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SEMANTIC KERNEL
Build and orchestrate AI agents with a model-agnostic SDK for C#, Python, and Java
MIT
ABOUT
Developers struggle to integrate rapidly evolving LLMs into existing applications without rewriting code or being locked into a single model provider. Semantic Kernel provides a model-agnostic orchestration layer that abstracts AI model differences, enabling seamless model swapping, plugin composition, and multi-agent coordination across C#, Python, and Java codebases.
INSTALL
pip install semantic-kernel
dotnet add package Microsoft.SemanticKernel
INTEGRATION GUIDE
1. Build AI agents that autonomously call functions and plugins to complete tasks
2. Orchestrate multi-agent systems with collaborating specialist agents
3. Implement retrieval-augmented generation with vector store connectors
4. Automate business processes by combining AI prompts with existing APIs
5. Create enterprise copilots with observability, security filters, and telemetry
TAGS
aisdkllmagentsorchestrationmicrosoftragmulti-agentopenaiplugin