Локальные LLM
Ollama
The simplest way to run open language models on your own machine.
★ 182,1 тыс. звёздMIT
Смотреть руководство →ReadAny — проект с открытым исходным кодом из категории «Локальные LLM» от codedogQBY (codedogQBY/ReadAny на GitHub). У него 2 704 звезды на GitHub и 217 форков, он распространяется по лицензии Custom и последний раз обновлялся на GitHub 26 сентября 2026.
AI e-book reader with semantic search, RAG chat, notes, and text-to-speech.
Get the app for your platform.
Import EPUBs and other e-book formats.
Ask questions or search semantically.
Keep library and notes synced via WebDAV.
Ask questions answered from your books.
Find passages by meaning, not keywords.
Embeddings stay on your device.
Annotate as you read.
Listen to your books read aloud.
Sync library across devices.
Download the source and move into the project folder.
git clone https://github.com/codedogQBY/ReadAny.git
cd ReadAnyEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandEPUB reading is the focus; check the docs for other formats.
Custom license — read the repo's license file first.
It supports Anthropic and other providers; check for local model options.
Your books are embedded locally and answers are grounded in their text.
Yes, WebDAV sync keeps library and notes consistent.
The simplest way to run open language models on your own machine.
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Другие проекты из категории «Локальные LLM» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если ReadAny вам не подходит.
The simplest way to run open language models on your own machine.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
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Соседние проекты из категории «Локальные LLM» в каталоге, ближайшие по числу звёзд к ReadAny — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.