ai-agents-from-zero
🚀 2026 最系统的 AI Agent 速成指南|智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化
AI 智能体是一种用大模型决定下一步做什么的程序:它会调用浏览器、代码解释器或 API 等工具,反复执行,直到任务完成。这里的项目既有用来搭建自己智能体的框架,也有能写代码、浏览网页或运行业务流程的现成智能体。
比较时看三点:能用哪些模型——只支持一家服务商,还是任何兼容 OpenAI 接口的端点(包括本地模型);怎么限制智能体能做的事——沙箱、审批步骤、权限清单;以及它能否在步骤之间、会话之间保留记忆。会执行代码或命令行的智能体应该在沙箱里运行,给它访问你电脑的权限之前先确认这一点。
🚀 2026 最系统的 AI Agent 速成指南|智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化
Give agents an operating system as a library. Runs in your existing backend – no sandboxes, VMs, or SaaS. Powered by WebAssembly & V8 isolates.
DeepAnalyze is the first agentic LLM for autonomous data science. 🎈你的AI数据分析师,自动分析大量数据,一键生成专业分析报告!
Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems
learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen
OpenKB: Open LLM Knowledge Base
35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.
A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
Examples and tutorials to help developers build AI systems
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web. Make your own persistent autonomous agent on top!
拼多多、千牛、抖店 AI 客服机器人:自动回复客户咨询、商品答疑、售后申诉处理,支持微信、小红书、京东、抖音、B站、微博等多平台统一接待;可接入 DeepSeek / 通义千问 等大模型,支持自有知识库定制。
🚀 An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems.
One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.
AI-powered virtual executive team — a single coherent executive persona backed by 8 specialist agents (FastAPI + Next.js).
eBPF Observability - Distributed Tracing and Profiling
Optimizing inference proxy for LLMs
《御舆:解码 Agent Harness》42万字拆解 AI Agent 的Harness骨架与神经 —— Claude Code 架构深度剖析,15 章从对话循环到构建你自己的 Agent Harness。在线阅读网站:
AdalFlow: The library to build & auto-optimize LLM applications.
A Model Context Protocol server for Excel file manipulation
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
ADHD — a skill for coding agents. Tree-of-thought with pruning, built on the Claude & Codex Agent SDK. Fans out parallel divergent thoughts under different cognitive frames, scores, prunes traps, deepens the survivors. The no-brainer skill for creative and interdisciplinary work.
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Everything you need to know to build your own RAG application