Dify vs LangChain: Agent Frameworks Comparison
Compare Dify and LangChain 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 LangChain if largest ecosystem and community in AI application development.
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Quick Comparison
| Category | Agent Frameworks | Agent Frameworks |
| Pricing | Open Source | Open Source |
| Best For | Technical teams who want a visual builder for AI applications with the option to self-host | Developers building complex LLM applications who need a comprehensive orchestration framework |
| Website | dify.ai | langchain.com |
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Pros & Cons: Dify vs LangChain
- +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
- +Largest ecosystem and community in AI application development
- +Comprehensive abstractions for chains, agents, tools, and memory
- +LangSmith provides production-grade tracing and evaluation
- +LangGraph enables complex stateful multi-actor agent workflows
- +Extensive integrations with LLM providers, vector stores, and tools
- −Steep learning curve for advanced configurations and LangGraph
- −High total cost of ownership for complex deployments
- −Rapid API changes can break existing implementations
- −Trace pricing can escalate quickly at scale ($2.50-$5.00 per 1K traces)
Pricing: Dify vs LangChain
- · 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
- · 5K traces/month
- · 14-day retention
- · 1 seat
- · 1 workspace
- · 10K base traces/month
- · Up to 10 seats
- · 3 workspaces
- · 1 free dev-sized deployment
- · HIPAA BAA
- · SOC 2 Type II
- · Self-hosting options
- · Custom trace limits
When to Choose Dify vs LangChain
- Building AI chatbots without deep coding
- RAG application development
- AI workflow prototyping
- Building RAG applications
- Multi-agent orchestration with LangGraph
- Tool-using conversational agents
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 LangChain
LangChain is the most widely adopted framework for building LLM-powered applications and AI agents, founded in 2022 by Harrison Chase. The company provides an open-source Python and TypeScript framework with abstractions for chains, agents, tools, memory, and retrieval that make it easy to compose complex AI systems.
LangGraph, its agent orchestration layer, enables building stateful, multi-actor workflows with human-in-the-loop capabilities. LangSmith provides tracing, evaluation, and monitoring for LLM applications in production. The LangChain ecosystem is the largest in the AI application development space, with the company reaching $16M in revenue and 1,000 customers by 2025.
Backed by $260M in total funding at a $1.25B valuation, LangChain has grown to 199 employees and is headquartered in San Francisco. The company serves as the de facto orchestration layer for teams building production AI applications.
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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