Google quer transformar o Spanner em motor de contexto para agentes de IA
O Google reposiciona o Spanner como base relacional, vetorial, grafo e full-text para agentes. A promessa é trocar arquitetura fragmentada por contexto operacional unificado.
#ai-agents
17 posts
Google wants Spanner to become the context engine for AI agents
Google is repositioning Spanner as a unified relational, vector, graph, and full-text foundation for agents. The pitch is less glue, more operational context.
Amazon Bedrock AgentCore Observability mostra onde agentes de IA quebram em produção
Novo recurso da AWS mostra como rastrear loops, falhas de tool e custo em agentes com métricas, traces e logs no Amazon Bedrock AgentCore.
Amazon Bedrock AgentCore Observability shows where AI agents break in production
AWS’s new AgentCore Observability package helps teams trace loops, tool failures, and token-heavy agent behavior across metrics, traces, and logs.
NVIDIA wants to own the operating layer of AI agents, not just the GPU
NVIDIA is bundling Agent Toolkit, OpenShell, NemoClaw and Nemotron into a safer, more auditable operating stack for enterprise AI agents.
GitHub Copilot App and Agent Finder Push Copilot Toward an Agent Hub
GitHub’s Copilot app GA and Agent Finder mark a shift from coding chat toward a desktop hub for sessions, tools, discovery, and governed agent work.
MosaicLeaks shows how deep research agents can leak secrets through ordinary web queries
MosaicLeaks shows how research agents can expose private data through normal-looking web searches, and why privacy-aware training matters.
Why git worktrees are becoming central to modern developer workflows
Git worktrees are moving from obscure Git feature to practical default for hotfixes, code review, and parallel work with AI coding agents.
OpenAI Buys Ona to Turn Codex Into a Persistent Cloud Agent
OpenAI’s Ona deal points to trusted cloud workspaces where agents can run persistently, securely, and under customer control.
GitHub Is Using an Accessibility Agent. And This Is One of the Most Practical Uses of AI Right Now
GitHub’s accessibility agent shows what useful AI looks like: narrow scope, clear rules, measurable outcomes, and real impact on product workflow.
The Cost Nobody Sees Until It Hits the Budget
AI agent costs rarely explode all at once. They creep up through wasted tokens, oversized prompts, and workflows no one has measured closely enough.
Anthropic acquires Stainless: The war for AI agent infrastructure just got real
Anthropic's acquisition of Stainless—the SDK startup used by OpenAI and Google—is a strategic move that changes how the agent infrastructure race plays out.
Google's Managed Agents Turn AI Agent Deployment Into a Platform Service
Google's Managed Agents in the Gemini API let developers deploy production-grade AI agents with a single API call and markdown files — no complex orchestration code required.
Google's Managed Agents Turn AI Agent Deployment Into a Platform Service
Google's Managed Agents in the Gemini API let developers deploy production-grade AI agents with a single API call and markdown files — no complex orchestration code required.
ITBench-AA Reveals the Hard Truth: AI Agents Can't Handle Real Enterprise IT Ops Yet
ITBench-AA shows frontier models score below 50% on real SRE tasks. Here's why this matters for enterprise agent adoption.
ITBench-AA Reveals the Hard Truth: Frontier AI Agents Still Fall Short on Real Enterprise IT Tasks
ITBench-AA shows frontier models score below 50% on real SRE tasks. Here's why this matters for enterprise agent adoption and what it means for your AI strategy.
Qwen3.7-Max: Why This Launch Stands Out in the Age of AI Agents
Alibaba’s new model is aimed less at one-shot answers and more at sustained execution: using tools, keeping context, and powering long-running AI agents.