Skill: ruflo — AI Agent Orchestration Platform
Executable: ruflo (installed at ~/.npm-global/bin/ruflo)
Version: v3.7.0-alpha.34
Source: ruv.io / github.com/ruvnet/claude-flow
Emoji: 🔮
What It Does
ruflo is an enterprise AI agent orchestration platform — deploy 60+ specialized agents in coordinated swarms with self-learning, fault-tolerant consensus, vector memory, and MCP integration.
Core capabilities:
- Agent orchestration — spawn, coordinate, and manage multi-agent swarms
- Vector memory — semantic search over agent memory with HNSW indexing (150x–12,500x faster)
- MCP server — Model Context Protocol server management
- Self-learning hooks — intelligent workflow automation
- Guidance Control Plane — compile, retrieve, enforce, and optimize guidance rules
- Autopilot — persistent swarm completion (keeps agents working until ALL tasks done)
- hive-mind — Queen-led consensus-based multi-agent coordination
- Flash Attention — 2.49x–7.47x speedup for embedding operations
When to Use
- You need to orchestrate multiple specialized agents working in coordination
- You want persistent autonomous task completion (autopilot mode)
- You need semantic search over agent memory/knowledge
- You want to route tasks intelligently to specialized agents (Q-Learning-based routing)
- You need MCP server integration for external tools
- You want consensus-based multi-agent decision making (hive-mind)
Key Commands
| Command | Description |
|---|---|
ruflo init |
Initialize RuFlo in current directory |
ruflo start |
Start the orchestration system |
ruflo status |
Show system status |
ruflo agent spawn -t <type> |
Spawn a typed agent |
ruflo swarm init --v3-mode |
Initialize V3 swarm |
ruflo memory search -q "<query>" |
Semantic memory search |
ruflo mcp start |
Start MCP server |
ruflo hive-mind |
Queen-led multi-agent consensus |
ruflo guidance |
Guidance Control Plane management |
ruflo autopilot |
Persistent swarm until all tasks complete |
ruflo providers |
Manage AI providers/models |
ruflo analyze |
Code analysis, diff classification, change risk |
ruflo route |
Intelligent task-to-agent routing (Q-Learning) |
ruflo hooks |
Self-learning hooks system |
ruflo config |
Configuration management |
ruflo doctor |
System diagnostics and health checks |
ruflo neural |
Neural pattern training, MoE, Flash Attention |
Architecture (V3)
- 15-agent hierarchical mesh coordination
- AgentDB with HNSW indexing
- Unified SwarmCoordinator engine
- Event-sourced state management
- DDD architecture
Examples
Spawn a coder agent
ruflo agent spawn -t coder
Initialize a V3 swarm
ruflo swarm init --v3-mode
Semantic memory search
ruflo memory search -q "auth patterns"
Start MCP server
ruflo mcp start
System diagnostics
ruflo doctor
Intelligent task routing
ruflo route --task "analyze this codebase"
Autopilot: persistent swarm
ruflo autopilot --goal "complete all open PR reviews"
Integration Notes
Path: ~/.npm-global/bin/ruflo
Config: ~/.ruflo/ or project-local .ruflo/
ruflo complements OpenClaw for scenarios requiring:
- Multi-agent coordination — spawn specialized ruflo agents for complex tasks
- Enhanced memory — leverage ruflo's vector memory for semantic search
- Swarm workflows — use autopilot + hive-mind for autonomous task completion
- Code analysis — route complex analysis tasks via
ruflo analyze
Skill Metadata
| Field | Value |
|---|---|
| Type | External tool / Agent orchestration |
| Installed | Yes (npm-global) |
| Runtime | Node.js ESM |
| Author | ruv.io |
| Last Verified | 2026-05-18 |