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automation

Langflow: AI-Powered Automation

Build AI-powered agents with Langflow. For founders needing automation.
intermediate⏱ 30 minutes💵 Free + LLM API costs
149,263 stars9,196 forksPythonQuality 8/10Updated 6/5/2026100% free · open source
What it is

Builds and deploys AI-powered agents and workflows using Python.

What you can make with it

Automations like adding new customers to Notion and sending welcome emails via Resend, by connecting your apps and services to Langflow's AI models.

How it helps

Langflow helps you focus on building your business instead of writing code, by automating tasks and workflows with AI-powered agents.

Real use case example

"A founder can use Langflow to automate their customer onboarding workflow in just a few steps. First, they connect their Stripe subscription service to Langflow. Next, they create a new agent that adds new customers to their Notion database. Finally, they deploy the agent and automate sending a welcome email via Resend. As a result, their team can focus on high-value tasks while keeping customers engaged."

If you're new

Langflow is for beginners who want to automate simple workflows using AI without needing extensive coding skills.

If you're senior

Senior engineers and professionals will find Langflow useful when they need to deploy custom AI-powered workflows and agents quickly, outside of a large enterprise environment.

Common confusion cleared up

Don't confuse Langflow with other low-code automation tools, it's specifically designed for building and deploying AI-powered agents and workflows.

Best inside these AI tools
Claude DesktopSelf-hostedAny AI Client
Pairs with
Claude APIStripe webhookNotion database
Why we list it on WorkflowStacks: This marketplace includes Langflow because it's a free, open-source tool that saves costs versus using multiple paid alternatives for automation and workflow management.
What it does

Langflow allows founders to build and deploy AI-powered agents and workflows, automating tasks and processes with custom logic and integration.

Install / run
pip install langflow
When to use it
  • •When you need to automate repetitive tasks with custom AI logic
  • •When integrating multiple services and APIs into a single workflow
  • •When building conversational interfaces or chatbots for customer support
Quick start
  1. 1Clone the Langflow repository with `git clone https://github.com/langflow-ai/langflow.git`
  2. 2Navigate to the project directory with `cd langflow`
  3. 3Create a new Langflow project with `langflow init my_project`
  4. 4Define your workflow in the `my_project/flow.yaml` file
  5. 5Run your workflow with `langflow run my_project/flow.yaml`
Ready-to-paste prompt
Define a simple workflow in `flow.yaml` like `{ version: '1.0', start: 'greeting', states: { greeting: { type: 'action', next: 'farewell', actions: [ { type: 'msg', message: 'Hello!' } ] } } }`
Heads up: Make sure you have Python 3.8 or later installed, as Langflow requires this version for its dependencies to work correctly
Saves to your device

Topics

agents
chatgpt
generative-ai
large-language-models
multiagent
react-flow
What's inside — free to inspect
No purchase needed

Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.

31
top-level files
13
folders
1360.9M
repo size
MIT
license
Key files
.pre-commit-config.yaml
AGENTS-example.md
AGENTS.md
package.json
README.md
File tree
.agents/
.cursor/
.devcontainer/
.github/
.vscode/
deploy/
docker/
docker_example/
docs/
regressions/
scripts/
src/
test-results/
.coderabbit.yaml
.composio.lock
.dockerignore
.env.example
.eslintrc.json
.gitattributes
.gitignore
.pre-commit-config.yaml
.secrets.baseline
.whitesource
AGENTS-example.md
Quick Actions
Details
Creator
langflow-ai
Language
Python
Category
automation
Published
2/8/2023

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