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microsoft/semantic-kernel

Integrate cutting-edge LLM technology quickly and easily into your apps

C# ◇ ai MIT
★28.6KSTARS
⑂4.8KFORKS
!313ISSUES
🏆#350GLOBAL RANK
🔥2DAYS TRENDING
🚀
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Star History

Continuous Observations
Interactive star growth chart for microsoft/semantic-kernel
CSV

Momentum

+715

STARS · LAST 30 DAYS

24

PER DAY

#7

MOST-STARRED C#

Window7 days30 days90 days
Stars gained+168+715+2.2K
Per day242424
Forks gained+24+96+240

semantic-kernel gained 715 stars in the last 30 days, about 24 a day, and now has 28.6K. It is about 4 years old and has averaged roughly 7.2K stars a year. It ranks #7 among C# repositories and #350 across all languages on GitHubRepo.

Trending Record

semantic-kernel has maintained a continuous presence across global trending indexes, peaking at #1407. Below is the 30-day activity profile:

💡 Overview

semantic-kernel is an open-source project written in C#: Integrate cutting-edge LLM technology quickly and easily into your apps.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, artificial-intelligence, llm. 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/microsoft/semantic-kernel.git
cd semantic-kernel

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

C# environment and standard tooling

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

semantic-kernel 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 semantic-kernel.

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 semantic-kernel using your package manager: `git clone https://github.com/microsoft/semantic-kernel.git`

2

Initialize your project workspace or configuration file for semantic-kernel.

3

Import semantic-kernel into your codebase or invoke it directly from your terminal.

4

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

👍 Strengths

Active community backing with 28,607 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

microsoft/semantic-kernel is currently ranked #350 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#345 actualbudget/actual TypeScript ★ 29.2K Compare ↗
#346 alibaba/spring-cloud-alibaba Java ★ 29.2K Compare ↗
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#348 envoyproxy/envoy C++ ★ 29K Compare ↗
#349 rohitg00/agentmemory TypeScript ★ 29K Compare ↗
#350 microsoft/semantic-kernel This Project C# ★ 28.6K
#351 srbhr/Resume-Matcher Python ★ 28.5K Compare ↗
#352 yamadashy/repomix TypeScript ★ 28.5K Compare ↗
#353 kestra-io/kestra Java ★ 28.4K Compare ↗
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Frequently Asked Questions

What does semantic-kernel do? +

Integrate cutting-edge LLM technology quickly and easily into your apps

What language is semantic-kernel written in? +

The primary language is C#. Topics include: ai, artificial-intelligence, llm, openai, sdk.

Is semantic-kernel actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 313 open issues being tracked.

How many stars does semantic-kernel have? +

semantic-kernel has 28,607 stars and 4,796 forks on GitHub.

How does semantic-kernel rank among GitHub repositories? +

With 28,607 stars, microsoft/semantic-kernel is ranked #350 globally across all repositories tracked on GitHubRepo and #7 among C# projects.

What license is semantic-kernel distributed under? +

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

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