
Buildfire
The best native mobile app builder to build, publish, and manage iOS & Android apps without code.

Build intelligent AI agents and multi-agent systems with an enterprise-ready orchestration framework.

Semantic Kernel is a model-agnostic SDK designed to empower developers in building, orchestrating, and deploying AI agents and multi-agent systems. It supports integration with various LLMs, including OpenAI, Azure OpenAI, Hugging Face, and Nvidia. The framework allows developers to create modular AI agents with capabilities such as tool/plugin access, memory management, and planning. It facilitates the orchestration of complex workflows using collaborating specialist agents. Semantic Kernel supports extensions through native code functions, prompt templates, OpenAPI specs, and the Model Context Protocol (MCP). It offers seamless integration with vector databases like Azure AI Search and Elasticsearch. The framework is built for enterprise-grade reliability, observability, and security with stable APIs. It supports local deployment with Ollama, LMStudio, or ONNX and can model complex business processes with a structured workflow approach.
Semantic Kernel is a model-agnostic SDK designed to empower developers in building, orchestrating, and deploying AI agents and multi-agent systems.
Explore all tools that specialize in plugin integration. This domain focus ensures Semantic Kernel delivers optimized results for this specific requirement.
Connects to various LLMs like OpenAI, Azure OpenAI, Hugging Face, and Nvidia, allowing developers to switch models without changing the core code.
Enables the creation of modular AI agents with memory, planning, and access to tools/plugins, facilitating complex task automation.
Orchestrates complex workflows with collaborating specialist agents, enabling sophisticated problem-solving scenarios.
Extends functionality with native code functions, prompt templates, OpenAPI specs, and Model Context Protocol (MCP), providing a rich set of integration options.
Seamlessly integrates with vector databases like Azure AI Search and Elasticsearch, allowing for efficient information retrieval and contextual understanding.
Install the Semantic Kernel SDK using pip (Python) or dotnet add package (C#/.NET).
Set environment variables for your AI service (e.g., Azure OpenAI API key).
Initialize a chat agent with basic instructions using ChatCompletionAgent.
Connect the agent to your preferred LLM service (e.g., AzureChatCompletion, OpenAI).
Enhance the agent with custom tools (plugins) by defining kernel functions and arguments.
Orchestrate multi-agent systems by defining specialized agents and their interactions.
Deploy the system locally using Ollama or LMStudio for testing and development.
All Set
Ready to go
Verified feedback from other users.
"Semantic Kernel is praised for its flexibility, comprehensive features, and ease of integration with various LLMs and vector databases."
Post questions, share tips, and help other users.

The best native mobile app builder to build, publish, and manage iOS & Android apps without code.

A lightweight, stable, instantly familiar free open-source content management system forked from WordPress without the block editor (Gutenberg).

The open source publishing platform of choice for millions of websites worldwide.