AI Agent Skills

Data framework for building RAG and knowledge workflows around agent tasks.

A modular graph-based Retrieval-Augmented Generation (RAG) system

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

Low-code framework for building custom LLMs, neural networks, and other AI models

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for L…

[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…

Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台/ Agent、知识库编排、插件系统 / Bots for Discord / Slack / LINE / Telegram / WeChat(企业微信, 企微智能机器人, 公众号) / 飞书…

Taste-Skill - gives your AI good taste. stops the AI from generating boring, generic slop

Essential skills for autonomous agents