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langchain-ai/langgraph

Build resilient agents.

Python ◇ agents MIT

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★42.4KSTARS

⑂7.2KFORKS

!830ISSUES

🏆#243GLOBAL RANK

🔥6DAYS TRENDING

🚀

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Star History

Continuous Observations

Interactive star growth chart for langchain-ai/langgraph

Momentum

+1.1K

STARS · LAST 30 DAYS

PER DAY

#57

MOST-STARRED Python

Window	7 days	30 days	90 days
Stars gained	+245	+1.1K	+3.2K
Per day	35	35	35
Forks gained	+36	+143	+359

langgraph gained 1.1K stars in the last 30 days, about 35 a day, and now has 42.4K. It is about 3 years old and has averaged roughly 14.1K stars a year. It ranks #57 among Python repositories and #243 across all languages on GitHubRepo.

Trending Record

langgraph has maintained a continuous presence across global trending indexes, peaking at #121. Below is the 30-day activity profile:

💡 Overview

langgraph is an open-source project written in Python: Build resilient agents.

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

⚡ Key Features

Optimized execution pipeline written in Python for predictable speed.

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

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

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

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

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal

$ pip install langgraph

$ pip install langgraph # or: brew install langgraph

> pip install langgraph

⚙ System Requirements

Platforms

• macOS
• Linux
• Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

langgraph 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 langgraph.

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

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

Initialize your project workspace or configuration file for langgraph.

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

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

👍 Strengths

Active community backing with 42,228 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.

⇄ Alternatives & Direct Competitors

💡

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Explore all OpenAI API & ChatGPT alternatives →

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Curated list of project-based tutorials

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The agent that grows with you

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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

langchain-ai/langgraph is currently ranked #243 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

Rank	Repository	Language	Stars	Action
#238	reactive-resume/reactive-resume	TypeScript	★ 43.4K	Compare ↗
#239	vercel-labs/agent-browser	Rust	★ 43.3K	Compare ↗
#240	FuelLabs/fuels-rs	Rust	★ 43K	Compare ↗
#241	saadeghi/daisyui	JavaScript	★ 42.5K	Compare ↗
#242	sxyazi/yazi	Rust	★ 42.5K	Compare ↗
#243	langchain-ai/langgraph This Project	Python	★ 42.4K
#244	exelban/stats	Swift	★ 42.1K	Compare ↗
#245	XTLS/Xray-core	Go	★ 41.8K	Compare ↗
#246	tabler/tabler	Astro	★ 41.8K	Compare ↗
#247	duckdb/duckdb	C++	★ 41.8K	Compare ↗
#248	LizardByte/Sunshine	C++	★ 41.6K	Compare ↗

Frequently Asked Questions

What does langgraph do? +

Build resilient agents.

What language is langgraph written in? +

The primary language is Python. Topics include: agents, ai, ai-agents, chatgpt, deepagents.

Is langgraph actively maintained? +

Yes, the last recorded push was on Sep 27, 2026 with 830 open issues being tracked.

How many stars does langgraph have? +

langgraph has 42,364 stars and 7,174 forks on GitHub.

How does langgraph rank among GitHub repositories? +

With 42,364 stars, langchain-ai/langgraph is ranked #243 globally across all repositories tracked on GitHubRepo and #57 among Python projects.

What license is langgraph distributed under? +

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

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💼

LinkedIn

Why langgraph is replacing paid subscriptions for engineering teams

Stop paying $50+/month for locked SaaS tools.

Over 42,364 developers have starred langchain-ai/langgraph, an impressive Python open-source project designed to Build resilient agents.

Key Engineering Advantages:
• 100% Local-First: Complete data privacy with zero tracking or telemetry.
• Zero Subscription Costs: No paywalls, per-seat fees, or API markups.
• Complete Customization: Native open-source architecture you can fork, inspect, and deploy anywhere.
• Proven Adoption: 42,364 GitHub stars and 7,174 forks.

If you're looking to streamline your engineering workflows without ballooning software expenses, this is worth checking out.

👉 Full star velocity and architectural report: https://githubrepo.cloud/repo/langchain-ai/langgraph
⭐ GitHub Repository: https://github.com/langchain-ai/langgraph

#OpenSource #SoftwareEngineering #DeveloperTools #Tech #Programming #Python

🤖

Reddit (r/opensource, r/webdev, r/selfhosted)

Show r/opensource: langgraph – A free, self-hosted tool that lets you Build resilient agents

Hey everyone,

I wanted to share an interesting open-source project called **langgraph** (https://github.com/langchain-ai/langgraph) that has been picking up heavy momentum lately (42,364 stars).

