See the differences that matter.
Choose 2–3 products for a shared fact matrix, or read an editorial comparison for a specific task. Unknown means not verified, not unsupported.
| Selection question | CrewAICrewAI | DifyDify |
|---|---|---|
| Product type | Automated workflow | Automated workflow |
| Best suited for | Developers implementing role-based agent teams inside a structured workflow with explicit state and task boundaries. | Technical and business teams designing inspectable AI workflows or a custom knowledge application with deployment choice. |
| Shared / related tasks | ||
| Price model | Open-source framework · model costs · enterprise platformThe official documentation describes an open-source framework; the main site describes a managed enterprise platform with demo-led procurement. External model/tools and hosted enterprise features have separate costs and license conditions. | Cloud plans · self-hosted edition · separate model costsThe reviewed page lists cloud workspace limits and model/message credits, plus private deployment choices. A self-hosted edition does not include infrastructure or external model costs; license restrictions require separate inspection. |
| Price amount | Not verified — not assumed to be $0 | Not verified — not assumed to be $0 |
| Deployment | Locally operated framework or separately licensed managed/enterprise platform | Managed cloud, private/VPC, or self-hosted Community Edition |
| API | Yes (documented)Plan eligibility and exact endpoint scopes require confirmation.Source 1 | Yes (documented)Plan eligibility and exact endpoint scopes require confirmation.Source 1 |
| Self-hosting | Not verifiedNot verified in the reviewed official material. | Yes (documented)Documented deployment option; configuration and license conditions still need review.Source 1 |
| Open source | Not verifiedThe license of the exact distribution has not been established as an open-source license. | Not verifiedThe license of the exact distribution has not been established as an open-source license. |
| Inputs | Python workflow code or configured canvas, agent roles and tools, model access, state schema, event triggers, and acceptance criteria. | Workflow specification, knowledge documents, model/provider configuration, permitted tools, environment variables, and test cases. |
| Outputs | Crew task artifacts, Flow state transitions, connected-tool results, and managed-platform traces when enabled. | Configured agents and workflows, knowledge applications, web-app or API delivery, and execution paths to review. |
| Platform relationship | Not verified | Not verified |
| Permissions | Exact action scopes not verified | Exact action scopes not verified |
| Commercial use | Output rights, data-provider licenses, and applicable contractual conditions require review for the intended use. | Output rights, data-provider licenses, and applicable contractual conditions require review for the intended use. |
| Human review | Validate governance and action boundaries in a development environment before scheduling or publishing agents. Review generated code, dependencies, security boundaries, and CI before merging or deployment. | Validate governance and action boundaries in a development environment before scheduling or publishing agents. Review generated code, dependencies, security boundaries, and CI before merging or deployment. |
| Enterprise Operations · Knowledge connections | Not verifiedNot verified in the reviewed official material. | Not verifiedNot verified in the reviewed official material. |
| Enterprise Operations · Agent configuration | Role-based Crews inside structured stateful FlowsSource 1 | Visual workflow nodes, retrieval pipelines, tool use, and human-input stepsSource 1 |
| Enterprise Operations · Approval requirements | Not verifiedNot verified in the reviewed official material. | Not verifiedNot verified in the reviewed official material. |
| Enterprise Operations · Execution visibility | Managed platform tracing, cost accounting, and approval gatesSource 1 | Visible execution paths for testing and debuggingSource 1 |
| Enterprise Operations · Deployment options | Locally operated framework; managed enterprise build/runtimeSource 1 | Cloud, VPC/private, and self-hosted Community EditionSource 1 |
| Enterprise Operations · Data handling | Not verifiedNot verified in the reviewed official material. | Not verifiedNot verified in the reviewed official material. |
| Software Development · Development environment | Python framework and separate managed visual/canvas platformSource 1 | Visual workflow and knowledge-application workspaceSource 1 |
| Software Development · Repository access | Not verifiedNot verified in the reviewed official material. | Not verifiedNot verified in the reviewed official material. |
| Software Development · Execution permissions | Not verifiedNot verified in the reviewed official material. | Not verifiedNot verified in the reviewed official material. |
| Software Development · Change review | Not verifiedNot verified in the reviewed official material. | Not verifiedNot verified in the reviewed official material. |
| Software Development · Model providers | Not verifiedNot verified in the reviewed official material. | Not verifiedNot verified in the reviewed official material. |
| Software Development · Deployment options | Locally operated framework; managed enterprise build/runtimeSource 1 | Cloud, VPC/private, and self-hosted Community EditionSource 1 |
| Verification | Partially verified · 2026-10-02 | Partially verified · 2026-10-02 |
| Independent testing | Not conducted by uAgentKit | Not conducted by uAgentKit |
What “official sources” means We read vendor material for the claims cited below. This is a documentation review. No independent product test or professional endorsement is implied. Read our method →
- Official CrewAI enterprise build/runtime offering
CrewAI · www.crewai.com · Read · 2026-10-02
- Official CrewAI Crews and Flows framework
CrewAI · docs.crewai.com · Read · 2026-10-02
- Official Dify workflow and deployment options
Dify · dify.ai · Read · 2026-10-02
- Official Dify plan and deployment conditions
Dify · dify.ai · Read · 2026-10-02
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