Hey Hunters! 👋 I've been working on BookWith, an open-source e-book reader that integrates AI as your reading companion. The problem: Traditional e-readers are passive. When you encounter something unclear, you have to context-switch to search for it. Your highlights and notes remain isolated, and you can't easily connect ideas across different books. My solution: BookWith embeds an AI that maintains full context of what you're reading. It features: - Context-aware AI chat: Ask questions about the current page/chapter and get instant answers - AI podcast generation: Automatically converts book content into conversational podcasts using Google Cloud TTS - Multi-layer memory system: Short-term (last 5 conversations), mid-term (summarized every 20), and long-term (vector search) memory that maintains continuity across reading sessions - Smart annotations: 5-color highlighting system that AI can reference and analyze Technical stack: Built as a fork of Flow (epub reader), with added LLM integration and vector database for semantic search. Supports multiple LLMs and languages (EN/JA/ZH). I built this because I wanted my technical reading to be more interactive and interconnected. Would love feedback, especially on the memory architecture and UX for the AI interactions.

BookWith

A new reading experience with LLM

A new reading experience with LLM