AI Agent Skills

An open-source AI content search engine designed specifically for content creators. Supports extraction of text, images, and short videos. Allows full local deployment (…

本项目是一个基于 RAG 的生猪健康管理智慧医药系统，集成了 AI 兽医诊断、疾病管理、药品管理、文章资讯管理等功能模块，旨在通过数字化手段提升生猪养殖的医疗管理水平。系统基于 Spring Boot 3 + Spring AI + Milvus + MySQL 8 + MyBatis-Plus + Ollama / DeepSeek…

Automatic memory consolidation for OpenClaw agents — like sleep for your AI. Powered by MyClaw.ai

A Blazor Web App and Minimal API for performing RAG (Retrieval Augmented Generation) and vector search using the native VECTOR type in Azure SQL Database and Azure OpenA…

The open-source universal adapter for LLMs. Turn messy real-world data into clean, agent-ready context.

MinerU-HTML: An SLM-powered HTML main content extractor that outputs clean HTML bodies. Perfect for Deep Research Agents, RAG applications, and training data generation.

🔥 This repository contains complete application examples, including websites and other projects, developed using Firecrawl.

Chat with multiple PDFs locally

Cross-IDE, multi-stack agent skill for OpenUI (the Open Standard for Generative UI). Adds OpenUI to existing projects across 12 backend stacks, any LLM provider, and 11…

Open-source, self-hosted alternative to NotebookLM. Chat with your documents, generate audio summaries, and ground AI in your own sources—built with Supabase and N8N on…

A privacy-focused AI chat platform built with Vite + Capacitor + Cloudflare. Runs locally or in the cloud, supports Gemini models, live web search, and intelligent key r…

Serve clean Markdown from your Next.js site to AI agents, crawlers, and LLMs. Humans get HTML, agents get clean Markdown of the same pages. Two-file install.

🔍 Deep RAG: Advanced Retrieval-Augmented Generation system that goes beyond vector search. Enables AI to perform multi-hop reasoning, negation queries, numerical compar…

CrawlAI RAG is an AI-powered website intelligence platform that allows users to crawl entire websites, index their content, and ask natural-language questions using Retr…

A simple "Be My Eyes" web app with a llama.cpp/llava backend

Opinionated sample on how to build/deploy a RAG web app on AWS powered by Amazon Bedrock and PGVector (on Amazon RDS)