Swarm Orchestration

Swarm orchestration coordinates multiple specialized agents to execute subtasks concurrently across defined communication topologies (mesh, hierarchical, or adaptive). Initialize a swarm, assign agents distinct roles, and they automatically distribute work and share context through centralized memory, accelerating complex workflows like software development and testing.

Swarm orchestration supports three communication topologies: mesh topology connects all agents peer-to-peer for symmetric collaboration; hierarchical topology routes tasks through a supervisor for structured control; adaptive topology adjusts connections based on workload and fault conditions, optimizing both coordination efficiency and resilience.

Swarm orchestration uses intelligent memory sharing—a centralized memory system that enables agents to access shared context, state, and previous decisions. This ensures coordinated progress across the swarm, preventing duplicate work and enabling agents to build on each other's outputs seamlessly.

Yes. Swarm orchestration provides built-in resiliency and fault tolerance across diverse agent types through automatic task redistribution, topology management, and telemetry APIs. If an agent fails, tasks are rebalanced across remaining agents without manual intervention.

When you spawn agents with defined roles (coder, tester, reviewer), swarm orchestration automatically manages task distribution to each agent's specialization, handles inter-agent communication via your chosen topology, and coordinates outputs through shared memory so all agents work toward a unified objective.

No. Swarm orchestration handles automatic task distribution and load balancing across agents internally. You define roles and topology; the system manages allocation, ensuring efficient parallel execution without custom balancing logic.