What it does
Core capabilities at a glance
- Visual drag-and-drop flow builder
- 200+ LangChain integrations
- Chat flows, agent flows, and sequential flows
- Embeddable chat widgets
- Built-in document loaders and vector stores
- API and webhook endpoints
Deep dive
The full breakdown - performance, comparisons, and setup
Flowise
Flowise makes LangChain visual. Instead of writing Python code to chain together prompts, models, and tools, you drag and drop components onto a canvas and connect them.
What it is
Flowise is an open-source, low-code platform that wraps LangChain into a visual interface. It provides pre-built nodes for models, prompts, memory, vector stores, document loaders, tools, and agents - all connected through a drag-and-drop canvas.
Why this matters
LangChain is powerful but complex. Flowise abstracts that complexity:
- Visual LangChain: every LangChain concept maps to a visual node
- 200+ integrations: models, vector stores, document loaders, tools - all available as nodes
- Chat widget: embed your AI flow into any website with one script tag
- API endpoints: every flow becomes a REST API automatically
How it stacks up
| Flowise | Dify | Langflow | n8n | |
|---|---|---|---|---|
| LangChain-native | ✓✓ | ✗ | ✗ | ✗ |
| Visual builder | ✓ | ✓ | ✓ | ✓ |
| RAG pipeline | ✓ | ✓ | ✓ | ✗ |
| Agent flows | ✓ | ✓ | ✓ | ✓ |
| Embed widget | ✓ | ✗ | ✗ | ✗ |
| Best for | LangChain users | Full LLM apps | Research, graph | Automation |
What runs on it
- Ollama - recommended local LLM provider
- LangChain - the underlying framework powering Flowise
- Dify - alternative with more built-in features
Get started
# One-line npx start
npx flowise start
# Docker
docker run -d --name flowise -p 3000:3000 flowiseai/flowiseWhen to use something else
From the community
What users are saying
“Disclosure up front: I build LLMGraph (llmgraph.ai), a hosted product in the same category, so I have a horse in this race.”
“Flowise was acquired by Workday in August 2025 [1]. At the time, they posted "Flowise isn’t going anywhere, we’re doubling down.”
“Flowise was cool. I used to to help build an enterprise employee search tool with it a few years back. https://medium.com/better-programming/employee-search-with-o... The fact is, there's not as much need for drag-n-drop low code tools anymore. At least I don't have much need.”
Frequently asked
Quick answers to common questions
What is Flowise?
Flowise is a workflow tool for local AI workloads. Drag-and-drop LLM flow builder with LangChain integration for building custom AI agents and chatbots.
Is Flowise free and open source?
Yes, Flowise has 55,512 GitHub stars and is licensed under Apache-2.0. You can self-host it for free on web, docker, linux.
What platforms does Flowise support?
Flowise runs on web, docker, linux.
What hardware do I need for Flowise?
The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. Flowise has 55,512 GitHub stars and an active community.
Does Flowise support GPU acceleration?
Flowise supports GPU acceleration via CUDA, Metal, or Vulkan depending on your platform. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.
What are the best alternatives to Flowise?
Popular alternatives include other workflow tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.
How much does Flowise cost?
Flowise is freemium. Check the official website for current pricing.
Pairs well with
Complementary tools, models, and hardware