f8d8ff4599* reorg pt 1 * nav reorg pt 2 * update sidebar ad * resolve comments and combine app pages * playground and voice mode rewrite * fix link * add separate bundle pages * add new pages to sidebar * working on bundles * moving content to new bundle pages * move some sidebar items * fix build * nav labels * small edits * Working on helpers * core components work * wrapping up some more agent duplication * aligning file management * webhooks and file management * data components * address vector store and some legacy components * finish logic params * some work on processors * remove unneeded pages and tidy some llm info * progress on bundles pt 1 * bundles pt 2 * bundles pt 3 * finish looking at integrations * it is done * fix errors * coderabbit and typos * coderabbit pt 2 * resolving mcs pt 1 * separate agents and mcp * still working on some memory stuff * finish message history alignment * incorporate PR 9138 * missed a link * file management ui * align w ui pr * Apply suggestions from code review * memory edits after discussion
80 lines
No EOL
3.7 KiB
Text
80 lines
No EOL
3.7 KiB
Text
---
|
|
title: What is Langflow?
|
|
slug: /about-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), and it doesn't require you to use specific large language models (LLMs) or vector stores.
|
|
|
|
The visual editor simplifies prototyping of application workflows, enabling developers to quickly turn their ideas into powerful, real-world solutions.
|
|
|
|
:::tip Try it
|
|
Build and run your first flow in minutes: [Install Langflow](/get-started-installation), and then try the [Quickstart](/get-started-quickstart).
|
|
:::
|
|
|
|
## Application development and prototyping
|
|
|
|
Langflow can help you develop a wide variety of AI applications, such as [chatbots](/memory-chatbot), [document analysis systems](/document-qa), [content generators](/blog-writer), and [agentic applications](/simple-agent).
|
|
|
|
### Create flows in minutes
|
|
|
|
The primary purpose of Langflow is to create and serve flows, which are functional representations of application workflows.
|
|
|
|
To [build a flow](/concepts-flows), you connect and configure component nodes. Each component is a single step in the workflow.
|
|
|
|
With Langflow's [visual editor](/concepts-overview), you can drag and drop components to quickly build and test a functional AI application workflow.
|
|
For example, you could build a chatbot flow for an e-commerce store that uses an LLM and a product data store to allow customers to ask questions about the store's products.
|
|
|
|
|
|
|
|
### Test flows in real-time
|
|
|
|
You can use the [Playground](/concepts-playground) to test flows without having to build your entire application stack.
|
|
You can interact with your flows and get real-time feedback about flow logic and response generation.
|
|
|
|
You can also run individual components to test dependencies in isolation.
|
|
|
|
### Run and serve flows
|
|
|
|
You can use your flows as prototypes for more formal application development, or you can use the Langflow API to embed your flows into your application code.
|
|
|
|
For more extensive projects, you can build Langflow as a dependency or deploy a Langflow server to serve flows over the public internet.
|
|
|
|
For more information, see the following:
|
|
|
|
* [Trigger flows with the Langflow API](/concepts-publish)
|
|
* [Containerize a Langflow application](/develop-application)
|
|
|
|
## Endless modifications and integrations
|
|
|
|
Langflow provides [components](/concepts-components) that support many services, tools, and functionality that are required for AI applications.
|
|
|
|
Some components are generalized, such as inputs, outputs, and data stores.
|
|
Others are specialized, such as agents, language models, and embedding providers.
|
|
|
|
All components offer parameters that you can set to fixed or variable values. You can also use tweaks to temporarily override flow settings at runtime.
|
|
|
|
### Agent and MCP support
|
|
|
|
In addition to building agentic flows with Langflow, you can leverage Langflow's built-in agent and MCP features:
|
|
|
|
* [Use Langflow Agents](/agents)
|
|
* [Use components and flows as Agent tools](/agents-tools)
|
|
* [Use Langflow as an MCP server](/mcp-server)
|
|
* [Use Langflow as an MCP client](/mcp-client)
|
|
|
|
### Extensibility
|
|
|
|
In addition to the core components, Langflow supports custom components.
|
|
|
|
You can use custom components developed by others, and you can develop your own custom components for personal use or to share with other Langflow users.
|
|
|
|
For more information, see the following:
|
|
|
|
* [Contribute to Langflow](/contributing-how-to-contribute)
|
|
* [Create custom Python components](/components-custom-components)
|
|
|
|
## Next steps
|
|
|
|
* [Install Langflow](/get-started-installation)
|
|
* [Quickstart](/get-started-quickstart) |