Dify is an open-source platform for building LLM apps and AI agents. You can self-host the whole thing or use Dify Cloud. It bundles a visual workflow editor, a RAG pipeline, a chat-app builder, and an agent runtime into one product. Most people pick it when they want to ship a customer-facing AI feature without writing a framework from scratch.
Dify started as a developer tool and grew into a full LLM app platform. It is open source on GitHub and you can self-host the entire stack. The Dify Cloud version sits on the same code but adds a managed environment.
The four things you can build in Dify: chat apps, agent apps, workflow apps, and text-completion apps. Each one starts from a template, and you customize via the visual editor or by writing prompts and chaining tools.
For AI agents specifically, Dify supports tool calling, multi-step reasoning, and persistent memory. The Workflow feature lets you orchestrate (coordinate multiple steps) longer sequences than a simple chat-with-tools setup.
| Plan | Price | What you get |
|---|---|---|
| Self-host | Free | Full open-source feature set, run anywhere |
| Sandbox (Cloud) | $0 | 200 credits/month, 1 workspace, 5 apps, 50MB storage |
| Professional | $59/workspace/month | 5,000 credits, 50 apps, 5GB storage, 3 team members |
| Team | $159/workspace/month | 10,000 credits, 200 apps, 20GB storage, 50 team members |
| Enterprise | Custom | Contact sales |
Prices change. Verified May 2026. Check current rates at dify.ai/pricing.
| Axis | Dify | Flowise | Langflow |
|---|---|---|---|
| Open source | Yes | Yes | Yes |
| Cloud option | Yes (polished) | Yes (smaller) | Yes (via DataStax) |
| Built-in RAG | Yes | Yes | Yes |
| Agent runtime | Yes | Yes | Yes |
| Polish | Highest of the three | Developer-leaning | Developer-leaning |
| Best for | Customer-facing AI apps | LangChain users on a canvas | LangChain users on a canvas |
Pros:
Cons:
I tested Dify Cloud for an internal customer support chatbot for SellerShorts sellers. It pulls from our seller docs and answers questions about listing AI Tools, payouts, and integrations. Setup took an afternoon. The built-in RAG made it usable on day one without writing a vector store or retrieval pipeline.
Self-host for free or try the Cloud Sandbox tier. Both run the same code.
Building an AI tool for Amazon sellers? Check the Amazon AI hub for sector-specific picks.
Dify is open source and you can self-host it for free. Dify Cloud has a free Sandbox tier with 200 message credits per month. Paid tiers start at $59 per workspace per month.
All three are visual open-source LLM app builders. Dify focuses on the end-to-end product (RAG, chat apps, agents, workflows) with a polished cloud option. Flowise and Langflow are more developer-leaning and tend to be self-hosted. Pick Dify when you want the smoothest cloud option and you do not mind paying for it.
Yes. Dify supports agent applications with tool calling, multi-step reasoning, and memory. The Workflow feature lets you orchestrate longer sequences of LLM calls and tools, which is the agent pattern.
For internal apps like customer support chatbots trained on your product catalog, yes. For workflows that take actions on Amazon Seller Central, n8n or Make are usually a better fit because they have native Amazon connectors.