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langchain-ai
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langchain-ai/docs

Unified LangChain documentation.

★431STARS
⑂2.7KFORKS
!398ISSUES
🏆#9,422GLOBAL RANK
🔥4DAYS TRENDING
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Momentum

+11

STARS · LAST 30 DAYS

1

PER DAY

#5

MOST-STARRED MDX

Window7 days30 days90 days
Stars gained+7+11+90
Per day111
Forks gained+14+55+137

docs gained 11 stars in the last 30 days, about 1 a day, and now has 431. It is about 1 year old and has averaged roughly 431 stars a year. It ranks #5 among MDX repositories and #9,422 across all languages on GitHubRepo.

Trending Record

docs has maintained a continuous presence across global trending indexes, peaking at #9407. Below is the 30-day activity profile:

💡 Overview

docs is an open-source project written in MDX: Unified LangChain documentation.

Engineered for speed, consistency, and developer ease, it solves common hurdles in documentation, langchain, langgraph. 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 MDX 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
$ git clone https://github.com/langchain-ai/docs.git
cd docs

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

MDX environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

docs coordinates its core functionality through a modular MDX 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 docs.

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 docs using your package manager: `git clone https://github.com/langchain-ai/docs.git`

2

Initialize your project workspace or configuration file for docs.

3

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

4

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

👍 Strengths

Active community backing with 431 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in MDX 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 MDX 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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👥 Who Should Use This

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

🏆 Nearby in the Rankings

langchain-ai/docs is currently ranked #9,422 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#9,416 folbricht/desync Go ★ 432 Compare ↗
#9,416 open-telemetry/opentelemetry-lambda Go ★ 432 Compare ↗
#9,416 PWBuild-Team/Perfect_Works_Build C++ ★ 432 Compare ↗
#9,416 trimble-oss/dba-dash C# ★ 432 Compare ↗
#9,416 Euterpe-org/App C# ★ 432 Compare ↗
#9,422 langchain-ai/docs This Project MDX ★ 431
#9,422 mapbox/cheap-ruler JavaScript ★ 431 Compare ↗
#9,422 bonigarcia/mastering-junit5 Java ★ 431 Compare ↗
#9,422 samsonwang/LaunchyQt C++ ★ 431 Compare ↗
#9,422 go-git/go-billy Go ★ 431 Compare ↗
#9,422 vincode-io/Zavala Swift ★ 431 Compare ↗
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Frequently Asked Questions

What does docs do? +

Unified LangChain documentation.

What language is docs written in? +

The primary language is MDX. Topics include: documentation, langchain, langgraph, langsmith.

Is docs actively maintained? +

Yes, the last recorded push was on Oct 15, 2026 with 398 open issues being tracked.

How many stars does docs have? +

docs has 431 stars and 2,744 forks on GitHub.

How does docs rank among GitHub repositories? +

With 431 stars, langchain-ai/docs is ranked #9,422 globally across all repositories tracked on GitHubRepo and #5 among MDX projects.

What license is docs distributed under? +

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

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