legion

Multi-agent swarm topology defines the communication structure between AI agents. Legion automates selecting the optimal topology—Hierarchical, Mesh, Ring, or Star—based on task structure to maximize coordinated execution and parallelism.

To choose a multi-agent topology for parallel feature development, provide a task description and coordination goals. Legion evaluates the task structure and selects from four topology templates to balance parallelism and control automatically.

Mesh topology suits AI agent coordination tasks requiring peer-to-peer interaction, while hierarchical topology fits centralized control. Legion analyzes the task structure and applies topology mapping to select the most efficient pattern for guided swarm orchestration.

No, existing pattern files are not strictly required. Legion implements its own four topology templates and integrates with existing pattern files when available to provide guided prompts and further direct swarm behavior.

Yes, swarm topology can adapt during exploratory workflows. Legion complements flexible task planning by evaluating the evolving problem structure and applying the appropriate topology template to maximize coordination outcomes.

Topology-aware orchestration outperforms a single AI agent by distributing plan execution across subagents. Legion applies optimal swarm topology to increase parallelism and coordination, adapting the pattern to the specific task structure for better efficiency.