diff --git a/DASHBOARD.md b/DASHBOARD.md
index a8c4e6b..133c8c5 100644
--- a/DASHBOARD.md
+++ b/DASHBOARD.md
@@ -84,13 +84,14 @@ python3 generate_index.py
**What it scans:**
- `threejs_viz/threejs_viz_*.html` → Three.js demos
- `sdg_viz/sdg_viz_*.html` → SDG network visualizations
+- `d3_test/d3_viz_*.html` → D3 data visualizations
- `mapbox_test/mapbox_globe_*/index.html` → Mapbox globe visualizations
- `claude_code_devtools/claude_devtool_*.html` → Claude Code developer tools
- `src/ui_hybrid_*.html` → UI single-file components
- `src_infinite/ui_hybrid_*.html` → Infinite mode UI
- `src_group/ui_hybrid_*/index.html` → Modular UI components
-**Current stats:** 101 demos across 6 categories
+**Current stats:** 107 demos across 7 categories
### File Structure
@@ -111,6 +112,11 @@ infinite-agents/
│ ├── sdg_viz_2.html
│ └── ...
│
+├── d3_test/ # D3 data visualizations
+│ ├── d3_viz_1.html
+│ ├── d3_viz_2.html
+│ └── ...
+│
├── mapbox_test/ # Mapbox globe visualizations
│ ├── mapbox_globe_1/
│ │ └── index.html
@@ -314,7 +320,7 @@ python3 -m http.server 8889
firefox http://localhost:8889/
# Check status
-find threejs_viz sdg_viz src src_infinite src_group -name "*.html" | wc -l
+find threejs_viz sdg_viz d3_test mapbox_test claude_code_devtools src src_infinite src_group -name "*.html" | wc -l
```
## Future Enhancements
@@ -331,4 +337,4 @@ Potential improvements to consider:
**Last Updated:** October 9, 2025
**Current Version:** Dynamic auto-discovery
-**Total Demos:** 101 (and counting!)
+**Total Demos:** 107 (and counting!)
diff --git a/claude_code_devtools/README.md b/claude_code_devtools/README.md
index 2f90ca5..f600c80 100644
--- a/claude_code_devtools/README.md
+++ b/claude_code_devtools/README.md
@@ -1,7 +1,7 @@
# Claude Code Developer Tools
> **Generated via Web-Enhanced Infinite Agentic Loop**
-> 8 progressive self-contained tools for Claude Code observability, search, and coordination
+> 11 progressive self-contained tools for Claude Code observability, search, and coordination
## Overview
@@ -11,7 +11,7 @@ This collection demonstrates the **web-enhanced infinite agentic loop** pattern,
3. Applies those techniques to build a production-quality developer tool
4. Builds upon patterns from previous iterations
-**Total Generated**: 8 tools (258KB)
+**Total Generated**: 11 tools (391KB)
**Pattern**: Foundation → Intermediate → Advanced → Expert
**Approach**: Progressive web learning with parallel agent coordination
@@ -179,6 +179,77 @@ This collection demonstrates the **web-enhanced infinite agentic loop** pattern,
---
+### Wave 3: Advanced Tools (Iterations 9-11)
+
+#### 9. Web Worker Event Processor (38KB)
+**Web Source**: [MDN Web Workers API](https://developer.mozilla.org/en-US/docs/Web/API/Web_Workers_API/Using_web_workers)
+
+**Techniques Learned**:
+- `postMessage()` for main thread ↔ worker communication
+- Background processing pattern for CPU-intensive tasks
+- Worker lifecycle management (initialization, termination, error handling)
+
+**Features**:
+- Background analysis of large hook event datasets
+- 6 analysis types: pattern detection, error correlation, session metrics, agent comparison, anomaly detection
+- Real-time progress updates from worker thread
+- Processes thousands of events without blocking UI
+- Sample data generator for testing
+- Results displayed in organized cards
+
+**Purpose**: Process massive volumes of Claude Code hook events using Web Workers for background analysis without freezing the interface.
+
+---
+
+#### 10. IndexedDB Hook Event Store (42KB)
+**Web Source**: [MDN IndexedDB API](https://developer.mozilla.org/en-US/docs/Web/API/IndexedDB_API)
+
+**Techniques Learned**:
+- Database versioning and migrations with `onupgradeneeded`
+- Compound indexes for multi-field queries `[source_app, timestamp]`
+- `IDBKeyRange` for efficient time-based and value-based filtering
+- Cursor-based iteration for memory-efficient pagination
+- Transaction management for data integrity
+
+**Features**:
+- Persistent IndexedDB storage for hook events
+- Real-time WebSocket integration (ws://localhost:4000/stream)
+- Advanced multi-field filtering and querying
+- Cursor-based pagination (50 events per page)
+- Import/export JSON/JSONL files
+- Aggregated statistics (events per app/session/type)
+- Database size monitoring and cleanup
+- Sample data with all event types
+
+**Purpose**: Production-grade persistent storage for Claude Code hook events with efficient querying and real-time updates.
