Introduction
Langflow is a visual tool for building, testing and deploying AI agents and workflows. It offers a canvas-based editor, an interactive playground, and export options to run flows as APIs or MCP servers. Langflow simplifies composing multi-step agent pipelines and integrates with many LLMs, vector stores and toolsets.
Key features
- Visual canvas for composing flows and connectors.
- Multi-model and vector DB integrations for RAG-style pipelines.
- Export to deployable APIs and MCP servers.
- Interactive debugging and playground for rapid iteration.
Use cases
- Rapid prototyping of agent workflows and assistants.
- RAG-driven knowledge assistants combining retrieval and generation.
- Automation pipelines exposing agent flows as services.
Technical characteristics
- Python-based backend with a modern frontend and plugin architecture.
- Docker and desktop deployment options with example templates and CI.
- Active community and extensive documentation and examples.