AI Agent Skills

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other…

Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation.

🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLM…

🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

Multi-agent systems, memory, planning, reasoning loops

The AI-native state store for agents. MySQL-compatible, embedded or server, hybrid vector + full-text search, COW sandboxes (FORK/MERGE).

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

Open-source GEO content engineering and multi-site distribution system with AI tasks, RAG/semantic chunking, analytics, GEOFlow Agent and WordPress target publishing.

基于 Spring Boot 4.0 + Java 21 + Spring AI + PostgreSQL + pgvector + RustFS + Redis，实现简历智能分析、AI模拟面试、知识库RAG检索等核心功能。非常适合作为学习和简历项目，学习门槛低。

Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.