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105 lines
4.6 KiB
Markdown
105 lines
4.6 KiB
Markdown
<!-- markdownlint-disable MD030 -->
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<picture>
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<source media="(prefers-color-scheme: dark)" srcset="./docs/static/img/langflow-logo-color-blue-bg.svg">
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<img src="./docs/static/img/langflow-logo-color-black-solid.svg" alt="Langflow logo">
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</picture>
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[](https://github.com/langflow-ai/langflow/releases)
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[](https://opensource.org/licenses/MIT)
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[](https://pypistats.org/packages/langflow)
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[](https://twitter.com/langflow_ai)
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[](https://www.youtube.com/@Langflow)
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[](https://discord.gg/EqksyE2EX9)
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[](https://deepwiki.com/langflow-ai/langflow)
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[Langflow](https://langflow.org) 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.
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## ✨ Highlight features
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- **Visual builder interface** to quickly get started and iterate.
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- **Source code access** lets you customize any component using Python.
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- **Interactive playground** to immediately test and refine your flows with step-by-step control.
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- **Multi-agent orchestration** with conversation management and retrieval.
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- **Deploy as an API** or export as JSON for Python apps.
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- **Deploy as an MCP server** and turn your flows into tools for MCP clients.
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- **Observability** with LangSmith, LangFuse and other integrations.
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- **Enterprise-ready** security and scalability.
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## 🖥️ Langflow Desktop
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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.
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Available for Windows and macOS.
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[📥 Download Langflow Desktop](https://www.langflow.org/desktop)
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## ⚡️ Quickstart
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### Install locally (recommended)
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Requires Python 3.10–3.14 and [uv](https://docs.astral.sh/uv/getting-started/installation/) (recommended package manager).
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#### Install
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From a fresh directory, run:
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```shell
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uv pip install langflow -U
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```
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The latest Langflow package is installed.
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For more information, see [Install and run the Langflow OSS Python package](https://docs.langflow.org/get-started-installation#install-and-run-the-langflow-oss-python-package).
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#### Run
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To start Langflow, run:
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```shell
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uv run langflow run
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```
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Langflow starts at http://127.0.0.1:7860.
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That's it! You're ready to build with Langflow! 🎉
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## 📦 Other install options
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### Run from source
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If you've cloned this repository and want to contribute, run this command from the repository root:
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```shell
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make run_cli
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```
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For more information, see [DEVELOPMENT.md](./DEVELOPMENT.md).
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### Docker
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Start a Langflow container with default settings:
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```shell
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docker run -p 7860:7860 langflowai/langflow:latest
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```
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Langflow is available at http://localhost:7860/.
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For configuration options, see the [Docker deployment guide](https://docs.langflow.org/deployment-docker).
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## 🛡️ Security
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For security information, see our [Security Policy](./SECURITY.md).
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## 🚀 Deployment
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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](https://docs.langflow.org/deployment-overview).
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## ⭐ Stay up-to-date
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Star Langflow on GitHub to be instantly notified of new releases.
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## 👋 Contribute
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We welcome contributions from developers of all levels. If you'd like to contribute, please check our [contributing guidelines](./CONTRIBUTING.md) and help make Langflow more accessible.
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---
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[](https://star-history.com/#langflow-ai/langflow&Date)
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## ❤️ Contributors
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[](https://github.com/langflow-ai/langflow/graphs/contributors)
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