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](https://www.comet.com/docs/opik/integrations/dify), [Langfuse](https://docs.langfuse.com), and [Arize Phoenix](https://docs.arize.com/phoenix)) and more, letting you quickly go from prototype to production. Here's a list of the core features:
## 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](docker/docker-compose.yaml). Before running Dify with the following commands, make sure that [Docker](https://docs.docker.com/get-docker/) and Docker Compose v2.24.0 or later are installed on your machine:
```bash
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](http://localhost/install) and start the initialization process.
#### Seeking help
Please refer to our [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) if you encounter problems setting up Dify. Reach out to [the community and us](#community--contact) 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](https://docs.dify.ai/getting-started/install-self-hosted/local-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](https://docs.dify.ai/getting-started/readme/model-providers).
**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 capabilities**:
You can define agents based on LLM Function Calling or ReAct, and add pre-built or custom tools for the agent. Dify provides 50+ built-in tools for AI agents, such as Google Search, DALL·E, Stable Diffusion and WolframAlpha.
**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 **
We host a [Dify Cloud](https://dify.ai) 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](mailto:cloud@dify.ai?subject=%5BGitHub%5DDify%20Cloud%20Support).
- **Self-hosting Dify Community Edition **
Quickly get Dify running in your environment with this [starter guide](#quick-start).
Use our [documentation](https://docs.dify.ai) for further references and more in-depth instructions.
- **Dify for enterprise / organizations **
We provide additional enterprise-centric features. [Send us an email](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) to discuss your enterprise needs.
## Staying ahead
Star Dify on GitHub and be instantly notified of new releases.
## Advanced Setup
For custom configuration, observability, and deployment options, see [Advanced Setup](docs/ADVANCED_SETUP.md).
## Contributing
Dify welcomes contributions of all kinds:
- **Code**: Read the [Contribution Guide](CONTRIBUTING.md), then browse [good first issues](https://github.com/langgenius/dify/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22).
- **Ideas and feedback**: Start or join a [GitHub Discussion](https://github.com/langgenius/dify/discussions).
- **Translations**: Follow the [internationalization guide](web/i18n-config/README.md) to add or update a locale.
- **Community**: Share the apps you build, help other users, and spread the word about Dify.
### Contributors
## Community & contact
Choose the channel that best fits your question:
- [GitHub Discussions](https://github.com/langgenius/dify/discussions): Get help, share feedback, and propose ideas.
- [GitHub Issues](https://github.com/langgenius/dify/issues): Report reproducible bugs and track engineering work. Read the [Contribution Guide](CONTRIBUTING.md) before opening one.
- [Discord](https://discord.gg/FngNHpbcY7): Chat in real time, share your apps, and connect with other Dify users.
- [X](https://x.com/dify_ai): Follow Dify for release news and project updates.
## Star History
## 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 detailed answer.
## License
This repository is licensed under the [Dify Open Source License](LICENSE), based on Apache 2.0 with additional conditions.
