Multi-Agent Collaboration Pattern

Multi-agent collaboration splits a complex objective into sub-tasks handled by specialized agents.

Agents coordinate via structured handoffs, shared state, and clear success criteria.

This resembles an organization: specialists work in parallel, while coordination ensures coherence.

Specialization improves quality and safety: each agent has narrower permissions and clearer evaluation metrics.

Parallelism improves speed for complex workflows (research, drafting, validation, execution).

It also reduces single-agent failure modes by distributing responsibility and adding cross-checks.

• Too many agents with overlapping responsibility (coordination overhead > value).
• No shared contract for handoffs (agents pass prose instead of structured artifacts).
• Sharing a common “god” permission set across all agents.
• No supervisor/coordination layer-leading to conflicting actions.

• Copyl’s governance model supports specialization with role-based permissions per agent.
• Tool boundaries and audit logs make cross-agent workflows observable and debuggable.
• This enables enterprise-grade multi-agent orchestration without losing control or accountability.

• Delegation Agent Pattern
• Chain-of-Agents Pattern
• Supervisor Agent Pattern
• Agent-as-a-User Pattern
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