n8n vs CrewAI vs LangGraph
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n8n, CrewAI, and LangGraph are the three names that show up when someone wants an AI agent builder and does not want a tour of every product that says "agent." They are not the same tool. On Best Agent Builder the editorial order is n8n, then LangGraph, then Dust, then CrewAI, then Relevance AI. This page is the three-way. Dust and Relevance AI stay on the list for a company assistant and a hosted ops pilot.
The verdict: open n8n (opens in a new tab) when a team already thinks in workflows and you may need to self-host. Open LangGraph (opens in a new tab) when engineers need explicit state, retries, and a graph they can test. Open CrewAI (opens in a new tab) when you want an approachable multi-agent demo and the role metaphor is enough. Check current pricing. We are not quoting a plan or a benchmark.
The full five-tool walk is Best AI agent builder. The page that starts from n8n is n8n alternatives. A roundup that separates builders from new models is Best AI agent builders. Zapier is not on the ranked list. The separate page is n8n vs Zapier for AI agents.
n8n, when the process already has a shape
n8n is the first editorial pick. The tagline is workflow automation you can self-host, with agent steps. It is the one to hand a team that already thinks in workflows. Triggers, branches, and a human approval step are first-class, and you can self-host. It is a workflow tool that grew agents, which is what most business tasks actually need.
If the work is "when this happens, do these steps, and stop for a person before the risky one," n8n matches. You are not inventing a role for each step. You are drawing the process. Self-hosting is part of the verdict. This page does not turn it into a price. Leave n8n when nobody wants to own a workflow, and the people who will maintain the agent want a graph they can test in code. That is the next section, not a failure of rank 1.
LangGraph, when you are writing software
LangGraph is second, ahead of CrewAI on this list. The tagline is a code library for agents with explicit state. It is the right pick when engineers need explicit state, retries, and a graph they can test. You are writing software, not dragging boxes. Skip it if nobody on the team wants to own that code.
That skip is the whole decision. A graph you can test is the reason to leave n8n. A graph nobody will own is the reason to stay. LangGraph is not the teaching demo. CrewAI is. Use LangGraph when the control flow is the product. Do not use it to avoid naming an operator. The ranking is explicit about that.
CrewAI, when the demo is the point
CrewAI is fourth. The tagline is a multi-agent framework built around roles. It is approachable for multi-agent demos, and the role metaphor is easy to teach. The abstraction leaks once the task needs strict control flow. Treat it as a starting point unless you have already outgrown the demo.
CrewAI is not between n8n and LangGraph. Dust is third. CrewAI sits at 4 because a role metaphor that is easy to teach is not a workflow someone else can run, or a graph an engineer can test. Strict control flow is the leak the verdict names. When you hit it, the list has already pointed at LangGraph for the graph and at n8n for the workflow.
Dust and Relevance AI are the other rows
Dust is third. It is a calmer product for company assistants over internal docs and tools. It is less flexible than a code framework, and more something a non-platform team will actually keep running. Relevance AI is fifth. It is a hosted builder for ops teams who want agents on top of spreadsheets and tools without standing up infrastructure. You trade control for speed, and the bill climbs once the workforce is real. We are not publishing the bill. Use Relevance AI (opens in a new tab) for that trade. Use Dust (opens in a new tab) when the operator is not a platform team and the source is internal docs.
Neither one is a third way to draw n8n's workflow or to write LangGraph's graph. If the sentence is a company assistant, or a hosted pilot, you have left this three-way. The alternatives page that includes all five is n8n alternatives.
Which sentence you are in
"This process needs a trigger, a branch, a human stop, and we may self-host" is n8n. "Engineers will own explicit state, retries, and a graph they can test" is LangGraph. "We are teaching a role-based demo, and the control flow is not strict yet" is CrewAI. "A non-platform team will keep a company assistant running" is Dust. "Ops wants a hosted builder and will trade control for speed" is Relevance AI.
If you cannot name who edits it in three months, you do not have a builder yet. The profiles are linked above. The order is Best Agent Builder. Check current pricing before you buy. The rank will not tell you the invoice.
The Ranked By Task team
Questions people ask
- Should I use n8n, CrewAI, or LangGraph?
- On Best Agent Builder, n8n is first for a team that already thinks in workflows, including a self-hosted option. LangGraph is second when engineers need explicit state, retries, and a graph they can test. CrewAI is fourth, for an approachable multi-agent demo.
- Which one can I self-host?
- n8n. Triggers, branches, and a human approval step are first-class, and you can self-host. The list calls it a workflow tool that grew agents. This page does not quote a price for that option.
- When is CrewAI the wrong production tool?
- When the task needs strict control flow. CrewAI is approachable, and the role metaphor is easy to teach. The abstraction leaks once the task needs that control. Treat it as a starting point unless you have already outgrown the demo.
- Where do Dust and Relevance AI fit?
- They are on the same agent list, third and fifth. Dust is a company assistant over internal docs. Relevance AI is a hosted builder for ops teams who will not stand up infrastructure. This page is the three-way.