Dify AI

From prompt to deployed app

Dify gives product and engineering teams a visual layer for building chatbots, agents, text generators, and backend AI workflows. You can test prompts across model providers, expose an app through an API, or publish a hosted interface.

It is most useful when a prototype needs retrieval, tools, branching, and monitoring without hand-building the entire orchestration stack.

What sits inside

The workflow canvas combines model calls with code, HTTP requests, variables, conditions, and knowledge retrieval. Datasets ingest documents for RAG, while logs expose each run well enough to inspect token use and failed steps.

• Cloud: quickest setup, with plan quotas.
• Self-hosted: more control, but you operate the infrastructure.

Costs and fit

A usable cloud tier is free; paid plans raise message, storage, team, and app limits. Model charges may remain separate when you bring provider keys. Dify suits teams shipping internal assistants or customer-facing AI features, though complex canvases get awkward and production governance still needs engineering discipline.