CrewAI vs Dify
Both are alternatives to OpenAI AgentKit. Here's how they stack up — verified facts, no spin.
Also searched as Dify vs CrewAI — same comparison, one verdict.
CrewAI is open source (MIT) and Dify is not (Modified Apache-2.0 (source-available, not OSI open source)) — so the real question is whether you want to own the ai agent frameworks stack or rent it.
CrewAI
Agents as a team with roles — the fastest thing here to get working.
CrewAI frames the problem as staffing rather than graph theory: you define agents with a role, a goal and a backstory, hand the crew a task, and it coordinates them. That abstraction is the lowest barrier to entry in the category and it is why CrewAI has the most stars of the pure frameworks here — around 56.4k on 2026-07-30 — with roughly 5.2 million monthly downloads. It is independent of LangChain, which some teams specifically want. The trade is control: when the crew does something strange, there is more framework between you and the reason than there is in LangGraph.
Dify
The visual builder AgentKit was — but read the licence before you commit.
Dify is the closest replacement for Agent Builder specifically: a visual canvas for wiring prompts, tools, retrieval and branching, with a hosted-app layer on top, so a team that liked drawing the workflow does not have to start writing graphs in Python. It is by far the most-starred project in this comparison at around 150.8k. One important correction to how it is usually described. Dify is very widely listed as open source, and its own licence file is headed "Open Source License", but the text is a modified Apache-2.0 with two additional conditions: you may not use the source to operate a multi-tenant service without written authorisation, and you may not remove or alter Dify's logo and copyright notices in the frontend. Those restrictions mean it does not meet the Open Source Definition. It is source-available. For most internal use that changes nothing; if you intend to build a product for your own customers on top of it, it changes everything, and it is exactly the clause people discover late.
Side by side
6 points of comparison, every one read from a verified field. Green marks the side that wins a row outright. A dash means we do not hold that fact — never that it is zero.
| CrewAI | Dify | |
|---|---|---|
| Sovereignty ScoreOur transparent 0–100 composite for data ownership and exit cost. | 90 | 72 |
| Open source | Yes | No |
| Self-hostable | Yes | Yes |
| Local-first data | Yes | Yes |
| License | MIT | Modified Apache-2.0 (source-available, not OSI open source) |
| Pricing | Free and open source. CrewAI Enterprise is a separate commercial platform. | Free to self-host within the licence terms. Dify Cloud and a commercial licence are paid. |
CrewAI edges it on the Sovereignty Score, but the right pick depends on the trade-offs below.
CrewAI
Strengths
- +Fastest path from idea to a working multi-agent system
- +Role-and-goal abstraction is genuinely intuitive to reason about
- +Standalone — no LangChain dependency to inherit
- +Large, active community and plenty of worked examples
Trade-offs
- −Less control over execution than an explicit graph
- −Harder to debug when a crew misbehaves — the abstraction hides the path
- −Weaker state persistence story for long-running work
- −Company-controlled, with an enterprise tier alongside it
Dify
Strengths
- +The nearest thing to Agent Builder's visual canvas — smallest conceptual jump
- +Self-hostable, with retrieval, tools and app hosting in one product
- +Enormous community and the most stars of anything in this comparison
- +Non-engineers can read and change the workflow, which is rare here
Trade-offs
- −Not open source despite near-universal description as such — multi-tenant use needs a commercial licence
- −Branding and logo may not be removed from the frontend
- −Visual workflows are harder to review, diff and version than code
- −Single-vendor control, and the licence explicitly reserves the right to tighten
Which one fits you
The trade-offs above, turned into a decision. Find the line that describes your team.
Choose CrewAI
if you want the source and the option to fork it, and fastest path from idea to a working multi-agent system.
Choose Dify
if the nearest thing to Agent Builder's visual canvas — smallest conceptual jump.
Neither, yet
if both carry a real cost you should weigh first — less control over execution than an explicit graph, and not open source despite near-universal description as such — multi-tenant use needs a commercial licence. If either of those is a dealbreaker for your team, the shortlist is wrong rather than the choice.
CrewAI vs Dify — common questions
Is CrewAI a better fit than Dify for ai agent frameworks?
It depends on what you are optimising for, and the honest split is this: CrewAI scores 90 to Dify's 72 on data ownership and exit cost, so it is the safer choice if you care about being able to leave. Dify earns its place on a different axis — the nearest thing to Agent Builder's visual canvas — smallest conceptual jump. Neither is a wrong answer for every team; the table above is the actual comparison.
What happens if we want to switch later?
CrewAI keeps its data local or in open formats, so leaving is an export rather than a negotiation. Dify is still self-hostable, so the files stay on your server either way — but it is not local-first by design, so check what its export produces before you rely on it.
Can I self-host CrewAI or Dify?
Both can be self-hosted. The difference is what it costs you in time rather than whether it is possible — see the setup and maintenance rows above.
Are CrewAI and Dify both alternatives to OpenAI AgentKit?
Yes — both appear in our OpenAI AgentKit comparison, which is why they are worth putting side by side. People usually arrive here already having decided to move off OpenAI AgentKit and now choosing between the two replacements, which is a narrower and much easier question.
More OpenAI AgentKit head-to-heads
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Facts verified 2026-07-30. Licenses and pricing change — spotted something out of date? That's a correction we want.