RAG и базы знаний
second-brain-os
A self-maintaining AI second brain for Obsidian and Claude Code.
★ 888 звёздMIT
Смотреть руководство →omnigram — проект с открытым исходным кодом из категории «RAG и базы знаний» от lxpio (lxpio/omnigram на GitHub). У него 75 звёзд на GitHub и 9 форков, он распространяется по лицензии Custom и последний раз обновлялся на GitHub 15 сентября 2026.
A Flutter e-reader and audiobook app with AI chat.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Converts text into spoken audio.
One codebase running on mobile and desktop.
Comfortable writing and organizing experience.
Works offline with on-device storage.
Bring notes from Obsidian, Notion, and more.
Own your second brain completely.
Download the source and move into the project folder.
git clone https://github.com/lxpio/omnigram.git
cd omnigramFetch the Flutter/Dart dependencies.
flutter pub getLaunch the app on your device or emulator.
flutter runIt is an open-source project at lxpio/omnigram with 9 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
The project uses a custom license — read the LICENSE file in the repo before commercial use.
Locally or on your own server, depending on how you deploy it.
Most support OpenAI, Anthropic, Ollama, and other providers via config.
Yes — MCP support lets agents search your knowledge base directly.
A self-maintaining AI second brain for Obsidian and Claude Code.
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Соседние проекты из категории «RAG и базы знаний» в каталоге, ближайшие по числу звёзд к omnigram — продолжайте изучать полку по обе стороны от него.
Agent-fed knowledge base that distills learnings into cited wiki pages.
A self-hostable markdown team wiki with a built-in MCP server.
A trilingual e-commerce knowledge base agents can install.
Skills that let coding agents search and read your local documents.
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Self-hosted rag & knowledge: open-source native macos ai reading workspace for pdf.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.