v0.1.0 - Initial Release

v0.1.0 - Initial Release

Fast Browser Search v0.1.0 marks the stable debut of this lightning-fast tool for unified browser history search across Chrome, Safari, Arc, Comet, Genspark, and Thorium. It combines graph-based relationships via FalkorDB, Redis caching for sub-second queries, and conversational memory for smarter interactions. github

🚀 New Features

• Multi-Browser Aggregation: Extracts and indexes history from macOS standard files with file watchers for real-time updates. [github](https://github.com/TrendpilotAI/fast-browser-search)
• Graph-Powered Insights: FalkorDB stores URL relationships; query browsing patterns, sessions, and connections efficiently. [github](https://github.com/TrendpilotAI/fast-browser-search)
• High-Speed Search: Redis caching delivers instant results; WebSocket for live frontend updates in React/Tailwind UI. [github](https://github.com/TrendpilotAI/fast-browser-search)
• Conversational Memory: Zep/Graphiti integration for context-aware queries and persistent session recall. [github](https://github.com/TrendpilotAI/fast-browser-search)

🛠 Quick Start

# Clone & setup databases
git clone https://github.com/TrendpilotAI/fast-browser-search
cd fast-browser-search
docker-compose up -d  # Starts FalkorDB (6379), Redis (6380)

# Backend
cargo build --release
cargo run --release

# Frontend
npm install
npm run dev  # http://localhost:5173

Full docs in README; API at /api/search?q=your-query. [github](https://github.com/TrendpilotAI/fast-browser-search)

📦 What's Included

• Rust backend with Tauri compatibility for future desktop apps.
• Docker for deps; optional memory services.
• 8 open PRs ready for community contributions. [github](https://github.com/TrendpilotAI/fast-browser-search/releases/new)

Ready for production use—feedback welcome via issues! 🚀 [github](https://github.com/TrendpilotAI/fast-browser-search/releases/new)