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Thread Session Manager for VS Code

Intelligent thread session management for AI assistants - Reduce token usage by 40%+ through smart task decomposition

Version License VS Code

πŸš€ Quick Start - Run the Application

Start All Services

1. Start the VS Code Extension (Development Mode)

# Press F5 in VS Code to launch Extension Development Host
# OR run:
npm run watch

2. Start the Web Interface

cd web
npm install
npm run dev
# Web UI will be available at http://localhost:5173

3. Start the Backend Server

cd server
npm install
npm run dev
# Server will run at http://localhost:3000

Complete Setup Commands

# Install all dependencies
npm install

# Start extension in watch mode
npm run watch

# In separate terminals:
# Terminal 1 - Web UI
cd web && npm run dev

# Terminal 2 - Backend Server
cd server && npm run dev

🎯 Overview

Thread Session Manager is a VS Code extension that intelligently breaks down large AI assistant tasks into isolated thread sessions, dramatically reducing token usage while maintaining context quality. With special integration for Bob/Cline and support for other AI assistants, it provides a seamless experience for managing complex development workflows.

Key Features

  • 🧡 Intelligent Thread Management - Automatic, manual, and AI-suggested thread creation
  • πŸ“Š Real-time Token Tracking - Monitor usage with predictive alerts
  • 🎯 Minimal Context Isolation - Each thread maintains only essential context
  • 🌳 Visual Thread Hierarchy - Tree and timeline views for easy navigation
  • πŸ”€ Advanced Operations - Branch, merge, and compare threads
  • πŸ“ˆ Analytics Dashboard - Track efficiency and token savings
  • πŸ€– Bob Integration - Seamless integration with Bob/Cline AI assistant
  • πŸ”Œ Extensible Architecture - Support for multiple AI assistants

πŸ“Έ Screenshots

Dashboard Overview

Arbitrium Dashboard

Thread Tree View

πŸ“ Thread Sessions
β”œβ”€β”€ 🟒 Main Implementation (Active) - 45.2K/50K tokens
β”‚   β”œβ”€β”€ 🟑 Database Setup (Paused)
β”‚   └── βœ… API Integration (Completed)
└── βœ… Initial Planning (Completed)

Analytics Dashboard

Token Savings: 295K (41%)
Active Threads: 3
Efficiency Score: 8.5/10

πŸš€ Quick Start

Installation

  1. Open VS Code
  2. Press Ctrl+P (or Cmd+P on Mac)
  3. Type ext install thread-session-manager
  4. Press Enter

Basic Usage

  1. Create a Thread

    Press Ctrl+Shift+T N
    Enter thread name
    Start working with your AI assistant
    
  2. Monitor Token Usage

    Check status bar: [🧡 Thread Name] [πŸ“Š 45.2K tokens] [⚠️ 90%]
    Extension alerts you when approaching limits
    
  3. Split When Needed

    Accept AI suggestion or manually create new thread
    Minimal context automatically transferred
    Continue with fresh token budget
    
  4. View Analytics

    Press Ctrl+Shift+T A
    Review token savings and efficiency metrics
    

πŸ“š Documentation

Planning Documents

Key Concepts

Thread Sessions

Isolated conversation contexts with independent token budgets. Each thread maintains minimal shared context (≀1000 tokens) while preserving essential decisions, artifacts, and dependencies.

Token Tracking

Real-time monitoring of token usage with configurable thresholds:

  • Warning: 80% (40K tokens)
  • Critical: 90% (45K tokens)
  • Limit: 100% (50K tokens)

Context Isolation

Each thread receives only essential context:

  • Key Decisions (40% of budget) - Critical architectural choices
  • Artifacts (40% of budget) - Generated files and code
  • Dependencies (20% of budget) - Required packages and services

AI-Driven Suggestions

Machine learning analyzes your conversation to:

  • Detect optimal thread boundaries
  • Estimate task complexity
  • Extract logical subtasks
  • Suggest thread names

🎨 Features in Detail

Thread Management

Feature Description Shortcut
Create Thread Start new isolated thread Ctrl+Shift+T N
Switch Thread Change active thread Ctrl+Shift+T S
Branch Thread Create branch from current Ctrl+Shift+T B
Merge Threads Combine multiple threads Ctrl+Shift+T M
Show Tree Display thread hierarchy Ctrl+Shift+T V
Show Timeline View chronological history -
Show Analytics Open analytics dashboard Ctrl+Shift+T A
Compare Threads Side-by-side diff view -

Token Management

  • Real-time Counting - Accurate token counting using tiktoken
  • Threshold Monitoring - Configurable alerts at 80%, 90%, 100%
  • Predictive Analytics - Estimate future token usage
  • Auto-split Suggestions - AI-driven boundary detection

