Semantic Kernel
agent-framework28,071MIT

Semantic Kernel

Microsoft's SDK for integrating LLMs with C#, Python, and Java - enterprise-grade AI orchestration.

Updated Jun 7, 2026
Website GitHub Docs
Platforms
linux, macos, windows
Pricing
free-open-source
Status
active
License
MIT

What it does

Core capabilities at a glance

  • Multi-language (C#, Python, Java)
  • Planner for automatic function orchestration
  • Semantic and native function composition
  • Memory and vector store connectors
  • Azure OpenAI and OpenAI integration
  • Enterprise-grade with .NET ecosystem

Deep dive

The full breakdown - performance, comparisons, and setup

Semantic Kernel

Semantic Kernel is Microsoft's answer to LangChain, designed primarily for the .NET ecosystem but supporting Python and Java as well.

What it is

Semantic Kernel is an SDK that bridges LLMs with conventional programming. It introduces concepts like plugins (functions the LLM can call), planners (automatic orchestration), and memories (vector storage).

Get started

// C#
using Microsoft.SemanticKernel;
var kernel = Kernel.CreateBuilder()
    .AddOllamaChatCompletion("qwen3:30b")
    .Build();
var result = await kernel.InvokePromptAsync("Hello!");

When to use something else

  • Python-focused team: LangChain has larger ecosystem
  • TypeScript team: Mastra or Vercel AI SDK
  • Google Cloud: Genkit

Frequently asked

Quick answers to common questions

What is Semantic Kernel?

Semantic Kernel is a agent-framework tool for local AI workloads. Microsoft's SDK for integrating LLMs with C#, Python, and Java - enterprise-grade AI orchestration.

Is Semantic Kernel free and open source?

Yes, Semantic Kernel has 28,071 GitHub stars and is licensed under MIT. You can self-host it for free on linux, macos, windows.

What platforms does Semantic Kernel support?

Semantic Kernel runs on linux, macos, windows.

What hardware do I need for Semantic Kernel?

The hardware requirements depend on which models you run. Check our hardware directory for compatible GPUs and systems. Semantic Kernel has 28,071 GitHub stars and an active community.

Does Semantic Kernel support GPU acceleration?

Semantic Kernel supports GPU acceleration via CUDA, Metal, or Vulkan depending on your platform. For the best performance, pair it with an NVIDIA RTX 4090 or 5090.

What are the best alternatives to Semantic Kernel?

Popular alternatives include other agent-framework tools in our directory. Browse our full collection at /tool for comparisons, community reviews, and benchmark data to find the right fit for your workflow.

How much does Semantic Kernel cost?

Semantic Kernel is free-open-source. It is completely free and open source to self-host.

Pairs well with

Complementary tools, models, and hardware

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