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AI & Enterprise

Managing many AI agents at companies draws attention to different AWS and Google Cloud approaches

As companies put AI agents into real-world use, managing large numbers of agents is emerging as an issue. Amazon Web Services and Google are drawing attention with different approaches. Google focuses on managing agents at the system layer through a centralized control environment. AWS uses a harness approach in which developers predefine an agent’s role, model and tools, and the system runs the agent within that framework to speed experimentation and deployment.

AI & Enterprise

Salesforce offers Headless 360 as answer to CRM’s future in AI agent era

Salesforce’s next-generation agent development environment, Salesforce Headless 360, unveiled at its recent TDX event, is being described as the boldest architecture change in the company’s history. The product allows AI agents to call and execute Salesforce platform functions directly through APIs, MCP tools and command-line interface commands without human clicks. Salesforce highlighted three features: building agents in any way, deploying them to any screen, and tools to build trusted agents, including an open-sourced Agent Script language.

AI & Enterprise

Anthropic blocks third-party AI agent integration for Claude subscribers

Anthropic will block integration of third-party AI agent tools for subscribers to its Claude Pro and Claude Max plans, VentureBeat reported on Friday. Boris Cherny, head of Claude Code, said the subscription service was not designed for third-party usage patterns and that the company would prioritize customers using its products and API. Users can still access Claude models via external agents through paid Extra Usage plans or the API, which charges per token used.