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Dify

Open-source and Cloud platform for building agentic workflows, RAG pipelines, and multi-step AI apps with a visual editor and publish-to-API path.

7.5/10
Overall Score
Recommend

Dify is a strong builder for teams that want visible agent and workflow logic without rewriting the stack for every prototype. Public Cloud plans plus a serious self-host path support Recommend.

Best for

Product and platform teams that need to design, test, and publish agentic workflows and RAG apps with a visual canvas and optional self-hosting.

Not ideal for

Teams that only want a pure Python agent framework with no UI, or enterprises that refuse any workflow builder abstraction.

Verdict

Dify is a good fit when your team wants to turn prompts, tools, and knowledge bases into inspectable agentic workflows. Cloud plans publish workspace pricing so small teams can start without a sales call; Enterprise and VPC paths remain quote-led. Practitioners like the visual builder and self-host option; complex multi-repo agent frameworks may still prefer LlamaIndex or CrewAI-style code-first stacks.

Score Breakdown

How Dify scores in the categories that matter to its buyers.

Buyer outcomes

Visual agent / workflow builder
7.8
RAG & knowledge pipelines
7.7
Self-host + Cloud path
7.7
Production ops & publishing
7.4

Company & commercial

Innovation & product leadership
7.6
Project management & communication
7.3
Pricing
7.3
Contract fairness
7.3

Pricing

Dify publishes Cloud workspace plans on dify.ai/pricing. Community Edition remains free to self-host. Figures below are USD list signals as of September 2026; Enterprise is sales-quoted.

Plan / SKUMeterPrice (USD)What stands out
SandboxworkspaceFreeLimited credits and apps for trials
Professionalper workspace / year$590Small-team Cloud production path
Teamper workspace / year$1,590Higher seats, apps, and knowledge quotas
Enterprise / self-host commercialannualCustom quoteSSO, VPC, SLAs, commercial license

The Field at a Glance

How Dify compares with other Multi-agent & swarm tooling vendors we reviewed, by Overall Score and relative typical engagement cost.

6 7 8 9 Overall Score $ $$ $$$ $$$$ Relative typical engagement cost CrewAI deepset LlamaIndex Dify 7.5
Dify CrewAI deepset LlamaIndex

Dify scores 7.5 in multi-agent tooling, even with deepset (7.1), behind LlamaIndex (8.1) and ahead of CrewAI (6.9). Relative cost lands lower when you start on published Cloud plans or Community Edition.

Use-case matrix

Use caseFitNotes
Visual agentic workflow builderStrongCore Dify product.
RAG / knowledge pipelinesStrongFirst-class knowledge tooling.
Self-host + Cloud optionsStrongCommunity + Cloud + Enterprise.
Pure code-first Python agents onlyMixedCrewAI/LlamaIndex often preferred.
Haystack-style NLP framework depthMixeddeepset stronger for some NLP stacks.
Desktop RPA botsPoorWrong subcategory.

Who it’s for

Good fit

  • Teams prototyping agents with a visible canvas
  • Buyers who want OSS self-host with a Cloud upgrade
  • Product orgs publishing apps and APIs from one workspace

Poor fit

  • Engineers who only want a Python library
  • Buyers seeking classic desktop RPA
  • Orgs that ban any workflow abstraction

Review Excerpts

Below are excerpts from public reviews. Paid reviews and pay-for-play sites such as Clutch were excluded.

What people like

“We could show a business stakeholder the agent path on a canvas instead of walking them through three notebooks.”

Agent engineer · r/LangChain
What people like

“Dify listed Professional at $590 and Team at $1,590, so we could pick a workspace size before legal opened an Enterprise MSA.”

Agent engineer · r/LangChain
What people don't like

“Very large multi-service agent estates can outgrow the canvas; some teams still graduate hot paths into code frameworks.”

LLM engineer · r/LangChain
How it's used

“We build RAG support agents in Dify, publish an API, and keep evaluation harnesses in a separate repo.”

Staff engineer · r/LangChain

Methodology

This page is an independent evaluation of Dify for buyers comparing options in multi-agent & swarm tooling. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Dify did not pay for this review.

What we scored

The headline number is an Overall Score on a 0-10 scale. Eight criteria fall under it in two groups.

  • Buyer outcomes (for multi-agent & swarm tooling)
    • Visual agent / workflow builder
    • RAG & knowledge pipelines
    • Self-host + Cloud path
    • Production ops & publishing
  • Company & commercial
    • Innovation & product leadership
    • Project management & communication
    • Pricing
    • Contract fairness

Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.

Score Composition

InputWeightWhat it covers
Reviews40%A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope.
Product35%Hands-on look at screens and workflows.
Pricing15%Whether the price looks fair for what you get.
Docs & training10%Docs, tutorials, and training material.

How we balanced the evidence

The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.

Scope

Dify is graded here as multi-agent & swarm tooling. Criteria scores can move as more review volume and product checks are added.

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