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Agent Infrastructure

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Wednesday, 7 October 2026

Windows Gets Open-Weight A.I. Like China’s DeepSeek and Nvidia’s Nemotron

Trending Topics 1 week ago 2 ● 12 sources

Microsoft announced Windows as a more secure “hybrid intelligence” platform where AI agents can run locally or in the cloud inside OS sandboxes with company-controlled access rules. Surface Laptop Ultra with Nvidia’s RTX Spark chip starts preorders at $2,599 and is slated to ship from next Friday. Microsoft will generally release Windows 11 Microsoft Execution Containers (MXC), add Copilot local-file and search command actions to Copilot+ PCs, and expand the set of on-device model providers beyond OpenAI.

OpenSearch veterans launch Infino. Here’s why it matters for agent builders.

The New Stack 1 week ago 5

Infino launched an agent-focused retrieval platform aimed at replacing the fragmented mix of search, vector, and warehouse systems used by AI agents. It says queries can complete in milliseconds after a natural-language question is converted to a single query. The platform consolidates data into one Apache Parquet copy on object storage and is designed to cut the need for multiple pipelines while enabling centralized governance of what agents can access.

Can a Cloud-Native Harness Make Agents Reliable Beyond the Desktop?

Latent Space 1 week ago 34

Stacklok, founded by Kubernetes creators Craig McLuckie and Joe Beda, is building the open-source cloud-native agent harness Mecatl and related tooling to make AI coding agents more reliable when moved from desktop to cloud environments. Mecatl started as an open-source project in June and Stacklok raised a $17.5 million Series A in 2023. The approach shifts agent loops and session state into centrally managed cloud control systems rather than local JSONL files and tightly coupled desktop processes, and it wraps the open-source pieces with an “enterprise spine” control plane.

Kore.ai launches Autoloop to keep tuning enterprise AI agents after they go live

SiliconANGLE 1 week ago 13

Kore.ai launched Autoloop, an optimization engine that continuously tunes enterprise AI agents after they go live on its Agent Platform. Autoloop cites its 2026 Agent Productivity Index showing 79% of enterprises had reversed an action taken by an AI agent. This adds automated, goal-based iteration using trace-based validation and targeted blueprint-based fixes instead of manual one-off patching.

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