# Goose Super - Current State Analysis & Enhancement Plan ## Executive Summary **Goose Super** is currently a functional Electron-based AI coding assistant that combines Qwen LLM with basic computer automation. However, to achieve the vision of a **noob-proof, all-in-one AI coding environment** (like Lovable but with full computer control), significant enhancements are needed. --- ## Current State Assessment ### ✅ What Works Today | Feature | Status | File | |---------|--------|------| | **Qwen LLM Integration** | ✅ Working | `bin/qwen-bridge.mjs`, `bin/goose-launch.mjs` | | **Electron GUI** | ✅ Working | `bin/goose-electron-app/main.cjs` | | **Chat Interface** | ✅ Working | `bin/goose-electron-app/renderer.js` (1970 lines) | | **Screenshots** | ✅ Working | `computer-use.cjs` - PowerShell capture | | **Mouse Click** | ✅ Working | PowerShell mouse_event simulation | | **Keyboard Input** | ✅ Working | SendKeys via PowerShell | | **Key Combinations** | ✅ Working | Ctrl+C, Alt+Tab, etc. | | **Shell Commands** | ✅ Working | `exec()` with timeout | | **Window Listing** | ✅ Working | Get-Process filtering | | **Window Focus** | ✅ Working | SetForegroundWindow via WinAPI | | **App Opening** | ✅ Working | Common apps mapped | | **Preview Panel** | ✅ Working | Webview for HTML preview | | **Playwright Bridge** | ⚠️ Basic | `playwright-bridge.js` - navigate/click/type | | **AI Suggestions** | ✅ Working | Pre-defined prompt cards | | **Terminal Panel** | ✅ Working | Command execution UI | ### ❌ What's Missing (vs. Goal) | Gap | Impact | Priority | |-----|--------|----------| | **No Vision/OCR Element Finding** | Can't "see" and click buttons by name | 🔴 CRITICAL | | **No Self-Correction Loop** | Doesn't verify if actions worked | 🔴 CRITICAL | | **No Vibe Coding Flow** | Can't create/preview apps like Lovable | 🔴 CRITICAL | | **No Project/File Management** | No file tree, save/load projects | 🟠 HIGH | | **No Embedded IDE** | No Monaco editor, syntax highlighting | 🟠 HIGH | | **No Server/SSH Management** | Can't deploy/manage remote servers | 🟡 MEDIUM | | **No Git Integration** | Can't commit/push/pull | 🟡 MEDIUM | | **Browser Automation is Surface-Level** | No DOM inspection, smart selectors | 🟡 MEDIUM | | **No Memory/Context Persistence** | Forgets between sessions | 🟡 MEDIUM | --- ## Reference Implementations Deep-Dive ### 1. Windows-Use (CursorTouch) **Best for: Desktop automation without computer vision** ``` windows_use/ ├── agent/ # Agent orchestration ├── llms/ # LLM providers (Ollama, Google, etc.) ├── messages/ # Conversation handling ├── tool/ # Tool definitions └── telemetry/ # Analytics ``` **Key Innovations:** - Uses **UIAutomation** (Windows Accessibility API) to find elements by name/role - **PyAutoGUI** for mouse/keyboard (more reliable than raw SendKeys) - Works with **any LLM** (Qwen, Gemini, Ollama) - not tied to specific models - **Grounding** - Shows how it "sees" the screen with labeled elements **What to Take:** - UIAutomation for element discovery (instead of blind x,y clicking) - Agent loop pattern with tool execution - LLM abstraction layer --- ### 2. Browser-Use **Best for: Comprehensive web automation** ``` browser_use/ ├── actor/ # Action execution ├── agent/ # Agent service ├── browser/ # Playwright wrapper ├── code_use/ # Code execution sandbox ├── controller/ # Action controller ├── dom/ # DOM manipulation & analysis ├── filesystem/ # File operations ├── llm/ # LLM integrations ├── mcp/ # Model Context Protocol ├── sandbox/ # Safe execution environment ├── skills/ # Reusable action patterns └── tools/ # Custom tool definitions ``` **Key Innovations:** - **Smart DOM analysis** - extracts meaningful selectors - **Multi-tab support** with session persistence - **Custom tools API** - `@tools.action(description='...')` - **Sandbox execution** for safe code running - **Cloud deployment** option - **Form filling with validation** - **CAPTCHA handling** (via stealth browsers) **What to Take:** - DOM extraction and smart selector logic - Tools/actions decorator pattern - Multi-tab browser session management - Sandbox for safe code execution --- ### 3. Open-Interface **Best for: Simple LLM → Screenshot → Execute loop** ``` app/ ├── core.py # Main orchestration loop ├── interpreter.py # Parse LLM responses ├── llm.py # LLM communication ├── ui.py # Tkinter UI (18KB) └── utils/ # Helpers ``` **Architecture:** ``` User Request → Screenshot → LLM → Parse Instructions → Execute → Repeat ``` **Key Innovations:** - **Course-correction** via screenshot feedback loop - **Stop button** + corner detection to interrupt - Simple, understandable architecture - Works across Windows/Mac/Linux **What to Take:** - The "screenshot → analyze → execute → verify" loop - Interrupt mechanisms (corner detection) - Cross-platform automation patterns --- ### 4. OpenCode TUI (sst/opencode) **Best for: Terminal-based IDE experience** ``` packages/ ├── core/ # Core logic ├── tui/ # Terminal UI (Ink-based) ├── lsp/ # Language Server Protocol └── ... ``` **Key Innovations:** - Uses **Bun** for speed - **LSP integration** for code intelligence - **SST** infrastructure for deployment - Beautiful TUI with Ink **What to Take:** - LSP integration for code completion/diagnostics - Bun for faster package management - TUI patterns (if we add TUI mode) --- ### 5. Mini-Agent (MiniMax) **Best for: Lightweight Python agent framework** ``` mini_agent/ ├── agent.py # Agent implementation ├── tools.py # Tool definitions └── memory.py # Context management ``` **What to Take:** - Memory/context management patterns - Simple agent abstraction --- ## Gap Analysis: Current State vs. Noob-Proof Vision ### 🎯 User Experience Goals | Goal | Current | Required | |------|---------|----------| | "Build me a website" | ❌ Can chat, can't create | ✅ One prompt → working preview | | "Click the Settings button" | ⚠️ Blind x,y click | ✅ Find element by name/OCR | | "Deploy this to my server" | ❌ No SSH | ✅ Connect, upload, run commands | | "Open my last project" | ❌ No persistence | ✅ Project save/load | | "Edit this file" | ❌ No editor | ✅ Monaco with syntax highlighting | | "Show me what you see" | ⚠️ Can screenshot | ✅ Annotated vision with element labels | --- ## Proposed Architecture ### Layered Super-Powers ``` ┌─────────────────────────────────────────────────────────────┐ │ GOOSE SUPER UI │ │ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌────────┐ │ │ │ Chat │ │ Preview │ │ Editor │ │ Browser │ │Terminal│ │ │ │ Panel │ │ Panel │ │ Panel │ │ Panel │ │ Panel │ │ │ └─────────┴─┴─────────┴─┴─────────┴─┴─────────┴─┴────────┘ │ └─────────────────────────────────────────────────────────────┘ │ ┌─────────────────────┼─────────────────────┐ ▼ ▼ ▼ ┌───────────────┐ ┌───────────────┐ ┌───────────────┐ │ AI BRAIN │ │ EXECUTION │ │ CONTEXT │ │ │ │ LAYER │ │ LAYER │ │ • Qwen Bridge │ │ • Computer Use│ │ • Memory │ │ • Planning │ │ • Browser Use │ │ • Projects │ │ • Verification│ │ • Server Mgmt │ │ • Sessions │ │ • Correction │ │ • File Ops │ │ • History │ └───────────────┘ └───────────────┘ └───────────────┘ ``` ### Phase-by-Phase Enhancement #### Phase 1: Vision & Smart Automation **Make the