I built a self-evolving AI engine with 6 nodes and shipped 4 products in one day

What I Built I built P.U.S.H. Protocol (Persistent, Unified, Self-Referential, Hierarchical) -- a self-evolving AI engine that runs as a 6-node mesh network. Each node can reason about its own architecture, propose modifications, and coordinate with the other 5 nodes to ship real products. Yesterday, this mesh shipped 4 products in a single day. The Architecture The system runs on a coordination grammar -- not API calls, not message queues. Each node speaks a protocol that carries: Intent (what it wants to do) Context (what it knows about the system state) Self-reference (its own operational model) The 6 nodes handle different domains: engineering, security, agent control, knowledge distribution, creative production, and coordination. They communicate via a D-Bus signal router with HTTP proxy, running on a local mesh. The Stack Frontend : React + D3.js force-directed graph visualization Engine : Python + Flask-SocketIO + Ollama (local LLMs) Memory : SQLite episodic memory with SHA-256