Semantic Kernel

Semantic Kernel Build intelligent AI agents and multi-agent systems with this enterprise-ready orchestration framework. License: MIT Python package Nuget package Discord What is Semantic Kernel? Semantic Kernel is a model-agnostic SDK that empowers developers to build, orchestrate, and deploy AI agents and multi-agent systems. Whether you're building a simple chatbot or a complex multi-agent workflow, Semantic Kernel provides the tools you need with enterprise-grade reliability and flexibility. System Requirements Python: 3.10+ .NET: .NET 8.0+ Java: JDK 17+ OS Support: Windows, macOS, Linux Key Features Model Flexibility: Connect to any LLM with built-in support for OpenAI, Azure OpenAI, Hugging Face, NVidia and more Agent Framework: Build modular AI agents with access to tools/plugins, memory, and planning capabilities Multi-Agent Systems: Orchestrate complex workflows with collaborating specialist agents Plugin Ecosystem: Extend with native code functions, prompt templates, OpenAPI specs, or Model Context Protocol (MCP) Vector DB Support: Seamless integration with Azure AI Search, Elasticsearch, Chroma, and more Multimodal Support: Process text, vision, and audio inputs Local Deployment: Run with Ollama, LMStudio, or ONNX Process Framework: Model complex business processes with a structured workflow approach Enterprise Ready: Built for observability, security, and stable APIs