AI Agent Skills

A project-based course repository for developing AI agents using LangChain v1+ and LangGraph: search agents, RAG systems, reflection agents, and code interpreters.

《大模型白盒子构建指南》：一个全手搓的Tiny-Universe

[ICLR 2026] Youtu-GraphRAG: Vertically Unified Agents for Graph Retrieval-Augmented Complex Reasoning

A simple, easy-to-hack GraphRAG implementation

Rust library for generating vector embeddings, reranking locally!

动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/

PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation

Empowering RAG with a memory-based data interface for all-purpose applications!

[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"

Large Action Model framework to develop AI Web Agents

OpenSource Production ready Customer service with built in Evals and monitoring

An AI knowledge base/agent built with .Net 9, AntBlazor, Semantic Kernel, and Kernel Memory, supporting local offline AI large models. It can run offline without an inte…

TrustRAG：The RAG Framework within Reliable input,Trusted output

The easiest way to use Agentic RAG in any enterprise

antflydb/antfly is a high-star GitHub project relevant to AI agent workflows.

The open-source alternative to Carbon.ai. Build powerful RAG applications with any data source, at any scale.