Case Study · 2025 — 2026Project Breakdown
Clowdy
Desktop AI Companion with Screen Vision
Role: Creator & Lead Developer
·Completed Project
Memory Retention100% Local
Execution Latency< 250ms
ArchitectureNative Daemon
Project Overview
Clowdy connects foundation models directly with local operating system state. Unlike cloud chatbots in browser tabs, Clowdy observes active application windows, parses visual buffers through OCR, and invokes native Windows API routines to execute desktop workflows automatically.
The Challenge
Achieving fast visual recognition while preserving strict local user privacy without routing raw desktop buffers to third-party log servers.
The Solution
Architected a lightweight Python daemon orchestrating win32 buffer captures, local vector embeddings, and an asynchronous pipeline with local sanity checks.
Key Features & Results
↳100% private local associative memory preventing sensitive desktop data leakage.
↳Multi-step desktop workflows triggered via natural conversational speech.
↳Background monitoring for system health and resource consumption.
Technologies Used
PythonGemini Multimodal APIComputer Vision / OCRSpeech Synthesis (TTS)Win32 API AutomationLocal Vector Index
Links & CodeView on GitHub