multi-agent

Multi-agent orchestration coordinates complex workflows by assigning specific roles to AI agents, enabling them to collaborate in parallel on intricate, interdependent tasks like large-scale codebase refactoring.

Stigmergy is an indirect communication mechanism inspired by ant colonies where agents exchange information through task metadata pheromones, guiding behavior and decision-making without direct messaging.

You need multi-agent orchestration for complex, multi-faceted tasks exceeding a single agent's capacity, such as refactoring large codebases with interdependent modules requiring concurrent exploration and implementation.

You define overall goals and specific roles like Scout, Worker, Soldier, and Lead, which manages the execution flow from initial reconnaissance through parallel implementation to final conflict resolution.

Yes, adaptive concurrency dynamically adjusts the number of active agents based on task complexity and quantity, featuring built-in overload protection to maintain workflow stability under heavy demands.

Conflict resolution is handled by the lead agent role within the orchestration framework, which coordinates parallel workers and integrates changes to maintain consistency across interdependent modules.