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Google Open Knowledge Format: Why Enterprise Agents Need a Knowledge Layer, Not

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1 SIGNALFIRST DETECTED 18 June 2026
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16 Jul
What Google Just Formalized (And What We've Been Building All Along)

<h2> Preface </h2> <p>I want to be upfront about something before we get into it. None of the frameworks in this article is mine. The ideas here come from two people who have been

REPORT · WHO · Dev.toOPEN STORY
16 May
Why Runtime Governance for LLM Agents Is Inevitable

<p>What three independent research groups concluded in early 2026 — and what it means for anyone building agent pipelines today</p> <p>In the first quarter of 2026, at least three

REPORT · WHEN · Dev.toOPEN STORY
25 Apr
Google Just Killed Vertex AI. Here's What the Gemini Enterprise Agent Platform

<p>Vertex AI has been Google Cloud's AI development platform since 2021. On April 22, 2026, at Google Cloud Next in Las Vegas, Google retired it — not with a deprecation notice,

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3 Jul
Open Knowledge Format (OKF): The Markdown Standard Your AI Agents Have Been Waiting For 📚

<p>AI agents are only as smart as the context you give them. OKF is a new open specification that packages your organizational knowledge as plain markdown files so any agent can

REPORT · WHAT · Dev.toOPEN STORY
3 May
USB-C for AI Agents

<p>In December 2025, something remarkable happened in the fractious world of artificial intelligence. Anthropic, OpenAI, Google, Microsoft, and a constellation of other technology

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27 Apr
The 7 Types of AI Reasoning That Will Reshape Knowledge Work

<p>Most people still think AI is about better answers. That phase is already behind us. What is emerging now is something fundamentally different: AI that reasons. Systems that do

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29 Mar
AI Agents for Business in 2026: What Actually Works (and What Is Still Hype)

<p>Last year I was hiring my third virtual assistant. The first one was great but moved on. The second ghosted after two weeks. By the time I was writing yet another job post on

REPORT · HOW · Dev.toOPEN STORY
26 Aug
Vector Database vs Knowledge Graph: Choosing Your LLM Store

<p><em>A field guide to the two storage paradigms behind every serious LLM application — scored on retrieval, reasoning, cost, and the questions each one can and cannot

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