# AMEVA-Cluster Full Technical Specification (v1.0.0)
Official Documentation & Deep Architecture Reference for Autonomous AI Agents.

## 1. System Overview
Symmetric Disaggregated Mobile RAM Pooling & On-Device AI Acceleration Runtime with Compute-Memory Decoupling
AMEVA-Cluster unifies idle LPDDR memory across multiple heterogeneous mobile smartphones into a single disaggregated memory pool using a symmetric master/worker binary.
Compute is fully isolated on a single flagship GPU, while edge phones serve strictly as passive RAM caches, completely preventing thermal throttling and Android Low Memory Killer (LMK) SIGKILL terminations.
Features built-in storage-assisted hybrid failover to local UFS 3.1 flash mmap streaming and fast-path HMAC mutual authentication Guard proxies.

## 2. Package & Installation
- PyPI: ameva-cluster
- Command: pip install ameva-cluster
# or
npm install -g @ameva/cluster
- Repository: https://github.com/uno-km/ameva-cluster