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microsoft/semantic-kernel

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

C# ◇ ai MIT
★28.7KSTARS
⑂4.8KFORKS
!337ISSUES
🏆#599GLOBAL RANK
🔥42DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

semantic-kernel is semantic-kernel is an open-source project written in C#: Integrate cutting-edge LLM technology quickly and easily into your apps.. It provides a free, self-hosted open-source alternative to OpenAI API & ChatGPT.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), microsoft/semantic-kernel has accumulated 28,724 GitHub stars and 4,847 forks. It is written in C#, licensed under MIT, and ranks #599 globally. It is actively maintained with the latest commit recorded on Oct 31, 2026.”
Repository microsoft/semantic-kernel ↗
Primary Category ai
Language & Stack C#
Software License MIT
Community Traction ★ 28.7K stars · ⑂ 4.8K forks · #599 globally
Maintenance ● Active (Last commit: Oct 31, 2026) · 337 open issues
Replaces SaaS Open Source OpenAI API & ChatGPT Alternative (Pay-per-token pricing with zero private data guarantees) →
Target Audience Developers and engineering teams building with C#, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 95/100 · Grade A+
✅
Is semantic-kernel actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, semantic-kernel is actively maintained. Continuous telemetry recorded the last code commit on Oct 31, 2026 (14 days ago). Supported by 28,724 stars and 4,847 community forks, this repository holds a calculated health index of 95/100, reflecting very active (commits within last 14 days) and active community feedback (337 open).

Commit Recency
Oct 31, 2026
14 days since last push
Issue Backlog
337 Open Issues
Active Community Feedback (337 open)
Community Backing
4.8K Forks
28.7K Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

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

+66

STARS · LAST 30 DAYS

2

PER DAY

#11

MOST-STARRED C#

Window7 days30 days90 days
Stars gained+0+66+180
Per day122
Forks gained+0+21+242

semantic-kernel gained 66 stars in the last 30 days, about 2 a day, and now has 28.7K. It is about 4 years old and has averaged roughly 7.2K stars a year. It ranks #11 among C# repositories and #599 across all languages on GitHubRepo.

Trending Record

semantic-kernel has maintained a continuous presence across global trending indexes, peaking at #1035. 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

💡
Open Source Alternative to OpenAI API & ChatGPT Replaces proprietary subscriptions (Pay-per-token pricing with zero private data guarantees) with self-hosted freedom.
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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 #599 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#594 dmlc/xgboost C++ ★ 28.9K Compare ↗
#595 huggingface/lerobot Python ★ 28.8K Compare ↗
#596 koodo-reader/koodo-reader JavaScript ★ 28.8K Compare ↗
#597 mlflow/mlflow Python ★ 28.8K Compare ↗
#598 fyne-io/fyne Go ★ 28.8K Compare ↗
#599 microsoft/semantic-kernel This Project C# ★ 28.7K
#600 HumanSignal/label-studio TypeScript ★ 28.7K Compare ↗
#601 BloopAI/vibe-kanban Rust ★ 28.7K Compare ↗
#602 niri-wm/niri Rust ★ 28.5K Compare ↗
#603 bagisto/bagisto PHP ★ 28.4K Compare ↗
#604 PrefectHQ/fastmcp Python ★ 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

Is semantic-kernel actively maintained in 2026? +

Yes, semantic-kernel is actively maintained. The latest code push was recorded on Oct 31, 2026 (14 days ago). It holds a calculated Maintenance Health Score of 95/100 (A+ rating) with 28,724 stars and 337 open issues.

What language is semantic-kernel written in? +

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

How many stars does semantic-kernel have? +

semantic-kernel has 28,724 stars and 4,847 forks on GitHub.

How does semantic-kernel rank among GitHub repositories? +

With 28,724 stars, microsoft/semantic-kernel is ranked #599 globally across all repositories tracked on GitHubRepo and #11 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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