ran-agent is a multi-function AI agent system that accepts commands via email and supports configurable agent groups.

Background

After OpenClaw gained traction, I wanted to understand how AI coding-assistant products actually work under the hood — how Skills, Tool Calls, and Agent Loops are executed. So I built this project from scratch using Claude Code.

Developing on Windows, I didn’t have access to the system-level multi-platform calling capabilities available on macOS, so I took a different approach: using email as the command channel. Users send a natural-language command to a designated mailbox; the agent receives, parses, and executes it, then replies with the result.

Key Features

• Email Command Trigger — Send natural-language commands to a mailbox; the agent picks them up and runs
• Agent Group Configuration — Set up multiple agents on a management page and have them collaborate on complex tasks
• Tool Call Support — Integrates MCP and other tool-call protocols to extend agent capabilities
• Cross-platform — Python-based; runs on Windows, macOS, and Linux

How It Works

User sends an email command
          ↓
Mail listener parses the instruction
          ↓
Dispatched to the relevant Agent (or Agent group)
          ↓
Agent executes the task (with tool calls as needed)
          ↓
Result is sent back by email

Tech Stack

Repository

github.com/ramadanma/ran-agent

RanVision is a YOLO-based visual person detection system with a custom rule engine that automatically sends reports when conditions are triggered.

Background

Through daily work in visual AI — security monitoring, headcount analytics, behavioral compliance — I found myself rebuilding the same detection pipeline for each new project. I wanted a general-purpose framework: connect any video source, define rules, get notified when they fire.

Key Features

• Custom Detection Zones — Draw ROI regions on the video frame; rules apply only within them
• Flexible Rule Configuration — Set conditions based on person count, dwell time, entry/exit direction, and more
• Multi-channel Report Delivery — When triggered, send screenshots and event descriptions via Email or HTTP webhook
• Multiple Video Sources — Supports local cameras, RTSP streams, and local video files

Tech Stack

Use Cases

• Security Monitoring — Detect unauthorized presence in restricted zones
• Headcount Analytics — Count the number of people in an area at any given moment
• Behavioral Compliance — Measure how long personnel remain in a designated zone

Repository

github.com/ramadanma/RanVision

RanTerm is a macOS SSH & SFTP terminal client I independently developed and published on the Mac App Store.

Why I Built This

Of all the remote connection tools I’ve used, MobaXterm stood out — it lets you browse remote directories in real time and edit files directly. Powerful, but it’s a Windows tool, and there’s no native macOS equivalent that matches that experience.

In my day-to-day work, connecting to training machines, annotation servers, and deployment environments is constant. SSH and SFTP are indispensable. So I decided to build my own: native Mac, capable, and lean.

Key Features

• SSH Terminal — Password and key-based authentication, multi-tab session management
• SFTP File Manager — Browse remote directories visually, drag-and-drop file transfers
• Multi-session Management — Maintain multiple connections simultaneously, switch instantly
• Native macOS Experience — Follows macOS design conventions; lightweight and smooth

Download

Mac App Store → RanTerm

Questions or feedback? Reach me at yijium9@outlook.com.