AI-Powered Computer Control for Windows

Modern UI Redesign - Novel & Intuitive Interface

Install Quickstart Releases

Modern UI Redesign - Novel & Intuitive Interface

Date: October 2, 2025

Overview

We’ve completely redesigned the menu structure to be modern, intuitive, and properly reflect the multi-agent architecture. The old confusing structure (LLM → Setup → Azure OpenAI) has been replaced with a logical, emoji-enhanced, feature-complete menu system.

❌ Old Menu Structure (Confusing)

File
├─ Tools
└─ New Chat

Vision
└─ OmniParser

LLM                    ← Confusing! Only shows Azure?
└─ Setup
    └─ Azure OpenAI    ← Where are other models?

Reason                 ← What does this even do?

Problems:

  • ❌ “LLM → Setup → Azure OpenAI” implies only Azure works
  • ❌ No way to configure Planner or Coordinator agents
  • ❌ No way to configure GitHub agent
  • ❌ “Reason” menu item doesn’t work
  • ❌ No visibility into multi-agent mode
  • ❌ No way to access new features (export, visualizers)
  • ❌ Not intuitive - users had to guess

✅ New Menu Structure (Modern & Clear)

📁 File
├─ 🔧 Tools
├─ 🆕 New Chat
└─ 📤 Export Chat
    ├─ 📄 Export to JSON
    ├─ 📝 Export to Markdown
    ├─ 🐛 Export Debug Log (with Tools)
    └─ 📋 Copy to Clipboard

⚙️ Setup
├─ 🔧 Tools
├─ 🤖 AI Agents
│   ├─ ⚡ Actioner Agent (Primary)
│   ├─ 📋 Planner Agent
│   ├─ 🎯 Coordinator Agent
│   └─ 🐙 GitHub Agent
├─ 🔭 Vision Tools
│   └─ 📸 OmniParser Config
└─ 🔀 Multi-Agent Mode ✓

👁️ View
├─ 📊 Activity Monitor ✓
└─ 🎯 Execution Visualizer ✓

❓ Help
├─ ℹ️ About
└─ 📚 Documentation

🎨 Design Principles

1. Emoji Visual Language 🎨

Every menu item has an emoji for instant recognition:

  • 🤖 = AI Agents
  • 🔧 = Configuration/Tools
  • 📊 = Monitoring/Analytics
  • 🎯 = Execution/Action
  • 📤 = Export/Share
  • ℹ️ = Information/Help

Why? Faster visual scanning, more engaging, modern UI standards.

2. Logical Grouping 📋

Related items are grouped together:

  • File: Document operations (new, export)
  • Setup: Configuration (agents, tools, vision)
  • View: UI panels (monitor, visualizer)
  • Help: Information (about, docs)

3. Clear Hierarchy 🌳

Max 2-3 levels deep. No confusing nested menus.

4. Descriptive Labels 📝

“Actioner Agent (Primary)” tells you:

  • What it is (Actioner Agent)
  • Its role (Primary execution agent)

5. Checkboxes for Toggles ✓

Visual feedback for ON/OFF states:

  • ✓ Multi-Agent Mode (enabled)
  • ✓ Activity Monitor (visible)

🆕 New Features Exposed

AI Agent Configuration

All 4 agents now accessible:

  1. ⚡ Actioner Agent (Primary)
    • The main execution agent
    • Handles single-agent mode
    • Choose: Azure OpenAI, LM Studio, or GitHub Models
  2. 📋 Planner Agent
    • Plans step-by-step execution
    • Used in multi-agent mode
    • Separate model configuration
  3. 🎯 Coordinator Agent
    • User interface and routing
    • Used in multi-agent mode
    • Separate model configuration
  4. 🐙 GitHub Agent
    • Specialized for GitHub operations
    • Independent configuration
    • Can use GitHub Models free tier

Each opens the unified AIProviderConfigForm with:

  • Azure OpenAI (Cloud)
  • LM Studio (Local)
  • GitHub Models (Free Tier)

Multi-Agent Mode Toggle

Setup → 🔀 Multi-Agent Mode (checkbox)

  • Unchecked (OFF): Direct Actioner execution
    • Fast, simple tasks
    • Single AI agent
    • Good for straightforward commands
  • Checked (ON): Coordinator → Planner → Actioner workflow
    • Complex, multi-step tasks
    • Up to 25 steps
    • Adaptive planning
    • Better for workflows

Visual Feedback: When toggled, shows message in chat:

System: Multi-Agent Mode enabled. Using Coordinator → Planner → 
Actioner workflow with up to 25 steps.

Export Chat Menu

File → 📤 Export Chat

4 export formats instantly accessible:

  • JSON: Machine-readable, for analysis
  • Markdown: Human-readable, for docs
  • Debug Log: Includes tool calls, for troubleshooting
  • Clipboard: Quick copy-paste

No more hunting for export features!

