HyperbookLM is a research assistant designed to aggregate diverse information sources, including web URLs and PDF documents, and transform them into actionable insights using AI. It targets researchers, engineers, and power users who need to efficiently process and analyze large volumes of data, offering benefits such as automated research summarization, content repurposing, and competitor analysis.

How It Works

The project leverages a modern web stack including Next.js 15 and React 19, integrating the Hyperbrowser SDK for multi-source ingestion. Core AI functionalities are powered by OpenAI models (GPT-5-nano for chat, GPT-4o-mini for summaries and mindmaps), Google Gemini (gemini-3-pro-image-preview) for generating presentation slides, and ElevenLabs for creating audio summaries. Visualizations are handled by React Flow, enabling interactive mindmaps, while PDF processing is managed client-side using unpdf.

Quick Start & Requirements

To get started, clone the repository (git clone https://github.com/hyperbrowserai/hyperbooklm.git) and navigate into the directory. Install dependencies using either yarn or npm install. Crucially, you will need to set up environment variables by copying .env.local.example to .env.local and populating it with API keys for Hyperbrowser, OpenAI, and Google Gemini. An ElevenLabs API key is optional for audio features. Run the development server with yarn dev.

Highlighted Details

• Multi-Source Ingestion: Supports scraping web URLs and uploading/analyzing PDF documents.
• AI-Powered Outputs: Generates AI research summaries, interactive mindmaps, audio overviews, presentation slides, and enables interactive chat with sources.
• Modern Tech Stack: Built with Next.js 15, React 19, Tailwind CSS, shadcn/ui, Framer Motion, React Flow, and unpdf.
• Diverse AI Integrations: Utilizes OpenAI, Google Gemini, and ElevenLabs for various AI-driven features.
• Growth Use-Cases: Demonstrates applications in content repurposing, competitor analysis, and research automation.

Maintenance & Community

The project indicates updates can be followed via "@hyperbrowser". No specific community channels (like Discord or Slack) or a public roadmap are detailed in the provided information.

Licensing & Compatibility

The project is released under the MIT license, which is permissive and generally allows for commercial use and integration into closed-source projects.

Limitations & Caveats

This project requires multiple third-party API keys, which may incur costs and are subject to external service availability. The use of very recent or upcoming framework versions (Next.js 15, React 19) suggests the project may be in an early or rapidly evolving state. Performance benchmarks or detailed setup time estimates are not provided.