picoclaw-ai-assistant

What This Skill Does

PicoClaw is an ultra-lightweight AI assistant designed specifically for edge computing environments. Built in Go, it is engineered to function on extremely low-resource hardware, requiring less than 10MB of RAM and booting in under one second. It acts as a versatile interface that connects local hardware to powerful LLM providers (including OpenAI-compatible, Anthropic, and Volcengine). Whether you are running it on a $10 RISC-V device, an ARM-based Raspberry Pi, or a MIPS-based router, PicoClaw provides a consistent, high-performance experience, acting as a gateway for intelligent task processing without the heavy infrastructure overhead of traditional models.

Installation

Installation is highly flexible, supporting three main methods. First, you can download a precompiled binary for your architecture (x86_64, ARM64, MIPS, or RISC-V) from the official GitHub releases page, set it as executable, and run the onboard command. Second, for developers or those on specific distributions, you can build from source using the provided Makefile after cloning the repository. Finally, for containerized environments, use the provided Docker Compose profiles to deploy PicoClaw in Gateway, Launcher, or One-shot Agent modes. For Android users, the assistant is compatible with Termux via proot.

Use Cases

PicoClaw is ideal for IoT automation, providing local voice or text AI interfaces for low-power smart home hubs, or serving as an intelligent log monitor on edge Linux servers. It works perfectly as a diagnostic assistant for remote field devices where memory and CPU are strictly limited. Because it supports web search tools, it is also effective as an information retrieval node for small-scale headless projects.

Example Prompts

1. "Check the current system temperature and provide a summarized health report in five words or less."
2. "Search for the latest documentation on enabling GPIO pins for the current board and explain the pinout constraints."
3. "Summarize the last 50 lines of the system syslog file and identify any suspicious network access attempts."

Tips & Limitations

To ensure peak performance, avoid running memory-intensive background tasks alongside the agent, as PicoClaw's primary selling point is its efficiency. Always verify your ~/.picoclaw/config.json before deploying in a production gateway environment to ensure API keys are secure. Note that the assistant relies on cloud LLMs, so while the binary is local, an active internet connection is required for high-quality responses.