Semantic Kernel
Empower developers to build, orchestrate, and deploy intelligent AI agents and multi-agent systems.
About
Semantic Kernel is an enterprise-ready, model-agnostic SDK designed to simplify the integration of cutting-edge LLM technology into applications. It provides a robust orchestration framework for building and deploying intelligent AI agents and complex multi-agent systems, from simple chatbots to sophisticated workflows. With support for various LLMs, a flexible plugin ecosystem, and integrations with vector databases, it offers the tools needed for reliable and scalable AI development.
Key Features
- Model-agnostic SDK with built-in support for multiple LLM providers (OpenAI, Azure OpenAI, Hugging Face, NVidia)
- Orchestration framework for creating and managing complex multi-agent systems
- Seamless integration with various vector databases including Azure AI Search, Elasticsearch, and Chroma
- Agent framework for building modular AI agents with tools/plugins, memory, and planning capabilities
- Extensible plugin ecosystem with support for native code functions, prompt templates, and OpenAPI specs
- 24,970 GitHub stars
Use Cases
- Developing complex multi-agent systems for specialized tasks and workflows
- Building intelligent chatbots and conversational AI applications
- Integrating advanced LLM capabilities and AI agents into existing enterprise applications
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