本文介绍一个完整的"AI智能体工厂"平台的设计与实现。该平台以本体模型（Ontology Model）作为中间表示层，打通了从原始业务需求到可运行AI智能体的完整链路：需求探索 → 本体建模 → 可视化验证 → 能力代码生成 → 技能封装 → Agent动态发布。 今天完整分享下最近通过AI编程实现的一个基于本体模型+AI大模型驱动的端到端AI智能体交付平台。包括需求分析，整体设计，核心功能实现。

CData CLI, is a command-line tool that enables developers to build and test integrations using CData’s connectors. The company says the tool is optimized for AI-assisted development environments while ...

Overview:  Large language models may dominate headlines, but modern NLP tools remain essential for text processing, ...

ZS posted its ninth straight EPS beat with 25% revenue growth, yet trades 42% lower year to date while PANW surged 48% on the same AI security demand thesis. Chaudhry warns AI agents will replace ...

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VentureBeat surveyed 132 enterprise AI leaders: the production failure point isn't the model — it's the runtime layer most teams are patching with retries instead of fixing.

The integration of custom AI agents into Microsoft Teams allows organizations to transform vast SharePoint document libraries into interactive, searchable knowledge bases. In this guide, we will see ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

With the adoption of artificial-intelligence agents becoming more widespread among businesses, some of the most avid corporate users are racing to avoid the issues that come with having too many ...

Every Wednesday and Friday, TechNode’s Briefing newsletter delivers a roundup of the most important news in China tech, straight to your inbox. Sign up On Wednesday, the Create 2026 Baidu AI Developer ...

Abstract: Modern Python applications heavily rely on third-party libraries (TPLs), which can introduce security risks when vulnerabilities in these libraries silently propagate into client code.

Both work with sync or async LangChain agents and the sync (CyclesClient) or async (AsyncCyclesClient) Cycles client.