The outcome

Get into the official Dify experience with the right account and a setup you understand.

Dify is a open-source low-code platform for AI applications, workflows, agents, knowledge, and LLM operations. Building low-code AI workflows, chatflows, agents, RAG applications, model integrations, plugins, and deployable APIs with operational visibility. This guide narrows that broad capability into one repeatable outcome, with checkpoints that keep the source material and your judgment in the loop.

Before you begin

Set the boundary before the tool starts.

Choose one real task, identify who will use the result, and decide what evidence or test will make the result acceptable. Gather only the source material needed for that task. If the work contains confidential, personal, regulated, or client-owned information, confirm that the platform and account are approved before sharing it.

Troiana principle

AI should make the work easier to inspect. If the workflow removes the source, the owner, or the review step, redesign the workflow.

Step by step

A workflow you can repeat.

  1. 01

    Start at https://dify.ai/ and confirm the domain before entering account or payment information.

  2. 02

    For desktop use, follow the official download link. Current availability: Dify is available as a hosted cloud service and as an open-source self-hosted web platform, with application APIs, plugins, and development tooling..

  3. 03

    A Dify workspace or maintained self-hosted deployment, configured model provider, protected credentials, and approved data and tool integrations.

  4. 04

    Sign in with the account you intend to keep using, then review plan, data, notification, and permission settings.

  5. 05

    Run one low-risk test task before connecting sensitive files, repositories, or workspace data.

Working standard

What good use looks like.

  • Use official download pages.
  • Review permissions during setup.
  • Keep installers and applications updated.

Dify workflows can connect models, knowledge, code, plugins, webhooks, and external tools that carry different data and execution risks. Isolate workspaces, protect provider and app keys, prefer deterministic nodes for fixed rules, validate every input and output, treat plugins as code, restrict tools and knowledge access, inspect logs and retention, test failure and pause paths, pin self-hosted versions, and keep exports and rollback procedures.

Official references

Check the current product documentation.

Features, plan limits, availability, and data controls change. These official pages are the starting points used for this collection.