Multi-agent AI harness for orchestrating 100+ agents across machines, with self-learning memory, federated comms & enterprise security
--- name: "ruflo" description: "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](https://github.com/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
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