Langflow

Free

LangFlow is a UI for LangChain ![GitHub Repo stars](https://img.shields.io/github/stars/logspace-ai/langflow?style=social)

FreeFree tier

Type

Open Source

Visit Website GitHub (40 stars)

About Langflow

Langflow is an open-source platform for building and deploying AI-powered agents and workflows. It provides a visual builder interface for rapid prototyping, with the flexibility to customize components using Python. The platform supports all major LLMs, vector databases, and a growing library of AI tools. Key features include an interactive playground for testing flows, multi-agent orchestration with conversation management, and deployment options as an API, JSON export, or MCP server. Langflow also offers observability integrations with LangSmith and LangFuse, and is designed for enterprise security and scalability. Available via Python package, Docker, or a desktop application for Windows and macOS.

Key Features

Visual builder interface for rapid prototyping and iteration

Source code access to customize components using Python

Interactive playground for step-by-step testing and refinement

Multi-agent orchestration with conversation management and retrieval

Deploy as an API or export as JSON for integration

Deploy as an MCP server to turn flows into tools for MCP clients

Observability integrations with LangSmith, LangFuse, and others

Enterprise-ready security and scalability

Desktop application for Windows and macOS with all dependencies included

Supports all major LLMs, vector databases, and a growing library of AI tools

Pros & Cons

Pros

Open-source and free to use with no licensing costs
Visual builder lowers the barrier for building AI workflows
Flexible deployment options: API, JSON export, MCP server, or desktop app
Supports a wide range of LLMs, vector databases, and tools
Interactive playground enables quick testing and debugging
Source code access allows deep customization of components
Enterprise-ready with security and scalability features
Active community and extensive documentation on GitHub

Cons

Requires technical knowledge (Python, package management) to set up and customize
Primarily designed for developers; non-technical users may face a learning curve
Dependency on Python environment or Docker for installation
Relatively new platform; ecosystem and third-party integrations still growing

Best For

Building and deploying AI-powered agents and workflowsIntegrating AI workflows into applications via API or MCP serverRapid prototyping and testing of AI flows with a visual interfaceMulti-agent systems with conversation management and retrievalCustomizing AI components with Python for advanced use casesObservability and monitoring of AI workflows with LangSmith and LangFuse

FAQ

What is Langflow?

Langflow is an open-source platform for building and deploying AI-powered agents and workflows. It features a visual builder interface, supports all major LLMs and vector databases, and provides built-in API and MCP servers for integration.

How do I install Langflow?

The recommended way is to install the Python package using pip: 'uv pip install langflow -U' or simply 'pip install langflow'. Then run 'langflow run' to start the server at http://127.0.0.1:7860. Docker images are also available.

Can I deploy Langflow workflows as an API?

Yes, Langflow includes built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications. You can also export flows as JSON for use in Python apps.

Is Langflow free to use?

Yes, Langflow is open-source and free to use. It is available under an open-source license (MIT).

What are the system requirements?

Langflow requires Python 3.10–3.14. It can be run locally via a Python package or using Docker. A desktop version is available for Windows and macOS with all dependencies included.