Android Node

Convert Android phones running Termux into local Ollama inference nodes for AI task processing without cloud or special hardware.

Turn any Android phone into an inference compute node for your AI agent.

What it does

Provisions Android phones as Ollama inference endpoints. Any phone running Termux becomes a worker your agent can route jobs to — no cloud, no subscription, no special hardware. The phone on your desk, the spare in your drawer, all of them.

How it works

1. Phone runs Ollama via Termux (setup takes ~5 minutes)
2. Pi/server connects to phone over local WiFi
3. phone_nodes.py manages discovery, health checks, and failover
4. Router dispatches inference jobs to healthy nodes automatically

Setup

On the phone (run in Termux)

bash

curl -s https://albionwakes.com/phone_setup.sh | bash
bash ~/start_node.sh

On your server (register the phone)

bash

python3 phone_nodes.py register myphone 192.168.1.42
python3 phone_nodes.py status

Router integration

python

import phone_nodes

# In your provider dispatch:
elif provider == 'phone':
    return phone_nodes.call(messages)

Node registry

Stored in ~/albion_memory/phone_nodes.json:

json

[
  {"name": "pixel6", "url": "http://192.168.1.42:11434", "model": "qwen2.5:0.5b", "enabled": true}
]

Default model

qwen2.5:0.5b — 394MB, runs on any phone with 1GB+ free RAM. Fast. Swap for qwen2.5:1.5b (1GB) or llama3.2:1b (1.3GB) if the phone has headroom.

Files

• phone_nodes.py — node registry, health checker, inference caller
• setup.sh — Termux provisioning script (run on phone)