+
+---
+
+#### 11. D3 Agent Coordination Graph (53KB)
+**Web Source**: [Observable D3 Force-Directed Graph](https://observablehq.com/@d3/force-directed-graph)
+
+**Techniques Learned**:
+- Force simulation with multiple forces (`forceLink`, `forceManyBody`, `forceCenter`, `forceCollide`)
+- Node drag behavior with `dragstarted`, `dragged`, `dragended` handlers
+- Tick-based position updates for physics-based animation
+- Zoom and pan with `d3.zoom()` behavior
+
+**Features**:
+- Interactive force-directed graph visualization
+- Nodes: Agent sessions, Tools, Subagents, User prompts
+- Links: Tool usage, Subagent spawning, Temporal sequences
+- Draggable nodes with physics simulation
+- Configurable physics (repulsion, link distance, strength)
+- Timeline replay with play/pause controls
+- Real-time WebSocket updates
+- Rich tooltips with event details
+- Color-coded by entity type
+- Sample multi-agent scenario with 3 subagents
+
+**Purpose**: Visualize agent coordination patterns, tool usage relationships, and multi-agent workflows using interactive force-directed graphs.
+
+---
+
## 📊 Progressive Learning Demonstrated
### Foundation Level (1-4)
@@ -193,11 +264,23 @@ This collection demonstrates the **web-enhanced infinite agentic loop** pattern,
- **Interactivity**: Tooltips, sorting, filtering, animations
- **Pattern Matching**: Advanced regex, lookahead/behind, named groups
+### Advanced Level (9-11)
+- **Web Workers**: Background processing, postMessage communication, worker lifecycle
+- **Parallel Analysis**: Pattern detection, error correlation, session metrics
+- **Progress Tracking**: Real-time progress updates from worker threads
+- **IndexedDB**: Database versioning, compound indexes, cursor pagination, transactions
+- **Persistent Storage**: Real-time WebSocket integration, efficient querying
+- **Force Simulation**: D3 physics-based layout, draggable nodes, zoom/pan
+- **Graph Visualization**: Agent coordination, tool relationships, temporal sequences
+
### Knowledge Accumulation
Each tool builds on previous learnings:
- Tool 6 uses FileReader from Tool 1
- Tool 7 combines Canvas concepts from Tool 3 with D3 from Tool 6
- Tool 8 extends search patterns from Tool 6 with regex power
+- Tool 9 processes data from Tool 1 using Web Workers for scalability
+- Tool 10 extends storage from Tool 2 with production-grade IndexedDB
+- Tool 11 combines D3 from Tools 6-7 with force simulation for graphs
- All tools share dark theme UI and developer-focused design
---
@@ -227,10 +310,13 @@ Claude Code transcripts are stored at: `~/.claude/projects/[project-id]/transcri
### Recommended Workflow
1. **Tool 1**: Load transcripts initially
-2. **Tool 2**: Cache important sessions
+2. **Tool 2 or 10**: Cache important sessions (LocalStorage or IndexedDB)
3. **Tool 3**: Visualize timeline
4. **Tool 7**: Analyze productivity metrics
5. **Tool 6 or 8**: Search for specific patterns
+6. **Tool 9**: Process large event datasets with Web Workers
+7. **Tool 10**: Connect to live observability WebSocket feed
+8. **Tool 11**: Visualize multi-agent coordination patterns
---
@@ -298,11 +384,11 @@ Phase 5: Quality Validation
## 🔮 Future Waves (Planned)
-### Wave 3: Advanced Tools (9-12)
-- **Tool 9**: Web Workers for background search processing
-- **Tool 10**: IndexedDB for large-scale data storage
-- **Tool 11**: Force-directed conversation graph (D3)
-- **Tool 12**: Hierarchical sunburst for nested data
+### Wave 3: Advanced Tools (9-12) - ✅ 3/4 Complete
+- **Tool 9**: ✅ Web Workers for background event processing
+- **Tool 10**: ✅ IndexedDB for large-scale hook event storage
