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- Google Engineer Open-Sources “Always-On Memory Agent”
Google Engineer Open-Sources “Always-On Memory Agent”
Google Releases Workspace CLI to Enable AI Agents Across Gmail, Drive, and Calendar

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Welcome back! OP here again, helping you with another addition of Agent Pulse - your go-to spot for agentic news, insights and more.
In today’s:
👉 TOP Agentic News
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🎙️ What to Watch this Week
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Amazon Web Services introduced Amazon Connect Health, an AI agent-powered platform designed to automate healthcare administrative workflows. The system uses AI agents to handle tasks such as appointment scheduling, patient verification, documentation, and medical coding—aiming to reduce operational overhead for healthcare providers and accelerate the adoption of agent-driven automation in regulated industries. The launch highlights growing enterprise demand for verticalized AI agents that can execute real operational work rather than simply assist with information.
Google introduced a Workspace CLI interface designed for AI agents, enabling programmatic interaction with Gmail, Google Drive, and Calendar. The system includes built-in support for modern agent frameworks such as MCP and OpenClaw, allowing autonomous agents to read emails, schedule events, and manage files inside enterprise workflows. This move signals a shift toward making productivity platforms agent-accessible infrastructure, positioning enterprise tools as execution layers for autonomous AI systems.
Payments companies including Stripe and Circle are actively building infrastructure for AI agent–initiated payments, anticipating a future where autonomous software systems can make purchases on behalf of users. The effort reflects the early formation of agentic commerce rails, where financial networks must verify not only identity but also the intent of AI systems executing transactions. While still early, the move shows growing industry alignment around agents as economic actors capable of initiating commerce autonomously.
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A Google product manager released an open-source Always-On Memory Agent, proposing a new architecture for AI systems that maintain persistent memory without relying on traditional vector databases. The approach allows agents to maintain long-term context, remember user preferences, and track projects over time—capabilities seen as critical for multi-step autonomous workflows. The release reflects a broader shift toward stateful agents that operate continuously rather than responding to single prompts.
Amdocs introduced what it calls an Agentic Operating System designed to coordinate AI agents across telecom infrastructure including billing systems, network operations, and customer support workflows. The platform provides auditing and governance capabilities so enterprises can track and verify decisions made by AI agents across complex operational environments. The launch reflects the growing need for agent orchestration layers as organizations move from isolated AI pilots to large-scale multi-agent deployments.
New research shows AI bots and autonomous agents now crawl retail websites up to 198× more aggressively than Google, with bot traffic rising more than 5× in 2025. The surge reflects a shift toward agents collecting data for automation, training, and decision-making tasks across commerce and analytics. The findings highlight a growing challenge for businesses as agent traffic becomes a dominant layer of internet activity, forcing companies to rethink security and rate-limiting strategies.
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What to Watch this Week
🎙️AI on Fire: Real Builders. Real Heat.
Stories from people building AI Agents. Explore all episodes here
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🗺️ The Map of AI Agents (Live & Growing)
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