GNOT: Generative Node Orchestration Technology — A Minimal-Seed Architecture for LLM-Native Distributed Execution

We present Generative Node Orchestration Technology (GNOT), a distributed execution mesh designed to be orchestrated natively by large language models. GNOT exposes a uniform POST /action interface across all nodes: an LLM — whether a cloud-hosted assistant such as Claude, a self-hosted model, or any tool-calling-capable system — can drive the full mesh by issuing structured action requests against this single endpoint, with no framework SDK, no workflow DSL, and no pre-written automation code. The system bootstraps from a single seed node carrying three irreducible primitive capabilities (read_file, write_file, execute_command) and propagates itself across any reachable machine over HTTP. Nodes optionally host a configurable LLM provider for embedded orchestration via POST /intent; however, the external LLM model is the primary and production-validated interaction mode. Key architectural contributions: (1) a minimal-seed bootstrap model in which the LLM provisions new compute nodes using only three primitives; (2) a BGP-inspired route advertisement protocol enabling multi-hop NAT traversal without topology prior knowledge; (3) a transparent push/pull delivery abstraction making network topology invisible to the LLM caller; (4) a per-session AES-256-GCM credential system with key derivation scoped to each session; and (5) a lazy evaluation pattern applied uniformly to staleness detection, job timeouts, and file expiry. GNOT has been deployed in production across four heterogeneous Linux nodes spanning two NAT layers, with validated use cases including cross-network database migration, Telegram-based CRM integration, autonomous software development, and AI-driven YouTube content publishing. All use cases were accomplished through a single natural-language prompt with no pre-written workflow code. Reference implementation: https://github.com/gnot-io/gnot (Apache 2.0)