multi-agent-patterns

It applies supervisor, swarm, and hierarchical architectures to coordinate distributed agents. Supervisor patterns centralize planning and synthesis, while peer-to-peer swarm handoffs enable parallel exploration without central bottlenecks for scalable execution.

Use explicit context isolation to prevent leakage across subtasks and robust handoff protocols for failure mitigation. This ensures resilient coordination across distributed agents and maintains isolation strategies during complex hierarchical execution.

It separates subtask processing environments to prevent leakage across distributed agents. Explicit isolation strategies ensure that swarm members and supervisors maintain distinct contexts, reducing token contention during parallel exploration.

Limitations arise from single-context bottlenecks and token contention during large-scale project execution. Explicit handoff protocols and context isolation strategies mitigate these failures by distributing workloads across hierarchical or swarm architectures.

Hierarchical planning suits large-scale projects requiring structured task decomposition and scalable coordination. It centralizes planning while isolating context across multi-agent layers, preventing leakage and reducing token contention during execution.