Langflow — Agents-OSS

概要

エージェントを視覚的に下書きし、パイプラインの実際の動きを非エンジニアに見せ、そのままAPIとして書き出す用途に向いています。分岐が増えるとビジュアルエディタは扱いにくくなるため、複雑なロジックの最終的な置き場ではなく、設計とデモの場として使うのが現実的です。

Langflowで何ができますか？

ブラウザ上でのフロー構築 — uv pip install langflow -Uで導入しuv run langflow runを実行すると127.0.0.1:7860でビジュアルエディタが起動し、docker run -p 7860:7860 langflowai/langflow:latestでも同じ環境をコンテナで動かせます。
段階実行による検証 — playgroundではフローを一手ずつ実行できるため、どのノードで想定と異なる出力になっているかを特定できます。
APIまたはMCPサーバーとしての公開 — 完成したフローはAPIとしてデプロイでき、JSONに書き出してPythonアプリへ組み込むことも、MCPサーバーとして公開しMCPクライアントからツールとして呼び出すこともできます。
コンポーネントのPython改変 — 各コンポーネントのソースコードに直接アクセスできるため、既存ノードの挙動を別ノードで回避せずPythonで書き換えられます。
実行トレースの外部連携 — LangSmithやLangFuseなどとの連携が組み込まれており、実行トレースを既存の監視基盤へそのまま送れます。

ドキュメント

langflow-ai/langflow のREADMEより転載（MIT）。原文を読む ↗

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 3.10–3.14 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.

🛡️ Security

For security information, see our Security Policy.

🚀 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.