sageread  by xincmm

AI reader for efficient deep reading and knowledge extraction

Created 3 weeks ago

New!

444 stars

Top 67.5% on SourcePulse

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Project Summary

SageRead is an AI-powered ebook reader designed for efficient deep reading. It targets users who want to interact with their reading material through AI, take notes, and manage their reading workflow locally. The primary benefit is enhanced comprehension and productivity by integrating AI assistance directly into the reading experience.

How It Works

SageRead employs a three-column interface for simultaneous reading, note-taking, and AI conversation. It supports EPUB format and offers customizable AI prompts, allowing users to ask questions, request summaries, or translations based on the book's content. The system prioritizes privacy by storing all data locally and supporting self-hosted AI models and vectorization models, with local vector model support currently limited to macOS.

Quick Start & Requirements

  • Installation: Not explicitly detailed, but implies standard application installation.
  • Prerequisites:
    • macOS or Windows.
    • Configured AI service (OpenAI, Anthropic, OpenRouter, DeepSeek, etc.) with API keys and base URLs.
    • Configured vectorization model (online API or local model on macOS).
  • Setup: Requires configuring AI and vector models in the application settings and then vectorizing imported books.
  • Links: No direct links to quick-start guides or demos are provided in the README.

Highlighted Details

  • AI conversation assistant integrated directly into the reading interface.
  • Comprehensive note-taking system with highlighting, bookmarks, and excerpts.
  • Supports EPUB format with customizable reading modes (scrolling/pagination).
  • Includes TTS (Text-to-Speech) functionality with multi-language support.
  • Privacy-focused with local data storage and self-hosted AI/vector model options.

Maintenance & Community

The README does not provide specific details on maintainers, community channels (like Discord/Slack), or a roadmap. It indicates "PRs welcome."

Licensing & Compatibility

  • License: AGPL-3.0.
  • Compatibility: AGPL-3.0 is a strong copyleft license. Use in conjunction with closed-source applications may require careful consideration of licensing obligations.

Limitations & Caveats

Local vector model support is currently restricted to macOS. The setup requires users to configure external AI and vector models, which may present a barrier for less technical users. Detailed installation instructions and community support links are not readily available in the provided README.

Health Check
Last Commit

3 weeks ago

Responsiveness

Inactive

Pull Requests (30d)
5
Issues (30d)
24
Star History
448 stars in the last 27 days

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