MimicLaw

Ultra-lightweight AI assistant running on ESP32-S3 chip. Compact Claw ecosystem assistant for embedded devices with minimal resource requirements and offline capabilities.

Ultra-Lightweight AI Assistant - ESP32-S3 Embedded AI

MimicLaw is an ultra-lightweight AI assistant designed to run on ESP32-S3 microcontroller chips. As part of the Claw ecosystem, MimicLaw brings basic AI capabilities to embedded devices, enabling voice control, simple automations, and IoT integration with minimal resource requirements. GitHub: https://github.com/memovai/mimiclaw Developer: memovai (Community Open Source) License: MIT Platform: ESP32-S3 and compatible microcontrollers Key Innovation: MimicLaw demonstrates that AI assistants can run on the smallest devices - with less than 1MB of memory, it brings AI capabilities to microcontrollers costing just a few dollars.

Core Philosophy: "AI everywhere - even on the smallest chips"

Why MimicLaw?

Microcontroller AI: Run AI assistants on $5 microcontroller boards.

Ultra-Lightweight: Less than 500KB memory footprint.

Offline Ready: Basic functions work without internet.

IoT Native: Designed for smart home and IoT integration.

Key Features

$#1.
ESP32-S3 Optimization

Optimized for ESP32-S3 chip
8MB Flash support
512KB RAM usage
Dual-core processing
WiFi and Bluetooth

$#2.
Voice Support

Wake word detection
Voice command recognition
LED status feedback
Button input support
Optional TTS output

$#3.
Connectivity

WiFi client mode
MQTT integration
HTTP API calls
WebSocket support
BLE peripheral

$#4.
Low Power

Deep sleep support
Wake on voice
Battery operation
Power management
Energy monitoring

$#5.
Development

Arduino IDE support
PlatformIO compatible
MicroPython option
C++ SDK
Example projects

Installation

PlatformIO

; platformio.ini
[env:esp32s3]
platform = espressif32
board = esp32-s3-devkitc-1
framework = arduino
lib_deps =
    memovai/mimiclaw@^1.0.0

# Install PlatformIO
pip install platformio

# Build and upload
pio run -t upload

Arduino IDE

1. Install ESP32 board support
2. Install MimicLaw library
3. Open example sketch
4. Configure WiFi and API keys
5. Upload to board

Manual Build

# Clone repository
git clone https://github.com/memovai/mimiclaw.git
cd mimiclaw

# Configure
cp config.h.example config.h
# Edit config.h

# Build with ESP-IDF
idf.py build
idf.py flash

Configuration

config.h

// WiFi Configuration
#define WIFI_SSID "YourWiFi"
#define WIFI_PASSWORD "YourPassword"

// AI Configuration
#define AI_PROVIDER "openai"
#define AI_API_KEY "your-api-key"
#define AI_MODEL "gpt-4o-mini"

// Voice Configuration
#define WAKE_WORD "hey mimic"
#define USE_MIC true
#define USE_SPEAKER false

// MQTT Configuration (optional)
#define MQTT_ENABLED false
#define MQTT_BROKER "mqtt://localhost"

Pin Configuration

// Default pin assignments
#define BUTTON_PIN 0
#define LED_PIN 48
#define I2S_SCK 17
#define I2S_WS 18
#define I2S_SD 16

Usage

Voice Commands

"Hey Mimic, turn on the lights"
"Hey Mimic, what's the temperature"
"Hey Mimic, set a timer for 5 minutes"

Button Control

Single press: Activate voice input
Double press: Toggle LED
Long press: Reset WiFi

MQTT Integration

// Subscribe to topics
mimic.subscribe("home/lights");
mimic.subscribe("home/temperature");

// Publish responses
mimic.publish("home/status", "online");

Pricing

Free: MimicLaw is completely free and open source under MIT license.

Hardware Cost: ESP32-S3 boards cost $5-15 depending on features.

AI Costs: Optional cloud AI requires API usage fees.

System Requirements

Component	Minimum	Recommended
Chip	ESP32-S3	ESP32-S3 with PSRAM
Flash	4MB	8MB+
RAM	384KB	512KB+
Power	3.3V	USB or battery
Tools	PlatformIO/Arduino	ESP-IDF

Use Cases

Embedded AI Assistant

Add basic AI capabilities to embedded devices.

IoT Voice Control

Control IoT devices with voice commands.

Smart Home Integration

Integrate with smart home systems via MQTT.

Wearable AI

Build AI-powered wearable devices.

Low-Power AI Tasks

Run AI on battery-powered devices.

Edge AI Deployment

Deploy AI at the edge with minimal infrastructure.

Community and Support

GitHub: https://github.com/memovai/mimiclaw
Documentation: https://github.com/memovai/mimiclaw#readme
Issues: GitHub Issues tab
Discussions: GitHub Discussions tab

Quick Start Guide

Get MimicLaw up and running quickly.

Step 1: Install

cd mimiclaw
npm install
npx mimiclaw setup

Step 2: Configure

Set your AI model and API key in the configuration.

Step 3: Connect and Go

Link your messaging platform and start using your AI agent.

Full documentation: https://github.com/memovai/mimiclaw#readme

FAQ

Is MimicLaw free to use?

Yes, MimicLaw is free and open source (MIT license). You only pay for AI model API costs if using external models.

What are the system requirements for MimicLaw?

MimicLaw requires 8MB Flash, 512KB RAM of RAM minimum. Runtime: ESP32-S3 Native. It runs on Windows, macOS, and Linux.

Can I self-host MimicLaw?

Yes. MimicLaw is open source (MIT) and can be self-hosted on your own hardware. Clone the repository from GitHub and follow the installation guide.

How does MimicLaw compare to OpenClaw?

MimicLaw offers a different approach compared to OpenClaw. While OpenClaw provides the largest ecosystem with 13,729+ skills and maximum flexibility, MimicLaw focuses on personal assistant. Choose MimicLaw if you prioritize its specific features; choose OpenClaw for the broadest compatibility and community support.

Is MimicLaw suitable for beginners?

MimicLaw requires some technical knowledge to set up (ESP32-S3 Native). If you are a beginner, consider starting with QClaw (one-click install) or MaxClaw (cloud-based, no setup) first, then graduate to MimicLaw as you gain experience.

License

MIT License - Free for personal and commercial use.