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SkillsApr 1, 2026·2 min de lecture

Semantic Kernel — Microsoft AI Agent Framework

Semantic Kernel is Microsoft enterprise AI agent framework for Python, .NET, and Java. 27.6K+ GitHub stars. Multi-model, multi-agent, vector DB integration. MIT.

Introduction

Semantic Kernel is Microsoft's enterprise-ready AI agent orchestration framework for building intelligent agents and multi-agent systems. With 27,600+ GitHub stars and MIT license, it supports Python, .NET, and Java with multi-model LLM integration (OpenAI, Azure, HuggingFace, NVIDIA, Ollama), agent framework with tool/plugin access and planning, multi-agent orchestration, vector database integration (Azure AI Search, Elasticsearch, Chroma), multimodal processing (text, vision, audio), and business process modeling.

Best for: Enterprise teams building AI agents with Microsoft ecosystem integration Works with: Claude Code, OpenAI Codex, Cursor, Gemini CLI, Windsurf Languages: Python, .NET (C#), Java


Key Features

  • Multi-language: Python, .NET, Java SDKs
  • Multi-model: OpenAI, Azure, HuggingFace, NVIDIA, Ollama, LMStudio
  • Agent framework: Tools, plugins, and automatic planning
  • Multi-agent orchestration: Complex workflow coordination
  • Vector DB integration: Azure AI Search, Elasticsearch, Chroma
  • Multimodal: Text, vision, audio processing
  • Enterprise-ready: Observability, security, Azure integration

FAQ

Q: What is Semantic Kernel? A: Microsoft's AI agent framework with 27.6K+ stars. Python/.NET/Java, multi-model, multi-agent, vector DB, enterprise-ready. MIT licensed.

Q: How do I install Semantic Kernel? A: Python: pip install semantic-kernel. .NET: dotnet add package Microsoft.SemanticKernel.


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Source et remerciements

Created by Microsoft. Licensed under MIT. microsoft/semantic-kernel — 27,600+ GitHub stars

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