Multi-agent systems

Complex goals can exceed the limits of a single agent. By dividing responsibilities and coordinating multiple roles, we can design systems that scale, specialize, and remain controllable. These patterns support more robust autonomous software.

• Why multiple agents — Motivations and tradeoffs of distributed agents.
• Manager–worker pattern — Coordinating specialized roles through delegation.
• Inter-agent communication — Passing messages and sharing structured state.
• Long-running autonomy — Designing agents that operate over time.
• Failure and control — Detecting errors and maintaining safe execution.
• Capstone — Designing and implementing a complete multi-agent system.