报告日期：2026-02-28 关键词： Agent Skills, MCP, OpenClaw, A2A, Agentic AI, 模块化架构一、谁提出了从 Agent 到 Skills 的转变？1.1 起源：Anthropic ...

Karpathy proposes something simpler and more loosely, messily elegant than the typical enterprise solution of a vector ...

前几天 AI 概念大神 Andrej Karpathy ...

Andrej Karpathy is pioneering autonomous loop” AI systems—especially coding agents and self-improving research agents—while ...

Imagine a world where machines don’t just follow instructions but actively make decisions, adapt to new information, and collaborate to solve complex problems. This isn’t science fiction, it’s the ...

随着 Anthropic 开源 skills 仓库，"Code Interpreter"（代码解释器）模式成为 Agent 开发的热门方向。许多开发者试图采取激进路线：赋予 LLM 联网和 Python 执行权限，让其现场编写代码来解决一切问题。但在构建企业级“智能文档分析 Agent”的实践中，我们发现这种“全 ...

【本文由小黑盒作者@SaltFish于03月02日发布，转载请标明出处！】 全文约3500字，阅读需要约10分钟 一个让人困惑的问题 你有没有想过：为什么ChatGPT能和你聊得天南海北，却不能帮你订一张机票？ 你问它"帮我订一张去上海的机票"，它只能回答：“你可以去携程或飞猪预订，记得比较价格……” 它知道怎么订机票，但做不到。 问题出在哪？

While AI delivers greater speed and scale, it can also produce biased or inaccurate recommendations if the underlying data, ...

Overview AI agents enable autonomous workflows, making them essential skills for future-ready tech professionalsChoosing hands-on Udemy courses helps build real ...

The pre-built agents and Private Agent Factory itself would help developers accelerate agent building, especially those ...

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.