Can I run these agents using local AI models?

Yes, the skill is specifically designed to use Ollama as the backend, allowing you to run models like Llama 3 or CodeLlama locally for privacy and speed.

Which agent frameworks are supported by this skill?

This skill provides deep integration and configuration patterns for both Microsoft AutoGen for multi-agent conversations and Semantic Kernel for function calling and memory.

What is a 'Self-Healing' workflow?

It is a specialized workflow where agents automatically detect service errors, diagnose the root cause using log analysis, and attempt to apply fixes like service restarts or config changes.

How does the Coordinator agent work?

The Coordinator acts as the central brain of the system, delegating tasks to specialized agents (like Research or Home agents) and synthesizing their outputs into a final response.

Microsoft Agent Orchestrator

Name: Microsoft Agent Orchestrator
Author: Lobbi-Docs

byLobbi-Docs

数据科学与机器学习

Orchestrates complex multi-agent systems using Microsoft AutoGen and Semantic Kernel with local LLM support.

关于

The Microsoft Agent Orchestrator skill provides a comprehensive framework for building, managing, and scaling multi-agent ecosystems within the Ahling Command Center. By integrating Microsoft's AutoGen and Semantic Kernel, it enables developers to implement sophisticated orchestration patterns—including hierarchical delegation, group chats, and self-healing workflows. The skill features specialized agent templates for home automation, research, and code generation, all optimized for local execution via Ollama, making it ideal for creating private, robust AI-driven command and control systems.

主要功能

Specialized agent templates for coordination, research, coding, and home automation
Advanced workflow patterns including hierarchical delegation and self-healing
Multi-agent orchestration using AutoGen and Semantic Kernel frameworks
Seamless integration with Ollama for local LLM backend serving
Support for Semantic Kernel native functions, planners, and persistent memory
0 GitHub stars

使用场景

Implementing autonomous self-healing infrastructure to diagnose and fix service errors
Creating multi-agent research pipelines for information retrieval and data synthesis
Building an AI-driven smart home command center with device control and status reporting

关于

主要功能

Specialized agent templates for coordination, research, coding, and home automation
Advanced workflow patterns including hierarchical delegation and self-healing
Multi-agent orchestration using AutoGen and Semantic Kernel frameworks
Seamless integration with Ollama for local LLM backend serving
Support for Semantic Kernel native functions, planners, and persistent memory
0 GitHub stars

使用场景

Implementing autonomous self-healing infrastructure to diagnose and fix service errors
Creating multi-agent research pipelines for information retrieval and data synthesis
Building an AI-driven smart home command center with device control and status reporting