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📌 Check out Dify Premium on AWS and deploy it to your own AWS VPC with one-click.
Dify is an open-source LLM app development platform. Dify's intuitive interface combines a RAG pipeline, AI workflow orchestration, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
https://github.com/langgenius/dify/assets/13230914/979e7a68-f067-4bbc-b38e-2deb2cc2bbb5
Using Dify Cloud
You can try out Dify Cloud now. It provides all the capabilities of the self-deployed version, and includes 200 free GPT-4 calls.
Dify for Enterprise / Organizations
Schedule a meeting with us or send us an email to discuss enterprise needs.
For startups and small businesses using AWS, check out Dify Premium on AWS Marketplace and deploy it to your own AWS VPC with one-click. It's an affordable AMI offering with the option to create apps with custom logo and branding.
Features
1. Workflow: Create and test complex AI workflows on a visual canvas, with pre-built nodes taking advantage of the power of all the following features and beyond.
2. Extensive LLM support: Seamless integration with hundreds of proprietary / open-source LLMs and dozens of inference providers, including GPT, Mistral, Llama2, and OpenAI API-compatible models. A full list of supported model providers is kept here.
3. Prompt IDE: Visual orchestration of applications and services based on any LLMs. Easily share with your team.
4. RAG Engine: Includes various RAG capabilities based on full-text indexing or vector database embeddings, allowing direct upload of PDFs, TXTs, and other text formats.
5. AI Agent: Based on Function Calling and ReAct, the Agent inference framework allows users to customize tools, what you see is what you get. Dify provides more than a dozen built-in tools for AI agents, such as Google Search, DELL·E, Stable Diffusion, WolframAlpha, etc.
6. LLMOps: Monitor and analyze application logs and performance, continuously improving Prompts, datasets, or models based on production data.
Dify vs. LangChain vs. Assistants API
| Feature | Dify.AI | Assistants API | LangChain |
|---|---|---|---|
| Programming Approach | API-oriented | API-oriented | Python Code-oriented |
| Ecosystem Strategy | Open Source | Close Source | Open Source |
| RAG Engine | Supported | Supported | Not Supported |
| Prompt IDE | Included | Included | None |
| Supported LLMs | Rich Variety | OpenAI-only | Rich Variety |
| Local Deployment | Supported | Not Supported | Not Applicable |
Before You Start
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Install the Community Edition
System Requirements
Before installing Dify, make sure your machine meets the following minimum system requirements:
- CPU >= 2 Core
- RAM >= 4GB
Quick Start
The easiest way to start the Dify server is to run our docker-compose.yml file. Before running the installation command, make sure that Docker and Docker Compose are installed on your machine:
cd docker
docker compose up -d
After running, you can access the Dify dashboard in your browser at http://localhost/install and start the initialization installation process.
Deploy with Helm Chart
Helm Chart version, which allows Dify to be deployed on Kubernetes.
Configuration
If you need to customize the configuration, please refer to the comments in our docker-compose.yml file and manually set the environment configuration. After making the changes, please run docker-compose up -d again. You can see the full list of environment variables in our docs.
Star History
Contributing
For those who'd like to contribute code, see our Contribution Guide.
At the same time, please consider supporting Dify by sharing it on social media and at events and conferences.
Projects made by community
Contributors
Translations
We are looking for contributors to help with translating Dify to languages other than Mandarin or English. If you are interested in helping, please see the i18n README for more information, and leave us a comment in the global-users channel of our Discord Community Server.
Community & Support
- Github Discussion. Best for: sharing feedback and asking questions.
- GitHub Issues. Best for: bugs you encounter using Dify.AI, and feature proposals. See our Contribution Guide.
- Email Support. Best for: questions you have about using Dify.AI.
- Discord. Best for: sharing your applications and hanging out with the community.
- Twitter. Best for: sharing your applications and hanging out with the community.
Direct Meetings
| Point of Contact | Purpose |
|---|---|
 |
Business enquiries & product feedback. |
 |
Contributions, issues & feature requests |
Security Disclosure
To protect your privacy, please avoid posting security issues on GitHub. Instead, send your questions to security@dify.ai and we will provide you with a more detailed answer.
License
This repository is available under the Dify Open Source License, which is essentially Apache 2.0 with a few additional restrictions.