Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

This repo covers LLM, Agents, MCP Tools, Skills concepts with sample codes: LangChain & LangGraph, AWS Strands Agents, Google Agent Development Kit, Fundamentals.

Master the art of building and enhancing AI agents. Learn to develop flow-based applications, implement agentic search, and incorporate human-in-the-loop systems using LangGraph's powerful components.

🤖 Cortex AI: #1 AI Trading Bot for Crypto, Forex & Stocks. Automated Arbitrage Engine v3.4. Works on Solana, TON, Binance & Bybit. Best Free Crypto Trading Bot 2026.

A toolkit for developing AI agents, including agent-debugger: Terminal debugger for LangGraph & LangChain agents. Debug LLM agents with state inspection, tool calls, semantic breakpoints, and Python program stepping in one Textual UI.

PocketFlow from 0 to 1 ｜ 100 行代码构建所有 LLM 应用 ｜ 首个 PocketFlow 交互式教程 ｜ 光速掌握智能体开发实战

七天从零实现一个Claude Code。 Complete a Claude code from scratch in seven days.

Learn to build, test, and deploy production-ready AI agents with this complete "From Zero to Hero" training course for the Google Agent Development Kit (ADK).

git add, commit, and push in one command from any dir, for any repo

AgentPrecept — Agent 的方法论文档治理工具。project-graph 让 Agent 快速定位模块关系，L4_O01 记录每次决策，HANDOFF 确保换班不丢进度。三层门禁：Agent 自助检查 → 本地 hook → CI 兜底。设计门禁验证文档存在（不校验质量）。涟漪分析覆盖显式依赖，不支持动态反射和微服务调用。不是安全扫描器，不是万能银弹——只是一份诚实的施工图。

a startup but not simple agent demo using google adk.

This project demonstrates how to use the Microsoft Agent Framework to build AI-powered workflows for data analysis and reporting.

Curated Skills, MCP servers, and tools for AI agents.

Build autonomous agents with Open Responses API - A Claude Code skill for multi-provider agent development via HuggingFace Inference Providers

A demonstration of rapid conversational agent deployment on Google Cloud Platform using ADK and AgentConfig.

软件工程、机器学习与系统设计的长期学习与面试笔记仓库。以「直觉 → 理论 → 推导 → 实现 → 陷阱 →面试题」的统一结构组织，覆盖软件工程系统分析与设计、机器学习（数学基础 /监督学习）、深度学习、计算机视觉、分布式系统、数据库（KV / 关系 / 向量 / 图）、并行计算、LLM、Agent开发、基础设施与 408 等方向，构建一套持久化、严谨、相互关联的知识体系。

Enable collaborative coding in Claude Code with automated expert roles for test-driven, quality-checked mob and pair programming workflows.

Browser-based AI Agent learning workbench — build, run, trace, compare, and learn with an Agentic AI coach.

0 - 1 学习 OpenClaw：从零开始构建 Claw AI 智能体的章节 （typescript版本）

this repository is a well-organised, contribution-ready knowledge base that couples concise tutorials with authoritative reference material—ideal for accelerating Gemini FullStack projects from first “hello world” to production-grade deployments.