๐ค Stuck Choosing Between Langflow and Flowise?
If you're diving into the world of no-code AI development, you've probably come across two buzzworthy tools: Langflow and FlowiseAI.
Both are fantastic platforms for building AI-powered workflows, agents, or chatbots, without writing code. But they’re not the same.
Let’s break down the key differences so you can pick the one that fits your goals, skills, and vibe.
๐งฑ What Are They?
๐ท Langflow
A visual playground for building complex LLM workflows — using drag-and-drop chains, prompts, tools, and memory. Inspired by LangChain’s architecture.
๐ก Think of it as a "Flowchart UI" for advanced AI devs or tinkerers.
๐ข Flowise
A super user-friendly no-code UI for LangChain that helps you build and deploy AI agents, chatbots, and tools quickly, even if you have zero coding background.
๐ก Think of it as "Airtable meets GPT-4" for building useful AI workflows fast.
Langflow vs Flowise
| Feature |
Langflow |
FlowiseAI |
| ๐ง Built On |
LangChain |
LangChain |
| ๐ผ Interface |
Visual drag-and-drop |
Visual + form-based |
| ๐ฉ๐ป Complexity Level |
Medium to high |
Beginner-friendly |
| ๐งฑ Architecture Style |
Agent & chain building blocks |
Flow-based, tool-centric |
| โ๏ธ Custom Prompts |
Yes |
Yes |
| ๐ Docs/DB Support |
Vector DB, APIs, local files |
PDFs, Pinecone, Supabase, etc. |
| ๐ Deployment |
Limited (CLI, local, Docker) |
Easy (embed, API, UI, cloud) |
| ๐ Integrations |
OpenAI, Cohere, Claude, etc. |
Same + built-in widgets |
| ๐ Loop/Agent Support |
Partial |
More structured and ready-to-use |
| ๐งช Best For |
Tinkerers, devs, researchers |
Business users, teams, MVPs |
| ๐งฉ Extensibility |
Higher, with code |
Lower, without dev knowledge |
๐ฆ Langflow Pros & Cons
โ
Pros
- Open-source, customizable
- Clean node-based interface
- Great for learning LangChain’s architecture
- Good for multi-component AI flows
โ Cons
- Steeper learning curve
- Not as easy to deploy or share with others
- Can feel clunky for non-devs
๐ฉ Flowise Pros & Cons
โ
Pros
- Very beginner-friendly UI
- Built-in integrations (e.g., Pinecone, Hugging Face)
- Easy to deploy and use in products
- Great community and documentation
โ Cons
- Less flexible for edge cases
- Limited logic chaining compared to Langflow
- Custom tools may require dev input
๐ง Which One Should You Use?
Here’s a simple way to decide:
| If You... |
Go With |
| Want to learn how LLM workflows work |
Langflow |
| Need to build a tool for your business |
FlowiseAI |
| Are a developer who likes control |
Langflow |
| Want to build a chatbot for your website |
FlowiseAI |
| Are you experimenting with LangChain agents |
Langflow |
| Want to ship something fast with no code |
FlowiseAI |
๐ฎ Final Thoughts: Choose the One That Matches Your Flow
Langflow and Flowise are both part of the vibe coding movement, making AI development feel less like programming and more like collaboration.
- Langflow is better for devs, researchers, and anyone who wants to architect something custom or experiment with logic-heavy flows.
- Flowise is your go-to if you’re a business user, entrepreneur, or creator who wants results now without diving into code.
Either way, you’ll be vibing your way into building some amazing AI tools — and that’s what really matters.