---
id: langflow
version: "1.11.3"
license: MIT
license_treatment: permissive
maintenance: active
---

# langflow — A Python package with a built-in web application

License: permissive · Maintenance: active · Downloads: 108.3K/mo

## What it is and what it does

Langflow is a platform for building AI-powered workflows and agents through a visual interface backed by a Python application. It combines a web-based builder with programmatic access, allowing developers to design flows visually, customize components in Python, test interactively, and deploy as REST APIs or MCP servers. The package includes support for major LLMs, vector databases, and a growing library of integrations through optional lfx-* dependencies.

The platform is designed for rapid iteration and production deployment. Developers can author workflows visually, access and modify source code for any component, test flows step-by-step in an interactive playground, and orchestrate multi-agent systems with conversation management. Workflows can be exported as JSON or deployed directly as APIs or MCP servers, making them integrable into applications built on any framework.

Use it for:

- Build and test LLM-powered chatbots and agents without writing boilerplate code.
- Orchestrate multi-agent systems with conversation management and retrieval components.
- Deploy AI workflows as REST APIs for integration into existing applications.
- Rapidly prototype and iterate on AI workflows using the visual builder and interactive playground.
- Export workflows as JSON or MCP servers for use in other applications or frameworks.
- Customize pre-built AI components using Python when the visual interface is insufficient.

## Worth the install?

AI-flagged interpretation of the facts above — verify before relying.

Langflow is a visual platform for building, testing, and deploying AI workflows and agents with a web interface, Python API, and MCP server support.

Yes. Langflow is actively maintained, has no known vulnerabilities, installs with low friction, and is licensed under MIT. It is well-suited for developers building AI workflows who want a visual authoring experience combined with programmatic control. The 20 optional lfx-* dependencies allow you to start small and add integrations as needed.

## Install

pip install langflow
uv add langflow
poetry add langflow

## Installing langflow

Before you install: Low friction installation via pip; actively maintained with a release 3 days old and 153252 GitHub stars. Requires Python 3.10–3.14 and uv is recommended but not required.

License in practice: MIT license permits commercial and private use with minimal restrictions, making it suitable for both open-source and proprietary projects.

Quickstart:

pip install langflow -U
langflow run
# Langflow starts at http://127.0.0.1:7860

Requires Python 3.10–3.14; uv package manager is recommended for installation.

Verify before relying:

- Whether the 20 lfx-* runtime dependencies are all optional or if some are required for core functionality.
- Performance characteristics and scalability limits for production multi-agent deployments.
- Exact feature parity between the web UI and programmatic API for workflow definition.

## Package facts

- License: MIT (permissive)
- Python support: supports_current
- Install friction: low
- Maintenance: active
- Downloads: 108.3K/month (top 15,000 on PyPI)
- Known vulnerabilities: none known

## Tags

visual ai workflow builder, langchain ui platform, ai agent orchestration, llm workflow deployment, no-code ai flows, ai application builder, multi-agent orchestration platform, visual-builder, multi-agent, llm-orchestration

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