1. Introduction

Traditional AI development is limited by centralized control, expensive cloud services, and walled-off ecosystems. Unify AI challenges this status quo by decentralizing agent hosting and execution, allowing anyone to deploy, share, and monetize AI intelligence in a permissionless environment.

Through the Model Context Protocol (MCP), AI agents become interoperable, composable, and capable of contextual reasoning across distributed networks. Combined with a mesh of compute providers and tokenized incentives, Unify AI aims to democratize access to autonomous intelligence.