agent ·
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 reb
Dify Cloud · Self-hosting · Documentation · Dify edition overview
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**: 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](https://marketplace.dify.ai/?category=tool), 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
** We host [Dify Cloud](https://cloud.dify.ai) so you can try Dify without managing a server. See the [pricing page](https://dify.ai/pricing) for current plans and usage allowances. If you run into issues, [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 Enterprise](https://dify.ai/dify-enterprise)
** For organizations requiring self-hosting, SSO, RBAC Security and Enterprise Support SLAs, please fill out [this form](https://share-na2.hsforms.com/14-09ff5HS92Sh4m3f4yrcw40s9fk) to speak to a solution representative.
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