swarm-orchestration

Orchestrates multi-agent swarms with dynamic coordination, load balancing, and fault tolerance for scalable, distributed AI workflows.

• Orchestrates multi-agent swarms using agentic-flow
• Supports mesh, hierarchical, and adaptive topologies
• Enables parallel and pipeline task execution
• Facilitates shared memory and coordination across agents

• Automatic task distribution and load balancing
• Dynamic topology adaptation based on task complexity
• Fault tolerance with retry and fallback strategies
• Shared memory for state coordination across agents
• Performance monitoring with real-time metrics
• Supports parallel and pipeline execution modes
• Automatic coordination via hooks and memory
• Handles agent failures and reassigns tasks

1. 1.Initialize swarm with desired topology and agent count
2. 2.Spawn agents using predefined types or roles
3. 3.Orchestrate tasks with parallel or pipeline modes
4. 4.Share state via memory store and retrieve across agents
5. 5.Enable load balancing and resiliency settings
6. 6.Monitor metrics and adjust based on performance