What Langflow is
Langflow is a platform for building and deploying AI-powered agents and workflows. It combines a visual builder, Python components, a playground, multi-agent orchestration, API deployment, and MCP server mode so workflows can become tools for other apps.
It sits between a low-code AI builder and a developer framework. The visual graph speeds prototyping, while source-code access lets developers write Python when drag-and-drop is not enough.
What is inside and how it is used
Local start
This example shows the project shape and the usual way it is used.
uv pip install langflow -U
uv run langflow run
# opens on http://127.0.0.1:7860Langflow is useful for RAG prototypes, agent chains, multi-agent flows, and internal AI tools. A developer can test an idea in the playground, then expose the workflow as an API or MCP tool.
Strengths and limits
The limits are common to visual AI builders: the graph becomes product logic that needs versioning, tests, and observability. Results also depend on models, data, retrievers, and permissions.