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

说明与用途

在Android上本地运行的17代理群“Nexus”，使用TensorFlow Lite实现高效距离计算，采用共享内存进行通信。

问题

Run a complex multi-agent system locally on an Android device while maintaining performance and privacy.

结果

17‑agent swarm runs locally on Android at ~30 FPS, demonstrating that complex multi‑agent behavior can be achieved offline with modest hardware.

工作流

• 1. Set up Python via Pydroid 3 on Android.
• 2. Implement agent attributes (position, velocity, energy, perception radius, weights).
• 3. Code cohesion, separation, alignment functions in NumPy.
• 4. Create a global list for shared memory and let agents read nearby states directly.
• 5. Add threading to parallelize agent updates.
• 6. Profile performance; identify distance calculations as bottleneck.
• 7. Train a small TensorFlow model to approximate Euclidean distance.
• 8. Convert model to TensorFlow Lite and integrate into agent loop.
• 9. Run swarm at ~30 FPS, monitor resource usage.

证据

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

来源

TensorFlow Lite is Google’s framework for running TensorFlow models on mobile and embedded devices. It’s optimized for size and speed.

来源

I trained a simple TensorFlow model to approximate the distance between two points.

来源