Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
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Updated
Sep 28, 2026 - Python
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.
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).
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.
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。
This project demonstrates how to use the Microsoft Agent Framework to build AI-powered workflows for data analysis and reporting.
a startup but not simple agent demo using google adk.
Build autonomous agents with Open Responses API - A Claude Code skill for multi-provider agent development via HuggingFace Inference Providers
A Multi-Agent System for Cross-Checking Phishing URLs.
Codex Harness 中文学习资料与 Codex/Claude Code 垂直 Agent 开发 Skill
An AI agent that diagnoses vulnerabilities in network ports.
Hands-on experiments exploring Google Agent Development Kit (ADK), runtime architecture, MCP, multi-agent systems, and production-ready AI agent development.
AIエージェント構築ガイドサイト (WIP、初期段階)。Next.js。 / AI agent building guide site (WIP, early stage). Next.js.
A reusable, project-agnostic pipeline of Claude Skills for taking an AI agent product from idea to shippable MVP. Built for a solo founder who reuses the same workflow across multiple projects, runnable from Claude Code and Claude Cowork equally.
Become an expert in constructing and refining AI agents. Explore how to create flow-driven applications, employ agentic search methods, and integrate human-in-the-loop systems using the robust components of LangGraph.
AI Agent 构建实验室:系统学习 LangGraph,从 Graph、State、Workflow 到 Agent 的实践记录。
Automate Claude AI interactions with custom hotkeys, memory manipulation tools, and configurable settings for improved workflow performance.
Hands-on AI Agent development course covering LiteLLM, structured outputs, session state runners, persistent memory, and multi-agent workflows.
build simple agent workshop with Google ADK
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