Chapter 1: Getting Started

Welcome to Chapter 1: Getting Started. In this part of Langflow Tutorial: Visual AI Agent and Workflow Platform, you will build an intuitive mental model first, then move into concrete implementation details and practical production tradeoffs.

This chapter gets Langflow running locally so you can build and test flows immediately.

Learning Goals

• install Langflow using the recommended package path
• run the local UI and create first flow
• validate basic node execution and output correctness
• understand key runtime prerequisites

Quick Start

uv pip install langflow -U
uv run langflow run

Langflow starts at http://127.0.0.1:7860 by default.

First Validation Checklist

1. UI loads and you can create a new flow
2. at least one model node executes successfully
3. flow output is visible in playground
4. save/export path works

Source References

• Langflow Installation Docs
• Langflow README

Summary

You now have a working Langflow environment ready for architecture and workflow design.

Next: Chapter 2: Platform Architecture

How These Components Connect

flowchart TD
    A[Install Langflow] --> B{Install method}
    B -->|pip| C[pip install langflow]
    B -->|Docker| D[docker run langflow]
    C --> E[langflow run]
    D --> E
    E --> F[Langflow UI on :7860]
    F --> G[Create new flow]
    G --> H[Drag-and-drop components]