Langflow

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

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Package downloads, last 30 days: PyPI langflow 40.1K · counts from npm and pypistats, updated weekly · most-downloaded agent tools

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+9.2k (6.3%)
143.4k151.0k158.6kMar 27Oct 3

Overview

Langflow是一个强大的平台，用于构建和部署AI驱动的代理和工作流。它提供可视化界面让开发者通过拖拽方式快速创建AI工作流，同时支持Python源码级定制。该平台支持所有主流大语言模型和向量数据库，具备多代理编排、对话管理和检索功能。Langflow的独特之处在于其灵活的部署选项：可以导出为API服务、JSON格式用于Python应用，或部署为MCP服务器将工作流转化为可被MCP客户端调用的工具。平台还提供交互式测试环境、企业级安全性和可扩展性，以及与LangSmith、LangFuse等观测性工具的集成。无论是快速原型制作还是生产级部署，Langflow都能满足从简单自动化到复杂AI工作流的各种需求。

Deep Analysis

Key Differentiator

Best visual builder for LLM workflows with direct MCP server deployment — more production-ready than Flowise with API-first architecture

⚡ Capabilities

  • • Visual drag-and-drop builder for AI workflows
  • • Deploy workflows as REST API or MCP server
  • • Multi-agent orchestration with conversation management
  • • Interactive playground for real-time testing
  • • Source code customization of any component in Python
  • • Enterprise-ready with SSO and scalability

🔗 Integrations

OpenAIAnthropicGoogleLangSmithLangFuseAll major vector DBsMCP clients

✓ Best For

  • ✓ Rapid prototyping of AI agent workflows with visual builder
  • ✓ Non-developers building LLM applications without coding

✗ Not Ideal For

  • ✗ Performance-critical production systems
  • ✗ Teams preferring code-first development

Languages

Python

Deployment

pip installDockerDesktop app (Windows/macOS)All major clouds

Pricing Detail

Free: Open-source MIT, free self-hosted
Paid: DataStax-managed cloud (pricing on request)

⚠ Known Limitations

  • ⚠ Visual-first approach may limit complex custom logic
  • ⚠ Python backend only
  • ⚠ Security vulnerabilities historically (CVE-2025-3248, etc.)
  • ⚠ Desktop app limited to Windows and macOS

Pros

  • + 可视化拖拽界面让非技术用户也能快速构建AI工作流
  • + 支持多种部署方式包括API、MCP服务器和桌面应用，集成灵活性极高
  • + 内置对所有主流LLM和向量数据库的支持，生态系统完整

Cons

  • - 需要Python 3.10-3.13环境，对非Python用户有技术门槛
  • - 复杂的企业级功能可能对简单用例过于繁重
  • - 学习曲线较陡，充分利用所有功能需要时间投入

Use Cases

  • • 构建多代理协作系统处理复杂业务流程和决策
  • • 将AI工作流部署为API服务供其他应用程序调用
  • • 快速原型制作和可视化测试AI工作流的效果和逻辑

Getting Started

1. 安装Python 3.10-3.13和uv包管理器，运行`uv pip install langflow -U`安装Langflow；2. 启动Langflow服务器，在浏览器中打开可视化界面；3. 使用拖拽方式创建第一个AI工作流，连接LLM组件并在交互式playground中测试效果

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Works with Langflow

Tools that integrate with Langflow, often used together in the same stack.

L
Langfuse
Open-source LLM engineering platform for observability, evaluation, prompt and dataset management
l
langwatch
The platform for LLM evaluations and AI agent testing
h
harbor
One command brings a complete pre-wired LLM stack with hundreds of services to explore.
L
LangBot
Open-source platform for building AI-powered IM bots with LLMs, tool calling, and RAG knowledge bases

Compare Langflow

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