Answer: InfoWorld reported Google introduced Agent Executor, an open source runtime intended to help enterprises run AI agents more reliably at scale. Google said it targets long-running and distributed agent workflows with durable execution that resumes after outages or human approvals, secure sandboxing, session consistency controls, connection recovery, and “trajectory branching” to test alternate paths from checkpoints.
InfoWorld said the runtime is described as bridging multiple deployment models, including on-prem, Google-managed agents, custom agents, and agents using the Agent2Agent (A2A) protocol. The article quoted analysts who said durability and resumability are major blockers for enterprise agents, and also said broader governance issues including accountability, explainability, policy enforcement, and secure access remain beyond runtime infrastructure alone.
Source: InfoWorld