AI Agent Skills

ReMe: Memory Management Kit for Agents - Remember Me, Refine Me.

High accuracy RAG for answering questions from scientific documents with citations

🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/

每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈

A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval

本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/

Enhanced LanceDB memory plugin for OpenClaw — Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI

GenAI Cookbook

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

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

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

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

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

Research project. A Memory solution for users, teams, and applications.

OpenKB: Open LLM Knowledge Base

EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation