# codedogQBY/ReadAny

AI-powered cross-platform e-book reader with semantic search, RAG chat, local vector store, notes, TTS, and WebDAV sync.

Repository: https://github.com/codedogQBY/ReadAny
Canonical: https://ross.abutalabs.com/products/readany
Homepage: https://codedogqby.github.io/ReadAny/
Language: TypeScript
License: NOASSERTION
License Family: other
Topics: ai, anthropic, ebook-reader, embeddings, epub-reader, expo, knowledge-management, llm, local-first, ollama, openai, rag, react, react-native, semantic-search, sqlite, tauri, tts, typescript, vector-search
Last push: 2026-08-25T14:45:59+00:00

## Health v2 (maintenance only)
Score: 81/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 99, release rhythm 98, longevity 13
- inputs: {"age_days": 189, "days_push": 8, "days_rel": 17, "gap_med": 3, "n_releases_24m": 24}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2267, forks 177 (observed 2026-08-28T04:06:32.666867+00:00)

## What it is
ReadAny is a local-first, AI-powered cross-platform e-book reader for desktop and mobile. It combines RAG-based chat with your books, hybrid semantic search, highlights and notes, TTS, reading statistics, and WebDAV/S3/LAN sync while keeping embeddings and a vector store local.

## Use cases
- chat with my books using ai
- semantic search inside ebooks
- read epub with text-to-speech
- export highlights and notes to obsidian
- build a private reading knowledge base offline
- sync reading progress across devices
- summarize pdfs and papers with ai

## When to choose
- you want AI Q&A and semantic search over your personal book library
- privacy matters and you prefer local embeddings and a local vector store
- you need a cross-platform reader with notes, TTS, and sync in one app
- you want to use your own LLM provider including Ollama for fully offline use

## When to avoid
- you only need a lightweight DRM-free reader without AI features
- you require Calibre-style library management or format conversion
- you need strict license guarantees - the license is listed as NOASSERTION despite GPL-3.0 claims
- you depend on cloud-only AI services with managed embeddings

## Facets
- artifact type: application
- maturity: active
- function: rag, search-engine, tts, speech-recognition, nlp, llm-inference, chatbot, pdf, markdown, data-visualization, file-upload
- domain: large-language-models, developer-tools, education, files, pdf, cross-platform
- platform: windows, cross-platform, python
- tags: ebook-reader, epub, semantic-search, local-first, vector-store, webdav-sync, highlights, notes, knowledge-management, ollama, openai, claude, gemini, reading-stats, expo, tauri, natural-language-processing, retrieval-augmented-generation, macos, linux, ios, android, desktop, mobile, typescript

## Member repositories
- codedogQBY/ReadAny (main) score 81

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:32.666867+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:42:11.041711+00:00, confidence not recorded.
  - readme: https://github.com/codedogQBY/ReadAny (fetched 2026-08-28T04:06:32.666867+00:00, sha e86f3be86a3c)
  - homepage: https://codedogqby.github.io/ReadAny/ (fetched 2026-08-29T10:22:48.757878+00:00, sha fbd93d0968e8)
- Data as of 2026-08-30T08:39:29.467469+00:00.