MCPHub LabRegistrylangflow-ai/langflow
langflow-ai

langflow ai/langflow

Built by langflow-ai 146,433 stars

What is langflow ai/langflow?

Langflow, yapay zeka destekli otomatik süreçler ve akıllı asistanlar oluşturmak için görsel bir platform. Kod yazmadan sürükle-bırak yöntemiyle karmaşık yapay zeka uygulamaları geliştirebilirsiniz.

How to use langflow ai/langflow?

1. Langflow'u bilgisayarınıza kurun 2. Web tarayıcısından arayüze erişin 3. Görsel editör ile iş akışınızı tasarlayın 4. Yapay zeka modellerini ve araçları bağlayın 5. Test edin ve yayınlayın
🛡️ Scoped (Restricted)
npx @modelcontextprotocol/langflow-ai-langflow --scope restricted
🔓 Unrestricted Access
npx @modelcontextprotocol/langflow-ai-langflow

Key Features

Görsel sürükle-bırak editör
Hazır yapay zeka modeli desteği
Çok-asistan yönetimi
Canlı test ortamı
Web servisi olarak yayınlama
Python kodu ile özelleştirme

Optimized Use Cases

Müşteri hizmetleri chatbotları
Belge analizi sistemleri
İçerik üretim otomasyonu
Veri işleme pipeline'ları
Akıllı bilgi asistanları
Çok dilli çeviri servisleri

langflow ai/langflow FAQ

Q

Kod bilgim yok, kullanabilir miyim?

Evet! Görsel editör sayesinde kod yazmadan yapay zeka uygulamaları oluşturabilirsiniz.

Q

Hangi yapay zeka modellerini destekler?

OpenAI GPT, Claude, yerel modeller ve tüm popüler yapay zeka servislerini destekler.

Official Documentation

View on GitHub
<!-- markdownlint-disable MD030 --> <picture> <source media="(prefers-color-scheme: dark)" srcset="./docs/static/img/langflow-logo-color-blue-bg.svg"> <img src="./docs/static/img/langflow-logo-color-black-solid.svg" alt="Langflow logo"> </picture>

Release Notes PyPI - License PyPI - Downloads Twitter YouTube Channel Discord Server Ask DeepWiki

Langflow is a powerful platform for building and deploying AI-powered agents and workflows. It provides developers with both a visual authoring experience and built-in API and MCP servers that turn every workflow into a tool that can be integrated into applications built on any framework or stack. Langflow comes with batteries included and supports all major LLMs, vector databases and a growing library of AI tools.

✨ Highlight features

  • Visual builder interface to quickly get started and iterate.
  • Source code access lets you customize any component using Python.
  • Interactive playground to immediately test and refine your flows with step-by-step control.
  • Multi-agent orchestration with conversation management and retrieval.
  • Deploy as an API or export as JSON for Python apps.
  • Deploy as an MCP server and turn your flows into tools for MCP clients.
  • Observability with LangSmith, LangFuse and other integrations.
  • Enterprise-ready security and scalability.

🖥️ Langflow Desktop

Langflow Desktop is the easiest way to get started with Langflow. All dependencies are included, so you don't need to manage Python environments or install packages manually. Available for Windows and macOS.

📥 Download Langflow Desktop

⚡️ Quickstart

Install locally (recommended)

Requires Python 3.10–3.13 and uv (recommended package manager).

Install

From a fresh directory, run:

uv pip install langflow -U

The latest Langflow package is installed. For more information, see Install and run the Langflow OSS Python package.

Run

To start Langflow, run:

uv run langflow run

Langflow starts at http://127.0.0.1:7860.

That's it! You're ready to build with Langflow! 🎉

📦 Other install options

Run from source

If you've cloned this repository and want to contribute, run this command from the repository root:

make run_cli

For more information, see DEVELOPMENT.md.

Docker

Start a Langflow container with default settings:

docker run -p 7860:7860 langflowai/langflow:latest

Langflow is available at http://localhost:7860/. For configuration options, see the Docker deployment guide.

[!CAUTION]

  • Users must update to Langflow >= 1.7.1 to protect against CVE-2025-68477 and CVE-2025-68478.
  • Langflow version 1.7.0 has a critical bug where persisted state (flows, projects, and global variables) cannot be found when upgrading. Version 1.7.0 was yanked and replaced with version 1.7.1, which includes a fix for this bug. DO NOT upgrade to version 1.7.0. Instead, upgrade directly to version 1.7.1.
  • Langflow versions 1.6.0 through 1.6.3 have a critical bug where .env files are not read, potentially causing security vulnerabilities. DO NOT upgrade to these versions if you use .env files for configuration. Instead, upgrade to 1.6.4, which includes a fix for this bug.
  • Windows users of Langflow Desktop should not use the in-app update feature to upgrade to Langflow version 1.6.0. For upgrade instructions, see Windows Desktop update issue.
  • Users must update to Langflow >= 1.3 to protect against CVE-2025-3248
  • Users must update to Langflow >= 1.5.1 to protect against CVE-2025-57760

For security information, see our Security Policy and Security Advisories.

🚀 Deployment

Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to deploy Langflow, see our Langflow deployment guides.

⭐ Stay up-to-date

Star Langflow on GitHub to be instantly notified of new releases.

Star Langflow

👋 Contribute

We welcome contributions from developers of all levels. If you'd like to contribute, please check our contributing guidelines and help make Langflow more accessible.


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❤️ Contributors

langflow contributors

Global Ranking

8.5
Trust ScoreMCPHub Index

Based on codebase health & activity.

Manual Config

{ "mcpServers": { "langflow-ai-langflow": { "command": "npx", "args": ["langflow-ai-langflow"] } } }