Ruflo

Multi-agent AI harness for orchestrating 100+ agents across machines, with self-learning memory, federated comms & enterprise security

Ruflo — Multi-Agent AI Harness (OpenClaw)

Orchestrate 100+ specialized AI agents across machines, teams, and trust boundaries. Ruflo adds coordinated swarms, self-learning memory, federated communications, and enterprise security for multi-agent collaboration.

Source: C:\Users\Harry\Downloads\ruflo\ Original: https://github.com/ruvnet/ruflo License: MIT

本技能基於 GitHub 上的 ruvnet/ruflo 修改與封裝。

Overview

Ruflo is a multi-agent AI harness that supports:

• Coordinated swarms — orchestrate agents across machines and trust boundaries
• Self-learning memory — agents persist and improve knowledge over time
• Federated communications — agents communicate across team and org boundaries
• Enterprise security — RBAC, audit logging, encryption for production deployments

Structure

ruflo/
├── ruflo/              # Core library
├── scripts/            # Utility scripts
├── plugins/            # Agent plugins
├── docs/               # Documentation
├── tests/              # Test suite
├── bin/                # CLI binaries
├── data/               # Agent data / memory stores
├── verification/       # Verification tools
└── v3/                 # Version 3 components

Usage in OpenClaw

When the user asks about multi-agent coordination, swarm orchestration, or agent memory:

1. Reference the Ruflo core for agent orchestration patterns
2. Use scripts from scripts/ for common operations
3. Consult docs/ for architecture and deployment guidance