Langflow vs Vellum
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Langflow if you want open-source visual low-code builder for ai agents and rag apps (Supervised agent, freemium); choose Vellum if you want platform to build, evaluate, and deploy llm apps and ai agents (Supervised agent, contact).
| Langflow | Vellum | |
|---|---|---|
| What it is | Open-source visual low-code builder for AI agents and RAG apps | Platform to build, evaluate, and deploy LLM apps and AI agents |
| Type | platform | platform |
| Autonomy | Supervised agent | Supervised agent |
| Pricing | freemium · Self-host free (open source); managed/cloud options available | contact |
| Best for | developers, smb, enterprise | developers, enterprise |
| Deployment | self-hosted, saas | saas, api |
| Modalities | text, api | text, code, api |
| Models | model-agnostic, open-source | model-agnostic, gpt, claude, gemini |
| Protocols | mcp, function-calling, rest-api | mcp, function-calling, rest-api |
| Integrations | OpenAI, Anthropic, Google Gemini, vector databases, DataStax Astra | Composio, OpenAI, Anthropic, Google Gemini, AWS Bedrock, Cursor |
| Capabilities | 3 documented | 4 documented |
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
Vellum
- +Genuinely model-agnostic with a large, frequently updated catalog, avoiding lock-in
- +Covers the full LLM lifecycle (experiment, evaluate, deploy, monitor) in one place
- +Strong agent tooling with first-class MCP, Composio integrations, and auto-generated function-calling schemas
- -Brand and domain confusion: the apex vellum.ai domain appeared to host an unrelated product at this review
- -Platform pricing is not transparently published (sales-led, enterprise-leaning)
Which should you choose?
Langflow is open-source visual low-code builder for ai agents and rag apps, best for developers, smb, enterprise. Vellum is platform to build, evaluate, and deploy llm apps and ai agents, best for developers, enterprise. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.