Multi-Agent System
Category: Agents“MUL-tee AY-jent SIS-tem”
Many AI agents working together while sharing information.
Lesson #1: AI Foundations & the Agent Era →A construction crew where everyone has a different trade.
A navigation app: one part reads traffic, one plans the route, one speaks the directions.
Estimating AI, scheduling AI, accounting AI, and customer service AI all cooperate.
A marketing team of AIs — one writes posts, one picks images, one schedules, one reports results.
Teams of AIs can handle whole workflows, not just single tasks.
A multi-agent system is a crew of AIs sharing information to finish bigger work.
Think of a team you know — a crew, a kitchen, an office. Name each person's role, then match each role to an AI agent.
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Related terms
Picked automatically from the same category and the ideas this term shares.
Hand-picked pair
An AI worker that has a specific job to do.
Hand-picked pair
A group of very small AI programs that each have one job, but they work together like a team to solve bigger problems.
Hand-picked pair
The AI manager that tells all the other AI agents what to do.
Same category: Agents
A fixed set of steps an AI follows in order, every time — unlike an agent that decides its own path.
Same category: Agents
Handing a specific piece of work to the agent — or to another agent — best suited to finish it.
Same category: Agents
An AI agent that can complete tasks on its own within rules you give it.
See it in Python
Truth Code: Python lessons that use this idea in real code.