🧠
Model

langflow

by Langflow Ai gh-model--langflow-ai--langflow
Nexus Index
49.7 Top 100%
S: Semantic 50
A: Authority 0
P: Popularity 82
R: Recency 100
Q: Quality 50
Tech Context
Vital Performance
0 DL / 30D
0.0%
Audited 49.7 FNI Score
Tiny - Params
- Context
0 Downloads
Commercial MIT License
Model Information Summary
Entity Passport
Registry ID gh-model--langflow-ai--langflow
License MIT
Provider github
📜

Cite this model

Academic & Research Attribution

BibTeX
@misc{gh_model__langflow_ai__langflow,
  author = {Langflow Ai},
  title = {langflow Model},
  year = {2026},
  howpublished = {\url{https://github.com/langflow-ai/langflow}},
  note = {Accessed via Free2AITools Knowledge Fortress}
}
APA Style
Langflow Ai. (2026). langflow [Model]. Free2AITools. https://github.com/langflow-ai/langflow

đŸ”ŦTechnical Deep Dive

Full Specifications [+]

Quick Commands

🐙 Git Clone
git clone https://github.com/langflow-ai/langflow

âš–ī¸ Nexus Index V2.0

49.7
TOP 100% SYSTEM IMPACT
Semantic (S) 50
Authority (A) 0
Popularity (P) 82
Recency (R) 100
Quality (Q) 50

đŸ’Ŧ Index Insight

FNI V2.0 for langflow: Semantic (S:50), Authority (A:0), Popularity (P:82), Recency (R:100), Quality (Q:50).

Free2AITools Nexus Index

Verification Authority

Unbiased Data Node Refresh: VFS Live
---

🚀 What's Next?

Technical Deep Dive

Langflow logo

Release Notes PyPI - License PyPI - Downloads Twitter YouTube Channel Discord Server Ask DeepWiki

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.

đŸ–Ĩī¸ 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.

đŸ“Ĩ Download Langflow Desktop

âšĄī¸ Quickstart

Requires Python 3.10–3.13 and uv (recommended package manager).

Install

From a fresh directory, run:

shell
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:

shell
uv run langflow run

Langflow starts at http://127.0.0.1:7860.

That's it! You're ready to build with Langflow! 🎉

đŸ“Ļ Other install options

Run from source

If you've cloned this repository and want to contribute, run this command from the repository root:

shell
make run_cli

For more information, see DEVELOPMENT.md.

Docker

Start a Langflow container with default settings:

shell
docker run -p 7860:7860 langflowai/langflow:latest

Langflow is available at http://localhost:7860/. For configuration options, see the Docker deployment guide.

đŸ›Ąī¸ 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.


Star History Chart

â¤ī¸ Contributors

langflow contributors

🚀 Quick Start

bash
docker run -p 7860:7860 langflowai/langflow:latest

âš ī¸ Incomplete Data

Some information about this model is not available. Use with Caution - Verify details from the original source before relying on this data.

View Original Source →

📝 Limitations & Considerations

  • â€ĸ Benchmark scores may vary based on evaluation methodology and hardware configuration.
  • â€ĸ VRAM requirements are estimates; actual usage depends on quantization and batch size.
  • â€ĸ FNI scores are relative rankings and may change as new models are added.
  • ⚠ License Unknown: Verify licensing terms before commercial use.

Social Proof

GitHub Repository
146.5KStars
🔄 Daily sync (03:00 UTC)

AI Summary: Based on GitHub metadata. Not a recommendation.

📊 FNI Methodology 📚 Knowledge Baseâ„šī¸ Verify with original source

đŸ›Ąī¸ Model Transparency Report

Technical metadata sourced from upstream repositories.

Open Metadata

🆔 Identity & Source

id
gh-model--langflow-ai--langflow
slug
langflow-ai--langflow
source
github
author
Langflow Ai
license
MIT
tags
react-flow, chatgpt, large-language-models, generative-ai, agents, multiagent, python

âš™ī¸ Technical Specs

architecture
null
params billions
null
context length
null
pipeline tag
other

📊 Engagement & Metrics

downloads
0
stars
146,528
forks
0

Data indexed from public sources. Updated daily.