Langflow
ActiveDescription
Langflow is a visual AI agent and workflow builder platform with drag-and-drop design, multi-LLM integration, and tool composition to simplify agent development.
Key Features
- Visual drag-and-drop builder - Graphical interface to build AI agents and workflows by dragging components
- Multi-agent orchestration - Complex flow design with multi-agent collaboration, conversation management, and retrieval
- API and MCP server deployment - Deploy any workflow as a REST API or MCP tool server with one click
- Fully customizable source code - All components support Python source-level customization without limits
- Major LLM and vector DB integration - Supports all major LLMs and vector databases out of the box
- Observability integration - Built-in LangSmith, LangFuse, and other monitoring for debugging and performance tracking
Use Cases
💡 Rapidly prototype AI applications by dragging and combining LLM, vector DB, and tool nodes to validate ideas
💡 Build RAG workflows connecting enterprise document stores to LLMs for intelligent Q&A systems
💡 Deploy finished agent workflows as APIs for frontend apps or third-party system integration
💡 Expose Langflow workflows as MCP tools for direct invocation by MCP clients like Claude
Strengths & Limitations
✅ Strengths
- • Actively maintained, recent updates
- • High community interest (154.1k stars)
- • Permissive open-source license (MIT)
- • Established track record (3 years in production)
Categories
Quick Start
# Install with uv (recommended, requires Python 3.10-3.13)
uv pip install langflow -U
# Start Langflow
uv run langflow run
# Or use Docker
docker run -p 7860:7860 langflowai/langflow:latest
# Open http://127.0.0.1:7860 in your browser to start building