Product overview
What is Langflow?
Langflow is an open-source, low-code environment for designing AI agents, retrieval-augmented generation applications, and MCP servers. Its visual canvas represents models, prompts, tools, data sources, vector databases, and application logic as connected components, making the execution path easier to inspect and revise.
Developers can start from prebuilt templates and integrations, edit component settings, or extend behavior with Python. A flow can run a single agent, coordinate a fleet of agents, expose tools through MCP, or be served as an API for another product. The current site presents both self-hosted open-source use and a free cloud option.
How to Use Langflow
- Start from a template or create an empty flow.
- Add a model, prompts, tools, data connectors, and vector database components.
- Connect components to define state and execution order.
- Test the flow with sample inputs and inspect each stage.
- Add custom Python where built-in components do not cover the requirement.
- Publish the flow as an API or MCP server and monitor it in the target environment.
Core Features
- Visual flow builder: Creates agent and RAG logic on a connected canvas.
- Agent orchestration: Supports single-agent, multi-agent, and stateful flows.
- RAG components: Connects document processing, embeddings, retrieval, and vector stores.
- Model flexibility: Works with major language-model providers.
- Python customization: Lets developers implement custom components and logic.
- MCP support: Builds and serves tools through compatible MCP interfaces.
- API deployment: Turns a tested flow into a callable application endpoint.
- Open-source self-hosting: Can run in infrastructure controlled by the user.
Use Cases
- Prototype a document question-answering assistant.
- Build an agent that calls internal or third-party tools.
- Create an MCP server around reusable business capabilities.
- Coordinate several specialized agents in a visible workflow.
- Give development teams a shared visual artifact before production coding.
Pricing
Langflow is available as open-source software for self-hosting, and the official site also advertises a free cloud experience. Infrastructure, model, database, and external API charges remain separate and depend on the connected services. Enterprise or managed requirements should be confirmed with the provider.
Frequently Asked Questions
Is Langflow only for non-developers?
No. The visual builder lowers the setup burden, while Python components and APIs let developers extend and integrate the result.
Can a flow become an API?
Yes. Tested flows can be exposed for use by applications and services.
Can Langflow be self-hosted?
Yes. It is open source and supports running in user-controlled infrastructure.
