RAG и базы знаний
ontosphere
Edit RDF knowledge graphs in your browser — no backend needed.
★ 247 звёздNOASSERTION
Смотреть руководство →second-brain-os — проект с открытым исходным кодом из категории «RAG и базы знаний» от undefined-ui (undefined-ui/second-brain-os на GitHub). У него 888 звёзд на GitHub и 138 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 29 сентября 2026.
A self-maintaining AI second brain for Obsidian and Claude Code.
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.
Exposes its capabilities to AI agents over the Model Context Protocol.
Works inside your Obsidian vault and notes.
Structures information as a queryable graph.
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/undefined-ui/second-brain-os.git
cd second-brain-osStart a tiny local web server in the project folder.
python3 -m http.server 8000Visit the local server in your browser.
# open http://localhost:8000It is an open-source project at undefined-ui/second-brain-os with 138 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes. It is MIT licensed, so you can use it commercially with attribution.
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.
Edit RDF knowledge graphs in your browser — no backend needed.
An open-source knowledge base for people and AI agents.
A Flutter e-reader and audiobook app with AI chat.
Self-hosted rag & knowledge: 🧠 the brain for your ai — local-first memory engine for.
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
A low-code MCP framework for building complex, innovative RAG pipelines — visibly, not as a black box.
Другие проекты из категории «RAG и базы знаний» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если second-brain-os вам не подходит.
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or…
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context…
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
Соседние проекты из категории «RAG и базы знаний» в каталоге, ближайшие по числу звёзд к second-brain-os — продолжайте изучать полку по обе стороны от него.
Transparent Python RAG reference with FAISS + BM25 hybrid retrieval.
Self-hosted NotebookLM alternative — chat with documents, get audio summaries.
A free, open mathematical knowledge base built for clarity.
Open-source AI workspace for projects, wikis, and team docs.
Starter template for AI agents that stay synced with your knowledge base.
Knowledge-base — 本地优先的知识库桌面应用。markdown 编辑器 + 全文搜索（fts5） + 双向链接 / 知识图谱；多端, publicly avai...
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.