Langflow — AI Agent Framework: Live Stats & TrendScore

Langflow gives LangChain a visual interface. We track how its GitHub momentum compares to Dify, what’s shipping in recent releases, and what developers say in community forums.

GitHub data synced: May 6, 2026 • Sentiment updated: Apr 18, 2026

GitHub Statistics

Community Sentiment

Community Buzz: The gap between a bug announcement and exploitation is now less than a day, as seen with LangFlow, where attackers reverse-engineered an exploit in just 20 hours, according to a post on X/Twitter by a user discussing LangFlow's vulnerability. Additionally, Reddit users discuss Langflow's AI workflow capabilities, such as one user stating 'I'm a solo dev. I built a fully local, open-source alternative to LangFlow/n8n for AI workflows with drag & drop, debugging, replay, cost tracking, and zero ..

Pros & Cons

What People Love

AI workflow ease, Customizability, Reddit users praise the drag & drop functionality, Dev.to users appreciate the ease of building AI workflows with Langflow

Common Complaints

Vulnerability concerns, Exploitation risks

Biggest Positive: AI workflow ease

Biggest Negative: Vulnerability concerns

Why Langflow Stands Out

Langflow stands out from alternatives due to its unique combination of visual authoring, source code access, and built-in API and MCP servers. Its interactive playground and observability features, such as LangSmith and LangFuse integrations, provide unparalleled control and insight into workflow execution. By supporting all major LLMs and vector databases, Langflow enables developers to leverage the latest advancements in AI research. Furthermore, its enterprise-ready security and scalability features make it an attractive choice for large-scale deployments.

Built With

Build a conversational AI chatbot — Langflow's visual builder interface and multi-agent orchestration enable easy integration of large language models, Build a workflow automation tool — Langflow's built-in API and MCP servers allow for seamless integration with other applications, Build a research agent that reads and summarizes documents — Langflow's interactive playground and step-by-step control facilitate testing and refinement, Build a customer service chatbot — Langflow's conversation management and retrieval features enable personalized interactions, Build a language translation platform — Langflow's support for major LLMs and vector databases enables accurate and efficient translations

Getting Started

  1. Install Langflow using the command `uv pip install langflow -U`
  2. Run Langflow using the command `uv run langflow run`
  3. Access Langflow at http://127.0.0.1:7860
  4. Configure Langflow using the `.env` file or command-line options
  5. Try building a simple workflow using the visual builder interface to verify it works

About

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

Official site: http://www.langflow.org

Category & Tags

Category: multi-agent

Tags: agents, chatgpt, generative-ai, large-language-models, multiagent, react-flow

Market Context

Competing with n8n for AI workflow dominance