PATTERN Cited by 1 source
Phased agent topology¶
Pattern¶
Change a multi-agent cluster's peer-read topology as the run moves from open-ended exploration to output alignment: begin with limited local visibility, concentrate around active threads, and use broad visibility only when a shared final form is wanted. (Source: sources/2026-08-11-aws-scaling-patterns-for-self-organizing-multi-agent-clusters-with-kiro)
Why phase the topology¶
A single topology makes a permanent choice between diversity and convergence. In the kiro-flock model, an amorphous ring gives agents differentiated context and bounded cost; a swarm shifts attention toward active artifacts; a mesh accelerates a small group's agreement but makes early signals disproportionately influential. Phasing keeps each topology in the part of the run where its downside is least costly.
Guardrails¶
- Enter mesh only after competing approaches have enough time to mature.
- Increase the swarm recency set as the cluster grows, or hot spots will attract most work.
- Define an observable exit condition, such as stable synthesis artifacts plus idle neighbors; topology change itself does not prove correctness.
- Use an external validation gate when the final artifact has safety or correctness requirements.
Seen in¶
- sources/2026-08-11-aws-scaling-patterns-for-self-organizing-multi-agent-clusters-with-kiro — AWS explicitly recommends amorphous → swarm → mesh and exposes the algorithms as runtime-swappable in kiro-flock.