Agents assemble. One agent is a hire. Many agents are a workforce.

Short summary

Multi-agent systems decompose AI tasks across specialized agents, solving monolithic prompt failures like tone drift and hallucinated tool calls. Six canonical orchestration patterns—Sequential, Concurrent, Group Chat, Handoff, Magnetic, Hierarchical—scale from simple to complex. Incident-response is the core use case, with end-to-end Semantic Kernel code included.

• •Six canonical agent orchestration patterns for building multi-agent systems
• •Solves monolithic prompt failures: tone drift, forgotten constraints, hallucinated tool calls
• •Incident-response with triage, investigation, debate, remediation, and communication agents

Generated with AI, which can make mistakes.