206 summarised stories about Agent Infrastructure, each linking back to the original source. Browse all topics →
The New Stack 2 months ago 30 ● 2 sources
Arm and Google explained that AI infrastructure is shifting from chatbot responses to agentic tool use, making CPUs more central for orchestration and secure code execution. They said their GKE Agent Sandbox can spin up 300 sandboxes per second per cluster. As agents scale, customers rely more on CPU-based isolation/orchestration alongside small models and coordinated CPU/GPU/TPU compute.
Product Hunt 2 months ago 49
Cohesor is presented as a neutral control plane intended for enterprise AI agents. No number, date, or benchmark is provided in the excerpt. Because the snippet contains only a short heading and link, there’s not enough information to describe any concrete change yet.
Product Hunt 2 months ago 22
BearDrive is described as an open-source shared folder intended for a team’s AI agents. The page provides no specific benchmarks, dates, or pricing details. This mainly changes expectations by positioning the project as a shared workspace rather than a new model or research result.
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22 October 2026
The biggest thread today is the push to make AI agents reusable in organizations, not just clever in demos. Sakana AI’s “Sakana Aquarium” leans on ontology as the shared backbone for decision-making and execution, aiming to let teams spin up new agents by reusing prepared data and a maintained knowledge model instead of starting from scratch each workflow. That direction keeps showing up in adjacent efforts to standardize how agents package skills and access tools: the Agentic AI Foundation added the Agent Skills open standard to sit under the Linux Foundation, with 70-plus platforms integrating since December 2025 and hundreds of millions of installations behind them. Even Anthropic’s new open call for life-sciences “guest investigators” using Claude fits the same pattern—8 to 12 weeks of collaboration designed to produce publishable, open artifacts while leaving researchers in control of their own data.
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