What is Langflow used for?

Langflow is a visual platform for building and deploying AI agents and workflows, with Python-customizable components and built-in API and MCP server support. It is a good fit for prototyping retrieval-augmented generation apps, building multi-agent workflows visually and turning flows into tools for MCP clients.

Is Langflow open source?

Yes. Langflow is open source under the MIT licence. Its source code is on GitHub at langflow-ai/langflow and is written mainly in Python.

Yes. Langflow is open source, so the software itself is free to use.

Can I self-host Langflow?

Yes. Langflow can be self-hosted on your own server or infrastructure.

What is Langflow an alternative to?

Langflow is an open-source alternative to Gumloop, Voiceflow, Vellum and Azure AI Foundry. Other open-source alternatives to Gumloop include Dify and Sim.

Is Langflow actively maintained?

Yes. The most recent commit to Langflow was on 2 October 2026, and the latest release is v1.12.4, published on 29 September 2026. The project has 155k stars on GitHub.

Langflow: open-source alternative to Gumloop, Voiceflow

About Langflow

Langflow is an open-source platform for building AI-powered agents and workflows. Developers assemble flows in a visual authoring interface and can then deploy each flow as an API or export it as JSON for use in Python applications. It is written in Python and released under the MIT license.

The visual builder is paired with source-code access, so any component can be customized in Python, and an interactive playground lets you test and refine flows step by step. Langflow can orchestrate several agents with conversation handling and retrieval, works with the major LLMs and vector databases, and can expose flows as an MCP server so they become tools for MCP clients. Observability integrations include LangSmith and LangFuse.

You can install the Python package locally with uv, after which it serves the app at a local address, or use Langflow Desktop for Windows and macOS, which bundles its dependencies. It suits developers and AI teams prototyping retrieval and agent workflows who want both a drag-and-drop canvas and the freedom to write code.

Key features

Visual builder for agents and workflows
Python source access to customize components
Interactive playground for testing flows
Multi-agent orchestration with retrieval
Deploy flows as APIs or export as JSON
MCP server mode exposing flows as tools
Observability integrations such as LangFuse

Good fit for

→Prototyping retrieval-augmented generation apps
→Building multi-agent workflows visually
→Turning flows into tools for MCP clients

Built with: Python
Tags: ai-agents; llm; workflow-builder; low-code; mcp; python; rag; visual-builder

Langflow: questions and answers

What is Langflow used for?: Langflow is a visual platform for building and deploying AI agents and workflows, with Python-customizable components and built-in API and MCP server support. It is a good fit for prototyping retrieval-augmented generation apps, building multi-agent workflows visually and turning flows into tools for MCP clients.
Is Langflow open source?: Yes. Langflow is open source under the MIT licence. Its source code is on GitHub at langflow-ai/langflow and is written mainly in Python.
Is Langflow free?: Yes. Langflow is open source, so the software itself is free to use.
Can I self-host Langflow?: Yes. Langflow can be self-hosted on your own server or infrastructure.
What is Langflow an alternative to?: Langflow is an open-source alternative to Gumloop, Voiceflow, Vellum and Azure AI Foundry. Other open-source alternatives to Gumloop include Dify and Sim.
Is Langflow actively maintained?: Yes. The most recent commit to Langflow was on 2 October 2026, and the latest release is v1.12.4, published on 29 September 2026. The project has 155k stars on GitHub.