Dify vs Langflow: Which AI Agent Is Better in 2026?
Two closely related no-code builders tools, side by side. Everything here comes from our directory listing; pricing is as each maker states it. Both are listed for: automate workflows, build apps without code, write code.
| Feature |  Dify |  Langflow |
|---|---|---|
| Description | Open-source platform for building LLM apps and agents visually. | Visual drag-and-drop builder for AI agents and workflows that you can run locally, deploy as an API or expose as an MCP server. |
| Pricing model | Source-available + cloud | Open source + cloud |
| Open source | Public GitHub repo listed | Yes |
| Key features | Visual workflows; RAG pipelines; Agents | Visual drag-and-drop builder; Deploy as API; Expose as MCP server |
| Best for | Teams who want an open-source platform to build LLM apps and agents visually | Builders who want a drag-and-drop agent builder they can run locally, deploy as an API or expose as an MCP server |
| Category | no-code builders | no-code builders |
| Audience | Ready to use | For builders |
| Pricing (as stated) | Source-available + paid cloud | Open source + cloud |
| Maturity | Mature | Mature |
| GitHub stars | 158,410 | 155,757 |
| Use cases | write code, automate workflows, build apps without code | write code, automate workflows, build apps without code |
| Link checked | 2026-10-14 | 2026-10-16 |
| Official site | Visit ↗ | Visit ↗ |
We don't run benchmarks. The recommendation below is based on the listing facts in this table, not on testing. Check each official site for current pricing and features before you choose.
Our recommendation
Choose Dify if you want a ready-to-use visual platform for LLM apps and agents, open source or as a paid cloud.
Choose Langflow if you want to run a drag-and-drop builder locally and ship flows as an API or an MCP server.
FAQ
What is the difference between Dify and Langflow?
Dify: Open-source platform for building LLM apps and agents visually. Langflow: Visual drag-and-drop builder for AI agents and workflows that you can run locally, deploy as an API or expose as an MCP server.
Is Dify or Langflow open source?
Dify: Public GitHub repo listed. Langflow: Yes. Pricing as each maker states it: Dify, Source-available + paid cloud; Langflow, Open source + cloud.
Should I choose Dify or Langflow?
Choose Dify if you want a ready-to-use visual platform for LLM apps and agents, open source or as a paid cloud. Choose Langflow if you want to run a drag-and-drop builder locally and ship flows as an API or an MCP server.
Related: Dify · Langflow · More no-code builders tools · MCP servers
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