RuFlo Marketplace: Claude Code native agents, swarms, workers, and MCP tools for continuous software engineering
npx claudepluginhub ruvnet/rufloEnterprise AI agent orchestration plugin with 150+ commands, 74+ specialized agents, SPARC methodology, swarm coordination, GitHub integration, and neural training capabilities
Claude Code marketplace entries for the plugin-safe Antigravity Awesome Skills library and its compatible editorial bundles.
Production-ready workflow orchestration with 79 focused plugins, 184 specialized agents, and 150 skills - optimized for granular installation and minimal token usage
Directory of popular Claude Code extensions including development tools, productivity plugins, and MCP integrations
Deploy 60+ specialized agents in coordinated swarms with self-learning capabilities, fault-tolerant consensus, and enterprise-grade security.
Ruflo is a comprehensive AI agent orchestration framework that transforms Claude Code into a powerful multi-agent development platform. It enables teams to deploy, coordinate, and optimize specialized AI agents working together on complex software engineering tasks.
User → Ruflo (CLI/MCP) → Router → Swarm → Agents → Memory → LLM Providers
↑ ↓
└──── Learning Loop ←──────┘
flowchart TB
subgraph USER["👤 User Layer"]
U[User]
end
subgraph ENTRY["🚪 Entry Layer"]
CLI[CLI / MCP Server]
AID[AIDefence Security]
end
subgraph ROUTING["🧭 Routing Layer"]
QL[Q-Learning Router]
MOE[MoE - 8 Experts]
SK[Skills - 42+]
HK[Hooks - 17]
end
subgraph SWARM["🐝 Swarm Coordination"]
TOPO[Topologies<br/>mesh/hier/ring/star]
CONS[Consensus<br/>Raft/BFT/Gossip/CRDT]
CLM[Claims<br/>Human-Agent Coord]
end
subgraph AGENTS["🤖 60+ Agents"]
AG1[coder]
AG2[tester]
AG3[reviewer]
AG4[architect]
AG5[security]
AG6[...]
end
subgraph RESOURCES["📦 Resources"]
MEM[(Memory<br/>AgentDB)]
PROV[Providers<br/>Claude/GPT/Gemini/Ollama]
WORK[Workers - 12<br/>ultralearn/audit/optimize]
end
subgraph RUVECTOR["🧠 RuVector Intelligence Layer"]
direction TB
subgraph ROW1[" "]
SONA[SONA<br/>Self-Optimize<br/><0.05ms]
EWC[EWC++<br/>No Forgetting]
FLASH[Flash Attention<br/>2.49-7.47x]
end
subgraph ROW2[" "]
HNSW[HNSW<br/>150x-12,500x faster]
RB[ReasoningBank<br/>Pattern Store]
HYP[Hyperbolic<br/>Poincaré]
end
subgraph ROW3[" "]
LORA[LoRA/Micro<br/>128x compress]
QUANT[Int8 Quant<br/>3.92x memory]
RL[9 RL Algos<br/>Q/SARSA/PPO/DQN]
end
end
subgraph LEARNING["🔄 Learning Loop"]
L1[RETRIEVE] --> L2[JUDGE] --> L3[DISTILL] --> L4[CONSOLIDATE] --> L5[ROUTE]
end