# Langflow

> A powerful visual tool to build and deploy AI agents and MCP servers with support for all major LLMs, vector databases, and AI tools.

Langflow is a powerful visual development platform for building and deploying AI agents and MCP servers. It provides a low-code interface that enables developers to create sophisticated AI workflows without fighting complex tooling. The platform comes with batteries included, supporting all major LLMs, vector databases, and a growing library of AI tools, making it easy to go from notebook to production.

- **Visual Flow Builder** allows developers to create AI workflows through an intuitive drag-and-drop interface, connecting components like models, data sources, and vector stores without extensive coding.

- **MCP Server Support** enables building and deploying Model Context Protocol servers, expanding the capabilities of AI agents with standardized tool integrations.

- **Extensive Integrations** provides connections to hundreds of data sources, models, and vector stores out of the box, with the ability to build custom components when needed.

- **Flow as an API** transforms visual workflows into deployable APIs, making it simple to expose AI capabilities to applications and services.

- **Enterprise-Grade Cloud** offers a free, secure cloud platform for deploying and scaling AI applications, with the same Langflow experience whether using OSS or Cloud.

- **Open Source Foundation** with over 138k GitHub stars and active community support, ensuring transparency and community-driven development.

- **Custom Component Development** allows extending functionality by building your own components when the existing library doesn't meet specific requirements.

To get started, install Langflow using `uv pip install langflow` and run it with `uv run langflow run`. You can also sign up for a free cloud account to deploy your flows without managing infrastructure. The platform is designed to help developers iterate quickly and deploy AI workflows that can be used by real users, bridging the gap between experimentation and production deployment.

## Features
- Visual flow builder for AI workflows
- MCP server building and deployment
- Support for all major LLMs
- Vector database integrations
- Flow as an API deployment
- Custom component development
- Enterprise-grade cloud platform
- Hundreds of data source connectors
- Open source with cloud option

## Integrations
OpenAI, Anthropic, LLaMA, Pinecone, Weaviate, Chroma, Various vector databases, Multiple data sources

## Platforms
WEB, API, LINUX, MACOS, WINDOWS

## Pricing
Open Source

## Version
1.7

## Links
- Website: https://www.langflow.org
- Documentation: https://docs.langflow.org
- Repository: https://github.com/langflow-ai/langflow
- EveryDev.ai: https://www.everydev.ai/tools/langflow