### What problem does it solve?
Many existing tools in this domain require expensive cloud plans or store your data on third-party servers. langgraph was built with a local-first philosophy, allowing developers to Build resilient agents without recurring subscription costs or privacy compromises.

### Tech Stack & Details:
- **Language:** Python
- **License:** MIT
- **GitHub:** [langchain-ai/langgraph](https://github.com/langchain-ai/langgraph)
- **Live Star Momentum Tracker:** [https://githubrepo.cloud/repo/langchain-ai/langgraph](https://githubrepo.cloud/repo/langchain-ai/langgraph)

Has anyone here tested this in production or integrated it into existing pipelines? Would love to hear your experience and feedback!

🟧

Hacker News (Show HN)

Show HN: langgraph – Build resilient agents

Hi HN,

langgraph is an open-source Python project designed to Build resilient agents.

Rather than relying on closed cloud endpoints, it executes locally on your own machine, providing predictable latency, total privacy, and full control.

Repository: https://github.com/langchain-ai/langgraph
Documentation & Metrics: https://githubrepo.cloud/repo/langchain-ai/langgraph

Feedback and PRs are welcome.

✍️

Dev.to / Hashnode Tags: opensource, python, devtools, webdev

This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet langgraph (42,364 GitHub Stars)

---
title: This GitHub repo replaces a $50 a month tool! Stop paying expensive software subscriptions. Meet langgraph
published: true
tags: opensource, python, devtools, programming
---

## Stop Paying Software Subscriptions For This

Finding high-quality, production-ready open source alternatives to expensive proprietary software can save engineering teams thousands of dollars every year.

Today, we're looking at **[langchain-ai/langgraph](https://github.com/langchain-ai/langgraph)**, a rapidly rising repository with **42,364 GitHub stars** and **7,174 forks**.

### What is langgraph?

> Build resilient agents

Written in **Python**, langgraph runs directly on your local workstation or private server, keeping your data secure and eliminating recurring license fees.

### Key Highlights
- **High Performance:** Lightweight, reliable, and built in Python.
- **Privacy & Security:** Complete ownership of your environment and data.
- **Growing Momentum:** Ranked **#243** globally across tracked repositories on [GitHubRepo](https://githubrepo.cloud/repo/langchain-ai/langgraph).

### Quick Start
To get started locally:

```bash
git clone https://github.com/langchain-ai/langgraph.git
cd langgraph
```

Check out the full repository and star history analytics here:
- **GitHub:** [langchain-ai/langgraph](https://github.com/langchain-ai/langgraph)
- **Star Velocity Tracker:** [langgraph on GitHubRepo.cloud](https://githubrepo.cloud/repo/langchain-ai/langgraph)

𝕏

X / Twitter Communities

Thread / Community Post for langgraph

Developers are sleeping on this GitHub repo 👇

langchain-ai/langgraph (42,364 ⭐) replaces expensive monthly software subscriptions with 100% free open source code.

⚡ What it does: Build resilient agents
💻 Built with: Python
🔒 100% local execution & privacy

Check live star velocity and benchmarks:
https://githubrepo.cloud/repo/langchain-ai/langgraph

#opensource #developer #coding #tech #programming

🧵

Threads Topics

Topic Discussion: Open Source & Developer Tools

This GitHub repo replaces a $50/month tool! 🚀

If you want to save hours of manual work and stop paying subscriptions, check out langchain-ai/langgraph.

It already has over 42,364 stars and lets you Build resilient agents.

Drop a comment if you've tried it, or check the full star momentum report:
https://githubrepo.cloud/repo/langchain-ai/langgraph

From our network

langchain-ai/langgraph

Star History

Momentum

Trending Record

💡 Overview

⚡ Key Features

📥 Installation

⚙ System Requirements

Platforms

Runtime & Dependencies

Architecture

🧠 How It Works

🎯 Production Use Cases

Autonomous AI Agents

Model Inference & Prompting

Context Memory & RAG

Developer Productivity

🚀 Getting Started

👍 Strengths

⚠️ Considerations

⇄ Alternatives & Direct Competitors

👥 Who Should Use This

🏆 Nearby in the Rankings

Frequently Asked Questions

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