MicroClaw
Rust-based agentic AI assistant for chat surfaces. Connects to 15+ messaging platforms with minimal codebase.
Rust-Based Lightweight AI Assistant
MicroClaw is a Rust-based agentic AI assistant that lives in your Telegram chats (and 15+ other messaging platforms). Inspired by NanoClaw and incorporating some of its design ideas, MicroClaw is a chat bot that connects LLM to your chats with agentic tool execution.
Philosophy: "Minimal, secure, and fast" - Rust-powered AI agent for messaging platforms
Launch Date: 2026
Language: Rust
Inspired By: NanoClaw
License: MIT (Open Source)
What MicroClaw Can Do
- Run shell commands
- Read and edit files
- Search codebases
- Browse the web
- Schedule tasks
- Keep persistent memory across conversations
- Connect to 15+ messaging platforms
Why Rust?
Rust Advantages:
- Memory safety without garbage collection
- Zero-cost abstractions
- Fearless concurrency
- Fast performance
- Small binary size
Why MicroClaw?
🎯 Simplicity First
In a world where AI agents are becoming increasingly complex, MicroClaw takes a different approach:
OpenClaw: 400,000+ lines of code
├── Everything you can imagine
├── Steep learning curve
└── Overwhelming for beginners
MicroClaw: ~2,000 lines of code
├── Just the essentials
├── Easy to understand
└── Perfect for learning📦 What You Get
| Feature | MicroClaw | OpenClaw |
|---|---|---|
| Code Size | ~2,000 lines | ~400,000 lines |
| Setup Time | 5 minutes | 1-2 hours |
| Memory | 256MB | 2GB+ |
| Configuration | Simple YAML | Complex JSON |
| Learning Curve | Gentle | Steep |
🎓 Perfect for Learning
MicroClaw is ideal if you want to:
- Understand how AI agents work internally
- Learn to build your own AI assistant
- Have a codebase you can actually read
- Experiment without breaking complex systems
Key Features
1. Minimalist Design
What's Included:
- ✅ Basic AI model integration
- ✅ Simple task execution
- ✅ File reading/writing
- ✅ Web search capability
- ✅ Conversation memory
- ✅ YAML configuration
What's NOT Included:
- ❌ Complex skill marketplace
- ❌ Browser automation
- ❌ Multi-agent coordination
- ❌ Advanced plugin system
- ❌ Vector database integration
2. Simple Configuration
Everything is configured in a single config.yaml file:
# MicroClaw Configuration
bot:
name: "Micro"
role: "Helpful personal assistant"
model:
provider: openai
api_key: "your-api-key"
model: "gpt-4o-mini"
features:
file_access: true
web_search: false
memory: true
paths:
data: "./data"
logs: "./logs"3. Clean Codebase
The code is organized simply:
microclaw/
├── config.yaml # All configuration
├── main.js # Entry point (50 lines)
├── agent.js # AI agent logic (200 lines)
├── tools.js # Tool functions (150 lines)
└── utils.js # Helper functions (100 lines)Total: ~500 lines of actual code (excluding comments and blank lines)
4. Low Resource Usage
MicroClaw runs on minimal hardware:
| Resource | Usage |
|---|---|
| Memory | 256MB RAM |
| CPU | 1 core |
| Storage | 50MB |
| Network | Only for AI API calls |
Installation
Prerequisites
| Requirement | Details |
|---|---|
| Node.js | Version 16 or higher |
| npm | Comes with Node.js |
| Git | For cloning repository |
Step-by-Step Installation
Step 1: Install Node.js
Download from: https://nodejs.org/
Step 2: Clone Repository
git clone https://github.com/microclaw/microclaw
cd microclawStep 3: Install Dependencies
npm installStep 4: Configure
# Copy example config
cp config.example.yaml config.yaml
# Edit config.yaml with your API key
# Use any text editor (Notepad, VS Code, etc.)Step 5: Run
npm startThat's it! MicroClaw is now running.
Alternative: Quick Start (No Git)
# Download directly
curl -O https://raw.githubusercontent.com/microclaw/microclaw/main/microclaw.zip
unzip microclaw.zip
cd microclaw
npm install
npm startUsage Examples
Basic Conversation
You: Hello, what can you do?
MicroClaw: Hi! I can help you with:
- Answering questions
- Reading and writing files
- Simple calculations
- General conversation
What would you like help with?File Operations
You: Create a file called todo.txt with my tasks
MicroClaw: I've created todo.txt with the following content:
1. Buy groceries
2. Call mom
3. Finish report
Is there anything else you'd like me to add?Daily Assistant
You: What's on my schedule today?
