Keywords AI

CrewAI vs Dify

Compare CrewAI and Dify side by side. Both are tools in the Agent Frameworks category.

Quick Comparison

	CrewAI	Dify
Category	Agent Frameworks	Agent Frameworks
Pricing	Open Source	Open Source
Best For	Developers who want to build multi-agent systems where specialized agents collaborate	Technical teams who want a visual builder for AI applications with the option to self-host
Website	crewai.com	dify.ai
Key Features	Multi-agent role-based collaboration Simple YAML or Python configuration Built-in task delegation Memory and tool integration Process types: sequential, hierarchical, parallel	Visual workflow builder for AI apps Multi-model support RAG pipeline builder Plugin ecosystem Self-hosted and cloud options
Use Cases	Multi-agent team workflows Automated research and content pipelines Business process automation with AI teams Customer service agent hierarchies Collaborative problem-solving	Building AI chatbots without deep coding RAG application development AI workflow prototyping Multi-model application design Enterprise AI tool deployment

When to Choose CrewAI vs Dify

Choose CrewAI if you need

Multi-agent team workflows
Automated research and content pipelines
Business process automation with AI teams

Pricing: Open Source

Choose Dify if you need

Building AI chatbots without deep coding
RAG application development
AI workflow prototyping

Pricing: Open Source

How to Choose a Agent Frameworks Tool

Key criteria to evaluate when comparing Agent Frameworks solutions:

Programming languagePython, TypeScript, or both — must match your team skills and existing codebase.

Architecture patternSingle-agent, multi-agent, or graph-based orchestration depending on task complexity.

Tool ecosystemBuilt-in tools and ease of creating custom tools for your specific needs.

ObservabilityBuilt-in tracing, debugging, and monitoring for understanding agent behavior.

Production readinessError handling, retries, streaming, and deployment options for production use.

About CrewAI

CrewAI is a framework for orchestrating multi-agent AI systems where specialized agents collaborate to complete complex tasks. It provides abstractions for defining agent roles, goals, tools, and workflows, enabling teams of AI agents to work together like a human crew. CrewAI supports sequential, parallel, and hierarchical task execution patterns and integrates with all major LLM providers.

View CrewAI profile →Visit website

About Dify

Dify is an open-source platform for building LLM applications with both visual and code-based interfaces. It provides a workflow orchestration engine, RAG pipeline builder, agent framework, and model management—all accessible through a web UI. Dify supports 50+ LLM providers, offers enterprise features like SSO and access control, and can be self-hosted or used as a cloud service.

View Dify profile →Visit website

What is Agent Frameworks?

Developer frameworks and SDKs for building autonomous AI agents with tool use, planning, multi-step reasoning, and orchestration capabilities.

Browse all Agent Frameworks tools →

Frequently Asked Questions

What is an AI agent framework?▾

An agent framework provides the building blocks for creating AI agents that can autonomously plan, use tools, and complete multi-step tasks. Instead of building tool use, memory, and orchestration from scratch, you get pre-built components that handle the common patterns.

Do I need a framework or can I build agents with raw API calls?▾

For simple single-tool agents, raw API calls work fine. Frameworks become valuable when you need multi-step planning, tool orchestration, error recovery, memory, or multi-agent coordination. They save significant development time for complex agent architectures.

Which agent framework should I choose?▾

LangChain and LlamaIndex are the most mature with the largest ecosystems. CrewAI is best for multi-agent workflows. Vercel AI SDK is ideal for TypeScript/Next.js applications. Evaluate based on your language preference, use case complexity, and integration needs.