4 articles
A comprehensive guide to Microsoft AutoGen for building multi-agent AI systems, covering agent setup, GroupChat, code execution, custom tools, and production deployment patterns. For ML engineers building collaborative agent pipelines.
A complete guide to CrewAI for building teams of AI agents that collaborate on complex tasks, covering agents, tasks, tools, sequential and hierarchical processes, and real-world workflow examples. For developers building production multi-agent pipelines.
Google's Agent-to-Agent (A2A) protocol standardizes how AI agents discover, communicate, and collaborate in production. This guide covers agent cards, task lifecycles, discovery services, and building A2A-compatible agents in TypeScript.
Build multi-agent systems using supervisor-worker patterns, agent specialization, shared state management, and result aggregation with LangGraph.