Master Multi Agent Architectures

Ever wondered how multi-agent AI systems work? 🤔 In this short video, we break down different LangGraph architectures and how they enable smarter AI workflows!

🔹 Key Architectures Explained:
✅ Single-Agent Systems – A basic setup where one agent decides which tool to use.
✅ Network Agents – Agents communicate with each other, but accuracy can be a challenge.
✅ Supervisor Agent Model – A central decision-maker routes queries to the right tools.
✅ Hierarchical Architecture – Multiple supervisors manage complex workflows.
✅ Custom Architectures – Fully flexible setups where you design AI agent interactions.

These multi-agent systems can make AI applications faster, smarter, and more efficient—especially for large-scale automation and reasoning tasks.

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