Google has introduced Agent Executor, an open source runtime aimed at helping enterprises run AI agents more reliably at scale, as attention shifts from building agent prototypes to managing the operational challenges of putting them into production.
To address those production-related challenges, the runtime, according to the company, comes with capabilities that are geared towards supporting long-running and distributed agent workflows.
Typically, long-running agent workflows are AI-driven tasks that execute over extended periods, from minutes to days, often involving multiple steps, system interactions, pauses for human input, or recovery from interruptions before reaching completion.
For such workloads, the runtime includes support for durable execution, allowing workflows to resume after outages or human approvals, along with secure sandboxing for isolating agent components, session consistency controls for distributed workflows, and connection recovery features intended to preser
Google has introduced Agent Executor, an open source runtime aimed at helping enterprises run AI agents more reliably at scale, as attention shifts from building agent prototypes to managing the operational challenges of putting them into production.
To address those production-related challenges, the runtime, according to the company, comes with capabilities that are geared towards supporting long-running and distributed agent workflows.
Typically, long-running agent workflows are AI-driven tasks that execute over extended periods, from minutes to days, often involving multiple steps, system interactions, pauses for human input, or recovery from interruptions before reaching completion.
For such workloads, the runtime includes support for durable execution, allowing workflows to resume after outages or human approvals, along with secure sandboxing for isolating agent components, session consistency controls for distributed workflows, and connection recovery features intended to preser
The entire machine-payment ecosystem now runs almost entirely on a single stablecoin. More than 98% of all settlements made by AI agents in the past year were processed in Circle’s USDC, according to a new report from crypto investment firm Keyrock — a concentration that researchers say carries risks the industry has largely ignored. Related […]
Physical AI training is seen across industries ranging from warehousing and logistics to production and assembly lines that require human intervention to fit specific parts. Is this phenomenon testing India's privacy rules?
As MCP crosses 97 million monthly SDK downloads and AI agents move into production workflows, authentication has become the most critical infrastructure decision teams face. This guide ranks the eight leading platforms — WorkOS, Stytch, Auth0 by Okta, Composio, Nango, Arcade, TrueFoundry, and Cloudflare — on spec compliance, enterprise identity depth, integration breadth, and real-world fit for 2026 deployments.
The post Best Authentication Platforms for AI Agents and MCP Servers in 2026 appeared first on MarkTechPost.
The backlash was inevitable. For the past year, Silicon Valley has been telling us that software development is on the verge of becoming a prompt-and-ship exercise. You know, just describe what you want and let an AI coding agent build it. Sure, maybe you could keep a few token senior engineers around to bless the output…or maybe not. I mean, Google’s Sundar Pichai says 75% of its new code is now AI-generated and reviewed by engineers, up sharply from earlier levels.
Hurray! Right??? Well…
The Wall Street Journal recently highlighted warnings from Mario Zechner and Armin Ronacher, two engineers behind core pieces of the popular OpenClaw AI agent, who argue that AI coding tools are flooding software with what they call “vibe slop.” Their complaint is that too many people are using AI to skip the parts of software development that actually matter: design, judgment, testing, ownership, and deep understanding of the system being changed.
This is worth taking seriously. When people who help
