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: Jun 27, 2026 • Sentiment updated: Jun 26, 2026

GitHub Statistics

Community Sentiment

Community Buzz: According to a Dev.to post, 'Langflow contains a code injection vulnerability that could allow building public flows without requiring authentication.' Additionally, a HackerNews user mentioned 'integrating tools with AI agents in low code/no code orchestration engines looks like Langflow.',

Pros & Cons

What People Love

Langflow's ease of use, Langflow's potential for AI development, Dev.to users praise Langflow's winning of a hackathon

Common Complaints

security vulnerabilities, bugs in the Langflow database

Biggest Positive: Langflow wins hackathon

Biggest Negative: Langflow security 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

Langflow is positioned as a competitor in the low-code/no-code orchestration engine market, with users discussing its potential and security concerns.