+- **Tool 11**: ✅ Force-directed agent coordination graph (D3)
+- **Tool 12**: Hierarchical sunburst for nested data (planned)
### Wave 4: Coordination Tools (13-16)
- **Tool 13**: Broadcast Channel for cross-tab messaging
@@ -339,24 +425,27 @@ Phase 5: Quality Validation
6. D3.js Getting Started
7. Observable D3 Bar Chart
8. MDN Regular Expressions
+9. MDN Web Workers API
+10. MDN IndexedDB API
+11. Observable D3 Force-Directed Graph
---
## 🎯 Key Achievements
### Technical
-✅ 8 self-contained developer tools (258KB total)
+✅ 11 self-contained developer tools (391KB total)
✅ Progressive web learning from real documentation
✅ Zero external dependencies (except D3 CDN)
-✅ Modern web APIs: FileReader, LocalStorage, Canvas, SVG, D3
-✅ Advanced patterns: regex lookahead/behind, named groups, data binding
+✅ Modern web APIs: FileReader, LocalStorage, Canvas, SVG, D3, Web Workers, IndexedDB, WebSocket
+✅ Advanced patterns: regex lookahead/behind, named groups, data binding, background processing, force simulation
### Process
✅ Web-enhanced infinite loop successfully demonstrated
✅ Parallel agent coordination with unique web assignments
✅ Knowledge accumulation across iterations
✅ Documented learning with source attribution
-✅ Progressive difficulty: foundation → intermediate
+✅ Progressive difficulty: foundation → intermediate → advanced
### Design
✅ Consistent dark theme across all tools
@@ -372,8 +461,8 @@ Phase 5: Quality Validation
- **HTML5**: Semantic structure, Canvas, SVG
- **CSS3**: Grid, Flexbox, Transitions, Custom Properties
- **JavaScript ES6+**: Async/await, Classes, Arrow functions
-- **D3.js v7**: Data binding, scales, transitions
-- **Web APIs**: FileReader, LocalStorage, Canvas, Storage Events
+- **D3.js v7**: Data binding, scales, transitions, force simulation
+- **Web APIs**: FileReader, LocalStorage, IndexedDB, Canvas, Storage Events, Web Workers, WebSocket
- **Regex**: Advanced patterns with lookbehind/ahead
---
@@ -401,5 +490,6 @@ These tools are generated as examples of the web-enhanced infinite agentic loop
**Generated**: October 9, 2025
**Process**: Web-Enhanced Infinite Agentic Loop
-**Total Iterations**: 8 (Foundation + Intermediate)
-**Remaining Waves**: 4 (Advanced, Coordination, Expert, ML-Enhanced)
+**Total Iterations**: 11 (Foundation + Intermediate + Advanced)
+**Wave 3 Status**: 3/4 complete (Tools 9-11 ✅, Tool 12 remaining)
+**Remaining Waves**: Wave 3 completion, then Waves 4-6 (Coordination, Expert, ML-Enhanced)
diff --git a/claude_code_devtools/claude_devtool_10.html b/claude_code_devtools/claude_devtool_10.html
new file mode 100644
index 0000000..4474cb1
--- /dev/null
+++ b/claude_code_devtools/claude_devtool_10.html
@@ -0,0 +1,1105 @@
+
+
+
+
+
+ IndexedDB Event Store - Claude Code DevTools
+
+
+
+
+
🗄️ IndexedDB Event Store
+
Production-grade persistent storage for Claude Code hook events
+
+
+
+
+
+
+
+ Database: Initializing...
+
+
+
+ WebSocket: Disconnected
+
+
+ Events Stored: 0
+
+
+ DB Size: 0 KB
+
+
+
+
+
+
+
🔌 WebSocket Connection
+
+
+
+
+
+
+
📂 Import/Export
+
+
+
+
+
+
+
🧹 Maintenance
+
+
+
+
+
+
+
+
+
🔍 Advanced Query Interface
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
📊 Query Results
+
+
+ No events to display. Connect to WebSocket or import events to get started.
+
+
+
+
+ Page 1 of 1
+
+
+
+
+
+
+
📈 Event Statistics
+
+
+
+
+
+
+
+
About This Tool
+
+
Purpose
+
Production-grade persistent storage system for Claude Code hook events using IndexedDB. Store, query, and analyze thousands of events with advanced filtering, compound indexes, and real-time updates from the observability server.
