SDK for building intelligent AI agents and multi-agent systems
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Semantic Kernel is an enterprise-ready, model-agnostic SDK for integrating AI capabilities into applications. It empowers developers to build, orchestrate, and deploy AI agents and multi-agent systems, supporting complex workflows and offering flexibility with various LLM connectors and plugin ecosystems.
How It Works
Semantic Kernel provides a framework for creating modular AI agents that can access tools (plugins), memory, and planning capabilities. It supports multi-agent systems, allowing specialized agents to collaborate on complex tasks. The SDK offers seamless integration with vector databases and supports multimodal inputs, enabling sophisticated AI applications with enterprise-grade reliability.
Quick Start & Requirements
pip install semantic-kernel
(Python), dotnet add package Microsoft.SemanticKernel
( .NET).OPENAI_API_KEY
, AZURE_OPENAI_API_KEY
) are required.Highlighted Details
Maintenance & Community
Microsoft maintains the project. Community engagement is encouraged through GitHub discussions and a Discord server. Contributions are welcomed, with a process for feature proposals to ensure alignment with the project's direction.
Licensing & Compatibility
Licensed under the MIT license. This permissive license allows for commercial use and integration into closed-source applications.
Limitations & Caveats
The framework is actively developed, and while enterprise-ready, specific features or connectors might be in preview or subject to change. Users should consult the latest documentation for the most up-to-date compatibility and feature status.
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