dify
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
Install / Use
claude mcp add langgenius -- npx -y github:langgenius/difyIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
Our assessment of dify
dify scores 97/100 on our quality scale, 132nd of 2,863 Automation skills we index (top 5%).
Its MCP Server is 12 KB long, well organised into 12 sections with 1 code example: a thorough specification that gives an agent plenty to work with.
With 160,483 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated today, so dify is actively maintained.
- Our last check on 2026-09-27 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
dify compared with similar skills
All 4 of these similar skills score higher than dify; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| dify (this skill)by langgenius | 97 | 160.5k | today | MCP Server |
| Agent-Reachby Panniantong | 100 | 109.2k | today | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 78.9k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.8k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 97.9k | today | MCP Server |
Frequently asked questions
- How do I install dify?
- Run
claude mcp add langgenius -- npx -y github:langgenius/dify. The install tabs above show the steps for each supported agent. - Which AI agents does dify work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is dify safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is dify still maintained?
- The repository was last updated today, so dify is actively maintained.
Skill content
View source on GitHub
Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features (including Opik, Langfuse, and Arize Phoenix) and more, letting you quickly go from prototype to production. Here's a list of the core features:
Quick start
<br/>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
Key features
1. Workflow: Build and test powerful AI workflows on a visual canvas, leveraging all the following features and beyond.
2. Comprehensive model support: Seamless integration with hundreds of proprietary / open-source LLMs from dozens of inference providers and self-hosted solutions, covering GPT, Mistral, Llama3, and any OpenAI API-compatible models. A full list of supported model providers can be found here.
3. Prompt IDE: Intuitive interface for crafting prompts, comparing model performance, and adding additional features such as text-to-speech to a chat-based app.
4. RAG Pipeline: Extensive RAG capabilities that cover everything from document ingestion to retrieval, with out-of-box support for text extraction from PDFs, PPTs, and other common document formats.
5. Agent: Autonomous agents with a sandbox of their own: they run commands, install software, and handle files to get open-ended tasks done. Describe the agent you want and it builds itself. Give it skills, connect tools from Dify Marketplace, MCP servers, or your own APIs, and put it to work as a chat app or as a step in any workflow.
6. LLMOps: Monitor and analyze application logs and performance over time. You could continuously improve prompts, datasets, and models based on production data and annotations.
7. Backend-as-a-Service: All of Dify's offerings come with corresponding APIs, so you could effortlessly integrate Dify into your own business logic.
Using Dify
-
Cloud <br/> We host a Dify Cloud service for anyone to try with zero setup. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls in the sandbox plan. If you run into issues with Dify Cloud, contact our Cloud support team.
-
Self-hosting Dify Community Edition<br/> Quickly get Dify running in your environment with this starter guide. Use our documentation for further references and more in-depth instructions.
-
Dify Enterprise<br/> For organizations requiring self-hosting, SSO, RBAC Security and Enterprise Support SLAs, please fill out this form to speak to a solution representative. <br/>
Staying ahead
Star Dify on GitHub and be instantly notified of new releases.
<img width="1344" height="720" alt="star" src="https://github.com/user-attachments/assets/dcd086d1-af0f-471b-ae52-1ad2fa040595" />Advanced Setup
For custom configuration, observability, and deployment options, see Advanced Setup.
Contributing
Dify welcomes contributions of all kinds:
- Code: Read the Contribution Guide, then browse good first issues.
- Ideas and feedback: Start or join a GitHub Discussion.
- Translations: Follow the internationalization guide to add or update a locale.
- Community: Share the apps you build, help other users, and spread the word about Dify.
Contributors
<a href="https://github.com/langgenius/dify/graphs/contributors"> <img alt="Dify contributors" src="https://contrib.rocks/image?repo=langgenius/dify" /> </a>Community & contact
Choose the channel that best fits your question:
- GitHub Discussions: Get help, share feedback, and propose ideas.
- GitHub Issues: Report reproducible bugs and track engineering work. Read the Contribution Guide before opening one.
- Discord: Chat in real time, share your apps, and connect with other Dify users.
- X: Follow Dify for release news and project updates.
Star History
<a href="https://star-history.dera.page/#langgenius/dify&type=date&legend=top-left"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://star-history.dera.page/svg?repos=langgenius/dify&type=date&theme=dark&legend=top-left" /> <source media="(prefers-color-scheme: light)" srcset="https://star-history.dera.page/svg?repos=langgenius/dify&type=date&legend=top-left" /> <img alt="Star History Chart" src="https://star-history.dera.page/svg?repos=langgenius/dify&type=date&legend=top-left" /> </picture> </a>Security disclosure
To protect your privacy, please avoid posting security issues on GitHub. Instead, report issues to security@dify.ai, and our team will respond with det
Truncated for display — read the full file on GitHub.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.