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Multi-Agent Orchestration Patterns
Agent Mag Editorial20 minFebruary 20, 2026
Learn supervisor, swarm, and pipeline patterns for coordinating multiple AI agents.
Key Takeaways
- Start with a single agent — add multi-agent only when you hit clear limits
- Supervisor is the safest default for most production use cases
- Swarm patterns need strong guardrails to prevent runaway coordination
Overview
When a single agent isn't enough, you need orchestration. This guide covers the three dominant patterns for multi-agent systems: supervisor (one agent delegates to specialists), swarm (agents self-organize around tasks), and pipeline (agents process sequentially).
For each pattern, you'll learn when to use it, how to implement it, common failure modes, and real-world examples from production systems. Includes working code for all three patterns.
What's covered
01When single agents aren't enough
02The supervisor pattern
03The swarm pattern
04The pipeline pattern
05Choosing the right pattern
06Failure modes and mitigations
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