An analysis tool for Claude Code that automatically captures, archives, and analyzes your AI development conversations. Features a React dashboard with real-time updates, hybrid search (FTS + semantic embeddings), AI-powered insights, and session similarity search across all your sessions.
What It Does
Claude Code Analytics transforms your AI development workflow into actionable insights:
- Automatically captures every conversation when you exit Claude Code
- Real-time import — a file watcher detects new sessions and imports them instantly, with SSE push to the UI
- Stores and indexes conversations in a searchable SQLite database with FTS5
- React dashboard — modern SPA with virtual scrolling, command palette (Cmd+K), and dark mode
- Session similarity search — hybrid FTS + semantic embeddings with sort by relevance/date and infinite scroll pagination
- AI-powered analysis of your development sessions using 300+ LLM models
Prerequisites
Before installing, you need:
- Claude Code - The AI coding assistant (this tool captures its conversations)
- Python 3.10+ - Check with
python3 --version - Node.js 18+ and npm - Check with
node -vandnpm -v- macOS:
brew install node - Linux: See nodejs.org
- macOS:
- jq - JSON processor for installation script (optional but recommended)
- macOS:
brew install jq - Linux:
apt-get install jqoryum install jq
- macOS:
Compatibility
Testing Status: This is an alpha release (v0.1.0) that has been tested on:
- macOS 14.7 (Sonoma)
- Python 3.10-3.12 (CI tested on Ubuntu and macOS)
- Claude Code 2.1.x
Platform Support:
- ✅ macOS: Fully tested and supported
⚠️ Linux: Likely compatible (CI tests pass on Ubuntu) but not extensively tested on user systems- ❓ Windows: Untested - hook scripts may require WSL or adaptation
If you encounter platform-specific issues, please report them on GitHub.
Quick Start
1. Install
git clone https://github.com/sujankapadia/claude-code-analytics.git
cd claude-code-analytics
./install.shThe installer automatically:
- Installs the Python package and all dependencies
- Builds the React frontend (
npm install && npm run build) - Sets up hooks to capture conversations
- Creates the CLI commands
- Configures Claude Code settings
2. Import Existing Conversations
This creates the database, imports all existing conversations, and builds the search index.
3. Launch the App
Open http://localhost:8000 in your browser. The API server auto-imports new sessions via a file watcher and pushes updates to the UI in real time.
4. (Optional) Configure AI Analysis
To enable AI-powered analysis features, add an API key to your config file:
# Edit the config file nano ~/.config/claude-code-analytics/.env # Add one of these: OPENROUTER_API_KEY=sk-or-your-key-here # For 300+ models GOOGLE_API_KEY=your-key-here # For Gemini models
Get API keys from OpenRouter or Google AI Studio.
That's it! New conversations will be automatically captured when you exit Claude Code sessions.
⚠️ Important: Transcript RetentionClaude Code automatically removes transcripts for sessions that have been inactive for more than 30 days by default. This helps manage disk space but means older conversations may be deleted before you archive them.
To change this retention period, edit
~/.claude/settings.jsonand add:{ "cleanupPeriodDays": 90 }Set this to a higher value (e.g., 90, 180, or 365 days) to keep transcripts longer, or set it to
0to disable automatic cleanup entirely.
Key Features
⚛️ React Dashboard
- Dashboard — KPI cards, daily activity charts, activity heatmap, projects table
- Active Sessions — Live view of currently running Claude Code sessions
- Sessions — Split-view with searchable session list and detail pane
- Bookmarks — Save and annotate specific messages across sessions
- Conversation Viewer — Virtual scrolling, collapsible tool cards, minimap, in-conversation search, role filtering
- Search — FTS5 with scope tabs, project/tool filters, search history, keyboard navigation
- Session Similarity — Hybrid search (FTS + ChromaDB + LLM query expansion) with RRF, sort, and pagination
- Analytics — Tool usage distribution, MCP server stats, daily trends, most expensive sessions
- Analysis — LLM-powered session analysis with scoping, searchable picker, Gist publishing
- Command Palette — Cmd+K for quick navigation across pages, projects, sessions, and search
- Real-time updates — File watcher auto-imports new sessions, SSE pushes updates to the UI
🔍 Search & Discovery
- Full-text search across all messages and tool content with deep linking to specific messages
- Session similarity search with hybrid FTS + semantic embeddings + LLM query expansion
- Advanced filtering by project, date range, role, and tool name
- MCP tool tracking with dedicated analytics for MCP server usage
Additional Features
- Automatic archiving — Hook-based capture with dual-format storage (JSONL + readable text)
- AI-powered analysis — 300+ models via OpenRouter or Google Gemini, with pre-built and custom analysis types, GitHub Gist publishing with security scanning
- Comprehensive analytics — Token tracking, tool usage stats, daily trends, project insights, active time metrics
Configuration
All settings are stored in ~/.config/claude-code-analytics/.env with sensible defaults. No configuration is required for basic features (browse, search, analytics). Add an API key to enable AI analysis.
See docs/configuration.md for the full configuration reference.
Development
For frontend development with hot-reload, run the API server and React dev server in separate terminals. See CONTRIBUTING.md for development setup, code quality tools, and contribution guidelines.
Documentation
- Configuration Reference — All settings and environment variables
- Architecture & How It Works — System design, hook system, database schema, project structure
- Advanced Usage — CLI tools, Python scripts, manual export, custom prompts
- Manual Installation — Step-by-step manual setup
- Troubleshooting — Common issues and fixes
- Contributing — Development setup, code quality, logging standards
- Deep Linking — Technical details on search-to-conversation navigation
- Search Feature — Full-text search implementation
- MCP Server Analytics — Analytics for MCP servers
- Agent Knowledge Retention — Knowledge retention strategies
- Custom Prompts — How to create custom analysis prompts
Future Roadmap
- Copyable excerpts - Select message ranges and copy as formatted markdown for sharing
- Session tags - Auto-tag sessions by workflow type for browsable discovery
- Cost tracking - Monitor LLM API costs per analysis
- Export formats - HTML, PDF conversation exports
Contributing
Contributions are welcome! See CONTRIBUTING.md for development setup and guidelines.
License
MIT License - Use and modify freely.