langflow

(โ˜… 153,529)

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

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  • .coderabbit.yaml
  • .composio.lock
  • .dockerignore
  • .env.example
  • .eslintrc.json
  • .gitattributes
  • .gitignore
  • .pre-commit-config.yaml
  • .secrets.baseline
  • .whitesource
  • AGENTS-example.md
  • AGENTS.md
  • BUNDLE_API.md
  • ci-skip-analysis.md
  • CLAUDE.md
  • CODE_OF_CONDUCT.md
  • codecov.yml
  • CONTRIBUTING.md
  • DESIGN.md
  • DEVELOPMENT.md
  • LICENSE
  • Makefile
  • Makefile.frontend
  • package-lock.json
  • package.json
  • pyproject.toml
  • README.md
  • RELEASE.md
  • render.yaml
  • SECURITY.md

# Installation Guide

1. Get the code
git clone https://github.com/langflow-ai/langflow

Downloads the entire project code from GitHub to your computer.

cd langflow

Moves into the project folder you just downloaded.

2. Docker

Easy Recommended
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
docker run -p 7860:7860 langflowai/langflow:latest

Runs the built image as an actual container.

โœ… Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.

Pulled directly from this repo's README.

3. Node.js

Easy
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Node.js Node.js must be installed to use npm. The LTS version is recommended.
npm install

Downloads and installs the libraries listed in package.json.

npm start

Starts the development/run server.

โœ… After running the command, open the address shown in the terminal (usually something like http://localhost:3000) in your browser.

4. Python

Easy
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
uv pip install langflow -U

Installs the Python libraries listed in requirements.txt (or similar).

โœ… If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.

5. Make

Medium
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Make Usually pre-installed on Linux/macOS. On Windows, install separately (e.g. via MSYS2 or WSL).
make run_cli

Compiles the code based on the generated build configuration to produce an executable.

โœ… If it finishes without errors, it worked. Try running the generated executable directly.

Pulled directly from this repo's README.

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Jupyter Notebook
// repository documentation