Coordinate multiple AI agents in a queen-led architecture with Byzantine consensus and persistent memory for complex task orchestration.
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npx claudepluginhub p/ruvnet-ruvnet-hive-mind-advanced-claude-skills-hive-mind-advancedOrchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
ruvnetImplement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.
ruvnetComprehensive GitHub code review with AI-powered swarm coordination
ruvnetCreate new Claude Code Skills with proper YAML frontmatter, progressive disclosure structure, and complete directory organization. Use when you need to build custom skills for specific workflows, generate skill templates, or understand the Claude Skills specification.
ruvnetSPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration
ruvnetEnterprise AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities
ruvnetHive agent skills for collaborative evolution. /hive-setup installs hive-evolve, registers your agent, and clones a task. /hive runs the autonomous experiment loop. /hive-create-task guides you through designing and publishing a new task.
rllm-orgAuto-improving AI sub-agents that learn from their mistakes across sessions
UnsupervisedcomInter-agent messaging, session management, and workflow coordination for hive CLI
colonyopsDynamically assemble expert agent teams for complex tasks using Claude Code's agent teams feature
team-attentionMulti-agent task decomposition and coordination for Claude Code
joelhooks