RAG
"We can wander through the stacks of the Library of Alexandria, imagining the scrolls and the knowledge they contain. Its destruction is a warning: all we have is transient.”--Alberto Manguel
LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。
The local-first LLM Wiki: open-source knowledge graph builder, RAG knowledge base, and agent memory store. Built on Andrej Karpathy's pattern. An Obsidian alternative for personal knowledge management, AI second brain, and durable Claude Code / Codex / OpenClaw memory.
Framework for AI agents to build and maintain an Obsidian wiki using Karpathy's LLM Wiki pattern
Garry's Opinionated OpenClaw/Hermes Agent Brain
Agentic RAG Harness for long documents, Tree and Graph based reasoning. Cited answers down to the pixel
Self-hosted AI-powered personal knowledge base. Save content from 17+ platforms, auto-tag, summarize, and connect with semantic search.
A vector index built on TurboQuant, written in Rust with Python bindings
Local-first permanent, persistent memory for all agents and humans
AI-powered analysis engine for Argentine government open data. Multi-agent pipeline (LangGraph) with 10 data connectors, NL2SQL, semantic caching, and real-time streaming. Built with FastAPI, PostgreSQL + pgvector, Celery, and Gemini/Claude LLMs.
AI-powered quiz and exam platform built with Laravel 12 + Laravel AI SDK. Supports AI question generation, intelligent auto-grading, RAG-powered personalization (pgvector), real-time Livewire dashboards, teacher/student roles via Fortify, and streaming results.
Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — with Docling document parsing, visual intelligence (image/table captioning), agentic streaming chat, and inline citations. Powered by Gemini or local Ollama models.
A native iOS AI Agent app — multiple customizable AI assistants, right on your phone
Summon it with a keystroke, throw in anything you want to remember or ask your own memory. A local LLM agent that restructures your knowledge into a vectorized DB. fully private, zero cloud.
BEAM-native personal AI agent built on Elixir/OTP. Runs on your hardware. Your data stays yours.
Buddhist Digital Text Platform — 9,200+ texts, 500+ sources, 8 UI languages, AI Q&A (RAG), knowledge graph, full-text search
An AI research Agent for scientific innovation.