AI truly "see" and interact reliably** 1. **Add UIAutomation element discovery** (from Windows-Use) - Find buttons/inputs by name, not x,y - Label screenshot with element overlays 2. **Implement verification loop** (from Open-Interface) - After each action, screenshot and verify success - Self-correct if needed 3. **Enhanced computer-use.cjs** - Add `findElement(name)` using UIAutomation - Add `getElementsOnScreen()` for element listing - Add `clickElement(name)` for reliable interaction #### Phase 2: Vibe Coding Experience **Create apps from prompts like Lovable** 1. **Embedded Monaco Editor** - File tree sidebar - Multi-tab editing - Syntax highlighting - Live error detection 2. **Project System** - Create/save/load projects - Auto-scaffold HTML/CSS/JS - Template library 3. **Live Preview Enhancement** - Hot reload on file save - Dev server auto-start (Vite integration) - Console output in UI #### Phase 3: Full Automation Power **Control everything** 1. **Server Management** - SSH connection panel - Remote command execution - Log streaming - File upload/download 2. **Browser Automation** - DOM inspection - Smart element selectors - Multi-tab support - Cookie/auth persistence 3. **Git Integration** - Clone/commit/push - Branch management - Diff visualization #### Phase 4: Noob-Proof Polish **Make it intuitive for anyone** 1. **Onboarding Wizard** - API key setup - Permissions check - Quick tutorial 2. **AI Suggestions** - Context-aware suggestions - One-click actions - Visual tutorials 3. **Error Recovery** - Smart retry - User-friendly error messages - Undo/redo history --- ## Technical Debt to Address | Issue | Risk | Fix | |-------|------|-----| | PowerShell scripts for automation | Slow, fragile | Use native Node.js (robotjs/nut.js) | | 1970-line renderer.js | Hard to maintain | Modularize into components | | No TypeScript | Type errors | Migrate to TypeScript | | No tests | Regressions | Add jest/playwright tests | | Hardcoded paths | Portability | Use config files | --- ## Recommended Priorities ### 🔴 Immediate (Week 1) 1. Add UIAutomation element discovery 2. Implement screenshot → verify loop 3. Fix any existing bugs in computer-use ### 🟠 Short-term (Week 2-3) 4. Monaco Editor integration 5. Project save/load system 6. Enhanced preview with hot reload ### 🟡 Medium-term (Week 4-6) 7. SSH/Server management panel 8. Git integration 9. Browser DOM inspection ### 🟢 Long-term (Week 7+) 10. Onboarding wizard 11. AI-driven auto-correction 12. Multi-agent support --- ## Questions for User 1. **Which LLMs to support?** Currently Qwen only - add OpenAI/Claude/Ollama? 2. **Deployment target?** Windows only or also Mac/Linux? 3. **Cloud features?** Should Goose have cloud sync/remote execution? 4. **Monetization?** Any commercial plans affecting architecture? 5. **Performance priority?** Speed vs. reliability trade-off? --- ## Summary Goose Super has a solid foundation but needs these critical additions to become "noob-proof": 1. **Vision** - UIAutomation element discovery (not blind clicking) 2. **Verification** - Screenshot → analyze → correct loop 3. **IDE** - Monaco editor with project management 4. **Server** - SSH/deployment capabilities 5. **Polish** - Onboarding, error handling, undo/redo The reference repos provide excellent patterns to adopt. Windows-Use gives us UIAutomation. Browser-Use gives us smart DOM handling. Open-Interface gives us the verification loop. OpenCode gives us TUI patterns. **Next step recommendation:** Start with Phase 1 (Vision & Smart Automation) as it unblocks all other "noob-proof" features.