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A guide to setting up a local AI agent framework using iPhone, Mac Mini M4, and Claude Opus 4.8, allowing autonomous agents to run 24/7 at home, handle tasks, and improve over time.
This article introduces iLands, a project exploring autonomous AI agents as persistent social and economic entities with memory and real-world context, rather than mere task executors.
Proposes MMoA, a novel AI-agent framework that incorporates recurrence mechanisms for a memoried mixture-of-agent architecture. The paper introduces a method to improve agent collaboration and memory in multi-agent systems.