A Python package with a built-in web application
Project description
[!CAUTION]
- 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.
Langflow 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 and uv.
- To install Langflow, run:
uv pip install langflow -U
- To run Langflow, run:
uv run langflow run
- 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.
📦 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.
⭐ 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 and help make Langflow more accessible.
❤️ Contributors
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dzbanek_langflow-1.6.4-py3-none-any.whl.
File metadata
- Download URL: dzbanek_langflow-1.6.4-py3-none-any.whl
- Upload date:
- Size: 6.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4060b1e0a9368f30407fd23d102cbf8aac363f1f6840bf5380aaf009a21ab24a
|
|
| MD5 |
1659a3744f2b3bc6316cea6115abacf4
|
|
| BLAKE2b-256 |
e421d6f79ca13480f384718207a929cfdf1be55c9d7a686a0d5228b4f8bc4f41
|
Provenance
The following attestation bundles were made for dzbanek_langflow-1.6.4-py3-none-any.whl:
Publisher:
publish-package.yml on dzbanek717/langflow
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
dzbanek_langflow-1.6.4-py3-none-any.whl -
Subject digest:
4060b1e0a9368f30407fd23d102cbf8aac363f1f6840bf5380aaf009a21ab24a - Sigstore transparency entry: 560563858
- Sigstore integration time:
-
Permalink:
dzbanek717/langflow@1c2563ae7de45dd767d53210f4acdfe22a13dc7a -
Branch / Tag:
refs/tags/v0.0.18 - Owner: https://github.com/dzbanek717
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish-package.yml@1c2563ae7de45dd767d53210f4acdfe22a13dc7a -
Trigger Event:
release
-
Statement type:
