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CrewAI vs n8n
A plain-English comparison to help you choose between them.
CrewAI is a code framework for agent systems and n8n a workflow engine with agent nodes, which sounds closer than the two products actually are. Pick CrewAI when collaboration between agents is itself the engineering problem: role-based agents assembled into crews in Python, with abstractions readable enough to prototype quickly and argue about honestly. Pick n8n when the need is workflows that happen to include AI: visual flows with real code where nodes run out, first-class agentic steps, self-hosting for data residency and execution-based pricing at volume.
Side by side
- Summary
CrewAI is the Python framework for role-based multi-agent systems: define agents with roles, goals and tools, assemble them into crews, and orchestrate how they collaborate on a task.
- Best for
- Role-based multi-agent systems in Python
- Prototyping crews quickly with readable abstractions
- Expressing collaboration patterns explicitly
- Cost
- Free
- Ease
- Openness
- Runs privately (self-hostable)
- Data
- Data flows wherever your agents send it, so the privacy posture is whatever you build.
- Summary
n8n is the engineer's automation platform: open source and self-hostable, with execution-based pricing that keeps high-volume workflows economical, visual nodes that accept real code when logic demands it, and first-class support for AI and agentic flows.
- Best for
- Self-hosted automation with data residency
- Execution-based pricing at high volume
- Visual flows with real code where needed
- Cost
- Freemium (Free tier + paid plans)
- Ease
- Openness
- Runs privately (self-hostable)
- Data
- Execution-based pricing (whole workflow = one execution) is usually cheaper than per-task, but AI Workflow Builder credits (50 Starter / 150 Pro) and any LLM API calls you wire in are metered separately, and Business overage is roughly €4,000 per 300,000 extra executions. The sticker price is not the whole bill. Self-hosting shifts cost to your own infrastructure/maintenance.
Common questions
n8n has agent nodes, so when is a framework still needed?
When the agents' interaction is the design. n8n's AI and agent steps serve workflows: a pipeline that fetches, decides, transforms and delivers. CrewAI exists for systems where several agents with roles and goals collaborate on a task, and the collaboration pattern itself needs expressing, testing and reasoning about. If drawing the flow feels like fighting the canvas, that is the signal.
What operational work does each carry?
Different kinds. CrewAI is a free framework, and production hardening is the adjacent work: observability, reliability and controls come from the platform you build around it, because unattended crews inherit every agent's failure modes at once. Self-hosted n8n is a platform you operate: server, updates, uptime, and a concentrated credential store to secure. Neither hands you production for free.
Who on the team should own each?
CrewAI belongs to engineers: it is Python, and its value assumes people who want to express systems in code. n8n sits with technical operators: steeper than consumer platforms, but drawable, with code as the escape hatch rather than the medium. A team with no engineering capacity should honestly use neither and start on the managed platforms instead.
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Tool facts last checked July 2026