Creative & Designπ€claudeπ¬gptπuniversal
π Claude-Flow v3: Enterprise AI Orchestration Platform
π The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, distributed swarm intelligence, RAG integration, and native Claude Code support via MCP protocol. Ranked #1 in agent-based frameworks.
Quick Start
Install this Skill
npx skills add ruvnet/claude-flow# π Claude-Flow v3: Enterprise AI Orchestration Platform
<div align="center">

[](https://github.com/ruvnet/claude-flow)
[](https://www.npmjs.com/package/claude-flow)
[](https://www.npmjs.com/package/claude-flow)
[](https://www.npmjs.com/package/claude-flow)
[](https://github.com/ruvnet/claude-flow)
[](https://discord.com/invite/dfxmpwkG2D)
[](https://ruv.io)
[](https://opensource.org/licenses/MIT)
[](https://www.npmjs.com/package/ruvector)
[](https://www.npmjs.com/package/agentic-flow)
[](https://www.reddit.com/r/aipromptprogramming/)
**Production-ready multi-agent AI orchestration for Claude Code**
*Deploy 60+ specialized agents in coordinated swarms with self-learning capabilities, fault-tolerant consensus, and enterprise-grade security.*
</div>
## Overview
Claude-Flow 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.
### Architecture
```
User β Claude-Flow (CLI/MCP) β Router β Swarm β Agents β Memory β LLM Providers
β β
βββββ Learning Loop ββββββββ
```
<details>
<summary>π <strong>Expanded Architecture</strong> β Full system diagram with RuVector intelligence</summary>
```mermaid
flowchart TB
subgraph USER["π€ User Layer"]
U[User]
end
subgraph ENTRY["πͺ Entry Layer"]
CLI[CLI / MCP Server]
AID[AIDefence Security]
end
subgraph ROUTING["π§ Routing Layer"]
QL[Q-Learning Router]
MOE[MoE - 8 Experts]
SK[Skills - 42+]
HK[Hooks - 17]
end
subgraph SWARM["π 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["π€ 60+ Agents"]
AG1[coder]
AG2[tester]
AG3[reviewer]
AG4[architect]
AG5[security]
AG6[...]
end
subgraph RESOURCES["π¦ Resources"]
MEM[(Memory<br/>AgentDB)]
PROV[Providers<br/>Claude/GPT/Gemini/Ollama]
WORK[Workers - 12<br/>ultralearn/audit/optimize]
end
subgraph RUVECTOR["π§ 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/>PoincarΓ©]
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["π Learning Loop"]
L1[RETRIEVE] --> L2[JUDGE] --> L3[DISTILL] --> L4[CONSOLIDATE] --> L5[ROUTE]
end
U --> CLI
CLI --> AID
AID --> QL & MOE & SK & HK
QL & MOE & SK & HK --> TOPO & CONS & CLM
TOPO & CONS & CLM --> AG1 & AG2 & AG3 & AG4 & AG5 & AG6
AG1 & AG2 & AG3 & AG4 & AG5 & A
... (truncated)Repository
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