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PicoClaw

Ultra-lightweight personal AI assistant written in Go that runs on $10 hardware with under 10MB RAM and boots in under 1 second, delivering OpenClaw-like agent capabilities on embedded devices, Raspberry Pi, and even old Android phones.

Overview

PicoClaw is an ultra-lightweight personal AI assistant inspired by nanobot and refactored from the ground up in Go through a self-bootstrapping process (95% AI-generated core). Developed by Sipeed, it brings powerful agent capabilities to extremely constrained hardware while maintaining full functionality for personal automation.

It runs on any Linux board as cheap as $10 (e.g., LicheeRV-Nano, Raspberry Pi Zero) with a memory footprint under 10MB and startup under 1 second — 99% smaller and 400× faster than comparable tools like OpenClaw.

Official website: picoclaw.io

Features

  • Ultra-Lightweight: <10MB RAM footprint — 99% smaller than OpenClaw
  • Blazing Fast: Boots in <1s even on 0.6–0.8 GHz single-core hardware
  • Single Binary: Zero dependencies, cross-platform (RISC-V, ARM, MIPS, x86_64, ARMv7)
  • Multi-LLM Support: Cloud providers (OpenAI, Anthropic, DeepSeek, GLM, Ollama local, etc.) plus model routing
  • Rich Integrations: Telegram, Discord, WhatsApp (native), Matrix, QQ, DingTalk, WeCom, LINE, Slack, IRC and more via shared gateway
  • Agent Capabilities: Tools, memory, cron jobs, skills, multi-agent orchestration, workspace sandboxing
  • Launcher & Web UI: Optional web console and TUI for management
  • Security-First: Sandboxed execution, dangerous command blocking, workspace restrictions

Performance Comparison

AspectOpenClawNanoBotPicoClaw
LanguageTypeScriptPythonGo
RAM>1GB>100MB<10MB
Startup (0.8GHz)>500s>30s<1s
Hardware CostMac Mini $599SBC ~$50As low as $10

Use Cases

  • 24/7 personal AI on Raspberry Pi Zero or $10 RISC-V boards
  • Always-on Telegram/Discord/WhatsApp bot for reminders, email, automation
  • Edge AI on old Android phones via Termux or embedded Linux devices
  • Lightweight alternative to heavy agents for home servers, IoT, or resource-limited environments
  • Self-hosted automation without GPUs or cloud bills

Quick Installation

Binary (recommended) Download latest release from GitHub Releases for your architecture.

One-command onboard

picoclaw onboard

Configure Edit ~/.picoclaw/config.json with your LLM API keys and preferred channels.

Run

picoclaw agent          # direct chat
picoclaw gateway        # messaging bots
picoclaw launcher       # web console at http://localhost:18800

Docker support and full source build instructions available in README.

Supported Platforms

  • Raspberry Pi (including Zero 2 W)
  • Sipeed LicheeRV-Nano, MaixCAM, NanoKVM
  • Any Linux (x86, ARM, RISC-V, MIPS, LoongArch)
  • Android via Termux
  • macOS, Windows (experimental)

Community & Development

Actively maintained with frequent releases (latest v0.2.2 as of March 2026). MIT licensed, 140+ contributors. Roadmaps, contributing guide, and skill ecosystem on GitHub.

PicoClaw proves AI agents can be truly ubiquitous — deploy anywhere, even on the smallest hardware.

Tags

aiagentlightweightgoembeddedraspberry-pirisc-vopen-sourceautomationtelegramdiscordcli