EnterprisePythonTypeScript

Dify

by Dify AIUpdated Jun 15, 2025

Open-source platform for building AI workflows visually with a drag-and-drop interface. Dify combines a visual workflow builder, RAG pipeline, model management, and observability into a single platform. It supports chatbots, agents, text generation, and complex workflow applications, with support for 100+ model providers.

Architecture Overview

Dify uses a web-based application architecture with a React frontend and Flask/Python backend. Workflows are defined as directed graphs in a visual canvas, with nodes representing LLM calls, tools, conditions, code blocks, and other operations. The execution engine processes nodes in dependency order, passing data between them. A built-in RAG engine handles document ingestion, chunking, embedding, and retrieval. The platform exposes workflows as APIs for integration.

When to Use Dify

No-code AI workflow building for business teams
RAG applications with visual pipeline configuration
Enterprise chatbots with multi-model support
Internal tools and automation without coding
Rapid AI application prototyping and iteration

Strengths & Weaknesses

Strengths

Powerful visual workflow builder accessible to non-developers
Self-hostable with Docker for full data control
Supports 100+ model providers (OpenAI, Anthropic, local models)
Built-in RAG, annotation, and dataset management
Active community with 60k+ GitHub stars

Weaknesses

Platform dependency limits flexibility for code-first developers
Complex workflows can become hard to manage in the visual UI
Self-hosting requires infrastructure knowledge and resources
Limited extensibility compared to code-first frameworks

Quick Start

python

# Dify is primarily a visual platform. Interact via API:
import requests

DIFY_API_URL = "https://api.dify.ai/v1"
API_KEY = "app-your-api-key"

# Send a chat message to a Dify chatbot application
response = requests.post(
    f"{DIFY_API_URL}/chat-messages",
    headers={
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json",
    },
    json={
        "inputs": {},
        "query": "What are the latest AI agent trends?",
        "response_mode": "blocking",
        "conversation_id": "",
        "user": "user-123",
    },
)

data = response.json()
print(data["answer"])

Features at a Glance

Developer	Dify AI
Language	Python, TypeScript
License	Apache-2.0
GitHub Stars	130k+
MCP Support	Yes
Multi-Agent	No

Notable Users

SamsungTCLBaiduTencent

Resources

Official Documentation

https://docs.dify.ai/

GitHub Repository

https://github.com/langgenius/dify

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