What problem does it solve?
Swarm Orchestration helps you manage complex multi-agent work by distributing tasks across specialized agents while keeping coordination, workload balancing, and recovery mechanisms aligned with your goals.
Core Features & Use Cases
- Multi-topology coordination: Run swarms in mesh, hierarchical, or adaptive topologies to match problem structure and scale.
- Parallel, pipeline, and adaptive execution: Execute tasks concurrently, enforce stage dependencies, or let the swarm choose an execution strategy based on constraints.
- Shared memory and operational resiliency: Store and retrieve shared context across agents, monitor swarm performance, and handle agent failures with retries and task reassignments.
- Use case: Orchestrate a full feature delivery cycle—design, implement, test, and review—by routing each stage to the right agent type and synchronizing progress through hooks and shared memory.
Quick Start
Initialize a mesh swarm with up to 5 agents, spawn coder/tester/reviewer agents, then orchestrate a parallel task to build a REST API with tests.
