Software profileDify at a glance.
Open-source platform for building production-ready agentic workflows, RAG pipelines and LLM applications with a visual builder.
Lorezi score4.48/5
PricingFree
Free planAvailable
DeveloperDify
Decision summary
What matters first about Dify.
Open-source platform for building production-ready agentic workflows, RAG pipelines and LLM applications with a visual builder.
Lorezi score4.48/5Summary score; review the four dimensions below.
PriceFree
Best forDevelopers building LLM applications
Think twice ifNew users need to understand concepts such as RAG and prompting
Research freshnessCurrent
Last researchedAug 27, 2026
Scores summarize Lorezi's evaluation. Use the dimension breakdown and evidence to understand the trade-offs. See methodology and weighting.
Research freshness
Current
How current is this profile?
Research evidence is within Lorezi's 90-day freshness window.
Last researchedAug 27, 2026
Re-check byNov 25, 2026
Pricing
Checked
How does Dify charge?
Lorezi independently checked this pricing on Sep 25, 2026.
Model
Freemium
Starting point
Free
Billing basis
Free access
Pricing checked
Sep 25, 2026
Evaluation
How Dify performs.
Four consistent dimensions turn the headline score into a transparent product evaluation.
Editorial verdict
The decision on Dify.
Where it fits best.
- Developers building LLM applications
- Teams deploying RAG and agent workflows
- Self-hosters who want an open-source AI platform
Practical jobs to consider.
- Apply Visual workflow builder for agentic applications in a real workflow
- Apply RAG knowledge pipelines and retrieval workflows in a real workflow
- Apply Support for 200+ tools, multiple LLM providers and MCP in a real workflow
Trade-offs
Strengths and limitations together.
A useful software decision should show what stands out and what deserves caution in the same view.
Where Dify stands out.
- Open-source Community Edition supports self-hosting
- Strong visual tooling for agentic workflows and RAG
- Model-agnostic architecture works across many providers
What to weigh carefully.
- New users need to understand concepts such as RAG and prompting
- The interface can feel dense before the workflow model is familiar
- Production deployments still require careful model and infrastructure choices
What can I do with Dify?
- Apply visual workflow builder for agentic applications with Dify
- Apply rag knowledge pipelines and retrieval workflows with Dify
- Apply support for 200+ tools, multiple llm providers and mcp with Dify
Useful starting prompts.
- Build a RAG workflow for [approved knowledge documents] that cites retrieved passages and refuses answers without adequate evidence.
- Design an agent workflow with [read-only lookup tool], validation branches, retries and human approval before external actions.
- Debug [failed Dify execution trace], identifying retrieval, prompt, tool and output-validation causes before proposing a fix.
- Create an input-validation branch for [customer-service chatbot] that rejects empty requests and routes sensitive cases to a human.
- Design a Dify knowledge-base update process for [policy docs] with chunking review, version traceability and retrieval spot checks.
- Plan an LLM workflow that categorizes [incoming tickets], outputs structured JSON and flags low-confidence classifications.
- Write a small evaluation set to test [RAG app] against missing-source questions, contradictory passages and stale documents.
- Compare prompt-node output from [model A] and [model B] for [classification workflow], measuring schema errors and groundedness.
Expert review
Read the full Dify review.
The long-form editorial review lives on its own page, separate from this concise software profile.
Dify Review (2026): Features, Pricing, Pros & Cons
Read our expert Dify review covering features, pricing, pros, cons, performance and alternatives.
Comparisons
Compare Dify.
Use head-to-head evaluations when the useful question becomes which competing product better fits the job.
Alternatives
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