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Multi-Agent Systems

Architecture patterns for coordinating multiple AI agents with clear roles, shared state, tools, and failure handling.

Execution model

A useful multi-agent system is not a chat room. It is a runtime with bounded roles, typed handoffs, termination rules, and inspectable state transitions.

Reliability model

The hard work is retries, delegation limits, typed tool failures, observability, and recovery after partial execution.

Related projects

Shipped systems where this concept runs in production.