LangFlow is an open-source visual builder for LangChain workflows, enabling rapid development of LLM applications through a drag-and-drop interface. With over 145,000 GitHub stars, it’s one of the most popular tools for visual LLM development. LangFlow provides an interactive playground for testing flows and supports API deployment for production use.
License: MIT
GitHub: langflow-ai/langflow
- 🎨 Visual Builder Interface - Quickly get started and iterate on AI workflows with drag-and-drop components
- 💻 Source Code Access - Customize any component using Python
- 🧪 Interactive Playground - Test and refine flows with step-by-step control
- 🤖 Multi-Agent Orchestration - Conversation management and retrieval capabilities
- 🔌 API Deployment - Deploy as an API or export as JSON for Python apps
- 🔧 MCP Server Deployment - Turn flows into tools for MCP clients
- 📊 Observability Integrations - Support for LangSmith, LangFuse, and others
- Multi-Agent Systems - Orchestrate multiple AI agents with conversation management
- LLM Application Development - Build applications with all major LLM providers
- Generative AI Workflows - Create and manage generative AI pipelines
- Chatbot Development - Build ChatGPT-like applications
- RAG (Retrieval-Augmented Generation) - Vector database integration for retrieval
- AI Tool Integration - Access growing library of AI tools and components
| Component |
Technology |
| Backend |
Python 3.10-3.13 |
| Frontend |
TypeScript, React |
| Framework |
LangChain |
| Deployment |
Docker, Desktop App |
Language Breakdown:
- Python: 55.6%
- TypeScript: 25.2%
- JavaScript: 18.3%
| Component |
Minimum |
Recommended |
| CPU |
2 cores |
4+ cores |
| RAM |
4 GB |
8+ GB |
| Disk |
10 GB |
20+ GB |
| Python |
3.10 |
3.11+ |
- ✅ Open-source and self-hosted
- ✅ MIT License - fully permissive
- ✅ Active development (v1.7.3 - Jan 2026)
- ✅ 145k+ GitHub stars, 8.5k forks
- ✅ 339 contributors
- ⚠️ Avoid versions 1.7.0, 1.6.0-1.6.3, <1.3 due to known bugs
¶ History and References
Any questions?
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