kikootwo
a0f2ba680d
improve container startup for rootless Podman, plus related refactors and tests. Key changes: - Add/modify Audiobookshelf-related code and wiring (src/lib/services/audiobookshelf/api.ts, library service refs) and update documentation TABLEOFCONTENTS to reference ABS implementation. - Detect user namespace in docker/unified app-start.sh and redis-start.sh and skip gosu when running in rootless Podman to preserve UID mapping; improve startup logging and verification. - Add utility/service files (auth-token-cache.service.ts, credential-migration.service.ts, cleanup-helpers.ts) and corresponding tests; update chapter-merger and metadata-tagger utilities/tests. - Update many admin/auth API routes and tests to reflect changes in settings and integrations. - Remove large AI agent and Audiobookshelf implementation guide docs (AGENTS.md and the implementation guide) and add README note about AI-assisted workflow. These changes enable Audiobookshelf backend mode, improve compatibility with rootless container runtimes, and include cleanup/refactor work and unit tests.
Audiobook automation for Plex and Audiobookshelf
Radarr/Sonarr + Overseerr for audiobooks, all in one
Features • Setup • Screenshots • Discord
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
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
docker compose up -d
Open http://localhost:3030 and follow the setup wizard.
Screenshots
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