Why Multi-Agent AI?

A quick explainer on multi-agent patterns and why they are useful.

Multi-agent AI refers to systems where multiple specialized agents, often powered by large language models (LLMs), collaborate to solve complex tasks. This approach is gaining traction across engineering, healthcare, and enterprise AI because it offers modularity, scalability, and precision.

Try out these samples:
OpenAI Swarm with Python: https://github.com/AzureCosmosDB/multi-agent-swarm
LangGraph (Python) and Semantic Kernel (C#): https://github.com/AzureCosmosDB/banking-multi-agent-workshop
Spring AI (Java): https://github.com/AzureCosmosDB/multi-agent-spring-ai

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Видео Why Multi-Agent AI? канала Azure Cosmos DB