Dify is best for technical founders, developers, AI consultants, and teams building internal or customer-facing AI applications.

Can Dify build AI agents?

Yes. Dify supports agent workflows that combine models, tools, knowledge, and multi-step logic.

Does Dify support RAG?

Yes. Dify includes knowledge-base and retrieval workflows for building applications grounded in private information.

Can Dify be self-hosted?

Yes. Dify offers self-hosted open-source options alongside managed cloud and commercial capabilities.

What should teams consider?

Review deployment, model costs, data handling, workflow complexity, evaluation requirements, and the maintenance burden of self-hosting.

Dify

Open-source platform for building AI agents, workflows, RAG apps, and chatbots.

Visit Website

What is Dify?

TL;DR

Dify is an open-source platform for building AI applications, agents, workflows, RAG pipelines, and chatbots with visual orchestration, model integrations, APIs, and flexible deployment options for teams.

Visual builder for AI apps and agent workflows
RAG pipeline and knowledge base support
Publish apps as web apps, APIs, or MCP tools

Explore with AI

About

Dify is an open-source platform for building AI applications, agents, workflows, chatbots, and RAG pipelines. It gives technical teams and founders a faster way to prototype and ship AI-powered products without building every orchestration, prompt, retrieval, and deployment layer from scratch. The platform includes a visual workflow builder, agent tools, knowledge base features, prompt orchestration, model integrations, and deployment options. Users can build AI chatbots, internal copilots, customer support assistants, research agents, content workflows, and product features that depend on large language models and retrieval-augmented generation. Dify is especially valuable for SaaS builders and founders because it sits between no-code AI chatbot builders and fully custom engineering. A team can move quickly with visual workflows while still having developer-friendly APIs, plugin support, and self-hosting options. Apps can be published as web apps, APIs, or MCP-compatible tools, which makes Dify useful for both internal operations and customer-facing AI products. For FutureStack, Dify fits well in AI Agents and Developer Tools. Its best audience is technical founders, product builders, AI automation consultants, and developers who want to turn LLM ideas into working applications with less infrastructure work. It is a strong tier-one addition because it supports real production use cases, not just demos.

Use Cases

AI App Development

Build chatbots, copilots, agents, and AI-powered applications using visual workflows and model integrations.

RAG Applications

Connect knowledge bases and retrieval workflows to LLM applications that answer questions from private information.

Agent Automation

Combine models, tools, memory, and workflow logic to automate multi-step business tasks.

Internal AI Tools

Create internal assistants and workflow apps that teams can deploy through web interfaces or APIs.

Key Features

Visual builder for AI apps and agent workflows
RAG pipeline and knowledge base support
Publish apps as web apps, APIs, or MCP tools
Cloud, enterprise, and self-hosted community options

Featured Tools

Wispr Flow

Voice-First Dictation

We may earn commissions from links to support our work. Learn more.