View Menu (Future-Ready)

👁️ View

Toggleable UI panels:

  • 📊 Activity Monitor: Real-time system status
  • 🎯 Execution Visualizer: Step-by-step progress

Currently shows “coming soon” but infrastructure is ready

💡 Novel Features

1. Per-Agent Configuration ⭐

What’s Novel: Each agent (Actioner, Planner, Coordinator, GitHub) can use a different AI provider.

Example Configuration:

Actioner:    Azure GPT-4 (powerful, expensive)
Planner:     LM Studio Llama 3 (local, free)
Coordinator: GitHub Phi-4 (fast, free tier)
GitHub:      GitHub Models (specialized)

Why Novel: Mix and match based on:

  • Cost: Use free for simple, paid for complex
  • Latency: Local for speed, cloud for power
  • Privacy: Keep sensitive data local
  • Specialization: Use best model for each role

2. Visual Mode Indicator ⭐

What’s Novel: Checkbox shows current execution mode at a glance.

✓ Multi-Agent Mode    ← 3-agent workflow active
  Multi-Agent Mode    ← Single agent (direct)

Why Novel: Instant visibility into how your commands will execute. No guessing.

3. Emoji Visual Language ⭐

What’s Novel: Every menu item has a semantic emoji.

Why Novel:

  • Faster visual scanning
  • Works across languages
  • More engaging/modern
  • Accessibility (visual cues)

4. Unified Agent Config ⭐

What’s Novel: One form configures all 3 providers (Azure, LM Studio, GitHub) for any agent.

Traditional Approach:

  • Separate form per provider
  • Confusing which model is active
  • Hard to switch

Our Approach:

  • Single unified form
  • Dropdown to switch providers
  • Clear visual indication
  • Save/Test buttons

🎯 User Experience Improvements

Before:

User: "How do I configure the planner agent?"
Answer: "You can't from the UI, edit config files manually"

User: "Can I use LM Studio for the coordinator?"
Answer: "Yes but you need to edit JSON"

User: "How do I enable multi-agent mode?"
Answer: "Tools → Enable Multi-Agent checkbox"

User: "How do I export chat for debugging?"
Answer: "You can't, check the log files"

After:

User: "How do I configure the planner agent?"
Answer: "Setup → AI Agents → Planner Agent"

User: "Can I use LM Studio for the coordinator?"
Answer: "Setup → AI Agents → Coordinator Agent → 
         Choose 'LM Studio (Local)'"

User: "How do I enable multi-agent mode?"
Answer: "Setup → Multi-Agent Mode (click checkbox)"

User: "How do I export chat for debugging?"
Answer: "File → Export Chat → Export Debug Log"

Everything is discoverable!

📊 Menu Structure Details

File Menu

📁 File
├─ 🔧 Tools (Configure plugins)
├─ 🆕 New Chat (Clear conversation)
└─ 📤 Export Chat
    ├─ 📄 Export to JSON
    ├─ 📝 Export to Markdown  
    ├─ 🐛 Export Debug Log (with Tools)
    └─ 📋 Copy to Clipboard

Purpose: Document/conversation operations

Setup Menu

⚙️ Setup
├─ 🔧 Tools (Plugin configuration)
├─ 🤖 AI Agents
│   ├─ ⚡ Actioner Agent (Primary) 
│   ├─ 📋 Planner Agent
│   ├─ 🎯 Coordinator Agent
│   └─ 🐙 GitHub Agent
├─ 🔭 Vision Tools
│   └─ 📸 OmniParser Config
└─ 🔀 Multi-Agent Mode ✓

Purpose: System configuration

AI Agents submenu - Each opens AIProviderConfigForm:

  • Agent name in title
  • All 3 providers available
  • Independent configuration per agent

Multi-Agent Mode - Toggle with instant feedback:

  • Checkbox shows current state
  • Click to toggle
  • System message confirms change
  • Explains what mode does

View Menu

👁️ View
├─ 📊 Activity Monitor ✓
└─ 🎯 Execution Visualizer ✓

Purpose: Toggle UI panels

Activity Monitor:

  • Real-time system status
  • AI/ONNX/Browser states
  • Color-coded activity log
  • Export capability

Execution Visualizer:

  • Step-by-step progress
  • Status icons per step
  • Progress bar
  • Auto-scroll

Currently placeholder, full integration coming

Help Menu

❓ Help
├─ ℹ️ About
└─ 📚 Documentation

Purpose: Information and help

About:

  • Version information
  • Feature list
  • GitHub link
  • Quick reference

Documentation:

  • Opens GitHub Wiki
  • Comprehensive guides
  • API documentation
  • Examples

🔧 Technical Implementation

// Old way (limited)
LLM → Setup → Azure OpenAI

// New way (comprehensive)
Setup → AI Agents → [Choose Agent] → [Configure Any Provider]

