Multi-Layer AI Agent: Desktop + Browser + Vision Automation

🚀 In this video, I build a Multi-Layer Autonomous Browser & Desktop Agent capable of solving tasks across desktop applications, accessibility-driven web apps, and vision-based games.

Unlike traditional browser agents, this system uses a growing-graph orchestrator that dynamically routes tasks to the cheapest and most effective execution layer.

🔥 Features:
• Native desktop automation using xdotool
• Accessibility-tree browser automation
• Vision-powered game playing
• Dynamic DAG orchestration
• Memory with FAISS vector search
• Automatic recovery and replanning
• Live cursor overlay for agent actions
• Playwright browser control
• Multi-agent architecture

🧠 Architecture Highlights:
✅ Computer Skill (Desktop Automation)
✅ Browser Skill (Accessibility + DOM Interaction)
✅ Notes Agent (ARIA-based Productivity Apps)
✅ Game Agent (Vision-Based Canvas Control)
✅ Planner, Critic, Recovery & Memory Layers

🎮 Demo Tasks:
• Calculator automation
• Bill calculations
• Notes creation and editing
• Ping Pong gameplay using Vision LLMs
• Research and web navigation

🛠 Tech Stack:

* Python
* Playwright
* NetworkX
* FAISS
* Pydantic
* Vision LLMs
* Accessibility Trees
* xdotool
* Vector Memory

By the end of the video, you'll understand how modern autonomous agents combine planning, memory, browser automation, desktop control, and computer vision into a single intelligent system.

#AIAgents #Playwright #LLM #Automation #Python #AgenticAI #ArtificialIntelligence #BrowserAutomation #ComputerVision #FAISS #MultiAgentSystems

Видео Multi-Layer AI Agent: Desktop + Browser + Vision Automation канала Rikki