Autobot

Crystal Ultra-Efficient Personal AI Assistant - 2MB Binary

Autobot is an ultra-efficient personal AI assistant written in Crystal, producing a mere 2MB binary with minimal memory footprint. Combining Ruby-like syntax elegance with native code performance, Autobot is designed for environments where every kilobyte and milliwatt matters. GitHub: https://github.com/crystal-autobot/autobot Developer: crystal-autobot (Community Open Source) License: MIT Platforms: Linux, macOS, Windows, BSD Key Innovation: Autobot demonstrates that AI agents can be incredibly small and efficient - at just 2MB binary size and 30MB RAM usage, it brings AI to the most resource-constrained environments.

Core Philosophy: "Elegance meets efficiency - small code, big capabilities"---

Why Autobot?

2MB Binary: Incredibly small footprint for an AI agent.

Crystal Performance: Ruby-like syntax with C-like speed.

Type Safety: Compile-time type checking for reliability.

Energy Efficient: Minimal power consumption for edge devices.

Key Features

1. Ultra-Lightweight Core

• Binary size ~2MB
• Memory usage ~30MB
• Startup time <100ms
• Minimal CPU usage
• Low power consumption

2. Crystal Language Benefits

• Ruby-like elegant syntax
• Native code compilation
• Type safety at compile time
• Garbage collection
• Concurrency with fibers

3. AI Integration

• Multiple provider support
• Streaming responses
• Token management
• Context handling
• Error recovery

4. Simple Configuration

# config.yml
ai:
  provider: openai
  model: gpt-4o-mini
  api_key: ENV["OPENAI_API_KEY"]

server:
  port: 3000
  host: '0.0.0.0'

logging:
  level: info

5. Concurrency

• Fiber-based concurrency
• Non-blocking I/O
• Parallel task execution
• Resource pooling
• Graceful shutdown

Installation

Build from Source

# Install Crystal
curl -fsSL https://crystal-lang.org/install.sh | sudo bash

# Clone repository
git clone https://github.com/crystal-autobot/autobot.git
cd autobot

# Build
shards install
crystal build src/autobot.cr --release -o autobot

# Install
sudo mv autobot /usr/local/bin/

Download Binary

# Linux
wget https://github.com/crystal-autobot/autobot/releases/latest/download/autobot-linux
chmod +x autobot-linux
sudo mv autobot-linux /usr/local/bin/autobot

# macOS
wget https://github.com/crystal-autobot/autobot/releases/latest/download/autobot-darwin
chmod +x autobot-darwin
sudo mv autobot-darwin /usr/local/bin/autobot

Docker

docker pull crystal-autobot/autobot:latest
docker run -d --name autobot -p 3000:3000 crystal-autobot/autobot:latest

Configuration

config.yml

ai:
  provider: openai
  model: gpt-4o-mini
  api_key: ENV["OPENAI_API_KEY"]
  base_url: https://api.openai.com/v1
  timeout: 30
  max_tokens: 4096

server:
  port: 3000
  host: '0.0.0.0'
  workers: 4
  max_connections: 50

logging:
  level: info
  format: json
  file: /var/log/autobot.log

features:
  streaming: true
  caching: true
  rate_limiting: true

Environment Variables

export OPENAI_API_KEY=sk-...
export AUTOBOT_SECRET=your-secret

Usage

Command Line

# Start server
autobot server

# Run single task
autobot run "Summarize this text"

# Check version
autobot --version

# Show help
autobot --help

API Example

curl -X POST http://localhost:3000/chat \
  -H "Content-Type: application/json" \
  -d '{
    "message": "Hello, Autobot!",
    "stream": false
  }'

Crystal Code Integration

require "autobot"

client = Autobot::Client.new
response = client.chat("What is Crystal?")
puts response.content

Pricing

Free: Autobot is completely free and open source under MIT license. You only pay for the AI models you use through their respective providers.

System Requirements

Use Cases

Ultra-Lightweight AI Deployment

Deploy AI agents where storage and memory are extremely limited.

Edge Computing AI

Run AI processing on edge devices with minimal resources.

IoT AI Integration

Add AI capabilities to IoT devices and sensors.

Personal Automation

Run personal AI automations on low-power hardware.

Quick AI Tasks

Execute quick AI tasks without heavy infrastructure.

Resource-Constrained Devices

Operate on devices with severe resource limitations.

Community and Support

• GitHub: https://github.com/crystal-autobot/autobot
• Documentation: https://github.com/crystal-autobot/autobot#readme
• Issues: GitHub Issues tab
• Crystal Forum: https://forum.crystal-lang.org/

Quick Start Guide

Get 'Autobot' up and running quickly.

Step 1: Install

cd autobot
npm install
npx autobot 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/crystal-autobot/autobot#readme'

FAQ

Is 'Autobot' free to use?

Yes, 'Autobot' 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 'Autobot'?

'Autobot' requires '30MB RAM' of RAM minimum. Runtime: 'Native binary (Crystal)'. It runs on Windows, macOS, and Linux.

Can I self-host 'Autobot'?

Yes. 'Autobot' 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 'Autobot' compare to OpenClaw?

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

Is 'Autobot' suitable for beginners?

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

License

MIT License - Free for personal and commercial use.

Tags

ai-agent, crystal, ultra-lightweight, efficient, native, minimal, edge, iot