Langflow

Visual flow builder for AI agents in Python — open source, MIT-licensed, and infinitely hackable.

What is Langflow?

Langflow is an MIT-licensed visual builder for AI workflows and agents, beloved by Python teams for one defining trait: every node on the canvas is Python you can open and rewrite. Drag components for models, prompts, vector stores, tools, and agents; connect them into RAG pipelines or multi-agent systems; test in the built-in playground; then serve every flow as an API or export it as JSON for version control. The component library spans all major LLM providers and vector databases, with MCP support letting flows act as tools for other agents. Acquired by DataStax (now under IBM), it ships both as a pip-installable local app and a managed cloud with a generous free tier. Compared to Flowise it's the Python-native twin; compared to Dify it's a flexible construction kit rather than a full platform — the choice of builders who eventually want to read and own the code underneath.

Key Features

Visual canvas where every component is editable Python

Full LLM, embedding, and vector store integration catalog

Built-in playground for interactive flow testing

Every flow served as an API; JSON export for git

MCP support — flows usable as agent tools

Use Cases

Prototyping RAG architectures before hardening in code
Multi-agent experiments with custom Python components
Teaching and demonstrating LLM pipeline concepts
Serving internal AI utilities as quick APIs

How to Use Langflow

1pip install langflow (or use the managed cloud)
2Compose components on the canvas and add credentials
3Iterate in the playground until outputs satisfy
4Publish as an API endpoint or export the flow JSON

Best For

Python developers who want visual speed plus code controlData teams in the DataStax/Astra ecosystemBuilders preferring MIT licensing end to end

FAQ

Is Langflow free?

Yes. The software is MIT-licensed and free to run locally or self-hosted, and the managed cloud offers a generous free tier for getting started.

Do I need to know Python to use Langflow?

No for basic flows — the canvas is fully visual. But Python unlocks its differentiator: opening any component and customizing its code directly.

Langflow or Flowise?

Functionally similar visual builders. Choose Langflow if your team lives in Python and wants component-level hackability; choose Flowise for Node.js stacks and website chatbot embedding.

Looking for Langflow alternatives?

Compare 2 hand-picked alternatives by pricing, free plans, and open-source availability.

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Compare Langflow side by side

In-depth, editor-written comparisons with a clear verdict.

Langflow vs Flowise

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