Claude Skill

memovai/mimiclaw

MimiClaw is an open-source implementation of OpenClaw that runs on a $5 chip without OS, Node.js, or Raspberry Pi. It provides a hardware-native agent OS for edge AI agents with local-first storage...

Overview

Stars5,540
Forks817
LanguageC
Last pushed2026-04-21
Last synced2026-07-03
View on GitHub

Repository

Ownermemovai
Repositorymimiclaw
Full namememovai/mimiclaw
Repo ID1,149,403,151

Install this Skill

git clone https://github.com/memovai/mimiclaw.git

Registry

Typeopenclaw_skill
Quality score80/100
Verificationreadme_parsed
Last verified2026-05-29
Platforms
ClaudeOpenClaw
Capabilities
code-reviewmemorysearchimageterminalworkflowaiassistantclawdbotedge-ai-agents
Detected files
README.mddocs
Config keys
MIMI_SECRET_WIFI_SSIDMIMI_SECRET_TG_TOKENMIMI_SECRET_API_KEYMIMI_SECRET_SEARCH_KEYMIMI_SECRET_TAVILY_KEY

Summary

MimiClaw is a lightweight, open-source implementation of OpenClaw designed to run on ultra-low-cost hardware (as low as a $5 chip) without an operating system, Node.js, or a Raspberry Pi. It provides a hardware-native agent OS for edge AI agents, prioritizing local storage, shareability, and privacy.

Chinese description

咪咪爪:在5美元芯片上运行OpenClaw。无需操作系统(Linux)。无需Node.js。无需Mac mini。无需树莓派。无需VPS。😗本地优先存储。可共享。隐私至上。

Key features

  • Runs on a $5 chip without OS, Node.js, or Raspberry Pi
  • Hardware-native agent OS for edge AI agents
  • Local-first storage with shareability and privacy
  • Open-source implementation of OpenClaw
  • Designed for ultra-low-cost, low-power deployment

Use cases

  • Running AI agents on low-cost edge devices
  • Privacy-focused local AI assistant deployment
  • Embedded systems with agent-based automation
  • Education and prototyping for hardware AI agents
  • IoT devices requiring on-device intelligence

README excerpt

# MimiClaw: Pocket AI Assistant on a $5 Chip <p align="center"> <img src="assets/banner.png" alt="MimiClaw" width="500" /> </p> <p align="center"> <a href="LICENSE"><img src="https://img.shields.io/badge/License-MIT-yellow.svg" alt="License: MIT"></a> <a href="https://deepwiki.com/memovai/mimiclaw"><img src="https://img.shields.io/badge/DeepWiki-mimiclaw-blue.svg" alt="DeepWiki"></a> <a href="https://discord.gg/r8ZxSvB8Yr"><img src="https://img.shields.io/badge/Discord-mimiclaw-5865F2?logo=discord&logoColor=white" alt="Discord"></a> <a href="https://x.com/ssslvky"><img src="https://img.shields.io/badge/X-@ssslvky-black?logo=x" alt="X"></a> </p> <p align="center"> <strong><a href="README.md">English</a> | <a href="README_CN.md">中文</a> | <a href="README_JA.md">日本語</a></strong> </p> **The world's first AI assistant(OpenClaw) on a $5 chip. No Linux. No Node.js. Just pure C** MimiClaw turns a tiny ESP32-S3 board into a personal AI assistant. Plug it into USB power, connect to WiFi, and talk to it through Telegram — it handles any task you throw at it and evolves over time with local memory — all on a chip the size of a thumb. ## Meet MimiClaw - **Tiny** — No Linux, no Node.js, no bloat — just pure C - **Handy** — Message it from Telegram, it handles the rest - **Loyal** — Learns from memory, remembers across reboots - **Energetic** — USB power, 0.5 W, runs 24/7 - **Lovable** — One ESP32-S3 board, $5, nothing else ## How It Works ![](assets/mimiclaw.png) You send a message on Telegram. The ESP32-S3 picks it up over WiFi, feeds it into an agent loop — the LLM thinks, calls tools, reads memory — and sends the reply back. Supports both **Anthropic (Claude)** and **OpenAI (GPT)** as providers, switchable at runtime. Everything runs on a single $5 chip with a

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Data from GitHub. Synced on 2026-07-03