Dify vs Strands: Agent Frameworks Comparison
Compare Dify and Strands side by side. Both are tools in the Agent Frameworks category.
Updated March 10, 2026
The short answer
Choose Dify if open-source with strong community.
Choose Strands if production-proven by AWS teams (Amazon Q, AWS Glue).
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Quick Comparison
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|---|---|---|
| Category | Agent Frameworks | Agent Frameworks |
| Pricing | Open Source | — |
| Best For | Technical teams who want a visual builder for AI applications with the option to self-host | — |
| Website | dify.ai | github.com |
| Key Features |
| — |
| Use Cases |
| — |
Pros & Cons: Dify vs Strands
- +Open-source with strong community
- +Visual workflow builder accelerates development
- +Generous free tier with 200 GPT-4 calls
- +Production-ready platform
- −Pricing details not fully transparent
- −Specific tier costs require contact
- −Taxes excluded from published prices
- +Production-proven by AWS teams (Amazon Q, AWS Glue)
- +True provider-agnostic support for 8+ LLM providers
- +Comprehensive multi-agent orchestration with A2A protocol
- +Rich AWS ecosystem integration
- +Open-source with active development
- −Relatively new framework (launched 2025)
- −AWS ecosystem bias in design and tooling
- −Variable costs depending on chosen providers
Pricing: Dify vs Strands
- · 200 free GPT-4 calls
- · Core features
- · Limited resources
- · Community support
- · Independent developers
- · Production applications
- · Increased limits
- · Priority support
- · 10k message credits/month
- · 200 apps
- · 1k knowledge docs
- · 20GB storage
- · Unlimited limits
- · Dedicated support
- · SSO integration
- · Private cloud/VPC
- · Full SDK access
- · Multi-agent orchestration
- · Multi-modal support
- · Provider-agnostic
- · Pay for model usage
- · AWS infrastructure
- · Production scalability
- · Enterprise support
- · OpenAI pricing
- · Anthropic pricing
- · Gemini pricing
- · Custom model pricing
When to Choose Dify vs Strands
- Building AI chatbots without deep coding
- RAG application development
- AI workflow prototyping
How to Choose a Agent Frameworks Tool
Key criteria to evaluate when comparing Agent Frameworks solutions:
About Dify
Dify is a production-ready LLMOps platform for agentic workflow development, offering visual tools to build AI-native applications. The Sandbox tier provides 200 free GPT-4 calls, while Professional and Team plans serve independent developers and medium teams respectively. Team plan includes 10,000 message credits monthly with increased limits (200 apps, 1,000 knowledge documents, 20GB storage). Enterprise tier offers custom pricing with unlimited limits, dedicated support, SSO, and private cloud deployment. Dify is open-source and widely adopted for its easy-to-use interface enabling rapid AI application development without extensive coding.
About Strands
Strands Agents is an open-source AI agent SDK developed by AWS that takes a model-driven approach to building and running AI agents in just a few lines of code. Launched as a preview in May 2025, Strands reached version 1.0 in July 2025, bringing production-ready multi-agent orchestration capabilities. The framework uses the reasoning abilities of modern LLMs to handle planning and tool usage autonomously, eliminating the need for hardcoding complex task flows.
Strands is actively used in production by multiple AWS teams, including Kiro, Amazon Q Developer, and AWS Glue. The SDK supports multiple AI providers including Amazon Bedrock, Anthropic, Gemini, LiteLLM, Llama, Ollama, OpenAI, and Writer, making it truly provider-agnostic. Strands 1.0 introduced new primitives for multi-agent architectures, support for the Agent-to-Agent (A2A) protocol, a session manager for retrieving agent state from remote datastores, and improved async support throughout the SDK.
The framework offers comprehensive features including multi-modal support (text, speech, and image processing), rich AWS service integrations, extensibility for custom tools, and robust observability capabilities. With natural language workflow definitions through Agent SOPs and integration with Model Context Protocol (MCP), Strands provides a modern, scalable approach to building production-grade AI agents.
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 Frameworkstools →Frequently Asked Questions
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