All Apps/AI Agents/Dify

Dify

Name: Dify
Rating: 4.5 (1876 reviews)

Open-source platform for building and running production AI agents and LLM workflows

4.5(1,876 reviews)

AI Agents

Quick buyer guide

Is Dify right for you?

Use this section to decide whether Dify belongs on your shortlist before you visit the vendor, request a demo, or start implementation planning.

Best for

Teams evaluating ai agents tools for a real business workflow.
Users who need open-source platform for building and running production ai agents and llm workflows.
Businesses that already use or can connect OpenAI, Claude, Gemini.

Not ideal if

Organisations that need enterprise procurement, compliance, and dedicated support from day one.
Teams without a clear use case, owner, or success metric for the tool.
Businesses that cannot yet review data, privacy, permissions, and approval requirements.

Common use cases

Automate multi-step workflows that cross tools, teams, or data sources.

Research, summarise, draft, and execute recurring operational tasks.

Coordinate work across CRMs, helpdesks, documents, inboxes, and internal systems.

Give staff an AI assistant for repeatable knowledge work and process follow-up.

Implementation effort

Medium

Dify should be tested on one focused workflow first, especially if it connects to existing business systems or customer data.

Pricing clarity

A free tier may be available, but useful business features often sit behind paid plans. Check limits, exports, integrations, and team controls.

Digital by Default verdict

Dify is worth considering if you need ai agents capability and the core features match a real workflow. Treat it as a medium-effort adoption: shortlist it, compare alternatives, and test it on a small but realistic process before wider rollout.

Questions to ask before buying

1Which actions can the agent take, and which actions require human approval?
2Which tools, documents, CRMs, inboxes, or databases can it safely access?
3How are permissions, audit logs, data retention, and error handling managed?
4Can you start with one narrow workflow before expanding to wider automation?
5What happens when the agent is uncertain or a task fails?

Need an implementation view?

Get help choosing or implementing Dify

Digital by Default can help compare alternatives, map the workflow, check data/privacy considerations, and plan a safe rollout.

Book a discovery call

About

Dify is an open-source LLM application development platform that brings together visual workflow orchestration, retrieval-augmented generation pipelines, and a complete agent framework in a single self-hostable product. Teams design multi-step AI workflows on a drag-and-drop canvas, ingest documents into a built-in vector store for RAG, and deploy agent-powered chatbots or automation flows without writing infrastructure code. Support for over 100 model providers lets teams swap between OpenAI, Anthropic, Gemini, and local models as cost and capability tradeoffs shift. With more than 60,000 GitHub stars and over one million applications deployed on the platform, Dify has established itself as a foundational layer for companies that want to ship production-grade AI products rapidly without building the plumbing from scratch.