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Semantic Kernel Agent Orchestration - Concurrent Orchestration (Series 1/5)

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Semantic Kernel Agent Orchestration - Concurrent Orchestration (Series 1/5)

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Concurrent Orchestration
The concurrent pattern enables multiple agents to work on the same task in parallel. Each agent processes the input independently, and their results are collected and aggregated. This approach is well-suited for scenarios where diverse perspectives or solutions are valuable, such as brainstorming, ensemble reasoning, or voting systems.

Why Multi-agent Orchestration?
Traditional single-agent systems are limited in their ability to handle complex, multi-faceted tasks. By orchestrating multiple agents, each with specialized skills or roles, we can create systems that are more robust, adaptive, and capable of solving real-world problems collaboratively. Multi-agent orchestration in Semantic Kernel provides a flexible foundation for building such systems, supporting a variety of coordination patterns.

Orchestration Patterns
Semantic Kernel supports several orchestration patterns, each designed for different collaboration scenarios. These patterns are available as part of the framework and can be easily extended or customized.

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