Accel-backed Keenable builds web index for AI agents

NVIDIA is demonstrating how developers can use frontier AI models like GPT-6 Astra and Claude Fable 5 combined with Omniverse libraries to build simulations faster. The approach lets developers direct AI agents through natural language to assemble assets, connect physics and rendering, and validate behavior. Four use cases show the method applied to warehouse robotics, autonomous vehicle testing, digital twin creation, and robot skill validation.

Google is expanding Gemini's capabilities to function as an autonomous AI agent for business users, enabling it to plan and execute tasks across multiple applications and systems. The agent can delegate work to subagents, leverage multiple AI models, and operates with its own workplace identity including an email address. This represents a shift from conversational AI toward task automation within enterprise environments.

Goodfire has launched monitoring technology that tracks AI agent behavior by examining internal model operations rather than requiring a separate AI system to audit outputs. The approach aims to reduce costs while maintaining oversight of potentially problematic agent actions. The company positions this as a more efficient alternative to existing monitoring methods that rely on external AI review.

Google is launching a universal Gemini AI agent designed to operate across multiple apps and devices as part of its Gemini at Work initiative. The agent will be available through the Gemini Enterprise app, enabling users to assign tasks and interact with it via Gmail, Drive, Docs, Sheets, Calendar, Slack, Microsoft 365, and other third-party applications. The cloud-based agent maintains context across all platforms and devices, including mobile, desktop, and web interfaces.