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2026-07-28
日期、来源、摘要、可信度和合规说明均来自通过完整审核门禁与哈希校验的每日公开快照；周报发布后由同期完整发布包接管。
Exa MCP search metadata: Snowflake debuts Cortex AI Gateway to govern and monitor enterprise AI agents - SiliconANGLE. Snowflake debuts Cortex AI Gateway to govern and monitor enterprise AI agents - SiliconANGLE UPDATED 09:00 EDT / JULY 28 2026 ### Snowflake debuts Cortex AI Gateway to govern and monitor enterprise AI agents Snowflake Inc. today introduced Cortex AI Gateway, a centralized control layer that lets enterprises connect, govern and monitor artificial intelligence agents as they reach into models, tools, Model Context Protocol servers and internal systems. Cortex AI Gateway is designed to govern agents built inside Snowflake, including its own CoWork and CoCo agents, alongside th... 来源：Exa MCP。Exa MCP public search metadata via the Agent Reach documented route; no cookies, login state, or full article body stored.
打开公开来源Exa MCP search metadata: Diagrid Catalyst 2.0 adds durable execution to more than 10 agent frameworks - SiliconANGLE. Diagrid Catalyst 2.0 adds durable execution to more than 10 agent frameworks - SiliconANGLE UPDATED 09:00 EDT / JULY 28 2026 ### Diagrid Catalyst 2.0 adds durable execution to more than 10 agent frameworks Agent infrastructure startup Diagrid Inc. today released Catalyst 2.0, an update to its managed workflow engine that adds automatic failure recovery and cryptographic verification to artificial intelligence agents built on frameworks such a LangGraph, Microsoft Agent Framework and Google’s Agent Development Kit. Developers do not have to rebuild anything to use it. Teams a... 来源：Exa MCP。Exa MCP public search metadata via the Agent Reach documented route; no cookies, login state, or full article body stored.
打开公开来源RSS 公开元数据：LFM2.5-Encoders for Fast Long-Context Inference on CPU。Today, we release two new encoder models on Hugging Face: LFM2.5-Encoder-230M and LFM2.5-Encoder-350M. They match the quality of larger models but stay fast as inputs get longer. This means you can run document-scale jobs on the hardware you already have, even on CPU. Here's what you get: Strong for their size: match or beat larger encoders on GLUE, SuperGLUE, and multilingual tasks. 8,192-token context with latency that grows slowly as inputs get longer. Fast on CPU: about 3.7× faster than ModernBERT-base at long context. With these, you can build intent routers, policy linters, PII detectors, and text classifiers that run ch... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored. Trafilatura public URL extraction; stored short extract only, no full article body, cookies, or headers.
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