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Building Multi-Agent Systems with AutoGen and Azure
Instead of a single LLM handling all tasks, multi-agent systems divide work among specialized agents that communicate and coordinate to achieve goals.
5 articles
Instead of a single LLM handling all tasks, multi-agent systems divide work among specialized agents that communicate and coordinate to achieve goals.
AutoGen enables building sophisticated AI systems that can decompose complex tasks and collaborate to find solutions.
Four multi-agent orchestration patterns, what Semantic Kernel, AutoGen 0.4 and Azure AI Agent Service offered for each in January 2025, and when to skip them.
How LangChain 0.1, AutoGen 0.2, CrewAI 0.1 and Semantic Kernel 1.0 differ in maturity, control and Azure OpenAI fit, and which one I'd pick for what.
A practical look at AutoGen 0.2 with Azure OpenAI: wiring the config, stopping runaway conversations, sandboxing generated code and registering tools.