kikootwo cc8e106a2b Add per-user home sections & unified Audible cache
Introduce per-user configurable home page sections and a unified Audible cache/category model. Adds Prisma models (UserHomeSection, AudibleCacheCategory) and migrations to create tables and remove legacy popular/new_release flags; updates schema.prisma accordingly. Add API routes for user home sections, live Audible categories, and category-based audiobook listing, and refactor popular/new-releases/covers routes to read from AudibleCacheCategory. Frontend: new HomeSection component, HomeSectionConfigModal, useHomeSections hook, and homepage changes to render dynamic sections plus image fallback to a placeholder SVG. Also add placeholder_cover.svg and tests for home sections and the audible refresh processor.
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RMAB_hero.png

Audiobook automation for Plex and Audiobookshelf

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Radarr/Sonarr + Overseerr for audiobooks, all in one

FeaturesSetupScreenshotsDiscord


What is this?

You run Plex or Audiobookshelf with audiobooks. You want more audiobooks. You search indexers, download torrents or NZBs, organize files, wait for your server to scan. ReadMeABook does all of that automatically.

Request a book → Prowlarr searches → qBittorrent or SABnzbd downloads → Files organized → Library imports. Done.

Also includes BookDate: AI recommendations with a Tinder-style swipe interface. Swipe right to request.

User friendly audible-backed searches, multi-file chapter merging, e-book sidecar support, OIDC OAuth, admin approval workflows, and more.

Features

  • Plex or Audiobookshelf
  • Torrents via qBittorrent
  • Usenet via SABnzbd
  • Prowlarr for indexer search (torrents + NZBs)
  • BookDate: AI recommendations (OpenAI/Claude/Local) with swipe interface
  • Chapter merging: Multi-file downloads → single M4B with chapters
  • E-book sidecar: Optional EPUB/PDF downloads from Shadow Library
  • Request approval: Admin approval workflow for multi-user setups
  • Setup wizard: Step-by-step guided config with connection testing

Setup

Prerequisites: Docker, Plex or Audiobookshelf, qBittorrent or SABnzbd, Prowlarr

Quick Start

# Download docker-compose.yml
curl -fsSL https://raw.githubusercontent.com/kikootwo/readmeabook/main/docker-compose.yml -o docker-compose.yml

# Start the container
docker compose up -d

Open http://localhost:3030 and follow the setup wizard.

Manual Setup

If you prefer to customize the compose file:

services:
  readmeabook:
    image: ghcr.io/kikootwo/readmeabook:latest
    container_name: readmeabook
    restart: unless-stopped
    ports:
      - "3030:3030"
    volumes:
      - ./config:/app/config
      - ./cache:/app/cache
      - ./downloads:/downloads        # Your download client's path
      - ./media:/media                # Your audiobook library
      - ./pgdata:/var/lib/postgresql/data
      - ./redis:/var/lib/redis
    environment:
      PUID: 1000                      # Optional: your user ID
      PGID: 1000                      # Optional: your group ID
      PUBLIC_URL: "https://audiobooks.example.com"  # Required for OAuth

Then run docker compose up -d to start.

Important: Your download client (qBittorrent/SABnzbd) and RMAB must see files at the same path. See the Volume Mapping Guide if downloads aren't being detected.

Screenshots

image image image

Community

Join the Discord: https://discord.gg/kaw6jKbKts

Feature and fix Contributions are highly welcome. Documentation in documentation/ if you want to contribute. Discord is a great place to ask questions!

Support

If you find this project useful, consider supporting development via GitHub Sponsors or Ko-fi.

If you'd like to support but cannot sponsor, a simple star on the GitHub repo is also greatly appreciated!

Built with AI Assistance

This is a human-engineered application. Architecture, design decisions, code review, and project direction are managed by a principal engineer with nearly 15 years of professional software development experience.

AI tools (Claude, GitHub Copilot) serve as force multipliers. Accelerating implementation, maintaining consistency, and handling boilerplate, while human expertise drives the technical vision. This mirrors how AI assistance is used at leading technology companies today.

The workflow:

  • Token-optimized documentation system designed for AI consumption (CLAUDE.md)
  • Structured navigation enabling AI to find relevant context without reading entire codebases
  • Consistent architectural patterns that AI tools can follow and extend
  • Human review of all AI-generated code before merge

The result: enterprise-grade velocity on a solo project without sacrificing code quality or architectural integrity.


AGPL v3 License

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