n8n vs Nexent

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

Tagline

n8n

Source-available workflow automation with first-class AI-agent and RAG building blocks.

Nexent

Open-source, zero-code platform for spinning up production-grade AI agents from a single natural-language prompt.

Pricing

n8n

Freemium· Starter: 20€ · Pro: 50€ · Business: 667€ · Enterprise: Contact Sales

Nexent

Free· Free, open-source (MIT); self-hosted infra + model API costs apply

Free trial

n8n

Yes

Nexent

Yes

API

n8n

Yes

Nexent

Yes

Platforms

n8n

api

Nexent

api

Open source

n8n

Yes · NOASSERTION

Nexent

Yes

GitHub stars

n8n

206,303

checked 2026-09-29

Nexent

—

Last GitHub push

n8n

2026-09-29

Nexent

—

First commit

n8n

2019-06

Nexent

—

Model used

n8n

Multi-model

Nexent

Multi-model (OpenAI-compatible: any LLM/Embedding/VLM/STT/TTS)

Best for

n8n

Pick n8n if you want to build AI agents and RAG pipelines on top of real production plumbing you can self-host and version-control.

Nexent

Pick Nexent if you want a self-hosted, MCP-native agent platform you can describe in plain language instead of wiring up in a canvas editor.

Not for

n8n

Skip it if you need a strict OSI-licensed framework, a pure-code agent SDK, or a no-engineer-required tool like Zapier.

Nexent

Skip it if you want a managed SaaS, a polished low-code UI, or a stable v1 API to build a production product on this quarter.

Editorial score

n8n

8.3 / 10

Nexent

7.2 / 10

Use cases

n8n

ai-agentsworkflow-automationrag-pipelinesdata-integrationwebhook-orchestrationinternal-tools

Nexent

multi-agent-orchestrationzero-code-agentsknowledge-base-ragenterprise-automationmcp-tool-integration

Pros

n8n

500+ integrations plus arbitrary JS/Python escape hatches
Self-hostable via Docker with full feature parity
Native nodes for LLMs, vector DBs, RAG, and MCP
Massive community (~194k GitHub stars) and node ecosystem
Built-in cron, queues, retries, credentials, and audit logs

Nexent

MIT-licensed and fully self-hostable on Docker or Kubernetes
Prompt-to-agent generation skips drag-and-drop canvas entirely
Model-agnostic across LLM, embedding, vision, STT and TTS slots
Built-in multi-tenancy, RBAC, A2A protocol, and agent marketplace
Knowledge base ingests 20+ document formats out of the box

Cons

n8n

Fair-Code license is not OSI-approved open source
Agent debugging gets messy on large multi-branch canvases
Cloud pricing scales by executions, can surprise heavy users
Steeper learning curve than Zapier for non-engineers

Nexent

Self-host only; no managed cloud offering to point at
Young project (v2.0); APIs and abstractions still evolving
Documentation is partly Chinese-first and uneven in English

Website

n8n

n8n.io

Nexent

nexent.tech

Editorial score: rule-based, 0–10, from AI-assisted profile inputs (see /methodology) — not a user rating; “—” means unscored. “Not listed” means we have no record of it, not that it is absent. GitHub figures and prices carry the date they were checked or captured; prices are shown as published, unconverted.

Pick n8n if

✅ 500+ integrations plus arbitrary JS/Python escape hatches
✅ Self-hostable via Docker with full feature parity
✅ Native nodes for LLMs, vector DBs, RAG, and MCP
✅ Massive community (~194k GitHub stars) and node ecosystem

Pick Nexent if

✅ MIT-licensed and fully self-hostable on Docker or Kubernetes
✅ Prompt-to-agent generation skips drag-and-drop canvas entirely
✅ Model-agnostic across LLM, embedding, vision, STT and TTS slots
✅ Built-in multi-tenancy, RBAC, A2A protocol, and agent marketplace

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