Dify vs Langflow
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Dify if you want open-source platform for building llm apps and agentic workflows (Supervised agent, freemium); choose Langflow if you want open-source visual low-code builder for ai agents and rag apps (Supervised agent, freemium).
| Dify | Langflow | |
|---|---|---|
| What it is | Open-source platform for building LLM apps and agentic workflows | Open-source visual low-code builder for AI agents and RAG apps |
| Type | platform | platform |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | freemium · Self-host free; Dify Cloud has a free sandbox plan | freemium · Self-host free (open source); managed/cloud options available |
| Best for | developers, smb, mid-market | developers, smb, enterprise |
| Deployment | self-hosted, saas, on-prem | self-hosted, saas |
| Modalities | text, api | text, api |
| Models | model-agnostic, open-source | model-agnostic, open-source |
| Protocols | function-calling, rest-api, mcp | mcp, function-calling, rest-api |
| Integrations | OpenAI, Anthropic, Mistral, Llama, Kubernetes, Docker | OpenAI, Anthropic, Google Gemini, vector databases, DataStax Astra |
| Capabilities | 4 documented | 3 documented |
Dify
- +Open source and self-hostable (Docker, Kubernetes) with no vendor lock-in
- +Combines workflows, RAG, agents, model management, and observability in one stack
- +Broad model support including any OpenAI-API-compatible endpoint
- -A building platform: you design and operate the apps and their guardrails
- -Self-hosting at scale requires infrastructure expertise
Langflow
- +Open source with a large community and 100k+ GitHub stars
- +Built-in API and MCP servers make every flow a reusable tool
- +Backed by IBM (via DataStax) for continuity and enterprise reach
- -A building platform: you design the flows and their guardrails
- -Visual builders can get unwieldy for very complex logic
Which should you choose?
Dify is open-source platform for building llm apps and agentic workflows, best for developers, smb, mid-market. Langflow is open-source visual low-code builder for ai agents and rag apps, best for developers, smb, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.