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:| Device | Price | Architecture | Memory | Use Case |
|---|---|---|---|---|
| LicheeRV-Nano E/W | $9.90 | RISC-V | 64MB+ | Minimal Home Assistant |
| NanoKVM | $30-50 | ARM | 512MB+ | Automated Server Maintenance |
| NanoKVM-Pro | $100 | ARM | 1GB+ | Professional KVM with AI |
| MaixCAM | $50 | ARM | 256MB+ | Smart Monitoring |
| MaixCAM2 | $100 | ARM | 512MB+ | 4K AI Camera with Assistant |
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
Recommended Specifications
- 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
- Download the RISC-V binary:
- Transfer to device (via SCP or USB):
- Initialize on device:
- 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
- Download the ARM64 binary:
- Transfer to NanoKVM:
- 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: 100 (MaixCAM2)
- CPU: ARM Cortex-A7 @ 1GHz+
- RAM: 256MB - 512MB
- Camera: Built-in with AI processing
- Use Case: Smart monitoring, security, computer vision
Installation
- Download the appropriate binary:
- Transfer to MaixCAM and install
- 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:build/ directory.
Performance Benchmarks
Memory Usage by Device
| Device | RAM Total | PicoClaw Usage | Available for OS |
|---|---|---|---|
| LicheeRV-Nano | 64MB | ~8MB | 56MB |
| NanoKVM | 512MB | ~8MB | 504MB |
| MaixCAM | 256MB | ~8MB | 248MB |
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_tokensin 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
- Run as System Service - Auto-start on boot
- Optimize Configuration - Tune for your hardware
- Chat Apps Integration - Connect Telegram, Discord