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Head-to-head · Ai Agent Automation

Dify vs Langflow

  • Updated Oct 2026
  • Both researched from official sources
  • 1 check side by side
Higher score Dify #5 in Ai Agent Automation 8.7/10 Free plan Free plan✓ 0 of 2 features Visit Dify
Langflow #7 in Ai Agent Automation 8.5/10 Free plan Free plan✓ 0 of 2 features Visit 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

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

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
  • 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.
  • 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
Cons
  • 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.
  • Voice mode is not available in Langflow Desktop
  • Provider integrations are delivered through installable extensions
  • Support channels listed are community and documentation
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 →
  1. DifyAi Agent Automation 8.7Free plan
  2. LangflowAi Agent Automation 8.5Free plan

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 →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update