# FreeAICC-langflow

**Repository Path**: FreeIPCC/FreeAICC-langflow

## Basic Information

- **Project Name**: FreeAICC-langflow
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-07-11
- **Last Updated**: 2025-08-03

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<!-- markdownlint-disable MD030 -->

![Langflow logo](./docs/static/img/langflow-logo-color-black-solid.svg)


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> [!CAUTION]
> Users must update to Langflow >= 1.3 to protect against [CVE-2025-3248](https://nvd.nist.gov/vuln/detail/CVE-2025-3248).

[Langflow](https://langflow.org) is a powerful tool 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.

## ⚡️ Quickstart

Langflow requires [Python 3.10 to 3.13](https://www.python.org/downloads/release/python-3100/) and [uv](https://docs.astral.sh/uv/getting-started/installation/).

1. To install Langflow, run:

```shell
uv pip install langflow -U
```

2. To run Langflow, run:

```shell
uv run langflow run
```

3. Go to the default Langflow URL at `http://127.0.0.1:7860`.

For more information about installing Langflow, including Docker and Desktop options, see [Install Langflow](https://docs.langflow.org/get-started-installation).

## 📦 Deployment

Langflow is completely open source and you can deploy it to all major deployment clouds. To learn how to use Docker to deploy Langflow, see the [Docker deployment guide](https://docs.langflow.org/deployment-docker).

## ⭐ Stay up-to-date

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

![Star Langflow](https://github.com/user-attachments/assets/03168b17-a11d-4b2a-b0f7-c1cce69e5a2c)

## 👋 Contribute

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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## ❤️ Contributors

[![langflow contributors](https://contrib.rocks/image?repo=langflow-ai/langflow)](https://github.com/langflow-ai/langflow/graphs/contributors)