Context Summarization

  • Automatic Extraction - Key decisions, artifacts, dependencies
  • Smart Compression - Optimize summary size while preserving meaning
  • Incremental Updates - Efficient context updates as conversation progresses
  • Quality Metrics - Track context relevance and completeness

Visualization

  • Tree View - Hierarchical thread display with status indicators
  • Timeline View - Chronological thread history with branch points
  • Analytics Dashboard - Token usage, efficiency metrics, trends
  • Diff Viewer - Compare thread states and contexts

Integration

  • Bob/Cline - Native integration with automatic context injection
  • Generic Adapter - Support for Continue, Copilot, and custom assistants
  • Plugin System - Extensible adapter architecture
  • API Hooks - Message interception and context passing

βš™οΈ Configuration

Essential Settings

{
  "threadSession.tokenThreshold": 50000,
  "threadSession.autoSplitEnabled": true,
  "threadSession.contextSummaryMaxTokens": 1000,
  "threadSession.aiSuggestionsEnabled": true,
  "threadSession.bobIntegration.enabled": true
}

Advanced Settings

{
  "threadSession.defaultIsolationLevel": "minimal",
  "threadSession.autoBackupInterval": 300,
  "threadSession.maxThreadDepth": 5,
  "threadSession.analytics.trackUsage": true,
  "threadSession.performance.lazyLoading": true
}

See Configuration Guide for all available settings.

πŸ—οΈ Architecture

High-Level Components

Thread Session Manager
β”œβ”€β”€ Core
β”‚   β”œβ”€β”€ ThreadSessionManager - Central orchestrator
β”‚   β”œβ”€β”€ ThreadSession - Individual thread model
β”‚   └── ThreadHierarchy - Parent-child relationships
β”œβ”€β”€ Tracking
β”‚   β”œβ”€β”€ TokenCounter - Real-time token counting
β”‚   β”œβ”€β”€ ThresholdMonitor - Alert system
β”‚   └── TokenPredictor - Usage prediction
β”œβ”€β”€ Context
β”‚   β”œβ”€β”€ ContextExtractor - Extract key information
β”‚   β”œβ”€β”€ SummaryGenerator - Generate summaries
β”‚   └── ContextCompressor - Optimize size
β”œβ”€β”€ AI
β”‚   β”œβ”€β”€ TaskComplexityAnalyzer - Assess task size
β”‚   β”œβ”€β”€ ThreadBoundaryDetector - Suggest splits
β”‚   └── SubtaskExtractor - Identify subtasks
β”œβ”€β”€ Storage
β”‚   β”œβ”€β”€ ThreadStorage - Persist data
β”‚   β”œβ”€β”€ SessionCache - In-memory cache
β”‚   └── BackupManager - Automatic backups
β”œβ”€β”€ UI
β”‚   β”œβ”€β”€ ThreadTreeView - Hierarchical display
β”‚   β”œβ”€β”€ ThreadTimelineView - Chronological view
β”‚   β”œβ”€β”€ AnalyticsDashboard - Metrics display
β”‚   └── ThreadDiffViewer - Comparison tool
└── Integration
    β”œβ”€β”€ BobAdapter - Bob-specific hooks
    └── GenericAIAdapter - Universal interface

See Architecture Documentation for detailed design.

πŸ“Š Performance

Targets

Operation Target Status
Extension Activation <500ms ⏳ Pending
Thread Switch <100ms ⏳ Pending
Token Count Update <50ms ⏳ Pending
Context Summary <500ms ⏳ Pending
UI Render <200ms ⏳ Pending

Scalability

  • Supports 1000+ threads per workspace
  • Handles threads with 100K+ tokens
  • Efficient memory usage through lazy loading
  • Background processing for heavy operations

πŸ§ͺ Development

Prerequisites

  • Node.js 18+
  • VS Code 1.80+
  • TypeScript 5.0+

Setup

# Clone repository
git clone https://github.com/yourusername/thread-session-manager.git
cd thread-session-manager

# Install dependencies
npm install

# Compile TypeScript
npm run compile

# Watch for changes
npm run watch

Testing

# Run all tests
npm test

# Run specific test suite
npm test -- --grep "ThreadSessionManager"

# Watch tests
npm run watch-tests

Debugging

  1. Open project in VS Code
  2. Press F5 to launch Extension Development Host
  3. Set breakpoints in source code
  4. Test extension functionality

See Developer Guide for detailed instructions.

🀝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Development Process

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Code Style

  • Follow TypeScript best practices
  • Use ESLint and Prettier
  • Write tests for new features
  • Document public APIs with JSDoc
  • Keep functions small and focused

πŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

πŸ™ Acknowledgments

  • VS Code Extension API team
  • tiktoken library maintainers
  • Bob/Cline development team
  • Open source community

πŸ“ž Support

πŸ“ˆ Status

Current Version: 0.1.0 (Planning Phase)
Status: Ready for Implementation
Last Updated: 2026-05-02


Made with ❀️ for the AI-assisted development community

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