Semantic Kernel
by Microsoft
Microsoft's SDK for integrating LLMs into applications
See All Agentic FrameworksOverview
Semantic Kernel is an open-source SDK that lets developers integrate cutting-edge LLM technology into apps. Supports C#, Python, and Java with enterprise features.
Key Statistics
Overall Rating
4.0/5
GitHub Stars
26,300
Last Updated
2025-10
Version
1.30.0
Features
Enterprise integration
Enterprise integration capabilities
Multi-language support
Multi-language support capabilities
Plugin architecture
Plugin architecture capabilities
Getting Started
Installation
Install via NuGet or pip
Quick Start
Install SDK and create kernel instance
Code Example
using Microsoft.SemanticKernel;
Pros & Cons
Advantages
Strong Microsoft ecosystem integration
Multi-language support (C# Python Java)
Enterprise-grade quality and support
Good for .NET developers
Plugin architecture is flexible
MIT license
Limitations
Optimized primarily for Azure ecosystem
Less community adoption than LangChain
Documentation can be overwhelming
C# focus may alienate Python-first developers
Smaller integration ecosystem
Technical Details
Primary Language
C#
Supported Languages
License
MIT
Enterprise Ready
Yes
Community Size
Large
Pricing
Open Source
Free open source under MIT
Performance Metrics
easeOfUse
4/5
scalability
4/5
documentation
4/5
community
4/5
performance
4/5
Common Use Cases
Enterprise application integration
Plugin-based AI systems
Multi-language AI applications
Microsoft ecosystem integration
Enterprise chatbots and assistants
Ready to implement your own advanced use case?
Get started with Semantic Kernel today and build powerful AI applications.
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