← All Tools
Home › AI Agent › Dify
🚀 AI Agent ★ 55k+ GitHub Stars agent platform workflow

Dify – Dify LLM 应用平台

Open-source LLM app development and orchestration platform

View on GitHub ↗
Category
AI Agent
agent
GitHub Stars
55k+
Community adoption
License
Open Source
Free to use
Tags
agent, platform, workflow
4 tags total

What Is Dify?

Dify is an open-source autonomous AI agent system with 55k+ GitHub stars. Open-source LLM app development and orchestration platform

As a autonomous AI agent system, Dify is designed to help developers and teams automate complex tasks by combining planning, tool use, and iterative execution. Instead of following a fixed script, it dynamically adapts its approach based on intermediate results and feedback.

The project is maintained on GitHub at github.com/langgenius/dify and is actively developed with a strong open-source community. With 55k+ stars, it is one of the most widely adopted tools in its category.

Key Features

  • 🤖
    Agent Capabilities — Autonomous task execution with planning, tool use, self-correction, and iterative goal pursuit.
  • 🏗️
    Platform — Comprehensive infrastructure for building, testing, and deploying AI applications at scale.
  • 🔄
    Workflow Orchestration — Visual or programmatic pipeline composition for complex multi-step AI workflows with branching logic.
  • 🔓
    Open Source — MIT/Apache licensed—inspect, fork, modify, and self-host with no vendor lock-in.

Use Cases

Dify is used across a wide range of applications in the AI development ecosystem. Here are the most common scenarios where teams choose Dify:

🔍 Research Automation

Gather, analyze, and synthesize information from the web, databases, and documents autonomously.

💻 Code Generation & Debugging

Implement features, fix bugs, write tests, and refactor codebases with minimal human intervention.

📊 Data Processing Pipelines

Build automated workflows that ingest, transform, validate, and analyze data at scale.

🌐 Multi-Step Task Execution

Complete complex goals requiring planning across many tools, APIs, and decision branches.

Getting Started with Dify

To get started with Dify, visit the GitHub repository and follow the installation instructions in the README. Agent frameworks typically require an API key for the LLM backend (OpenAI, Anthropic, or a local model via Ollama).

💡 Tip: Check the GitHub repository's Issues and Discussions pages for community support, and the Releases page for the latest stable version.

Similar AI Agents

If Dify doesn't fit your needs, here are other popular AI Agents you might consider:

Langflow
Visual framework for building AI agents and RAG apps
Flowise
Drag-and-drop UI to build LLM workflows
Botpress
Developer-first platform for building conversational AI
SuperAGI
Open-source autonomous AI agent infrastructure

Frequently Asked Questions

What can Dify do autonomously? ▼
Dify can browse the web, read and write files, execute code in a sandbox, call external APIs, and chain these actions to complete complex multi-step goals—all without human confirmation at each step.
How much does running Dify cost? ▼
The software itself is MIT-licensed and free. It requires an LLM API (OpenAI, Anthropic, or local Ollama). A typical task costs $0.50–$5 in API usage with GPT-4o. Always set a token budget limit to prevent runaway costs on long tasks.
Is it safe to run Dify without supervision? ▼
For production-critical systems, always run with human-in-the-loop confirmation enabled. Dify includes confirmation prompts for destructive actions by default. Never grant access to credentials or production infrastructure without explicit scope limits.
How does Dify compare to prompt chaining? ▼
Dify goes beyond prompt chaining by adding dynamic planning, real tool execution, and self-correction loops. Unlike a fixed chain of prompts, it adapts its approach based on intermediate results—making it suitable for open-ended tasks where the exact steps aren't known in advance.