Langflow
by Langflow
Low-code platform for building AI agents and RAG workflows
Overview
Langflow is a visual tool for building and deploying AI agents and workflows. Provides drag-and-drop interface with Python customization and API generation.
Key Statistics
Overall Rating
4.4/5
GitHub Stars
44,100
Last Updated
2025-10
Version
1.6.4
Features
Visual workflow design
Visual workflow design capabilities
API generation
API generation capabilities
RAG applications
RAG applications capabilities
MCP support
MCP support capabilities
Getting Started
Installation
pip install langflow
Quick Start
Install and run Langflow server
Code Example
uv pip install langflow -U
Pros & Cons
Advantages
Very high GitHub stars (44k+) indicates strong adoption
Low-code visual interface lowers barrier to entry
Full Python customization maintains developer flexibility
All flows are JSON - easy to share and version control
Multiple deployment options (API MCP embedded)
Open source with MIT license
Active development and regular updates
Supports all major LLMs and vector databases
Limitations
Visual interface can be limiting for very complex logic
Requires Python knowledge for advanced customization
Team collaboration features are limited
Documentation still growing
Self-hosting requires infrastructure management
No built-in authentication for shared instances
Performance overhead from visual layer
Technical Details
Primary Language
Python
Supported Languages
License
MIT
Enterprise Ready
Yes
Community Size
Very Large
Pricing
Open Source
Free open source. Infrastructure costs for hosting
Performance Metrics
easeOfUse
5/5
scalability
4/5
documentation
4/5
community
5/5
performance
4/5
Common Use Cases
RAG applications for document Q&A
Chatbots and conversational interfaces
Multi-agent workflows
Rapid prototyping of AI applications
API-based AI services
Internal tools and automation
Knowledge base assistants