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Langflow

Langflow is an open-source platform for building and deploying AI-powered agents and workflows.

  • AI
Langflow is an open-source platform for building and deploying AI-powered agents and workflows. It gives developers a visual authoring experience and built-in API and Model Context Protocol (MCP) servers that turn every workflow into a tool callable from any framework or stack. It ships with support for all major large language models, vector databases, and a growing library of AI tools.

Platform availability

Available on 3 of 6 install platforms

Also on Docker Hub and GitHub

Health score

85/100 Excellent

Maintained
100last commit 3 days ago
Popular
100155,403 GitHub stars
Easy to install
553 install platforms, install notes, Docker image
Light to run
602 GB minimum RAM, runs on ARM
How is this calculated?

A 0-100 score computed nightly from four factors: maintained (40%: recent commits and steady activity), popular (25%: GitHub stars, log scale), easy to install (20%: platforms, install notes, setup guides, Docker image) and light to run (15%: minimum RAM, ARM support). Factors without data are left out and the rest are rescaled.

Availability: platform listings confirmed today, links checked 9 days ago

GitHub stars
155,403
Open issues
1144
Last commit
2026-10-06
Latest release
v1.12.5
License
MIT
Activity
declining

Checked yesterday - source: GitHub (langflow-ai/langflow)

Resources & Compatibility

Minimum requirements: 2 GB RAM, 1 CPU core(s). ARM (e.g. Raspberry Pi) is supported.

Checked 10 days ago - source: Docker Hub image tags and published docs

First-install notes

  • Start Langflow in Docker and set a password Run the Docker quickstart command, replace SUPERUSER_PASSWORD with a real password, and keep the port 7860 mapping so your browser can reach the app. Keep LANGFLOW_AUTO_LOGIN=false so people cannot log in without a password. source
  • Create your first account in .env Set LANGFLOW_SUPERUSER, LANGFLOW_SUPERUSER_PASSWORD, and LANGFLOW_SECRET_KEY in the .env file, which stores settings in text form, before first run. These create your first account and secure how sessions are signed, avoiding login failures or an insecure setup. source
  • Keep your .env settings safe Treat the .env file as private and store it somewhere safe, because it can include your superuser password, secret key, and database connection details. If it is lost or shared, you may lose easy access to your settings or let others use your Langflow. source

Fetched 9 days ago - each note links to its source

Alternatives (4)

  • Dify - LLMOps Platform - Unifies plugin and dataset integration with a single API, offers visual orchestration for AI application creation, analytics, annotation, a…
  • Flowise - Open source low-code tool for developers to build customized LLM orchestration flow and AI agents.
  • Sim Studio - Sim Studio is an open-source, self-hosted application server that provides the web interface, API, and real-time collaboration for building…
  • Windmill Labs - Turn scripts into sharable apps and APIs, compose them as workflows or data pipelines and expose them with UIs on the fastest and most reli…

Checked 7 days ago - source: AlternativeTo

Common questions

Which port does Langflow use by default?

Langflow starts on port 7860 for a local install. Docker also exposes port 7860 for browser access.

How do I create the first Langflow account before first run?

Set LANGFLOW_SUPERUSER, LANGFLOW_SUPERUSER_PASSWORD, and LANGFLOW_SECRET_KEY in the .env file. These create the first account and secure session signing.

Can I expose a local Langflow server publicly?

The documentation describes self-hosting a local Langflow server through an ngrok gateway.

Why might some components be missing?

Components can be missing because they are recategorized or deprecated as development continues.

Answers sourced from docs.langflow.org, docs.langflow.org, docs.langflow.org, github.com

Community

Collected 10 days ago - public community threads