag-and-drop editor is mature, fast, and pleasant. m9m’s editor is utilitarian; for teams with non-technical authors, n8n is the better authoring environment.
Community node registry. n8n has a decade-long head start. The long tail of vendor integrations is broader — obscure CRMs, niche SaaS, regional payment processors. m9m covers the 80/20 and extends via HTTP Request + custom Go nodes.
Ecosystem. Tutorials, templates, YouTube content, consultants who already know n8n. m9m is younger; if the tool being well-trodden matters more than its properties, n8n wins by default.
Cloud offering. n8n has a hosted cloud product. m9m does not (yet).
Compatibility specifics
Workflow JSON — imports unchanged. Nodes, connections, triggers, expression references all map 1:1 for the 32 built-in types.
Expression syntax — {{ $json.field }}, {{ $node["name"].data }}, {{ $now.format("YYYY-MM-DD") }} all work. Built-in functions (string, math, array, date, object) match.
Triggers — cron schedules and webhooks match. Polling triggers (where n8n runs a fetch on a schedule and emits on change) require small adjustments in some cases; most work.
Credentials — re-entered on the m9m side. Formats (OAuth2 tokens, API keys, connection strings) match, so no schema translation is needed.
Community nodes — not automatic. Most are replaced with HTTP Request + a small template; the rest become custom Go nodes. See our migration case study for what that looked like on ~80 workflows.
When to pick m9m
- You run n8n self-hosted and are unhappy with its resource footprint.
- You want to embed a workflow engine inside a product.
- You are shipping agent workflows and want sandboxing + MCP out of the box.
- You want enterprise features without a paid tier.
- Your team is comfortable authoring workflows in JSON (or generating them with agents / scripts).
When to pick n8n
- Your team authors heavily via the visual editor and will feel the loss.
- You depend on several community nodes that would be expensive to replace.
- You need a mature cloud-hosted option rather than self-hosting.
Can I run both?
Yes — and for larger migrations this is often the right shape. Keep n8n as the authoring environment; run the production workload on m9m. n8n exports, m9m imports. We describe this pattern in n8n migrators.
Related
Need help shipping agents or migrating off n8n?
Neul Labs — the team behind m9m — takes on a limited number of consulting engagements each quarter. We help teams migrate n8n workflows, build custom Go nodes, sandbox AI agents in production, and design automation platforms that don't collapse under load.