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Langflow
Langflow is an open-source, low-code visual builder for creating AI agents, RAG applications, and MCP servers
Updated Jun 2026· 70/100
Free plan API Self-hosted
About Langflow
Langflow is an open-source, low-code visual builder for creating AI agents, RAG applications, and MCP servers. It supports all major LLMs and vector databases with a Python-based component system built on LangChain. The core software is free and open-source, though users pay for hosting infrastructure and API usage.
Langflow is a low-code platform for building and deploying AI agents, RAG applications, and MCP servers through a visual interface. Built on LangChain with Python-based components, it provides drag-and-drop workflow creation while maintaining extensive code control for developers. The tool supports all major LLMs and vector databases, making it particularly suited for rapid prototyping and MVP development. With over 149,000 GitHub stars and an active community of 25,000+ Discord members, Langflow is recognized for its intuitive visual builder and ease of creating custom, reusable components compared to alternatives like Flowise and n8n.
Pros & cons
Pros
- Highly intuitive visual interface for building multi-step AI agents, rated more user-friendly than AutoGen and PromptChainer by reviewers
- Python-based component system makes it much simpler to create and share custom components across projects compared to alternatives
- Strong community support with 149k GitHub stars, 25k Discord members, and active development (version 1.9 recently released)
- Extensive code control capabilities among low-code platforms, allowing developers to customize beyond visual constraints
- Excellent for rapid prototyping and MVPs with easy integration into existing workflows and ETL pipelines
Cons
- Lacks advanced scheduling, retries, and observability features needed for production deployments compared to tools like Airflow or n8n
- Limited workflow breadth for non-AI automations across CRM, email, or chat apps compared to general automation platforms
- Production readiness concerns raised by users, with questions about scalability and enterprise deployment capabilities
Key features
Api
Self Hosted
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Langflow
Replit AI
CrewAI
Pricing
Freemium
Freemium
Freemium
Free plan
Yes
Yes
Yes
Free trial
No
No
No
API
Yes
—
Yes
Self-hosted
Yes
No
Yes
Team support
—
Yes
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Frequently asked questions
Is Langflow free?+
Yes, Langflow is free and open-source software. However, you'll incur costs for hosting infrastructure (typically $5-500+/month depending on scale), LLM API usage ($10-1,000+/month based on volume), and optionally vector databases like Pinecone (starting around $50/month for production). Langflow Cloud offers a free tier with limited resources for testing.
What does Langflow integrate with?+
Langflow supports all major LLMs and vector databases according to its homepage. It's built on LangChain and can be called from any frontend, backend-for-frontend (BFF), or existing ETL pipeline. Users report integrating it with n8n for broader workflow automation. Specific integration details for individual services were not comprehensively documented in available research.
How does Langflow compare to alternatives?+
Compared to Flowise, Langflow is considered more intuitive for AI-specific workflows, though Flowise offers a greater range of components out of the box. Against n8n and Make, Langflow excels at AI agent prototyping but lacks their advanced scheduling and broader business automation capabilities. Users often combine Langflow for AI workflows with n8n for general automation. It's simpler for creating custom Python components than most alternatives.
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