Semantic Kernel is a lightweight, open-source development kit by Microsoft designed to help developers easily build, orchestrate, and deploy AI agents and multi-agent workflows. It integrates seamlessly with the latest AI models across C#, Python, and Java environments. Semantic Kernel acts as robust middleware between AI language models and application code, enabling rapid delivery of intelligent, enterprise-grade solutions that are flexible, scalable, and secure. It supports modular code plugins, function calling, complex workflows, and multimodal AI capabilities, making it future-proof and adaptable to evolving AI technologies.
Key Features:
Model flexibility: Connects to many LLM providers like OpenAI, Azure OpenAI, Hugging Face, and Nvidia.
Agent framework: Build modular AI agents with planning, memory, and plugin tool capabilities.
Multi-agent orchestration: Supports collaboration of specialized agents for complex workflows.