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tryAGI/LangChain

C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.

C# ◇ ai MIT
★1.1KSTARS
⑂144FORKS
!48ISSUES
🏆#4,027GLOBAL RANK
🔥2DAYS TRENDING
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Momentum

+27

STARS · LAST 30 DAYS

1

PER DAY

#214

MOST-STARRED C#

Window7 days30 days90 days
Stars gained+7+27+90
Per day111
Forks gained+1+3+10

LangChain gained 27 stars in the last 30 days, about 1 a day, and now has 1.1K. It is about 3 years old and has averaged roughly 359 stars a year. It ranks #214 among C# repositories and #4,027 across all languages on GitHubRepo.

Trending Record

LangChain has maintained a continuous presence across global trending indexes, peaking at #4472. Below is the 30-day activity profile:

💡 Overview

LangChain is an open-source project written in C#: C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, csharp, dotnet. 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 C# 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/tryAGI/LangChain.git
cd LangChain

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C# environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

LangChain coordinates its core functionality through a modular C# 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 LangChain.

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 LangChain using your package manager: `git clone https://github.com/tryAGI/LangChain.git`

2

Initialize your project workspace or configuration file for LangChain.

3

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

4

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

👍 Strengths

Active community backing with 1,077 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in C# 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 C# 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 C#, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

tryAGI/LangChain is currently ranked #4,027 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#4,020 swift-server/async-http-client Swift ★ 1.1K Compare ↗
#4,020 chrisbanes/skills Python ★ 1.1K Compare ↗
#4,020 meta-pytorch/monarch Rust ★ 1.1K Compare ↗
#4,020 symfony/ux PHP ★ 1.1K Compare ↗
#4,020 superdoc/docx-editor TypeScript ★ 1.1K Compare ↗
#4,027 tryAGI/LangChain This Project C# ★ 1.1K
#4,027 secureblue/secureblue Python ★ 1.1K Compare ↗
#4,027 sgroschupf/zkclient Java ★ 1.1K Compare ↗
#4,030 belaban/JGroups Java ★ 1.1K Compare ↗
#4,031 minekube/gate Go ★ 1.1K Compare ↗
#4,032 kamgurgul/cpu-info Kotlin ★ 1.1K Compare ↗

Frequently Asked Questions

What does LangChain do? +

C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.

What language is LangChain written in? +

The primary language is C#. Topics include: ai, csharp, dotnet, langchain, langchain-csharp.

Is LangChain actively maintained? +

Yes, the last recorded push was on Oct 2, 2026 with 48 open issues being tracked.

How many stars does LangChain have? +

LangChain has 1,077 stars and 144 forks on GitHub.

How does LangChain rank among GitHub repositories? +

With 1,077 stars, tryAGI/LangChain is ranked #4,027 globally across all repositories tracked on GitHubRepo and #214 among C# projects.

What license is LangChain distributed under? +

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

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