Head-to-head · Ai Agent Automation
Dify vs Langflow
Dify leads on 0 checks, Langflow on 0, and 1 is even. Who comes out ahead on the 1 yes/no, price and count check where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreDify · 8.7/10
- Free planboth
Dify scores higher on our rubric for ai agent automation: 8.7 against 8.5 out of 10; our editors rank them #5 and #7.
Dify is the better fit for teams wanting visual agent and workflow building. Langflow is the better fit for teams prototyping visual, self-hosted agent flows.
- Dify fits best
Teams wanting visual agent and workflow building
- Langflow fits best
Teams prototyping visual, self-hosted agent flows
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Side by side
| Feature | Dify 8.7/10 Visit ↗ | Langflow 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.7 | 8.5 |
| Ranking | #5 in Ai Agent Automation | #7 in Ai Agent Automation |
| Best for | Teams wanting visual agent and workflow building | Teams prototyping visual, self-hosted agent flows |
| Pricing model | Free plan + paid | Free |
| Starting price | — | Free plan |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted, Desktop |
| Platforms | Web | Web, Windows, macOS, Linux |
| Support | Email, Community, Docs | Community, Docs |
| Integrations | 260+ integrations | 12 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features Dify 0/2 · Langflow 0/2 | ||
| Self-hosted option | Not checked yet | Not checked yet |
| Human approval steps | Not checked yet | Not checked yet |
| Specs | ||
| Agent builder | Not checked yet | Not checked yet |
| Model providers | Not checked yet | Not checked yet |
| Workflow triggers | Not checked yet | Not checked yet |
| Execution limit | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Dify is an open-source platform for building AI applications, agent workflows, and retrieval-augmented generation systems. Its visual canvas brings model calls, tools, code, branching, triggers, iteration, knowledge retrieval, and human… Read the review → |
Langflow is a visual, Python-powered platform for building, testing, and deploying AI agents and LLM applications. It is aimed at developers and teams who want to prototype flows visually while retaining options to extend and deploy them… Read the review → |
Strengths and trade-offs
Dify — where it wins
- Visual nodes cover models, tools, code, branching, triggers, and iteration.
- Knowledge retrieval, RAG workflows, and human approval steps are supported.
- Publish apps as web apps, APIs, and MCP-compatible workflow tools.
Where it doesn't
- Sandbox is limited to 200 message credits and one team member.
- Professional supports only 3 team members; larger teams need Team.
- Voice agents depend on Marketplace extensions rather than a standalone core channel.
Langflow — where it wins
- Connect models, tools, components, and outputs in a visual flow builder
- Build multi-agent and RAG workflows with memory and vector stores
- Deploy through APIs, Docker, Kubernetes, cloud, or self-hosting
Where it doesn't
- Voice mode is not available in Langflow Desktop
- Provider integrations are delivered through installable extensions
- Support channels listed are community and documentation
- Dify8.7/10 · Free plan
An open-source visual builder for AI agents and workflows, with cloud and self-hosted options.
Visit DifyFull verdict → - Langflow8.5/10 · Free plan
A visual, open-source builder for teams prototyping agent and retrieval workflows.
Visit LangflowFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update






