Dify
Dify is an open-source platform for building and operating AI applications, hosted on GitHub under the langgenius organization.
Profile
Dify provides an open-source visual platform for building, deploying, and managing AI applications using large language models.
Dify is an open-source platform for building and operating AI applications, hosted on GitHub under the langgenius organization. The project has accumulated 144,000 stars and over 22,700 forks, with more than 10,900 commits on its main branch as of June 2026. It provides a visual interface for orchestrating large language models, enabling users to create chatbots, agents, and retrieval-augmented generation workflows without extensive coding.
The platform supports integration with multiple AI model providers, including OpenAI, Anthropic, and open-source models, and includes features for prompt management, data labeling, and monitoring. Dify is maintained by a team of developers based primarily in China, though the project's governance and funding sources are not publicly detailed. The company has not disclosed revenue, headcount, or formal funding rounds; its growth is driven by community adoption and contributions.
Dify competes with other open-source AI orchestration tools like LangChain, Flowise, and private platforms such as Cohere and Anthropic's own tools. The platform is used by individual developers, startups, and enterprises for internal tooling, customer support automation, and content generation. Dify's business model centers on offering a cloud-hosted version with paid tiers for additional compute and support, alongside the free, self-hosted open-source edition. The project has seen rapid adoption in Asia and among the global open-source community, but faces challenges in monetization, enterprise sales, and differentiation as the AI tooling market matures.
Products by Dify
Who buys this
- Individual developers and hobbyists building custom AI chatbots and agents
- Startups seeking rapid prototyping and deployment of AI-powered features
- Small to medium-sized enterprises automating customer support and content generation
- Educational institutions and researchers experimenting with LLM orchestration
- Enterprise IT teams evaluating open-source AI tooling for internal applications
Strengths and what to watch
Strengths
- Strong open-source community with 144,000 GitHub stars and active contribution, indicating widespread developer interest and rapid iteration
- Visual workflow builder reduces the technical barrier for non-engineers to create AI applications, expanding the addressable market
- Multi-model support allows users to switch between providers (OpenAI, Anthropic, open-source) without rewriting code, offering flexibility and cost control
Watch for
- No disclosed revenue, funding, or formal business structure raises questions about long-term sustainability and ability to compete with well-capitalized rivals
- Heavy reliance on a small, geographically concentrated core team (China-based) creates key-person risk and potential governance challenges
- Increasing competition from both open-source alternatives (LangChain, Flowise) and proprietary platforms (Cohere, Anthropic) may erode market share and slow adoption
Key Information
- Industry
- MLOps & AI Infra
- Founded
- 1986
Frequently Asked Questions
What is Dify and what does it do?
Dify is an open-source visual platform for building, deploying, and managing AI applications using large language models. It allows users to create chatbots, agents, and retrieval-augmented generation workflows without extensive coding, supporting multiple AI providers like OpenAI and Anthropic.
How many GitHub stars does Dify have and why does that matter?
As of June 2026, Dify has 144,000 GitHub stars and over 22,700 forks, with more than 10,900 commits. This indicates strong community interest, active development, and widespread adoption among developers, which helps drive rapid iteration and feature improvements.
Can Dify work with different AI models like OpenAI and open-source ones?
Yes, Dify supports integration with multiple AI model providers, including OpenAI, Anthropic, and open-source models. This multi-model support lets users switch between providers without rewriting code, offering flexibility and cost control for different use cases.
Is Dify free to use and how does it make money?
Dify offers a free, self-hosted open-source edition. Its business model includes a cloud-hosted version with paid tiers for additional compute and support. The company has not disclosed revenue, funding, or formal business structure, relying on community adoption and contributions.
Who typically uses Dify for AI application development?
Dify is used by individual developers, startups, small to medium enterprises, educational institutions, and enterprise IT teams. Common applications include building custom chatbots, automating customer support, generating content, and prototyping AI-powered features rapidly without extensive coding.
What are the main competitors to Dify in the AI orchestration space?
Dify competes with other open-source AI orchestration tools like LangChain and Flowise, as well as proprietary platforms such as Cohere and Anthropic's own tools. The market is maturing, and Dify faces challenges in monetization, enterprise sales, and differentiation from these alternatives.
Sources
- github.com — GitHub repository data: 144k stars, 22.7k forks, 10,963 commits, active development as of June 2026
- nvidianews.nvidia.com — NVIDIA fiscal 2026 revenue of $215.9 billion, data center revenue $62.3 billion in Q4, context on AI infrastructure spending
- ir.applieddigital.com — Applied Digital Q1 FY2026 revenue $64.2 million, 84% YoY growth, $11 billion lease revenue from CoreWeave for AI data centers
- investors.kyndryl.com — Kyndryl FY2026 revenue $15.1 billion, adjusted EBITDA $2.7 billion, signings $13.5 billion with 30% new scope/logos
- dycomind.com — Dycom FY2026 revenue $5.546 billion, 17.9% growth, record free cash flow $435.3 million, acquisition of Power Solutions for data center market