I built a 17-agent AI swarm on my phone — here's how

说明与用途

在安卓手机上运行的17个代理组成的群体，使用Python、Termux和ZeroMQ进行通信，展示了移动设备上本地多代理系统的可行性。

问题

Running complex AI tasks on a phone is hard due to limited memory, constrained processing power, and unreliable background execution.

结果

The phone successfully runs a 17‑agent swarm that simulates sensor data, processes it, and triggers actuator actions, demonstrating that mobile devices can host decentralized AI systems.

工作流

• Install Termux and Python on the phone
• Set up ZeroMQ for inter‑process messaging
• Write sensor agents that publish simulated data
• Write processor agents that subscribe, process, and decide actions
• Write actuator agents that subscribe to processor outputs
• Run each agent as a separate Python process in Termux

证据

Running complex AI tasks on a phone presents some hurdles. Memory is limited, processing power is constrained (compared to a server), and background execution can be… unreliable.

来源

My tech stack ended up being surprisingly straightforward: Python, Termux, ZeroMQ, Simple AI Algorithms

来源

The swarm consists of 17 agents. Each agent has a specific 'role' and communicates with the others via ZeroMQ.

来源