97% of you are probably blissfully unaware of AI agents. However, they’re here and evolving fast!
I've covered an explainer of AI agents for non-techies before, see the comments for a link to that.
For most non-techies, AI is viewed as one entity doing every thing on its own.
With agents, we can create a team of specialists.
That’s the idea behind multi-agent AI systems
This image (from the brilliant folks at LangGraph) shows different ways you can set up teams of AI “agents.”
Think of each agent like a little digital worker with a specific role - one plans, another checks facts, one executes tasks, and another reviews the results.
Like any good team, they talk to each other, share ideas, and back each other up.
Now, let's explain that image:
1️⃣ Single Agent
This is your classic setup with one AI model doing all the work. It can use tools, but it’s working solo. Smart, but overworked.
2️⃣ Network
Here, agents all talk to each other like a group chat. Everyone’s sharing, checking, and helping out. Great for collaboration, but can get noisy.
3️⃣ Supervisor
This is the manager model where one central AI supervises others. It gives instructions and checks in. A bit like a project lead guiding a team.
4️⃣ Supervisor as Tools
Flip it around: the main AI treats the others as tools. It doesn’t chat with them it just uses them to get stuff done. Efficient, but not very democratic.
5️⃣ Hierarchical
This is like an org chart. Big boss on top, middle managers below, then the doers. Neat, structured, scalable.
6️⃣ Custom
Everything everywhere all at once. No strict structure—just doing what works to get the job done. It can look a bit messy, but it’s great for handling tricky tasks that don’t fit in a neat box.
→ So why does this matter?
Traditional AI is like having one brain trying to do everything.
But now, we can build teams of AIs, each focused on a task—planning, checking, executing, or reviewing.
Multi-agent systems might sound like Sci-Fi but they're already at work today.
↳ Image Credit: Google Agents Companion & LangGraph Multi-agent systems
📔 Source: Agents Companion Report 2025 by Google
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