Launched in 2023
Pricing
Free trial
Free version

Dify is an open-source LLM application development platform designed to help developers and teams create production-ready AI applications. It provides a visual workflow builder for constructing multi-step AI pipelines, a prompt IDE for iterating on prompts, and a RAG (Retrieval-Augmented Generation) engine for connecting language models to custom knowledge bases. The platform supports multiple LLM providers including OpenAI, Anthropic, and open-source models. Dify includes an agent framework for building autonomous AI agents with tool-use capabilities, as well as observability and monitoring features to track application performance. It can be used as a cloud-hosted service or self-hosted via Docker. The platform targets individual developers, startups, and enterprises looking to integrate LLM capabilities into their products without building infrastructure from scratch. It also offers an API layer so applications built on Dify can be embedded into external products.

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Target audience and deployment

  • Solo / Freelancer
  • Startup
  • SMB
  • Mid-market
  • Enterprise
  • Cloud
  • Self-hosted
  • API

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Pricing

Pricing details:
Free trial
Free version
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Key features

Visual workflow builderPrompt IDERAG pipeline engineAI agent frameworkMulti-LLM provider supportKnowledge base managementAPI publishingModel performance monitoringSelf-hosting via DockerPlugin and tool integrationsConversation logs and analyticsTeam collaboration workspace

Use cases

  • Build LLM-powered chatbots and assistants
  • Construct RAG pipelines for knowledge-base Q&A
  • Automate multi-step AI workflows
  • Deploy autonomous AI agents with tool use
  • Iterate and test prompts in a collaborative IDE
  • Monitor and observe LLM application performance

Best for

  • Developers who need to build and deploy LLM applications without managing AI infrastructure from scratch
  • AI/ML engineers who need to prototype and iterate on RAG pipelines and prompt workflows rapidly
  • Startups who need to embed AI capabilities into their products using a flexible, open-source platform
  • Enterprise teams who need to self-host an LLM application platform for data privacy and compliance
  • Product managers who need to collaborate with engineers on prompt design and AI application configuration

Integrations

Automation platforms

Zapier

Communication

Slack

Developer

GitHub

AI models included

OpenAI, Anthropic, Mistral, Llama, Google Gemini, Azure OpenAI

Databases

Notion, PostgreSQL

Other

Serper, Wikipedia