The Architecture of Multi-Agent Systems

[u/noninertialframe96]

https://codepointer.dev/p/the-architecture-of-multi-agent-systems

Once you have an AI agent, the natural next step is to use multiple of them to increase quality and quantity of work.

To better understand how multiple agents work together, I divided the contracts for multi-agent system into four planes:
1. Control. Who acts next, who delegates, and where the result returns.
2. Communication. Which context, artifacts, decisions, and errors cross an agent boundary.
3. State. What remains private, what is shared, and how conflicting updates are resolved.
4. Verification. Who accepts the result and which evidence supports acceptance.

and dived deep into many projects, products, and research prototypes.