Langflow

Langflow gives agents and AI workflows a visual authoring surface and then publishes what you build. Each flow becomes an API endpoint or an MCP server, so the thing you sketched in a browser is immediately callable from an application on any framework or stack.

Components are Python underneath and the source is open at every node, which means a built-in block can be adapted instead of worked around. An interactive playground runs a flow with step-by-step control while you refine it.

The pieces that matter once a flow leaves the canvas.

• Deploy as an API: flows are called from applications, or exported as JSON for Python apps.
• MCP server: a flow becomes a tool that any MCP client can call.
• Multi-agent orchestration: conversation management and retrieval across several agents in one flow.
• Observability: LangSmith, LangFuse and other integrations connect for tracing.
• Batteries included: major model providers, vector databases and a growing library of AI tools ship with it.

Installing locally needs Python 3.10 to 3.14 and the uv package manager, and the server comes up on port 7860, with a Docker image and a source build documented as well. Langflow Desktop bundles every dependency for Windows and macOS, which is the shortest path for anyone who would rather not manage Python environments. Deployment guides cover the major clouds.