Dify
Open-source AI platform
Best for AI developers
No-code workflow builder
Hybrid deployment options
Extensive LLM support
Build production-ready AI agents and applications with agentic workflows.
Last updated: Apr 15, 2026
OPEN_SOURCE
dify.ai
Quick Answer
Dify is an open-source, production-ready platform for building and deploying AI agents and applications, featuring agentic workflows, RAG pipelines, and integrations. It offers a visual no-code builder, supports various LLMs, and includes robust debugging and scalability features. Best for developers and teams looking to rapidly create and manage AI solutions. Free tier available; paid plans start from $59/month.
About Dify
Dify is an open-source platform for building and deploying AI applications, offering agentic workflows, RAG pipelines, and integrations. It provides a visual workflow builder and supports various LLMs, enabling developers and teams to create production-ready AI solutions. Available as a cloud service or self-hosted, with a free tier and paid plans from $59/month.
What Makes It Unique
Dify uniquely combines a visual no-code workflow builder with native Model Context Protocol (MCP) support, allowing developers to rapidly design, debug, and deploy complex AI agents and applications with built-in scalability and observability.
Use Cases & Target Users
Use Cases
Best For
Building and deploying production-ready AI agents
Developing AI applications with RAG pipelines
Creating complex LLM workflows with a no-code interface
Accelerating AI idea validation and MVP development
Distributing AI capabilities across enterprise departments
Company Size
SMALL
MEDIUM
ENTERPRISE
Fit Score
Complexity
ADVANCED
Target Team Size
SMALL_TEAM
LARGE_TEAM
Target Skill Level
INTERMEDIATE
EXPERT
Key Features
Visual Workflow Builder for AI agents
RAG (Retrieval Augmented Generation) pipelines
Native Model Context Protocol (MCP) integration
Support for global and local LLMs
Real-time debug and preview with single-step debugging
Backend as a Service with auto-scaling
Technical Specifications
API Available
SDK Available
MCP Compatible
Open Source
Team Features
SSO/Enterprise
Webhook Support
Has Demo
Deployment:
HYBRID
Compliance & Security
GDPR Compliant
Pros
- +Open-source platform with a vibrant community
- +Supports a wide range of major LLM providers and local models
- +Visual drag-and-drop workflow builder simplifies complex AI logic
- +Comprehensive debugging tools including single-step and variable inspection
- +Offers both cloud service and self-hosted deployment options
- +Includes enterprise-grade security features like SSO and access control
Limitations
- -Free tier has limited message credits and features
- -Requires technical understanding for advanced customization and self-hosting
- -No explicit mention of offline mode for cloud service
- -Future copyright date (2026) suggests potential for unreleased features or a placeholder
Powered By
Base Models
OpenAIAnthropicLlama2Azure OpenAIHugging FaceReplicate
Uses Models
GPT-4Claude 3.5 SonnetGemini 2.5 ProGrok
Decision Intelligence
Best For
Building and deploying production-ready AI agents
Developing AI applications with RAG pipelines
Creating complex LLM workflows with a no-code interface
Accelerating AI idea validation and MVP development
Distributing AI capabilities across enterprise departments
Not Ideal For
Users seeking a simple, single-purpose AI chatbot without custom development needs
Non-technical users who prefer fully managed, off-the-shelf AI solutions
Individuals or small teams with no budget for paid tiers and high usage
Organizations requiring strict adherence to specific, unlisted compliance certifications
Frequently Asked Questions
Your Actions
Dimension Scores
Ease of Use7/10
Output Quality8/10
Value for Money7/10
Customization7/10
Support8/10
Integration8/10
Task Scores
Code Completion
2
Bug Detection
2
Code Explanation
2
Refactoring
2
Test Generation
2
Multi Language Support
2
Context Understanding
2
Documentation Generation
2
Trust Score
70/100
Good
Based on 7 verified signals
Trust Signals
Verified CompanyLangGenius, Inc.
Notable CustomersVolvo Cars, Ricoh, Kakaku.com
User Base1M-10M
Funding$41.5M
Team Size51-200
GDPR CompliantYes
Data ResidencyUS, EU, AU, CA, CN, UK
Switching & Migration
Migration Difficulty
Moderate Effort
Data portable as:
API
Community Forum + Help docs
Quick Stats
CategoryAI Development
PlatformsWEB, API
Integrations15+
Views1
LaunchedMay 2023
Setup Time15 min
AddedFeb 2026