AgentWeb is an API-first platform that enables AI agents to query structured business data, travel information, and more with sub-50ms latency. It offers 14M+ businesses, real-time flights/hotels/car rentals, and a free tier of 1,000 requests per day without needing a credit card. The platform uses a single API endpoint and provides ready-made integrations for Claude Desktop, Cursor, Windsurf, and Python agents.
原文翻译:
AgentWeb是一个API优先的平台,使AI Agent能够以低于50毫秒的延迟查询结构化商业数据、旅行信息等。它提供超过1400万家企业、实时航班/酒店/租车服务,以及每日1000次请求的免费额度,无需信用卡。该平台使用单一API端点,并为Claude Desktop、Cursor、Windsurf和Python代理提供现成集成。
Step-by-step guide to deploy Hermes Agent on GCE with Gemini 2.5 Flash, including configuration, common pitfalls (e.g., 404 errors from incorrect model identifiers), and Systemd-based background persistence.
原文翻译:
在GCE上部署Hermes Agent并集成Gemini 2.5 Flash的分步指南,包括配置、常见陷阱(如错误模型标识符导致的404错误)以及基于Systemd的后台持久化。
Google spent over a decade telling developers that Google API keys are not secrets. But that's no longer true: Gemini accepts the same keys to access your private data. We scanned millions of websites and found nearly 3,000 Google API keys, originally deployed for public services like Google Maps, that now also authenticate to Gemini even though they were never intended for it. With a valid key, an attacker can access uploaded files, cached data, and charge LLM-usage to your account. Even Google themselves had old public API keys, which they thought were non-sensitive, that we could use to access Google’s internal Gemini.
原文翻译:
谷歌十多年来一直告诉开发者,API密钥不是机密。但情况已变:Gemini接受相同的密钥来访问您的私人数据。我们扫描了数百万网站,发现了近3000个原本用于谷歌地图等公开服务的API密钥,现在它们也能验证Gemini访问,尽管从未被设计用于此。攻击者拥有有效密钥即可访问上传文件、缓存数据,并向您的账户收取LLM使用费用。甚至谷歌自身也有旧的公开API密钥(他们认为不敏感),我们可以用来访问谷歌内部Gemini。
DeepSeek-V4 is a preview of the next-generation large language model with 1M context, leading open-source performance in knowledge, reasoning, and agent capabilities. It comes in Pro and Flash versions, both open-sourced with dual reasoning modes.
原文翻译:
DeepSeek-V4是新一代大语言模型预览版,拥有百万上下文,在知识、推理和Agent能力方面达到开源领先水平。提供Pro和Flash两个版本,均已开源并支持双模式推理。
RAG-Anything is an open-source framework developed by HKU researchers that enables unified multimodal retrieval-augmented generation, allowing AI systems to understand and retrieve knowledge from text, images, tables, charts, and equations through a dual-graph architecture.
原文翻译:
RAG-Anything是由香港大学研究人员开发的开源框架,实现了统一的多模态检索增强生成,通过双图架构使AI系统能够从文本、图像、表格、图表和方程式中理解和检索知识。