Multi-agent Systems Architectures | Design Patterns | LangGraph | AI agents

In this video, we explore the fundamental architectures of multi-agent AI systems. As your AI applications grow in complexity with more tools and requirements, agents can become confused about tool selection. Understanding your underlying architecture is key to building effective systems. We cover five major architectures: Single Agent - One agent with multiple tools connected to an LLM Supervision - A main agent orchestrating multiple sub-agents Hierarchical - Specialized teams with dedicated supervisors Network - Agents freely communicating with any other agent Custom - Including swarm architecture where specialized agents dynamically hand off control This video provides the theoretical foundation for multi-agent systems. In upcoming videos, we'll dive deeper into each architecture with practical code implementations. 🔗 RESOURCES: GitHub repo: https://github.com/Princekrampah/agentic_ai_systems Blog article: https://medium.com/@princekrampah/multi-agent-architecture-in-multi-agent-systems-multi-agent-system-design-patterns-langgraph-b92e934bf843 #AI #MultiAgentSystems #MachineLearning #AIEngineering #LLM #PythonProgramming Buy me a coffee: https://www.buymeacoffee.com/princez3 Follow me on social media: Discord community server: https://discord.gg/xpyUaEppzU twitter: https://twitter.com/Prince_krampah Channel main page: https://www.youtube.com/c/CodeWithPrince Hope you enjoy today's video. Please show your love and support by just liking and subscribing to the channel so we can grow a strong and powerful community. Activate the 🔔 beside the subscribe button to get the notification!📩 If you have any questions or requests feel free to leave them in the comments below. Thank you for watching and see you in the next video!!