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dify

langgenius/dify

Production-ready platform for agentic workflow development

GitHub Website

GraphCanon updated 1w · GitHub synced 1w · 33 views this month

152k stars24k forksLast push 1w TypeScript Other

Decision brief

Dify is a comprehensive low-code/no-code AI agentic framework designed for workflow and process automation, offering deployment via Docker Compose and multiple cloud platforms.

Good fit when

When you need a production-grade platform with support for various deployment methods such as Docker Compose, Kubernetes Helm Charts, Terraform, AWS CDK, and Alibaba Cloud services.
If your organization primarily works in TypeScript and prefers using Next.js and Python alongside AI frameworks like Gemini, GPT-4, or other large language models (LLMs).

Avoid when

If your project strictly requires a specific proprietary licensing scheme not aligned with Dify’s customized open-source license that is based on Apache 2.0.
In cases where the desired workflow development tool should be written in a language other than TypeScript or Python, as Dify centers primarily around these languages.

Requirements:: Min 4 GB RAM; Requires Docker

Observed Jul 11, 2026 · Source: enrich:decision_facts

dify alternatives Trust report

dify vs Flowise dify vs langchain dify vs OpenHands

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (151,725) are secondary evidence.

npm downloads (30d): 42·npm downloads API·1w

Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of 1w
Provenance: Not a fork · Organization account; As of 1w
Security (OSV): No MCP manifest; As of 1mo

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install dify

npm

How it fits your stack(64)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

hermes-agent

Dify is a platform for developing agentic workflow, which can be compared to the capabilities of Hermes-Agent in creating and deploying AI-powered agents.

alternative

AutoGPT

Both AutoGPT and Dify are platforms designed for agentic workflow development, offering tools to build and deploy AI-powered agents.

alternative

langflow

Both Dify and langflow are platforms for building and deploying AI-powered agents and workflows, catering to production-ready solutions with a focus on ease of use and scalability.

alternative

Integrates

ECC

ECC enhances development tools for AI agents which can integrate with Dify's production-ready platform for agent-oriented workflows to optimize research and deployment processes.

integrates

browser-use

Dify, a platform for developing AI-driven automated workflows, has an 'integrates with' relationship to browser-use because browser-use offers tools like Playwright which enable automating web tasks; this integration allows Dify's workflows to interact effectively with web browsers and execute tasks on websites programmatically.

integrates

TradingAgents

TradingAgents can integrate with Dify because both focus on creating AI-driven workflows, which could be enhanced by the production-ready platform provided by Dify.

integrates

JavaGuide

JavaGuide covers the preparation for backend engineering interviews, which includes AI application development and system design. Similarly, dify is a platform for agentic workflow development, making it adjacent to JavaGuide in terms of content focus.

graphify

Dify's focus on building agentic workflows can benefit from the insights generated by Graphify, which transforms code and documentation into queryable knowledge graphs that might serve as decision-making aids for AI agents.

learn-claude-code

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Alternative

Alternative

Similar tools

Same-category neighbours not already linked as typed edges.

firecrawl

The API to search, scrape, and interact with the web at scale. 🔥

168k★

awesome-llm-apps

Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.

131k★

cc-switch

A cross-platform desktop All-in-One assistant for multiple AI agents

121k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Dify is a production-grade, low-code/no-code AI agentic framework used to develop agentic workflows and automated processes. It supports deployment via Docker Compose, Kubernetes Helm Charts, Terraform, and AWS CDK.

Capability facts

MCP server: No MCP server detected
Source: repo_scan · Aug 8, 2026
Languages: typescript, javascript
Source: github.language+package.json · Aug 8, 2026

README

Quick start

Before installing Dify, make sure your machine meets the following minimum system requirements:

CPU >= 2 Core

RAM >= 4 GiB

The easiest way to start the Dify server is through Docker Compose. Before running Dify with the following commands, make sure that Docker and Docker Compose v2.24.0 or later are installed on your machine:

cd dify
cd docker
cp .env.example .env
docker compose up -d

After running, you can access the Dify dashboard in your browser at http://localhost/install and start the initialization process.

Seeking help

Please refer to our FAQ if you encounter problems setting up Dify. Reach out to the community and us if you are still having issues.

If you'd like to contribute to Dify or do additional development, refer to our guide to deploying from source code

Deployment with Kubernetes

If you'd like to configure a highly available setup, there are community-contributed Helm Charts and YAML files which allow Dify to be deployed on Kubernetes.

Using Terraform for Deployment

Deploy Dify to Cloud Platform with a single click using terraform

Azure Global

Azure Terraform by @nikawang

Google Cloud

Google Cloud Terraform by @sotazum

Using AWS CDK for Deployment

Deploy Dify to AWS with CDK

AWS

Using Alibaba Cloud Computing Nest

Quickly deploy Dify to Alibaba cloud with Alibaba Cloud Computing Nest

Using Alibaba Cloud Data Management

One-Click deploy Dify to Alibaba Cloud with Alibaba Cloud Data Management

Deploy to AKS with Azure Devops Pipeline

One-Click deploy Dify to AKS with Azure Devops Pipeline Helm Chart by @LeoZhang

License

This repository is licensed under the Dify Open Source License, based on Apache 2.0 with additional conditions.

For agents

This page has a .md twin and JSON over the API.

/tools/langgenius-dify.md GET /api/graphcanon/tools/langgenius-dify GET /api/graphcanon/graph?tool=langgenius-dify

dify

Decision brief

Good fit when

Avoid when

Verify the decision

Adoption

Maintenance and security

Install

How it fits your stack(64)

Alternative

Integrates

Related

Relationship graph

Similar tools

Evidence and technical details

Overview

Capability facts

Categories

Tags

README

Quick start

Seeking help

Deployment with Kubernetes

Using Terraform for Deployment

Azure Global

Google Cloud

Using AWS CDK for Deployment

AWS

Using Alibaba Cloud Computing Nest

Using Alibaba Cloud Data Management

Deploy to AKS with Azure Devops Pipeline

License

For agents