swarm-advanced

Advanced swarm patterns for research, development, and testing using distributed agent orchestration.

• Orchestrate distributed agents in research, dev, and testing
• Use mesh, hierarchical, star, or ring topologies for different workflows
• Spawn specialized agents with task-specific capabilities
• Automate complex workflows with parallel and adaptive strategies

• Mesh topology for peer-to-peer research and analysis
• Hierarchical for structured development workflows
• Star topology for centralized testing and validation
• Ring topology for sequential data pipelines
• Adaptive, balanced, specialized, and parallel agent strategies
• Parallel execution for faster information gathering
• Memory storage with TTL for knowledge management
• Cross-reference validation and knowledge graph creation

1. 1.Install Claude Flow and add MCP server
2. 2.Initialize swarm with desired topology and agent count
3. 3.Spawn agents with specific types and capabilities
4. 4.Orchestrate tasks using parallel or sequential strategies
5. 5.Store, retrieve, and validate findings in memory
6. 6.Generate reports via structured workflows