Dify lets teams build production agent workflows with models, knowledge pipelines, and tools.
Dify
Dify provides a collaborative workspace for building agentic workflows and retrieval-augmented generation pipelines.
About Dify
Dify is an LLM app development platform that combines a visual workflow canvas, RAG pipeline, agent capabilities, model management and observability in a collaborative workspace. It supports hundreds of proprietary and open-source models from dozens of inference providers plus self-hosted and OpenAI API-compatible models, and its offerings expose APIs so teams can integrate the platform into their own business logic.
Deployment options include Dify Cloud, a VPC option, self-hosting, and the self-hosted Dify Community Edition started with Docker Compose. Cloud pricing and usage allowances are not stated in the source, and features such as SSO, RBAC and enterprise support are listed under Dify Enterprise.
Key features
- Visual canvas for building and testing AI workflows
- RAG pipeline covering document ingestion to retrieval, with PDF and PPT text extraction
- Agents with a sandbox that run commands, install software and handle files
- Model support across hundreds of LLMs and OpenAI-compatible endpoints
- Prompt IDE for crafting prompts and comparing model performance
- LLMOps monitoring of logs and performance, with Opik, Langfuse and Arize Phoenix
Best for: Teams building LLM applications that want visual workflows, RAG and agents in one workspace with a choice of cloud or self-hosted deployment.
Good for
- Combines workflows, RAG, agents, model management and observability in one workspace
- Can be deployed on cloud, VPC or self-hosted, including a self-hosted Community Edition
- All offerings include corresponding APIs for integration into other business logic
Watch out for
- Self-hosting requires Docker Compose v2.24.0 or later, at least 2 CPU cores and 4 GiB RAM
- Cloud pricing and usage allowances are not given in the source
- SSO, RBAC security and enterprise support are listed under Dify Enterprise
Dify at a glance
- Website
- github.com/langgenius/dify
- Category
- AI & Machine Learning › AI Agents & Automation
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Dify FAQ
What are the minimum system requirements for installing Dify?
The source lists CPU of 2 cores or more and RAM of 4 GiB or more.
How do I start the Dify server?
Install Docker and Docker Compose v2.24.0 or later, then run cd dify, cd docker, cp .env.example .env and docker compose up -d. The dashboard is then available at http://localhost/install.
What deployment options does Dify offer?
Dify Cloud, a VPC option, self-hosting (including the Dify Community Edition) and Dify Enterprise for organizations that need self-hosting, SSO and RBAC security.
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