What it does
Core capabilities at a glance
- Visual drag-and-drop canvas for AI pipelines
- Multi-agent orchestration
- RAG pipeline builder with multiple retrieval strategies
- Custom component SDK for extending functionality
- Export flows as API endpoints
- Pre-built templates for common patterns (chat, RAG, agent)
Deep dive
The full breakdown - performance, comparisons, and setup
Langflow
Langflow is a visual framework for building AI applications that need multi-agent orchestration or complex RAG pipelines. It was originally built by the LangChain community and later acquired by DataStax.
What it is
Langflow provides a graph-based canvas where each node is a building block - a model, a prompt, a vector store, a tool, or an agent. You connect them visually and the data flows through the graph in real-time. It's like Node-RED for AI.
Why this matters
Complex AI applications have many moving parts. Langflow makes the architecture visible:
- Real-time data visualization: see exactly what data flows between nodes
- Multi-agent orchestration: define agents, give them tools, and orchestrate their collaboration
- RAG pipeline experimentation: swap retrievers, chunking strategies, and rerankers visually
- Export as API: any flow becomes a deployable API endpoint
How it stacks up
| Langflow | Flowise | Dify | n8n | |
|---|---|---|---|---|
| Graph visualization | ✓✓ | ✓ | ✓ | ✓ |
| Multi-agent | ✓ | ✓ | ✓ | ✓ |
| RAG pipeline | ✓ | ✓ | ✓ | ✗ |
| Custom components | ✓ (SDK) | ✓ (code) | ✗ | ✓ (code) |
| API export | ✓ | ✓ | ✓ | ✓ |
| Best for | Research, prototyping | LangChain users | Production apps | General automation |
What runs on it
- Ollama - connect as a local LLM provider
- LangChain - underlying framework for many components
- Flowise - more opinionated, less flexible alternative
Get started
# One-line pip install
pip install langflow
langflow run
# Or Docker
docker run -d -p 7860:7860 langflowai/langflow:latestWhat the community says
"Langflow's graph-based approach is more intuitive than Flowise for complex flows. The ability to see data flowing between nodes in real-time is a game changer."
- u/graph-lover on r/LocalLLaMA, 198 upvotes
When to use something else
Frequently asked
Quick answers to common questions
What is Langflow?
Langflow is a workflow tool for local AI workloads. Low-code visual framework for building multi-agent and RAG applications with any LLM provider.
Is Langflow free and open source?
Yes, Langflow has 149,355 GitHub stars and is licensed under MIT. You can self-host it for free on web, docker, linux, macos.
What platforms does Langflow support?
Langflow runs on web, docker, linux, macos.
What hardware do I need for Langflow?
The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. Langflow has 149,355 GitHub stars and an active community.
Does Langflow support GPU acceleration?
Langflow 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 Langflow?
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 Langflow cost?
Langflow is free-open-source. It is completely free and open source to self-host.
Pairs well with
Complementary tools, models, and hardware
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