FEOM – Windows GUI automation at 8ms, no GPU needed

FEOM, a new open-core front-end OS automation engine for Windows AI agents, achieves 8ms GUI operations without a GPU or cloud API, eliminating vision token costs. The tool claims 73% faster execution than traditional VLM-based agents and works on any Windows PC with 4GB RAM, targeting developers building production-grade automation.

The Ultimate Front-End OS Engine for AI Agents. 0 Vision Tokens. 733× Faster. 100% Deterministic. FEOM is a production-grade front-end operation architecture for Windows AI Agents. This repository contains the Open-Core Edition , allowing developers to test and verify real-time structural OS routing achieving ~8ms background UIA invocation , completely eliminating VLM vision token costs. | Feature | 🟡 Open-Core This Repo | 🟢 FEOM Pro / Enterprise | |---|---|---| MCP Server Framework | ✅ Included | ✅ Included | UIA Tree Structural Read | ✅ Included ~75ms | 🚀 Predictive Async Cache <1ms | Win32 SendInput Click | 🟢 Standard ~3.96ms | ⚡ Zero-Alloc UltraClick <1.0ms | Background UIA Invoke | 🟢 Basic ~8ms | ⚡ Win32 PostMessage ~1ms | Multi-Monitor High DPI | ❌ Static Coords Only | ✅ Dynamic Scaling Matrix | Taskbar Push Auto-Recovery | ❌ Fixed Offsets | ✅ Icon Vector Tracking | Input Pipeline Optimization | ❌ Raw Character Streams | ✅ Clipboard Parallel -71% | Always show, then report. Every sequence must execute visibly in the foreground. Never click blindly. Structural state verification is forced prior to any input. Alt+F4 blindly kills whatever window has focus — frequently closing the orchestration engine itself. | Execution Stage | Traditional MCP Agent | FEOM Hybrid Mode | Time Saved | |---|---|---|---| | App Bootup | ~3.0s UI traversal | 0.01s | 99.6% | | Form Input | ~5.0s Vision Loop | 1.2s | 76.0% | | Close & Verify | ~4.0s Screenshot | 2.0s | 50.0% | Total End-to-End | ~12.0s | ~3.21s | 73.2% Faster | Verify instant boot: terminal "start calc" | Requirement | Traditional VLM | FEOM Open-Core | |---|---|---| | GPU | RTX 3060+ required | None - any CPU works | | RAM | 16GB+ | 4GB | | Network | Required API per click | Zero - fully local | | Cost/op | $0.01-$0.05 vision tokens | $0 | | Display | Yes needs screenshot | No - works headless | | Hardware cost | $1,000+ gaming PC | $50 used Dell | | Annual license | $15K+ RPA | $0 Open-Core | | VLM Screenshot | FEOM OS-Native | | |---|---|---| | Output | Coordinate guessing | AutomationID targeting | | Repeatability | Different each time | 100% identical | | DPI scaling | Coordinates drift | UIA auto-maps | | Background | Cannot work | Works minimized | | Production-ready | Demo only | Production grade | | Tier | Product | Price | |---|---|---| | 1 | Turbo-MCP Plugin anti-crash + DPI matrix | $14.99/mo | | 2 | AI-SaaS Task Force legacy ERP/CRM migration | Custom | | 3 | Enterprise Consulting stability + multi-monitor audit | $3K-$10K | | 4 | Hermes-Split-OS SDK parallel multi-agent framework | License | Inquiries: Open B2B Ticket https://github.com/a92070888-dev/mcp-os-native-automation/issues/new?labels=commercial&template=b2b-inquiry.md or a92070888@gmail.com mailto:a92070888@gmail.com pip install pywinauto pywin32 mcp python server.py Then add to MCP client config: { "mcpServers": { "feom": { "command": "python", "args": "path/to/server.py" } } } No GPU. No cloud API. No Docker. Any Windows PC. | Tool | Description | Latency | |---|---|---| | feom click | Click at screen coords via SendInput | ~4ms | | feom uia invoke | Invoke UIA element by AutomationID | ~8ms | | feom launch | Launch app via terminal pipe | ~0.01s | | feom list windows | List all visible windows | ~75ms | pip install pywinauto pywin32 mcp python server.py