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

说明与用途

问题：在 Android 上无云端运行多智能体 AI 系统。方案：17 个专用代理，使用 Pyodide、LLaMA.cpp 和 4‑bit Mistral 7B 本地运行。结果：可用原型，但速度慢、资源占用高。

问题

Running a multi‑agent system on a mobile device without cloud dependence, while maintaining privacy and resilience.

结果

A proof‑of‑concept 17‑agent AI swarm runs on an Android phone, demonstrating local, distributed intelligence, but is slow, resource intensive, and occasionally crashes the device.

工作流

• Install Termux and dependencies
• Set up Pyodide in a web view
• Download 4‑bit quantized Mistral 7B model
• Define agent personas in Python
• Implement generate_response and agent_interaction functions
• Create JavaScript sendMessageToAgent to bridge to Pyodide
• Load model and run agents in message‑passing loop
• Handle output flushing with sys.stdout.flush()
• Test agents with sample queries

证据

I’ve been obsessively tinkering with running a multi‑agent system – a swarm of 17 individual AI “agents” – entirely on my Android phone.

来源

Pyodide allows you to run Python inside a web browser, using WebAssembly (WASM).

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I used a 4-bit quantized version of Mistral 7B.

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This project was not easy. Here were the major hurdles: Performance, Memory Management, Pyodide Limitations.

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