Overview
Dify is an open-source platform for building, testing, and operating LLM-powered applications - chatbots, text generators, retrieval-augmented assistants, autonomous agents, and multi-step workflows - without writing an orchestration layer from scratch. Built by LangGenius, it bundles what would otherwise be several tools: a drag-and-drop workflow canvas, a prompt IDE, a knowledge-base pipeline for RAG, an agent framework with tool use, model management across hundreds of LLMs, and observability for logs, cost, and quality. Every app is exposed via API, so Dify can act as a backend-as-a-service for your own products. The same core runs as a free self-hosted Community Edition or as a managed cloud service, which is often the deciding factor for teams that need data to stay inside their own perimeter.
Key Features
- Visual Workflow Studio: turn prompt logic into a visible, debuggable execution path
- Agents with tools, memory, and boundaries, usable standalone or as workflow nodes
- Knowledge pipelines that extract, chunk, index, and test retrieval before going live
- Plugin Marketplace for model providers, tools, data sources, and MCP integrations
- Publish as web app, API, embed, or MCP-compatible tool with logs and feedback
- Self-host with one Docker command or run managed Dify Cloud with SSO and RBAC
Pricing
| Plan | Price | For |
|---|---|---|
| Community (Self-hosted) | $0 | Docker deploy, full features, unlimited apps |
| Sandbox | $0 | Try core features, 200 message credits |
| Professional | $59/mo | Indie devs and small teams in production |
| Team | $159/mo | Mid-size teams, unlimited apps and members |
| Enterprise | Custom | SSO, compliance, SLA, dedicated support |
Comparison
Compared to Coze, Dify targets builders who need to self-host and own their stack, while Coze leans toward quick consumer bots. Against CrewAI, Dify gives a visual canvas instead of writing multi-agent orchestration in Python. Versus Manus, Dify is a platform you deploy and operate yourself rather than a hosted agent you simply prompt.
Hands-on Verdict
Dify is the LLM-app platform I use to build agents and RAG pipelines with a visual backend — datasets, prompts, and tools wired together, then shipped as an API. It’s more backend-complete than Flowise on ops and more flexible than Chatbase. For no-code browser agents I use Agent.ai.
Who it’s for: developers, product teams. Tip: load and chunk your knowledge base carefully before prompting — Dify’s RAG quality lives or dies on the dataset, so clean sources first.