Agent 架构综述：从 Prompt 到上下文工程构建 AI Agent；涵盖结构化提示词、RAG、语义化工具与 MCP、Agent 规划及多 Agent 协作，配套实操方法与参考资料。

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

📚 《从零开始构建智能体》——从零开始的智能体原理与实践教程

🤗 smolagents: a barebones library for agents that think in code.

🧠 Make your agents learn from experience. Based on the Agentic Context Engineering (ACE) framework.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

Build LangGraph agents with large numbers of tools

拼好RAG：手搓并融合了GraphRAG、LightRAG、Neo4j-llm-graph-builder进行知识图谱构建以及搜索；整合DeepSearch技术实现私域RAG的推理；自制针对GraphRAG的评估框架| Integrate GraphRAG, LightRAG, and Neo4j-llm-graph-builder for knowledge graph construct…

Open sourece medical books in LaTeX. LaTeX写的中文开源医学书籍

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation…

参考GraphRag使用 Semantic Kernel 来实现的dotnet版本，可以使用NuGet开箱即用集成到项目中

提供了一种gpt大模型平替解决方案实现利用非gpt大模型去使用Graphrag，支持多类型大模型如本地大模型(Ollama)、阿里云通义千问、百度文心千帆、智谱ChatGML、讯飞星火认知、Ollama、Moonshot AI、Google Gemini等。示例代码使用阿里的通义千问大模型，其他大模型使用方式相同。

A list of AI autonomous agents

II-Agent: a new open-source framework to build and deploy intelligent agents

Memory for AI Agents in 6 lines of code

Agent AI Application Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced anal…

“AI-Compass”将为社区指引在 AI 技术海洋中航行的方向，无论你是初学者还是进阶开发者，都能在这里找到通往 AI 各大方向的路径。旨在帮助开发者系统性地了解 AI 的核心概念、主流技术、前沿趋势，并通过实践掌握从理论到落地的全过程。

Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.

本仓库包含对 Claude Code v1.0.33 进行逆向工程的完整研究和分析资料。包括对混淆源代码的深度技术分析、系统架构文档，以及重构 Claude Code agent 系统的实现蓝图。主要发现包括实时 Steering 机制、多 Agent 架构、智能上下文管理和工具执行管道。该项目为理解现代 AI agent 系统设计和实现提供技术参考。

🧠 世界上覆盖最全的优秀Qwen提示语大全，欢迎贡献你的提示词。🧠 The most comprehensive collection of excellent Qwen prompts in the world. Feel free to contribute your own prompts!

[CVPR 2025] EchoMimicV2: Towards Striking, Simplified, and Semi-Body Human Animation

MCP-Zero: Active Tool Discovery for Autonomous LLM Agents

Tongyi Deep Research, the Leading Open-source Deep Research Agent

LLM 并发性能测试工具，支持自动化压力测试和性能报告生成。

🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation

The code in "SlideCoder: Layout-aware RAG-enhanced Hierarchical Slide Generation from Design"

Solution for checking file if contain NSFW content.