Langflow is a powerful tool to build and deploy AI agents and MCP servers. It comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.

What is Langflow? Langflow is an open-source, Python-based, customizable framework for building AI applications. It supports important AI functionality like agents and the Model Context Protocol (MCP), …

Langflow is an IDE, but it's also a runtime you can call through the Langflow API with Python, JavaScript, or HTTP. When you start Langflow locally, you can send requests to the local Langflow …

Langflow Desktop is a desktop version of Langflow that simplifies dependency management and upgrades. However, some features aren't available for Langflow Desktop, such as the Shareable …

You use Langflow's visual editor to create, test, and share flows, which are functional representations of application workflows. Flows consist of components that represent individual steps in your …

The following steps explain how to create an agent flow in Langflow from a blank flow. For a prebuilt example, use the Simple Agent template or the Langflow quickstart.

Langflow quickstart: Start with the Simple Agent template, modify its tools, and then learn how to use an agent flow in an application. The Simple Agent template creates a basic agent flow with an Agent …

In addition to serving flows through Langflow MCP servers, you can use Langflow as an MCP client to access any MCP server, including your Langflow MCP servers. Interactions with Langflow MCP …

When you're ready to use Langflow for application development, learn how to trigger flows with the Langflow API, explore more advanced configuration options like custom dependencies, and, …

Create your own custom components to add any functionality you need to Langflow, from API integrations to data processing.