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Pico Claw is an ultra-lightweight personal AI assistant developed by Sipeed that runs on less than 10MB of RAM. Designed for resource-constrained embedded devices, Pico Claw brings AI capabilities to affordable $10 RISC-V hardware like the LicheeRV Nano.
Pico Claw is a Go-based AI assistant that achieves unprecedented efficiency by running on minimal hardware. Developed by Sipeed and released on February 9, 2026, Pico Claw demonstrates that powerful AI assistants don't require expensive infrastructure.
Sipeed - Leading RISC-V hardware manufacturer and open-source developer
February 9, 2026
v0.0.1
Go (Golang) - Compiled for maximum efficiency and minimal footprint
MIT License - Free and open source for everyone
Less than 10MB RAM - 99% reduction compared to traditional AI assistants
Runs on $10 RISC-V devices - Democratizing AI for edge computing
Pico Claw reimagines what a personal AI assistant can be. By focusing on extreme efficiency, Pico Claw enables AI deployment on devices previously considered too limited - from $10 RISC-V boards to IoT sensors.
Pico Claw uses less than 10MB of memory, achieved through careful optimization and a Go rewrite. This 99% memory reduction compared to traditional AI assistants opens up entirely new deployment scenarios.
Pico Claw builds upon the work of nanobot by HKUDS, which demonstrated that AI assistants could be dramatically simplified. Sipeed took this concept further with a complete Go rewrite for even greater efficiency.
An astounding 95% of Pico Claw's code was generated through AI self-bootstrapping. The AI agent itself drove the architecture migration and code optimization, showcasing the future of software development.
Reduced OpenClaw from 430,000+ lines to ~4,000 lines, achieving ~100MB RAM usage
Original full-featured AI agent framework with extensive skills marketplace
Pico Claw represents the culmination of a journey toward ever-more-efficient AI assistants. See how the technology evolved from heavyweight to ultra-lightweight.
Full-featured AI agent framework with extensive capabilities and skills marketplace. Set the standard for personal AI assistants but required significant resources.
Dramatically simplified OpenClaw while maintaining core functionality. Proved that AI assistants could run on constrained devices with careful optimization.
Complete rewrite in Go achieving unprecedented efficiency. 99% memory reduction, 400x faster boot, and support for $10 RISC-V hardware. AI-driven development with 95% code generation.
Pico Claw's architecture is designed for simplicity and efficiency. Built in Go, it compiles to a single binary that runs on multiple platforms without dependencies.
Pico Claw compiles to one self-contained executable file. No runtime dependencies, no virtual environments, no package managers. Just download and run.
Cross-compilation support for multiple platforms:
Extensible architecture supporting skills installation from GitHub repositories. Community-contributed skills extend Pico Claw's capabilities without bloating the core.
Pico Claw's minimal resource requirements open up AI assistant deployment scenarios that were previously impossible or cost-prohibitive.
Deploy a personal AI assistant using a $9.9 LicheeRV Nano. Perfect for basic home automation, scheduling, and information queries without expensive infrastructure.
Use NanoKVM or NanoKVM-Pro to run Pico Claw for automated server maintenance, monitoring, and management tasks. 24/7 operation on minimal resources.
Bring AI capabilities to IoT sensors, industrial controllers, and edge computing nodes. Pico Claw runs where traditional AI assistants cannot.
Add conversational AI to smart home devices, industrial sensors, and connected appliances. Natural language control for resource-constrained devices.
Perfect for students and hobbyists learning AI, embedded systems, or RISC-V development. Low cost and open source make Pico Claw ideal for education.
Run Pico Claw on Raspberry Pi Zero, mobile devices, or any ARM/x86 system. Carry your AI assistant anywhere without cloud dependency.
Get started with Pico Claw on $10 hardware and experience ultra-lightweight AI. Free and open source under MIT license.