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Ruflo Methodology (Library) reference
Ruflo v3 is a multi-agent orchestration platform deploying 60+ specialized agents in coordinated swarms with self-learning and self-optimizing architecture. It features Q-Learning-based smart routing, hierarchical agent topologies (Queen/Worker), multiple consensus protocols, and the RuVector intelligence layer for continuous self-improvement.
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Ruflo Methodology
**Source**: ruvnet/ruflo by ruvnet **Category**: Multi-Agent Swarm Orchestration / Self-Learning Architecture **License**: See upstream repository
Overview
Ruflo v3 is a multi-agent orchestration platform deploying 60+ specialized agents in coordinated swarms with self-learning and self-optimizing architecture. It features Q-Learning-based smart routing, hierarchical agent topologies (Queen/Worker), multiple consensus protocols, and the RuVector intelligence layer for continuous self-improvement.
Core Principles
- **Smart Routing** - Q-Learning router selects optimal execution path (Booster/Medium/Complex)
- **Swarm Coordination** - Topology-aware agent deployment with anti-drift enforcement
- **Weighted Consensus** - Queen agents have 3x voting weight; supports Raft/Byzantine/Gossip/CRDT
- **Self-Optimization** - SONA adaptation with EWC++ anti-forgetting and ReasoningBank learning
- **Security First** - AIDefence layer with prompt injection blocking and sandboxed execution
- **Agent Booster** - WASM fast-path for simple transforms (352x faster, $0 cost)
Process Files
| Process | File | Description | Task Count |
|---|---|---|---|
| Swarm Orchestrator | ruflo-orchestrator.js | Main pipeline: routing -> swarm -> execution -> consensus -> verify | 8 |
| Swarm Coordination | ruflo-swarm-coordination.js | Topology, consensus, anti-drift, agent lifecycle | 8 |
| RuVector Intelligence | ruflo-intelligence.js | Pattern extraction, ReasoningBank, SONA, knowledge graph | 8 |
| Smart Task Routing | ruflo-task-routing.js | Complexity assessment, Agent Booster, Q-Learning, MoE | 7 |
| Security Audit | ruflo-security-audit.js | AIDefence: injection, validation, SAST, sandbox, compliance | 8 |
Skills Catalog
| Skill | Directory | Description |
|---|---|---|
| swarm-orchestration | skills/swarm-orchestration/ | Multi-agent swarm formation and coordination |
| smart-routing | skills/smart-routing/ | Complexity-based task routing and model selection |
| consensus-mechanisms | skills/consensus-mechanisms/ | Raft/Byzantine/Gossip/CRDT consensus |
| self-optimization | skills/self-optimization/ | SONA adaptation and ReasoningBank learning |
| vector-memory | skills/vector-memory/ | HNSW vector search and knowledge graph |
| agent-booster | skills/agent-booster/ | WASM-based instant code transforms |
| anti-drift | skills/anti-drift/ | Hierarchical coordination and drift detection |
| security-hardening | skills/security-hardening/ | AIDefence layer and sandboxed execution |
Agents Catalog
| Agent | Directory | Role |
|---|---|---|
| strategic-queen | agents/strategic-queen/ | Long-term planning and goal setting |
| tactical-queen | agents/tactical-queen/ | Execution coordination and resource allocation |
| adaptive-queen | agents/adaptive-queen/ | Real-time optimization and adaptation |
| swarm-coordinator | agents/swarm-coordinator/ | Topology management and consensus |
| coder | agents/coder/ | Code implementation and modification |
| tester | agents/tester/ | Test creation and execution |
| reviewer | agents/reviewer/ | Code quality analysis |
| architect | agents/architect/ | System design and architecture |
| security-auditor | agents/security-auditor/ | Vulnerability detection and hardening |
| optimizer | agents/optimizer/ | Performance tuning and token optimization |
Architecture Layers
User Layer (CLI/MCP) -> Routing Layer (Q-Learning + 8 MoE) -> Swarm Coordination (Topology + Consensus) -> Agent Execution (Queen + Workers) -> Intelligence Layer (RuVector/SONA) -> Resource Layer (Memory/Workers)Task-to-Agent Mapping
| Task Type | Agents |
|---|---|
| Bug Fix | swarm-coordinator + coder + tester |
| Feature | swarm-coordinator + architect + coder + tester + reviewer |
| Refactor | swarm-coordinator + architect + coder + reviewer |
| Performance | swarm-coordinator + optimizer + coder |
| Security | swarm-coordinator + security-auditor + coder |
Swarm Topologies
| Topology | Best For | Communication |
|---|---|---|
| Mesh | Small swarms (<8), high collaboration | All-to-all |
| Hierarchical | Large swarms, clear delegation | Queen-to-Workers |
| Ring | Pipeline/sequential tasks | Neighbor-to-neighbor |
| Star | Fan-out/fan-in patterns | Central coordinator |
Consensus Protocols
| Protocol | Fault Model | Quorum |
|---|---|---|
| Raft | Crash faults | n/2 + 1 |
| Byzantine | Byzantine faults | 2n/3 + 1 |
| Gossip | Partition tolerant | Eventual |
| CRDT | Always convergent | None needed |
Anti-Drift Mechanisms
- Hierarchical coordinator checkpoints every 2 subtasks
- Shared memory coherence validation
- Role specialization enforcement
- Short task cycles with bounded execution windows
- Drift scoring with configurable threshold (default: 0.3)
Quality Gates
1. **Anti-Drift Checkpoint** - Drift score < threshold (blocking) 2. **Consensus Voting** - Weighted majority with Queen 3x (blocking) 3. **Output Verification** - Quality score >= threshold (blocking, max 3 attempts) 4. **Security Audit** - No critical vulnerabilities (blocking)