CrewAI vs n8n

When to pick CrewAI

• You want to build multi-agent systems in code — CrewAI’s MIT-licensed Python framework models role-based crews and stateful flows with hierarchical processes, Pydantic outputs, and human-in-the-loop checkpoints.
• You need permissive licensing — the framework is MIT-licensed and free to self-host with no execution cap, unlike n8n’s FairCode restriction on commercial redistribution.
• You’re standardizing agent observability — OpenTelemetry tracing is built in on the free tier, so every agent call and task transition is traceable without extra instrumentation.

When to pick n8n

• You need to connect many apps fast — n8n ships 500+ pre-built integration nodes plus an HTTP node for any REST API, far more out-of-the-box connectors than CrewAI’s enterprise set.
• You want predictable self-serve pricing — Cloud plans run €20/mo (2,500 executions) and €50/mo (10,000), whereas CrewAI jumps straight from free to a custom Enterprise quote.
• You want a visual canvas with a code escape hatch — drag-and-drop workflows with native JavaScript and Python nodes suit mixed teams building AI agents alongside plain automation.

Bottom line

CrewAI and n8n overlap on “build AI agents” but start from opposite ends. CrewAI is agent-native: you write Python to define crews, roles, and flows, get MIT licensing and built-in OpenTelemetry tracing, and self-host with no execution limit — the stronger choice when multi-agent coordination is the core product. n8n is automation-native: a visual canvas with 500+ integrations and code nodes, self-serve cloud pricing from €20/mo, and a free Community Edition, best when the job is wiring LLMs and agents into existing SaaS workflows. Choose CrewAI to engineer agent systems in code; choose n8n to automate across tools with an agent layer on top. Note that n8n’s cloud pricing is in euros and its FairCode license restricts embedding it in commercial products.