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AI agents and automation

langflow

by langflow-ai

Langflow is a visual builder for creating AI agents and workflows by connecting components on a canvas. Each workflow can be run as an API or as an MCP server, so other applications can use it.

Worth a lookEstablished, with a few things to check (listed below).

View on GitHubProject website

Stars
156.1k
Licence
MIT
Runs on
Your computer
Setup
Moderate
Language
Python
Age
1356 days

What you can do with it

  • Build AI agents and multi-agent workflows by connecting components in a visual editor
  • Test and refine flows in an interactive playground, then deploy them as an API or MCP server
  • Customise components with Python code and connect to major language models and vector databases

Make money with it

Build and sell custom AI chatbots or automation workflows to small businesses as a freelance service.

An idea, not financial advice. Check the licence before charging for anything built on it.

Ways a business could use it

  • Build a customer support or internal knowledge chatbot over your own documents without writing a full application
  • Automate repetitive tasks such as lead qualification, email triage or report drafting with AI workflows

Can you use it commercially?

Free to use, change and sell, including in paid products. Keep the copyright notice.

Not legal advice. Read the project's licence file before building a product on it.

Getting it running

Download Langflow Desktop for Windows or macOS, install the Python package with uv (uv pip install langflow), or run the Docker image langflowai/langflow.

Follow the official instructions in the project README.

Things to check

  • Most useful flows need paid API keys from language model providers
  • You must set an administrator password before running the official releases and Docker images
  • Running it as a public server needs careful security setup

Who's talking about it

Checked 27 Oct 2026. Summary drafted by AI from the project's README.

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