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RadarOS Edge

Run AI agents on constrained hardware like Raspberry Pi — with IoT toolkits, local LLM inference via Ollama, and optional cloud synchronization. No other Node.js/TypeScript agent framework has native edge/IoT support. RadarOS can run on a Pi 4 with 2 GB RAM using a 1B-parameter model.

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Why Edge?

  • Local inference — keep data on-device with Ollama and small models
  • Hardware control — GPIO pins, I2C sensors, camera, BLE from your agent
  • Offline-first — queue events locally, sync when cloud is available
  • Resource-aware — automatic throttling when CPU is hot or memory is low

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Quick Start

npm install @radaros/edge

import { Agent, ollama } from "@radaros/core";
import {
  SystemToolkit,
  GpioToolkit,
  EdgeRuntime,
  edgePreset,
  ensureOllama,
  registerEdgeToolkits,
} from "@radaros/edge";

// Register edge toolkits in the catalog (for Admin UI)
registerEdgeToolkits();

// Ensure Ollama is running
await ensureOllama();

const preset = edgePreset("pi5-8gb");

const system = new SystemToolkit();
const gpio = new GpioToolkit({ chipNumber: 4, allowedPins: [17, 27, 22] });

const agent = new Agent({
  name: "pi-agent",
  model: ollama(preset.recommendedModel),
  instructions: "You control a Raspberry Pi. Monitor system health and control GPIO pins.",
  tools: [...system.getTools(), ...gpio.getTools()],
});

const runtime = new EdgeRuntime({ preset, agent });
await runtime.start();

const result = await agent.run("What is the CPU temperature and memory usage?");
console.log(result.finalOutput);

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Supported Devices

DeviceRAMRecommended ModelPreset ID
Pi 4 (2 GB)2 GBTinyLlama 1.1Bpi4-2gb
Pi 4 (4 GB)4 GBTinyLlama 1.1Bpi4-4gb
Pi 4 (8 GB)8 GBLlama 3.2 1Bpi4-8gb
Pi 5 (4 GB)4 GBLlama 3.2 1Bpi5-4gb
Pi 5 (8 GB)8 GBPhi-3 Mini 3.8Bpi5-8gb

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Package Structure

@radaros/edge
├── Toolkits
│   ├── SystemToolkit     — CPU, memory, disk, network (zero deps)
│   ├── GpioToolkit       — GPIO read/write/watch/PWM
│   ├── CameraToolkit     — libcamera capture/record/stream
│   ├── SensorToolkit     — I2C sensors (BME280, BMP180)
│   ├── BleToolkit        — Bluetooth Low Energy
│   └── ServoToolkit      — Hobby servo control
├── Runtime
│   ├── EdgeRuntime       — Watchdog, resource monitor, health endpoint
│   ├── edgePreset()      — Device-specific configuration
│   └── Ollama helpers    — ensureOllama, pullModel, recommendModel
└── Sync
    └── EdgeCloudSync     — Heartbeat, config pull, offline queue

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Hardware Dependencies

All hardware libraries are optional peer dependencies. Install only what you need: 
# GPIO (Pi 5 compatible)
npm install node-libgpiod

# I2C sensors
npm install i2c-bus

# Bluetooth BLE
npm install @stoprocent/noble
The SystemToolkit and CameraToolkit have zero native dependencies — they read from /proc/, /sys/, and shell out to libcamera-still.