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langflow-ai
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langflow-ai/langflow

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

Python ◇ agents MIT
★155.3KSTARS
⑂10.1KFORKS
!1,189ISSUES
🏆#35GLOBAL RANK
🔥6DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for langflow-ai/langflow
CSV

Momentum

+3.9K

STARS · LAST 30 DAYS

129

PER DAY

#10

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+903+3.9K+11.6K
Per day129129129
Forks gained+51+203+507

langflow gained 3.9K stars in the last 30 days, about 129 a day, and now has 155.3K. It is about 4 years old and has averaged roughly 38.8K stars a year. It ranks #10 among Python repositories and #35 across all languages on GitHubRepo.

Trending Record

langflow has maintained a continuous presence across global trending indexes, peaking at #36. Below is the 30-day activity profile:

💡 Overview

langflow is an open-source project written in Python: Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

Engineered for speed, consistency, and developer ease, it solves common hurdles in agents, chatgpt, generative-ai. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install langflow

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

langflow coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with langflow.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install langflow using your package manager: `pip install langflow`

2

Initialize your project workspace or configuration file for langflow.

3

Import langflow into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `langflow --help` to verify successful setup.

👍 Strengths

Active community backing with 155,192 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

langflow-ai/langflow is currently ranked #35 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#30 flutter/flutter Dart ★ 179.1K Compare ↗
#31 github/gitignore — ★ 176K Compare ↗
#32 twbs/bootstrap MDX ★ 174.9K Compare ↗
#33 huggingface/transformers Python ★ 166.7K Compare ↗
#34 AUTOMATIC1111/stable-diffusion-webui Python ★ 165.1K Compare ↗
#35 langflow-ai/langflow This Project Python ★ 155.3K
#36 clash-verge-rev/clash-verge-rev Rust ★ 147.6K Compare ↗
#37 langchain-ai/langchain Python ★ 147.2K Compare ↗
#38 DietrichGebert/ponytail JavaScript ★ 146.9K Compare ↗
#39 x1xhlol/system-prompts-and-models-of-ai-tools — ★ 143.9K Compare ↗
#40 yangshun/tech-interview-handbook TypeScript ★ 143K Compare ↗

Frequently Asked Questions

What does langflow do? +

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

What language is langflow written in? +

The primary language is Python. Topics include: agents, chatgpt, generative-ai, large-language-models, multiagent.

Is langflow actively maintained? +

Yes, the last recorded push was on Sep 26, 2026 with 1,189 open issues being tracked.

How many stars does langflow have? +

langflow has 155,265 stars and 10,149 forks on GitHub.

How does langflow rank among GitHub repositories? +

With 155,265 stars, langflow-ai/langflow is ranked #35 globally across all repositories tracked on GitHubRepo and #10 among Python projects.

What license is langflow distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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