Knowledge Base For AI Agents: What It Must Do

<p>Most teams don't struggle to choose a knowledge base. They struggle to choose the right one for how they actually operate.</p> <p>The decision looks straightforward on the

<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

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

<h1> Google Remy and Meta Hatch: The Technical Architecture Behind 24/7 Personal AI Agents </h1> <p>Two big AI agent stories broke this week that every developer building on top

<h1> Your AI Agents Are Exploring Blind. Here's How to Give Them a Map. </h1> <p><em>Draft — queued after ai-autonomy-dod</em></p> <p>Every session, Claude reads the same files.

<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

<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

<p>If you’ve browsed agent engineering discussions recently, you’ve seen the same hype everywhere: MCP (Model Context Protocol) is the new standard for AI agents. Every new