RAG・知識ベース
second-brain-os
A self-maintaining AI second brain for Obsidian and Claude Code.
★ 888 スターMIT
ガイドを見る →omnigramは、lxpioが公開しているオープンソースのRAG・知識ベースプロジェクトです（GitHub: lxpio/omnigram）。GitHubスターは75、フォークは9で、Customライセンスの下で公開されています。GitHubでの最終更新は2026年9月15日です。
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.
Edit RDF knowledge graphs in your browser — no backend needed.
An open-source knowledge base for people and AI agents.
PDF reader with AI chat, flashcards, annotations, and text-to-speech.
VideoRAG — chat with your videos, even hundreds of hours of them, with graph-driven retrieval.
Libratory, in TypeScript — built for your free book and audiobook laboratory. turn the...
LibreAIカタログに掲載されたRAG・知識ベースプロジェクトの中で最もスターの多いもの — omnigramが合わなかった場合に検討したい、現実的な候補リストです。
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Lightweight OCR toolkit turning PDFs and images into structured, LLM-ready data in 100+ languages
MinerU — turns PDFs and Office documents into LLM-ready Markdown and JSON for agents and RAG pipelines, Apache-2.0 plus terms
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
カタログの中でomnigramとスター数が近いRAG・知識ベースプロジェクト — 前後の棚もそのまま見て回れます。
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.
Libratory, in TypeScript — built for your free book and audiobook laboratory. turn the...
Self-hosted rag & knowledge: open-source native macos ai reading workspace for pdf.