Which requires less RAM: Dify or n8n?

n8n uses less memory (2 GB) compared to Dify (4 GB).

Which tool is more popular on GitHub: Dify or n8n?

n8n leads with 56,400 GitHub stars versus 0 for Dify.

Can I host both Dify and n8n on the same VPS?

Yes! Combining both applications requires at least 6 GB of RAM plus operating system overhead. A 4GB to 8GB VPS easily accommodates both.

Head-to-Head Technical Benchmark

Dify vs n8n

Technical hardware and popularity breakdown for self-hosting Dify and n8n on cloud VPS servers.

Canonical Comparison URL: /compare/dify-vs-n8n

Interactive Tool Matchup

Switch Matchup or Select New Apps

Change Candidate A or Candidate B to compare specs against any open-source tool in the directory.

Candidate A

Candidate B

Candidate A

Dify

langgenius/dify

★ 0

Production-grade LLM application development platform blending agentic workflows and RAG pipelines.

Min RAM

4 GB

CPU Cores

2 vCPU

Disk Storage

30 GB

Deploy Dify Docker Compose →

Candidate B

n8n

n8n-io/n8n

★ 56.4k

Fair-code workflow automation platform with 400+ native integrations and custom JS/Python nodes.

Min RAM

2 GB

Lower RAM

CPU Cores

1 vCPU

Disk Storage

20 GB

Deploy n8n Docker Compose →

Full Technical Benchmark Breakdown

Specification	Dify	n8n	Advantage
Primary Category	ai-llms	automation	—
Minimum RAM Required	4 GB	2 GB	n8n (2 GB lighter)
GitHub Stars	★ 0	★ 56,400	n8n (+56,400 stars)
GitHub Forks	0	7,800	n8n
License	FOSS	Sustainable-Use	Open-Source
Primary Language	N/A	TypeScript	—
Docker Image	langgenius/dify-api:latest	docker.n8n.io/n8nio/n8n:latest	Both Container Ready

Multi-App Server Sizing

Can You Run Both Dify & n8n Together?

Yes! Running both simultaneously requires approximately 9 GB RAM including host OS and Docker daemon buffers. A single standard $6-$10/mo cloud VPS easily hosts both without bottlenecks.

Open VPS RAM Calculator Deploy 9GB VPS ($6.99/mo) →