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Overview

PicoClaw’s ultra-lightweight design (< 10MB RAM, 1-second boot) makes it perfect for embedded devices. You can run a full AI assistant on hardware as cheap as $9.90!

Supported Devices

PicoClaw has been successfully deployed on:

Hardware Requirements

Minimum Requirements

  • CPU: Any single-core 0.6GHz+ processor (ARM, ARM64, RISC-V, x86_64)
  • RAM: 10MB minimum, 64MB recommended
  • Storage: 50MB for binary + config
  • Network: WiFi or Ethernet
  • RAM: 128MB+ for better performance
  • Storage: 256MB+ for logs and conversation history
  • Network: Stable connection for API calls

Architecture Support

PicoClaw supports multiple architectures:
  • ARM (32-bit) - ARMv7 and later
  • ARM64 (64-bit) - ARMv8/AArch64
  • RISC-V - RV64GC and compatible
  • x86_64 - Standard x64 processors

LicheeRV-Nano Deployment

About LicheeRV-Nano

The LicheeRV-Nano is an ultra-affordable RISC-V development board:
  • Price: $9.90
  • CPU: RISC-V C906 @ 1GHz
  • RAM: 64MB DDR2
  • Variants: E (Ethernet) or W (WiFi 6)
  • Use Case: Minimal home assistant, IoT gateway

Installation

  1. Download the RISC-V binary:
  1. Transfer to device (via SCP or USB):
  1. Initialize on device:
  1. Configure your API keys in ~/.picoclaw/config.json

Memory Optimization for 64MB RAM

For devices with only 64MB RAM, optimize your configuration:

NanoKVM Deployment

About NanoKVM

NanoKVM is a cost-effective KVM-over-IP solution:
  • Price: $30-100 (Standard/Pro)
  • CPU: ARM Cortex-A7/A53
  • RAM: 512MB - 1GB
  • Use Case: Remote server management with AI assistance

Installation

  1. Download the ARM64 binary:
  1. Transfer to NanoKVM:
  1. Set up as a service (see systemd guide)

Use Cases for NanoKVM

  • Automated monitoring: AI agent monitors server status
  • Alert analysis: AI interprets error messages and suggests fixes
  • Remote assistance: Chat with your KVM via Telegram for server status

MaixCAM Deployment

About MaixCAM

MaixCAM is an AI-enabled camera platform:
  • Price: 50(MaixCAM)/50 (MaixCAM) / 100 (MaixCAM2)
  • CPU: ARM Cortex-A7 @ 1GHz+
  • RAM: 256MB - 512MB
  • Camera: Built-in with AI processing
  • Use Case: Smart monitoring, security, computer vision

Installation

  1. Download the appropriate binary:
  1. Transfer to MaixCAM and install
  2. Configure for monitoring:

Use Cases for MaixCAM

  • Smart security: AI analyzes camera feeds and sends alerts
  • Object detection: Notify when specific objects are detected
  • Event logging: Natural language logs of camera events

Building from Source for Embedded Devices

For custom architectures or latest features:
Binaries will be in the build/ directory.

Performance Benchmarks

Memory Usage by Device

Boot Time

On a 0.6GHz single-core processor:
  • Cold start: < 1 second
  • Gateway mode: < 2 seconds
  • Memory footprint: Stable at < 10MB

Network Configuration

Embedded devices often need special network setup:

Static IP Configuration

For devices without DHCP:

WiFi Setup (for W variants)

Storage Management

Embedded devices often have limited storage:

Check Available Space

Clean Up Old Logs

Configure Log Rotation

Create /etc/logrotate.d/picoclaw:

Running as a Service

For always-on operation, see the systemd setup guide.

Troubleshooting

Out of Memory

  • Reduce max_tokens in config
  • Disable heartbeat for very low-memory devices
  • Enable swap if available

Slow Performance

  • Check network latency to API provider
  • Reduce max_tool_iterations
  • Use a faster LLM provider (e.g., Groq, Cerebras)

Device Reboots

  • Check power supply stability
  • Monitor temperature: cat /sys/class/thermal/thermal_zone0/temp
  • Ensure adequate cooling

Community Deployments

See PicoClaw running on embedded devices: Share your deployment on our Discord community!

Next Steps