Multi Agent Patterns
neolabhq/context-engineering-kitMulti-agent architectures let you break big tasks into smaller jobs for different AI agents. Each agent works on its own part with a clean focus. This helps when a single agent runs out of room or when tasks are easier to do separately.
These designs are useful for complex work that has many steps. You can have one boss agent that gives out tasks or let agents work together as equals. The main idea is to keep each agent's job simple and separate.
By using multiple agents, you can work on several parts at the same time. Each agent can be built just for its own job. This makes the whole system faster and more reliable.
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