Langflow

Visual development environment for AI workflows and agents

FreeOpen Source
  • Automation & agents · editorial fit

Overview

Langflow is a visual framework for building and serving AI agents and retrieval workflows. Developers connect models, prompts, tools, data sources, memory, and control-flow components on a canvas, inspect execution, and expose the resulting flow through an API or application.

The core Langflow project is available from its official public repository under the MIT license. Operating a deployment still requires infrastructure and any model, database, or external-service credentials used by the flow.

Supported use cases

Prototype a retrieval workflow

Connect a model to documents or a vector store and test the resulting answers.

Build a tool-using agent

Define the tools and control flow an agent can use for a bounded task.

Serve a visual prototype through an API

Turn a tested canvas flow into a callable backend for another application.

Limitations

Bring the surrounding services

Model inference, databases, external APIs, hosting, and their costs are separate from the open-source framework.

Key capabilities

  • Visual flow construction

    Builds agent and RAG graphs from connected components on a canvas.

  • Model and tool composition

    Combines supported models, prompts, tools, memory, and external data services.

  • Execution inspection

    Lets developers run, inspect, and debug flows while iterating.

  • API serving

    Exposes a completed flow so another application can invoke it programmatically.