PicoClaw

Detailed Introduction

PicoClaw is an ultra‑lightweight personal AI assistant implemented in Go, aiming to provide practical conversational and automation capabilities on extremely resource‑constrained devices. The project claims to run on single‑board hardware costing around $10, with resident memory under 10MB and approximately 1s startup time. It uses a bootstrap approach to keep the core implementation minimal while maintaining adapters for mainstream model providers (e.g., OpenRouter, Zhipu, Brave Search).

Main Features

• Ultra‑lightweight: binary‑focused implementation for low‑memory, low‑power devices (<10MB resident memory).
• Fast startup: ~1s startup on weak single‑core CPUs, suitable for edge and intermittent scenarios.
• Multi‑platform builds: single executable targeting RISC‑V, ARM and x86 architectures.
• CLI and integration: command‑line tools plus gateway/daemon modes for embedding in devices or servers.

Use Cases

• Self‑hosted personal assistants on inexpensive single‑board computers.
• Simple automation and alerting assistants for edge monitoring and low‑cost IoT nodes.
• Educational and research demos for extreme model compression, deployment and bootstrap design.

Technical Features

• Implemented in Go with engineering focus on binary size and low runtime overhead.
• Configurable adapters for multiple LLM providers and web retrieval; see README for quick‑start examples.
• Modular, small components to allow incremental extension in resource‑constrained environments.