RuFlo is an agent meta-harness designed to extend the capabilities of Claude Code and Codex by providing an execution layer for complex AI orchestration. Built on a Rust-based engine, the framework transforms static models into collaborative swarms through a hierarchical architecture involving a router, specialized agents, and a sophisticated orchestration layer. Key technical features include a self-learning architecture using SONA neural patterns and a high-performance memory system powered by HNSW-indexed AgentDB, which has demonstrated retrieval speeds 1.9x to 4.7x faster than brute-force methods. The platform supports over 100 specialized agents and 210 tools via the Model Context Protocol (MCP), enabling tasks ranging from automated testing with Playwright to complex architectural reasoning. RuFlo introduces a zero-trust federation layer for secure, cross-machine agent collaboration, utilizing mTLS and ed25519 for identity verification alongside a PII-gated data flow to prevent data leakage. Additionally, it incorporates a Goal-Oriented Action Planning (GOAP) system that uses A* search to decompose high-level natural language goals into executable, state-space trajectories. Deployment is flexible, offering a CLI-based full loop with 98 agents and 60+ commands, or a lightweight Claude Code plugin.