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What MARL Gets Right About AI Agents: Coordination Patterns You Can Reuse in Real LLM Apps

Last Updated: October 16th, 2026

Multi-agent systems can consume many tokens when agents share unrestricted context, leading to higher token usage than necessary. MARL's centralized training with decentralized execution pattern gives you the blueprint: design coordination with full visibility, then run each agent with local…