MicroClaw: Let me check your calendar...
You have 3 events today:
1. Team meeting at 10:00 AM
2. Lunch with client at 12:30 PM
3. Gym session at 6:00 PM
Would you like me to set reminders?System Requirements
| Component | Minimum | Recommended |
|---|---|---|
| CPU | 1 core | 2 cores |
| Memory | 256MB RAM | 512MB RAM |
| Storage | 50MB | 100MB |
| OS | Windows 10, macOS 12, Linux | Any modern OS |
| Node.js | v16 | v18+ |
Use Cases
📚 Learning AI Agents
Scenario: You want to understand how AI agents work
How MicroClaw Helps:
- Read the code (only 500 lines)
- Understand each component
- Modify and experiment
- Build your own features
Learning Path:
Week 1: Read and understand the codebase
Week 2: Modify existing features
Week 3: Add new simple features
Week 4: Build your own AI agent🏠 Simple Home Automation
Scenario: Basic home automation without complexity
Setup:
# Add to config.yaml
automation:
- trigger: "good morning"
actions:
- "Turn on lights"
- "Read weather"
- "Show calendar"
- trigger: "good night"
actions:
- "Turn off lights"
- "Set alarm"
- "Lock doors"💼 Personal Task Management
Scenario: Keep track of daily tasks
Usage:
Morning:
"Micro, what's on my todo list?"
During day:
"Micro, add 'call dentist' to my list"
Evening:
"Micro, show me what I completed today"Comparison with Alternatives
| Feature | MicroClaw | OpenClaw | NanoBot | Cherry Studio |
|---|---|---|---|---|
| Complexity | ⭐ Very Simple | ⭐⭐⭐⭐⭐ Complex | ⭐⭐⭐ Medium | ⭐⭐ Simple |
| Code Size | ~2K lines | ~400K lines | ~4K lines | GUI App |
| Setup Time | 5 min | 1-2 hours | 15 min | 10 min |
| Memory | 256MB | 2GB+ | 512MB | 2GB |
| Best For | Beginners | Power users | Learners | Productivity |
Pros & Cons
✅ Advantages
| Advantage | Explanation |
|---|---|
| Simple | Easy to understand and use |
| Lightweight | Runs on minimal hardware |
| Quick Setup | Running in under 5 minutes |
| Beginner Friendly | No technical expertise needed |
| Modifiable | Easy to add custom features |
| Free | MIT licensed, completely free |
⚠️ Limitations
| Limitation | Explanation |
|---|---|
| Limited Features | Only basic functionality |
| Not for Complex Tasks | Can't handle advanced automation |
| Small Community | Few users and contributors |
| Basic Documentation | Limited guides and tutorials |
| No Advanced Features | No browser automation, etc. |
Pricing
MicroClaw is Completely FREE:
| Component | Price |
|---|---|
| Software | Free (MIT License) |
| Updates | Free |
| Support | Free (Community) |
| AI API Costs | Your own API key |
Note: You need your own AI API key (OpenAI, Anthropic, etc.) which has its own pricing.
Community and Support
- GitHub: https://github.com/microclaw/microclaw
- Issues: https://github.com/microclaw/microclaw/issues
- Discussions: https://github.com/microclaw/microclaw/discussions
- WinGet:
winget install MicroClaw.MicroClaw
Sources
- MicroClaw GitHub Repository
- Ry Walker Research: MicroClaw
- Install MicroClaw using Winget
- Why I Chose a 4,000-Line AI Assistant
License
MIT License - Free for personal and commercial use.
Summary
MicroClaw is a Rust-based lightweight AI assistant:
- Rust-Powered -- Memory safety and performance
- 15+ Platforms -- Telegram, WhatsApp, Discord, and more
- Agentic Tools -- Shell commands, file ops, web browsing
- Persistent Memory -- Remembers across conversations
- Minimal Codebase -- Inspired by NanoClaw's simplicity
- Fast & Secure -- Rust's safety guarantees
- MIT License -- Free and open source
Best For:
- ✅ Telegram users
- ✅ Users wanting Rust-based security
- ✅ Lightweight deployments
- ✅ Multi-platform messaging needs
- ✅ Developers comfortable with Rust
- ✅ Users wanting minimal resource usage
Not Recommended For:
- ❌ Users unfamiliar with Rust
- ❌ Complex enterprise requirements
- ❌ Users wanting GUI interfaces
- ❌ Non-technical users
Key Advantage: Combines the simplicity of NanoClaw with the performance and safety of Rust, creating a fast, secure, and lightweight AI agent for messaging platforms.