Langflow: build AI agents visually, with Python under the hood

What you can build with Langflow

Langflow is written in Python, and its GitHub repository opened in 2023. On a canvas, you connect components: a language model, a prompt, a vector store, tools, an AI agent. Every component is Python code you can open and edit, which sets Langflow apart from purely no-code tools.

Concrete use cases:

• an assistant that answers from your documents using RAG, with the vector database of your choice;
• an agent that calls tools (web search, internal APIs, calculations) to complete a task;
• a multi-agent system where one agent uses others as tools.

Each flow can be served as an API, embedded in an application, or exposed as an MCP server so a compatible assistant can use it. Langflow can also consume external MCP servers. It is not tied to any model provider.

Ownership and hosting

DataStax announced its acquisition of Langflow in April 2024, and IBM announced its acquisition of DataStax in February 2025. The code stays under MIT. DataStax’s hosted offering, however, was retired from its Astra platform on April 9, 2026: as of October 22, 2026, you should plan on self-hosting.

The software itself costs nothing; you pay for your server and for model calls. The agent cost calculator helps you estimate the latter.

Who it fits, strengths and limits

• Freelancer: Langflow Desktop lets you try it without a server, but the tool remains technical.
• Small business: worthwhile if someone on the team can deploy and maintain a Python service.
• Technical team: the best fit, using the canvas to prototype and the code to fine-tune.

Strengths: a very permissive license, full visibility into each component’s code, complete MCP support. Limits: fewer ready-made business connectors than an automation tool, and going to production requires hosting skills.

Alternatives

Dify takes a similar approach and offers a paid cloud version. n8n is better for automating exchanges between apps. Flowise, another visual canvas, reached end of life in 2026: see the Flowise page if you are migrating from it. To code your agents end to end, LangGraph gives you more control.