+
+
Features
+
+
IndexedDB Storage: Persistent local database with compound indexes for efficient queries
+
Real-time Updates: Connect to WebSocket server (ws://localhost:4000/stream) for live event streaming
+
Multi-Field Indexing: Compound indexes on (source_app, timestamp) and (session_id, event_type)
+
Advanced Queries: Filter by app, session, event type, and time range with cursor-based pagination
+
Event Aggregation: Statistics by app, session, event type, and time period
+
Import/Export: Load events from JSON/JSONL files and export filtered results
+
Database Management: Size monitoring, cleanup, and sample data generation
+
Cursor-based Pagination: Efficiently iterate over large result sets without loading all data
Database Versioning & Migrations: Used indexedDB.open() with version management and onupgradeneeded event to create object stores and indexes dynamically
+
Compound Indexes: Created multi-field indexes like [source_app, timestamp] and [session_id, event_type] for efficient filtering on multiple criteria simultaneously
+
IDBKeyRange for Filtering: Leveraged IDBKeyRange.bound() and IDBKeyRange.only() for precise time-based and value-based filtering
+
Cursor-based Iteration: Implemented IDBCursor with openCursor() for memory-efficient pagination over large datasets without loading all records
+
Transaction Management: Used read/write transactions with proper scope limiting to ensure data integrity and performance
+
+
+
Usage
+
+
Connect to WebSocket: Click "Connect to Stream" to receive real-time events from ws://localhost:4000/stream
+
Import Events: Upload JSON/JSONL files containing hook events from the observability system
+
Query Events: Use filters to search by app, session, event type, or time range
+
View Statistics: Analyze event distribution across apps, sessions, and event types
+
Export Results: Download filtered events as JSON for backup or analysis
+
Pagination: Navigate through large result sets using Previous/Next buttons
+
+
+
Event Structure
+
Events from the multi-agent observability system have this structure:
+
+
id: Auto-incrementing unique identifier
+
source_app: Application that generated the event (e.g., "demo-agent")
+
session_id: Unique session identifier
+
hook_event_type: Type of hook event (PreToolUse, PostToolUse, etc.)
+
payload: Event-specific data (tool name, inputs, outputs)
+
timestamp: ISO 8601 timestamp
+
summary: AI-generated summary of the event
+
+
+
IndexedDB Schema
+
Database: HookEventsDB, Version: 1
+
Object Store: events
+
+
Key Path: id (auto-increment)
+
Index 1: source_app
+
Index 2: session_id
+
Index 3: hook_event_type
+
Index 4: timestamp
+
Index 5: app_time (compound: [source_app, timestamp])
+
Index 6: session_type (compound: [session_id, hook_event_type])
+ • Drag nodes to reposition
+ • Scroll to zoom in/out
+ • Hover for details
+ • Click to focus
+
+
+
+
+
+
+
About This Tool
+
+
Purpose
+
The D3 Agent Coordination Graph visualizes the complex relationships between Claude Code agents, tools, and subagents in multi-agent systems. It uses D3's force-directed graph layout to reveal coordination patterns, tool usage frequencies, and agent spawning hierarchies through an interactive network visualization.
+
+
Features
+
+
Force-Directed Layout - Automatic physics-based node positioning with configurable forces
+
Interactive Node Dragging - Manually reposition nodes to explore relationships
+
Zoom & Pan - Navigate large coordination graphs with smooth zoom and pan
+
Real-time Updates - Optional WebSocket connection for live event streaming
+
Timeline Replay - Step through events to see graph evolution over time
+
Multi-Source Data - Import from files or connect to live observability server
+
Activity-Based Sizing - Node size reflects event count and usage frequency
+
Color-Coded Entities - Visual distinction between agents, tools, and subagents
+
Rich Tooltips - Detailed information on hover with event counts and metadata
+
Configurable Physics - Adjust repulsion, link distance, and connection strength
Force Simulation Setup - Implemented d3.forceSimulation() with forceLink() for connection strength, forceManyBody() for node repulsion, and forceCenter() for centering. Each force is independently configurable via UI controls.
+
Node Drag Behavior - Applied d3.drag() with three event handlers: dragstarted fixes node position and restarts simulation alpha, dragged updates coordinates in real-time, and dragended releases constraints while allowing simulation to settle.
+
Tick-Based Animation - Utilized simulation's tick event to continuously update SVG element positions (links via x1, y1, x2, y2 attributes and nodes via transform translation), creating smooth physics-based animation.
+
+
+
Graph Data Structure
+
The visualization processes Claude Code hook events into a graph structure:
Background analysis of Claude Code hook events using Web Workers
+
+
+
+
+
📥 Load Hook Events
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
🔄 Worker Status
+
+
+ No worker initialized
+
+
+
+
0%
+
+
Initializing...
+
+
+
+
+
📊 Analysis Results
+
+
+
Load event data and run analysis to see results
+
+
+
+
+
+
About This Tool
+
+
Purpose
+
Process large volumes of Claude Code hook events in the background using Web Workers. Analyze patterns, detect errors, compare agent behavior, and identify anomalies without blocking the UI.
+
+
Features
+
+
Background Processing: Uses Web Workers to analyze thousands of events without freezing the UI
+
Pattern Detection: Identifies common tool usage sequences and workflows
+
Error Correlation: Finds tools that frequently fail together
+
Session Analysis: Calculates productivity metrics and session duration
+
Agent Comparison: Compares behavior across multiple agents/sessions
+
Anomaly Detection: Identifies unusual patterns and outliers
+
Real-time Progress: Shows analysis progress with percentage updates
+
Sample Data Included: Test with realistic hook event scenarios