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Langflow

Open source

Visual, drag-and-drop builder for AI agents and workflows

Langflow preview

About Langflow

Langflow is an open source visual builder for AI agents and workflows. You arrange components on a canvas, connect them, and run the result as a flow that can also be served as an API.

What it does

Each block in Langflow stands for a model, a data source, a tool or a logic step, and you connect the blocks with lines. You can test a flow in the built-in playground and swap models to compare their output. Because the underlying code is Python, you can write custom components when the visual blocks are not enough.

Key features

  • Drag-and-drop component canvas
  • Swap models and compare outputs
  • Flows served as an API
  • Python code for custom components
  • Library of tools and data connectors

Who it's for

Developers and non-programmers who want to prototype agent or retrieval setups quickly. Teams that want to run the same flow on their own machines or in a hosted cloud can use the project both ways.

Pricing and good to know

Langflow is released under the MIT license and can be self-hosted at no software cost. A free cloud account is also offered for hosted deployments. Hosted terms can change, so check them before you depend on one.

Highlights

  • Drag-and-drop component canvas
  • Swap models and compare outputs
  • Flows served as an API
  • Python code for custom components
  • Library of tools and data connectors

Ratings & reviews

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