SAN FRANCISCO, May 27, 2026 — The Linux Foundation, the nonprofit organization enabling mass innovation through open source, today announced the launch of the DNS-AID project, an open source project […]
The post Linux Foundation Announces DNS-AID Project to Advance Decentralized AI Agent Discovery appeared first on AIwire.
Aztec Labs has acquired ZKPassport but will keep the privacy-focused passport-scanning app fully open source. Aztec Labs has acquired ZKPassport but will keep the privacy-focused passport-scanning app fully open source. The deal preserves the iOS NFC scanner and Noir circuits.…
SoFi Technologies has made SoFiUSD available to its nearly 15 million members, becoming the first U.S. national bank to offer a bank-issued stablecoin directly inside a banking application. SoFi Opens SoFiUSD to 15 Million Users, Targets Cross-Border Transfers and Bullish Listing The San Francisco-based company announced the launch on May 27, giving members the ability […]
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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