Event Handlers

Agent Configuration:

private void actionerAgentToolStripMenuItem_Click(object sender, EventArgs e)
{
    AIProviderConfigForm configForm = new AIProviderConfigForm("actioner");
    configForm.ShowDialog();
}

Multi-Agent Toggle:

private void multiAgentModeToolStripMenuItem_Click(object sender, EventArgs e)
{
    var toolConfig = ToolConfig.LoadConfig("toolsconfig");
    toolConfig.EnableMultiAgentMode = multiAgentModeToolStripMenuItem.Checked;
    toolConfig.SaveConfig("toolsconfig");
    
    AddMessage("System", $"Multi-Agent Mode {status}...");
}

State Persistence:

// On Form Load
var toolConfig = ToolConfig.LoadConfig("toolsconfig");
multiAgentModeToolStripMenuItem.Checked = toolConfig.EnableMultiAgentMode;

🎯 Benefits

For Users

  • ✅ Discoverable: All features visible in menus
  • ✅ Intuitive: Logical grouping and clear labels
  • ✅ Visual: Emojis provide instant recognition
  • ✅ Flexible: Configure each agent independently
  • ✅ Transparent: See current mode at a glance

For Support

  • ✅ Easy to Guide: “Go to Setup → AI Agents → Actioner”
  • ✅ Clear State: Checkboxes show current configuration
  • ✅ Export Tools: Users can send debug logs easily
  • ✅ Less Confusion: No more “where do I configure X?”

For Developers

  • ✅ Extensible: Easy to add new menu items
  • ✅ Consistent: All agents use same config form
  • ✅ Maintainable: Clear hierarchy and naming
  • ✅ Future-Ready: View menu ready for new panels

📋 Migration Guide

Old → New Mapping

Old Location New Location
LLM → Setup → Azure OpenAI Setup → AI Agents → Actioner Agent
(No way to config planner) Setup → AI Agents → Planner Agent
(No way to config coordinator) Setup → AI Agents → Coordinator Agent
Vision → OmniParser Setup → Vision Tools → OmniParser Config
Tools → (checkbox) Setup → Multi-Agent Mode
(No export) File → Export Chat → [4 formats]

🚀 Future Enhancements

Planned Features

  1. Quick Config Panel
    • Floating panel with most-used settings
    • One-click agent switching
    • Live status indicators
  2. Visual Agent Pipeline
    • Diagram showing: User → Coordinator → Planner → Actioner
    • Highlight active agent
    • Show which model each uses
  3. Preset Configurations
    • Save/Load entire configurations
    • “Power User” preset (all cloud)
    • “Privacy” preset (all local)
    • “Budget” preset (all free)
  4. Smart Suggestions
    • “This task works better with multi-agent mode”
    • “Your planner agent is slower than actioner”
    • “Consider using local model for privacy”
  5. Model Performance Metrics
    • Response times per agent
    • Token usage tracking
    • Cost estimation
    • Success rates

✅ Build Status

✅ New menu structure: Implemented
✅ All 4 agents: Accessible
✅ Multi-agent toggle: Working
✅ Export menu: Functional
✅ View menu: Prepared (placeholder)
✅ Help menu: Functional
✅ State persistence: Working
✅ Emoji support: Rendering correctly
✅ Compilation: 0 errors
✅ No breaking changes

📸 Visual Examples

┌──────────────────────────────────┐
│ 📁 File  ⚙️ Setup  👁️ View  ❓ Help │
└──────────────────────────────────┘
     │
     ├─ 🔧 Tools
     ├─ 🆕 New Chat
     └─ 📤 Export Chat ───┐
                          ├─ 📄 Export to JSON
                          ├─ 📝 Export to Markdown
                          ├─ 🐛 Export Debug Log
                          └─ 📋 Copy to Clipboard

Agent Configuration

Setup → 🤖 AI Agents ───┐
                        ├─ ⚡ Actioner Agent (Primary)
                        ├─ 📋 Planner Agent
                        ├─ 🎯 Coordinator Agent
                        └─ 🐙 GitHub Agent

Mode Indication

Setup
├─ ... other items ...
└─ 🔀 Multi-Agent Mode ✓   ← Currently enabled

🎉 Summary

What Changed

  • ❌ Removed confusing “LLM” and “Reason” menus
  • ✅ Added comprehensive “Setup” menu
  • ✅ Added all 4 AI agents to menu
  • ✅ Added multi-agent mode toggle
  • ✅ Added export capabilities
  • ✅ Added view menu for future panels
  • ✅ Added help menu
  • ✅ Enhanced with emoji visual language

Impact

Before: Confusing, limited, users had to edit config files After: Intuitive, comprehensive, everything discoverable from UI

Novel Aspects

  1. Per-agent model configuration (mix and match)
  2. Visual mode indicator (checkbox)
  3. Emoji-enhanced menu system
  4. Unified configuration form
  5. 4-format export system

The UI is now modern, intuitive, and properly reflects the powerful multi-agent architecture underneath! 🎨✨