draft-nunez-mfop-federated-ai-orchestration

Mahalaxmi Federation and Orchestration Protocol (MFOP)

groupnone stateactive pages18 rev00 expires2026-09-25 canonicalhttps://datatracker.ietf.org/doc/draft-nunez-mfop-federated-ai-orchestration/
This document defines the Mahalaxmi Federation and Orchestration Protocol (MFOP), a protocol for coordinating parallel artificial intelligence (AI) agent execution across a distributed network of heterogeneous compute nodes. MFOP specifies node identity and registration, capability advertisement, compliance-zone-aware job routing using database-layer enforcement, semantic input partitioning, cryptographically signed billing receipts, configurable economic settlement, and a layered security model comprising AI safety policy validation and execution sandbox isolation. The protocol is designed to operate across three simultaneous deployment configurations: private enterprise meshes, managed cloud pools, and open community marketplaces. MFOP is agnostic to the underlying AI model provider.