The visual framework for building multi-agent AI applications. Drag-and-drop LLM workflows with Python power.
Langflow gives you a visual canvas to wire up LLM chains, agents, and tools — powered by LangChain components under the hood. Drag nodes, connect edges, hit run. When the visual editor isn't enough, drop into Python code nodes for full control. It's the best of both worlds: visual for speed, code for power.
Who it's for: Python developers building LLM applications who want a visual layer over LangChain. Ideal for rapid prototyping, demos, and teams where non-engineers need to tweak AI workflows.
Every LangChain component (LLMs, chains, agents, tools, memory) is a draggable node. Connect them visually to build complex AI pipelines without writing boilerplate.
When visual nodes aren't enough, add Python code blocks anywhere in your flow. Full access to the Python ecosystem — pandas, requests, custom functions.
Create autonomous agents with tool use, memory, and multi-step reasoning. Pre-built agent templates for common patterns like research, coding, and Q&A.
Every flow automatically becomes a REST API endpoint. Export as Python code, deploy to any cloud, or integrate with existing backends.
If you're building LLM apps with Python and want a visual layer, Langflow is the best option in 2026. The LangChain integration is seamless, the visual editor speeds up iteration, and the open-source license means you'll never get locked out.