Enterprise-Ready SDK for AI Agents and Workflows

Semantic Kernel is a model-agnostic SDK that empowers developers to build, orchestrate, and deploy AI agents and multi-agent systems. It is designed to facilitate the creation of both simple chatbots and complex workflows with enterprise-grade reliability and flexibility.

Key features:

• Model Flexibility - Connect to any LLM with built-in support for OpenAI, Azure OpenAI, Hugging Face, 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 functionality with native code functions, prompt templates, and more.
• Vector DB Support - Seamless integration with Azure AI Search, Elasticsearch, and Chroma.
• Multimodal Support - Process text, vision, and audio inputs.
• Local Deployment - Run with tools like Ollama and LMStudio.
• Enterprise Ready - Built for observability, security, and stable APIs.

Semantic Kernel is suitable for developers looking to integrate advanced AI functionalities into their applications, providing a robust framework for building intelligent systems.