| Name | langflow JSON |
| Version |
1.5.0
JSON |
| download |
| home_page | None |
| Summary | A Python package with a built-in web application |
| upload_time | 2025-07-08 12:32:22 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | <3.14,>=3.10 |
| license | None |
| keywords |
gpt
gui
langchain
nlp
openai
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<!-- markdownlint-disable MD030 -->
[](https://github.com/langflow-ai/langflow/releases)
[](https://opensource.org/licenses/MIT)
[](https://pypistats.org/packages/langflow)
[](https://star-history.com/#langflow-ai/langflow)
[](https://github.com/langflow-ai/langflow/issues)
[](https://twitter.com/langflow_ai)
[](https://www.youtube.com/@Langflow)
[](https://discord.gg/EqksyE2EX9)
> [!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.
## 👋 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.
---
[](https://star-history.com/#langflow-ai/langflow&Date)
## ❤️ Contributors
[](https://github.com/langflow-ai/langflow/graphs/contributors)
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